This document summarizes a research paper that analyzes the life-cycle patterns of firms' financing decisions and how they interact with future growth and development decisions. It proposes a dynamic model to explain three different financing sequences (debt-debt, equity-debt, equity-equity) that firms may take on over their life cycle. The model predicts that different financing sequences will depend on project characteristics, firm characteristics, market conditions, and country characteristics. It also suggests that initial financing decisions can create path dependencies that influence future financing and expansion decisions. Lack of start-up financing may also slow firm dynamics depending on specific conditions.
This document summarizes research on the impact of debt crisis on corporate firm performance in Slovakia. It finds that 91% of changes in debt ratios of firms with 3000-3999 employees can be explained by changes in variables like profit, assets, and debt to EBITDA. A comparison of 2010 and 2013 data showed an increase in firm assets. The conclusion is that firms need to make timely changes to improve financial performance during a debt crisis.
Determinants of capital_structure_an_empR Ehan Raja
This document summarizes a research paper that investigates the determinants of capital structure for manufacturing firms in Pakistan. The paper reviews various capital structure theories and identifies firm-specific factors that may influence a firm's debt ratio. An empirical analysis is then conducted using data from 160 Pakistani manufacturing firms to determine which factors, such as profitability, size, liquidity, etc., are significantly related to the debt ratios of these firms. The findings indicate several factors predicted by trade-off theory, pecking order theory, and agency theory help explain the financing behavior of Pakistani firms, suggesting some universal applicability of capital structure models from Western settings.
This document summarizes a research paper that examines "hot" debt markets and their impact on corporate capital structure. The paper finds that:
1) Perceived favorable capital market conditions and information asymmetry costs are important factors that lead firms to issue more debt during hot debt market periods.
2) Firms with high information asymmetry costs issue significantly more debt when debt market conditions are hot compared to when markets are cold.
3) Hot debt market issuance has a persistent effect on the capital structure of issuing firms, which do not actively rebalance their leverage levels over the long-term as capital structure theories would predict.
This document provides a study guide and analysis for a case study on determining the appropriate discount rate for cash flows in Venezuela for Telmex's potential acquisition of shares in CANTV.
The study guide outlines the teaching objectives of understanding challenges in estimating the cost of capital in emerging markets. It also reviews different methodologies that have been used to incorporate country risk into discount rate calculations, including modified versions of the CAPM model. The analyses of these methods note their advantages and disadvantages when the perception of sovereign risk differs from private sector risk, as it does in Venezuela.
The document concludes by providing a teaching plan to analyze financial information, review risk calculation theories, consider the dilemma of what discount rate to propose,
11.the impact of interest rate on profit among the united arab emirates uae s...Alexander Decker
The document summarizes a study that examined the impact of interest rates on the profits of small and medium enterprises (SMEs) in the United Arab Emirates (UAE). A questionnaire was administered to 20 employees of UAE SMEs to understand how interest rates affect company profits. The results showed that interest rates highly impact profits of SMEs in the UAE, with the highest mean scores relating to clear customer information about accounts and accurate advertising. The lowest mean scores related to avoiding increasing debt levels beyond repayment capacity and explicit credit approval policies. In conclusion, the study provides initial evidence that interest rates influence profits of SMEs in the UAE.
Introduction to Risk and Efficiency among CDFIs: A Statistical Evaluation usi...nc_initiative
This introductory essay provides general background information on the institutional differences between regulated CDFIs and mainstream financial institutions.
This document summarizes a study that uses a matched sample of individual loans, borrowers, and banks to investigate the effect of banks' financial health on the cost of loans for borrowers, while controlling for borrower risk and information costs. The key findings are:
1) Borrowers pay higher interest rates on loans from low-capital banks compared to well-capitalized banks, even after controlling for borrower risk.
2) This effect is most significant for borrowers where information costs are likely important.
3) When borrowing from weak banks, these high-information-cost borrowers tend to hold more cash, indicating costs to switching lenders.
4) The results provide support for
Filippos Petroulakis - Discussion on “Financial frictions and within firm per...Structuralpolicyanalysis
This document summarizes discussions from a conference on financial factors and productivity. It discusses three papers that found credit frictions have significant negative impacts on firm productivity. More bank forbearance during crises leads to less "cleansing" of unproductive firms but also less growth after crises. While bank recapitalization aims to strengthen banks, it can also act like forbearance. The document discusses reconciling these results and their implications for policies that preserve credit supply.
This document summarizes research on the impact of debt crisis on corporate firm performance in Slovakia. It finds that 91% of changes in debt ratios of firms with 3000-3999 employees can be explained by changes in variables like profit, assets, and debt to EBITDA. A comparison of 2010 and 2013 data showed an increase in firm assets. The conclusion is that firms need to make timely changes to improve financial performance during a debt crisis.
Determinants of capital_structure_an_empR Ehan Raja
This document summarizes a research paper that investigates the determinants of capital structure for manufacturing firms in Pakistan. The paper reviews various capital structure theories and identifies firm-specific factors that may influence a firm's debt ratio. An empirical analysis is then conducted using data from 160 Pakistani manufacturing firms to determine which factors, such as profitability, size, liquidity, etc., are significantly related to the debt ratios of these firms. The findings indicate several factors predicted by trade-off theory, pecking order theory, and agency theory help explain the financing behavior of Pakistani firms, suggesting some universal applicability of capital structure models from Western settings.
This document summarizes a research paper that examines "hot" debt markets and their impact on corporate capital structure. The paper finds that:
1) Perceived favorable capital market conditions and information asymmetry costs are important factors that lead firms to issue more debt during hot debt market periods.
2) Firms with high information asymmetry costs issue significantly more debt when debt market conditions are hot compared to when markets are cold.
3) Hot debt market issuance has a persistent effect on the capital structure of issuing firms, which do not actively rebalance their leverage levels over the long-term as capital structure theories would predict.
This document provides a study guide and analysis for a case study on determining the appropriate discount rate for cash flows in Venezuela for Telmex's potential acquisition of shares in CANTV.
The study guide outlines the teaching objectives of understanding challenges in estimating the cost of capital in emerging markets. It also reviews different methodologies that have been used to incorporate country risk into discount rate calculations, including modified versions of the CAPM model. The analyses of these methods note their advantages and disadvantages when the perception of sovereign risk differs from private sector risk, as it does in Venezuela.
The document concludes by providing a teaching plan to analyze financial information, review risk calculation theories, consider the dilemma of what discount rate to propose,
11.the impact of interest rate on profit among the united arab emirates uae s...Alexander Decker
The document summarizes a study that examined the impact of interest rates on the profits of small and medium enterprises (SMEs) in the United Arab Emirates (UAE). A questionnaire was administered to 20 employees of UAE SMEs to understand how interest rates affect company profits. The results showed that interest rates highly impact profits of SMEs in the UAE, with the highest mean scores relating to clear customer information about accounts and accurate advertising. The lowest mean scores related to avoiding increasing debt levels beyond repayment capacity and explicit credit approval policies. In conclusion, the study provides initial evidence that interest rates influence profits of SMEs in the UAE.
Introduction to Risk and Efficiency among CDFIs: A Statistical Evaluation usi...nc_initiative
This introductory essay provides general background information on the institutional differences between regulated CDFIs and mainstream financial institutions.
This document summarizes a study that uses a matched sample of individual loans, borrowers, and banks to investigate the effect of banks' financial health on the cost of loans for borrowers, while controlling for borrower risk and information costs. The key findings are:
1) Borrowers pay higher interest rates on loans from low-capital banks compared to well-capitalized banks, even after controlling for borrower risk.
2) This effect is most significant for borrowers where information costs are likely important.
3) When borrowing from weak banks, these high-information-cost borrowers tend to hold more cash, indicating costs to switching lenders.
4) The results provide support for
Filippos Petroulakis - Discussion on “Financial frictions and within firm per...Structuralpolicyanalysis
This document summarizes discussions from a conference on financial factors and productivity. It discusses three papers that found credit frictions have significant negative impacts on firm productivity. More bank forbearance during crises leads to less "cleansing" of unproductive firms but also less growth after crises. While bank recapitalization aims to strengthen banks, it can also act like forbearance. The document discusses reconciling these results and their implications for policies that preserve credit supply.
This document discusses empirical research on the determinants of bank lending across countries. It proposes estimating equations to model domestic credit levels based on bank balance sheet and capital requirements approaches. The analysis will use data from 146 countries over 1990-2013 to examine how economic growth, banking system health, and external capital flows influence domestic credit after controlling for other factors. Key determinants expected to impact credit include deposits, interest rates, costs, capital levels, and macroeconomic conditions.
The relationship between net interest margin and return on assets of listed b...Alexander Decker
This study examined the relationship between net interest margin (NIM) and return on assets (ROA) of listed banks in Ghana from 2005-2011. It found a strong positive correlation between NIM and ROA, with NIM explaining 82.6% of the variation in ROA. Both NIM and ROA generally decreased over the period, though they increased between 2009-2010. The study also found a very strong positive relationship between net interest income and profit before tax, with net interest income explaining 99.8% of the variation in profit before tax. In conclusion, the ability of banks to generate net interest income was highly influential in determining their level of profitability.
This document summarizes a research paper that analyzed the determinants of credit risk in the Indonesian banking industry. Specifically, it examined how bank-specific variables like bank size, profitability, capital adequacy, and ownership structure influence the level of non-performing loans (NPL), which is used as a measure of credit risk. The document reviews several previous studies that also analyzed the relationship between credit risk and bank-specific factors in other countries. It then outlines the methodology that will be used in the research, including the data collection and analysis methods.
This document discusses factors that influence the level of credit risk in Ethiopian commercial banks. It presents a conceptual framework that categorizes credit risk factors into three groups: quantity of credit risk, quality of credit risk management, and direction of credit risk.
The study uses a quantitative approach with descriptive and econometric techniques on data from 8 major Ethiopian banks from 1990-2012. Regression models are used to analyze the influence of factors in each group as well as a combined model.
The results show that quantity of risk and quality of risk management variables have more influence on credit risk levels, while direction variables have limited impact. Specifically, higher loan amounts, loan growth rates, and single borrower limits increased credit risk, while
This document summarizes a study that investigated the determinants of commercial bank lending behavior in Nigeria. The study aimed to test how common factors like deposits, investments, interest rates, reserve requirements, and liquidity ratios affect bank lending. Regression analysis found the model to be significant, with deposits having the greatest impact on lending. The study suggests banks focus on deposit mobilization to enhance lending performance and develop strategic plans.
This chapter discusses interest rates and their role in valuation. It defines key terms like yield to maturity and explains how to calculate interest rates for different debt instruments. It also distinguishes between nominal interest rates and real interest rates after adjusting for inflation. Finally, it discusses the relationship between interest rates and investment returns and how duration measures the sensitivity of prices to interest rate changes.
International Journal of Business and Management Invention (IJBMI)inventionjournals
International Journal of Business and Management Invention (IJBMI) is an international journal intended for professionals and researchers in all fields of Business and Management. IJBMI publishes research articles and reviews within the whole field Business and Management, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
This document summarizes a study that examined the determinants of commercial bank lending in Ethiopia between 2005-2011. The study tested whether bank size, credit risk, GDP, investment, deposit, interest rate, liquidity ratio, and cash reserve requirements influenced bank lending. It found that bank size, credit risk, GDP, and liquidity ratio had a significant relationship with lending, but deposit, investment, interest rate, and cash reserves did not. The study suggests banks focus on managing credit risk and liquidity to support lending.
This thesis investigates the determinants of lending behavior among commercial banks in Ethiopia. The author conducted a case study of eight commercial banks over the period of 2001 to 2013. Through a panel data regression analysis, the author found that deposit volume and bank size had a positive and significant impact on loans and advances. Liquidity ratio and interest rate had a negative and significant impact. Cash reserve requirements and inflation rate had a positive impact, though the relationship was unexpected. GDP growth did not have a statistically significant impact. The study suggests commercial banks focus on deposit mobilization to enhance lending.
This chapter discusses factors that cause interest rates to change, including:
1. Supply and demand in the bond market, where the demand curve can shift due to changes in wealth, expected returns, risk, and liquidity. The supply curve can shift due to expected profitability, inflation, and government activities.
2. When the demand or supply curves shift, they cause interest rates to change to reach a new equilibrium. For example, higher expected returns will shift demand out and increase rates, while higher expected inflation will shift supply out and increase rates.
3. The chapter provides examples to illustrate concepts like expected return, risk measured by standard deviation, and how demand and supply determine the equilibrium interest rate.
This document discusses the importance of controlling operating expenses to ensure profitability on loans. It provides the following key points:
1) While interest margins have widened as rates have fallen, operating costs as a percentage of assets have risen for mortgage, consumer, and credit card loans.
2) Calculating accurate loan origination and maintenance costs is important for properly pricing loans. Formulas are provided to determine these per-loan costs based on department costs and time spent on origination vs maintenance.
3) Controlling costs, such as by requiring electronic payments, can significantly increase returns on auto loans compared to simply raising rates or fees. Reducing costs preserves competitive positioning versus competitors who rely on price increases.
This document summarizes a literature review on the effectiveness of financial education. Some key findings from the review include:
- Many existing financial literacy programs are relatively new, so much of the existing research is also new and the field is still developing.
- Research shows that some households make mistakes with personal finance decisions, and mistakes are more common for low-income and less educated households.
- There is evidence that increases in financial knowledge can positively impact financial behavior and decision-making.
- Financial education appears to provide benefits across several areas like retirement planning, savings, homeownership, and credit use.
The moderating role of bank performance indicators on credit risk of indian p...Alexander Decker
The document analyzes the moderating role of bank performance indicators on the relationship between lending (advances) and credit risk (non-performing assets or NPA) for Indian public sector banks from 2000-2001 to 2011-2012. It finds that bank performance variables like borrowing, investments, reserves, deposits, capital, and total assets moderate the relationship between advances and NPA. Specifically, the study shows that over 90% of the variability in gross NPA for State Bank of India and its associates can be explained when including these bank performance variables and their interaction with advances in the regression model.
This document discusses principles for reorienting regional/local banks towards sustainability. It outlines that sustainable finance has two expressions: socially responsible investment that integrates environmental, social and governance factors; and sustainable banking that considers a bank's social and environmental impacts through its lending and investments. The document examines international sustainable responsible investment principles and how they filter down to smaller banks. It also analyzes case studies of sustainable banks and factors that help or hinder their success, such as regulations, market interests, and internal willingness to change. Overall, the document finds that sustainable banks have potential to create public value and positively influence their communities through stable, ethical products secured by savings rather than speculation.
This document summarizes a research paper that investigates the role of non-bank financial institutions (OFIs), including credit unions, in economic growth. It analyzes data from 76 countries from 1981 to 2005. The paper finds that measures of OFI assets and credit are positively and significantly related to real GDP growth, even after controlling for bank credit. Measures of credit union loans and assets are also positively linked to economic growth. While bank credit is positively related to growth, the relationship is not statistically significant over the sample period. The findings suggest that OFIs play an important role in promoting economic growth.
This document discusses how risk and term structure affect interest rates. It begins by previewing the topics of the risk structure and term structure of interest rates. It then examines how default risk, liquidity, and income taxes impact the risk structure of long-term bonds. Finally, it introduces the pure expectations theory to explain how interest rates vary with maturity, known as the term structure of interest rates.
Ana Gouveia - Financial Policies, financial systems and productivity - Discus...Structuralpolicyanalysis
This document summarizes discussions from a conference on weak productivity and the role of financial factors and policies. It discusses four academic papers and their findings. The first paper finds that restricted credit availability due to the financial crisis led to increased business failure, especially for highly leveraged firms. The second paper finds that weak banks and high firm leverage reduced investment, and this effect was stronger for firms linked to weak banks with high rollover risk. The third paper finds that loose monetary policy increased productivity growth by alleviating credit constraints, while quantitative easing reduced productivity growth. The document then discusses insights from research on Portugal, including definitions of weak banks, mechanisms like the link between weak banks and zombie firms, non-linear effects of leverage on investment
This document is a thesis submitted by Georgios Gialamidis for the degree of Master of Science in Banking and Finance at the International Hellenic University in November 2015. The thesis examines the impact of credit rating changes by Moody's, Standard & Poor's, and Fitch on bond yields and equity returns in five European countries (Portugal, Ireland, Italy, Greece, and Spain) during the 2008 economic crisis. It also analyzes information transfer between these countries and six other stable European countries (Germany, Austria, Switzerland, Sweden, Netherlands, and UK). Using event study methodology and regression analysis, the thesis finds credit downgrades had a more significant impact than upgrades, with Greece having the largest effect. It
1) The document examines how government intervention in the banking sector during financial crises affects long-term productivity.
2) It finds that higher regulatory forbearance (allowing struggling banks to remain open) reduces short-term economic losses but is negatively associated with post-crisis productivity growth, as it allows inefficient firms to remain in operation.
3) In contrast, tougher policies like bank restructuring that force struggling banks to close are found to yield higher long-term job creation, wages, and economic growth, suggesting financial crises can "cleanse" economies of inefficient firms and banks when governments take a stricter approach.
The aim of this paper is to analyze the liquidity levels of various banks in the UAE for the period 2005-2009. To understand the behavior of liquidity indicators especially during the financial crisis, the researcher will analyze the four liquidity indicators over the years 2005 to 2009. The findings highlight how the banks in question have been impacted by the 2007-2008 crisis. This can most obviously be seen in the notable decline of each of the banks liquidity level in 2009. The effect of loans to total assets, loans to customers’ deposit, and investment to total assets ratios for the five banks was most notable in 2009. Two liquidity ratios were analyzed in order to determine the banks’ ability to honor its debt obligations, these being loans to total assets and loans to customers respectively. The third ratio was the total equity to total assets to assess the liquidity level in the capital structure, while the fourth ratio was the investment to total assets to measure the managing of liquidity. While Bank liquidity was affected by the crisis, bank performance remained relatively stable, as measured by coefficient of variation, since these banks were able to yield more control over cash flows in comparison to revenues and costs.
Creditinfo Jamaica Seminar - Establishing a credit bureau in jamaica (gene leon)Creditinfo
Dr. Gene Leon discusses the important role that credit bureaus play in providing information to financial institutions to assess credit risk and make lending decisions. Credit bureaus decrease information asymmetries, help evaluate creditworthiness more accurately, and increase access to affordable credit, thereby facilitating economic growth. While credit bureaus provide significant benefits, it is important they maintain public trust by operating with transparency, security, reliability and understanding to gain widespread acceptance. Successful implementation may take several years and require a cultural shift toward greater openness about personal financial information.
The document examines the determinants of access to bank financing for small and medium enterprises in Sri Lanka. Through a literature review and analysis of survey data, it finds that the education level of entrepreneurs and membership in business associations are associated with greater access to bank financing, while other factors like firm size, age, and financial characteristics are not associated. The findings provide insights for banks, training institutions, and policymakers to improve small businesses' access to financing in Sri Lanka.
This document discusses empirical research on the determinants of bank lending across countries. It proposes estimating equations to model domestic credit levels based on bank balance sheet and capital requirements approaches. The analysis will use data from 146 countries over 1990-2013 to examine how economic growth, banking system health, and external capital flows influence domestic credit after controlling for other factors. Key determinants expected to impact credit include deposits, interest rates, costs, capital levels, and macroeconomic conditions.
The relationship between net interest margin and return on assets of listed b...Alexander Decker
This study examined the relationship between net interest margin (NIM) and return on assets (ROA) of listed banks in Ghana from 2005-2011. It found a strong positive correlation between NIM and ROA, with NIM explaining 82.6% of the variation in ROA. Both NIM and ROA generally decreased over the period, though they increased between 2009-2010. The study also found a very strong positive relationship between net interest income and profit before tax, with net interest income explaining 99.8% of the variation in profit before tax. In conclusion, the ability of banks to generate net interest income was highly influential in determining their level of profitability.
This document summarizes a research paper that analyzed the determinants of credit risk in the Indonesian banking industry. Specifically, it examined how bank-specific variables like bank size, profitability, capital adequacy, and ownership structure influence the level of non-performing loans (NPL), which is used as a measure of credit risk. The document reviews several previous studies that also analyzed the relationship between credit risk and bank-specific factors in other countries. It then outlines the methodology that will be used in the research, including the data collection and analysis methods.
This document discusses factors that influence the level of credit risk in Ethiopian commercial banks. It presents a conceptual framework that categorizes credit risk factors into three groups: quantity of credit risk, quality of credit risk management, and direction of credit risk.
The study uses a quantitative approach with descriptive and econometric techniques on data from 8 major Ethiopian banks from 1990-2012. Regression models are used to analyze the influence of factors in each group as well as a combined model.
The results show that quantity of risk and quality of risk management variables have more influence on credit risk levels, while direction variables have limited impact. Specifically, higher loan amounts, loan growth rates, and single borrower limits increased credit risk, while
This document summarizes a study that investigated the determinants of commercial bank lending behavior in Nigeria. The study aimed to test how common factors like deposits, investments, interest rates, reserve requirements, and liquidity ratios affect bank lending. Regression analysis found the model to be significant, with deposits having the greatest impact on lending. The study suggests banks focus on deposit mobilization to enhance lending performance and develop strategic plans.
This chapter discusses interest rates and their role in valuation. It defines key terms like yield to maturity and explains how to calculate interest rates for different debt instruments. It also distinguishes between nominal interest rates and real interest rates after adjusting for inflation. Finally, it discusses the relationship between interest rates and investment returns and how duration measures the sensitivity of prices to interest rate changes.
International Journal of Business and Management Invention (IJBMI)inventionjournals
International Journal of Business and Management Invention (IJBMI) is an international journal intended for professionals and researchers in all fields of Business and Management. IJBMI publishes research articles and reviews within the whole field Business and Management, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
This document summarizes a study that examined the determinants of commercial bank lending in Ethiopia between 2005-2011. The study tested whether bank size, credit risk, GDP, investment, deposit, interest rate, liquidity ratio, and cash reserve requirements influenced bank lending. It found that bank size, credit risk, GDP, and liquidity ratio had a significant relationship with lending, but deposit, investment, interest rate, and cash reserves did not. The study suggests banks focus on managing credit risk and liquidity to support lending.
This thesis investigates the determinants of lending behavior among commercial banks in Ethiopia. The author conducted a case study of eight commercial banks over the period of 2001 to 2013. Through a panel data regression analysis, the author found that deposit volume and bank size had a positive and significant impact on loans and advances. Liquidity ratio and interest rate had a negative and significant impact. Cash reserve requirements and inflation rate had a positive impact, though the relationship was unexpected. GDP growth did not have a statistically significant impact. The study suggests commercial banks focus on deposit mobilization to enhance lending.
This chapter discusses factors that cause interest rates to change, including:
1. Supply and demand in the bond market, where the demand curve can shift due to changes in wealth, expected returns, risk, and liquidity. The supply curve can shift due to expected profitability, inflation, and government activities.
2. When the demand or supply curves shift, they cause interest rates to change to reach a new equilibrium. For example, higher expected returns will shift demand out and increase rates, while higher expected inflation will shift supply out and increase rates.
3. The chapter provides examples to illustrate concepts like expected return, risk measured by standard deviation, and how demand and supply determine the equilibrium interest rate.
This document discusses the importance of controlling operating expenses to ensure profitability on loans. It provides the following key points:
1) While interest margins have widened as rates have fallen, operating costs as a percentage of assets have risen for mortgage, consumer, and credit card loans.
2) Calculating accurate loan origination and maintenance costs is important for properly pricing loans. Formulas are provided to determine these per-loan costs based on department costs and time spent on origination vs maintenance.
3) Controlling costs, such as by requiring electronic payments, can significantly increase returns on auto loans compared to simply raising rates or fees. Reducing costs preserves competitive positioning versus competitors who rely on price increases.
This document summarizes a literature review on the effectiveness of financial education. Some key findings from the review include:
- Many existing financial literacy programs are relatively new, so much of the existing research is also new and the field is still developing.
- Research shows that some households make mistakes with personal finance decisions, and mistakes are more common for low-income and less educated households.
- There is evidence that increases in financial knowledge can positively impact financial behavior and decision-making.
- Financial education appears to provide benefits across several areas like retirement planning, savings, homeownership, and credit use.
The moderating role of bank performance indicators on credit risk of indian p...Alexander Decker
The document analyzes the moderating role of bank performance indicators on the relationship between lending (advances) and credit risk (non-performing assets or NPA) for Indian public sector banks from 2000-2001 to 2011-2012. It finds that bank performance variables like borrowing, investments, reserves, deposits, capital, and total assets moderate the relationship between advances and NPA. Specifically, the study shows that over 90% of the variability in gross NPA for State Bank of India and its associates can be explained when including these bank performance variables and their interaction with advances in the regression model.
This document discusses principles for reorienting regional/local banks towards sustainability. It outlines that sustainable finance has two expressions: socially responsible investment that integrates environmental, social and governance factors; and sustainable banking that considers a bank's social and environmental impacts through its lending and investments. The document examines international sustainable responsible investment principles and how they filter down to smaller banks. It also analyzes case studies of sustainable banks and factors that help or hinder their success, such as regulations, market interests, and internal willingness to change. Overall, the document finds that sustainable banks have potential to create public value and positively influence their communities through stable, ethical products secured by savings rather than speculation.
This document summarizes a research paper that investigates the role of non-bank financial institutions (OFIs), including credit unions, in economic growth. It analyzes data from 76 countries from 1981 to 2005. The paper finds that measures of OFI assets and credit are positively and significantly related to real GDP growth, even after controlling for bank credit. Measures of credit union loans and assets are also positively linked to economic growth. While bank credit is positively related to growth, the relationship is not statistically significant over the sample period. The findings suggest that OFIs play an important role in promoting economic growth.
This document discusses how risk and term structure affect interest rates. It begins by previewing the topics of the risk structure and term structure of interest rates. It then examines how default risk, liquidity, and income taxes impact the risk structure of long-term bonds. Finally, it introduces the pure expectations theory to explain how interest rates vary with maturity, known as the term structure of interest rates.
Ana Gouveia - Financial Policies, financial systems and productivity - Discus...Structuralpolicyanalysis
This document summarizes discussions from a conference on weak productivity and the role of financial factors and policies. It discusses four academic papers and their findings. The first paper finds that restricted credit availability due to the financial crisis led to increased business failure, especially for highly leveraged firms. The second paper finds that weak banks and high firm leverage reduced investment, and this effect was stronger for firms linked to weak banks with high rollover risk. The third paper finds that loose monetary policy increased productivity growth by alleviating credit constraints, while quantitative easing reduced productivity growth. The document then discusses insights from research on Portugal, including definitions of weak banks, mechanisms like the link between weak banks and zombie firms, non-linear effects of leverage on investment
This document is a thesis submitted by Georgios Gialamidis for the degree of Master of Science in Banking and Finance at the International Hellenic University in November 2015. The thesis examines the impact of credit rating changes by Moody's, Standard & Poor's, and Fitch on bond yields and equity returns in five European countries (Portugal, Ireland, Italy, Greece, and Spain) during the 2008 economic crisis. It also analyzes information transfer between these countries and six other stable European countries (Germany, Austria, Switzerland, Sweden, Netherlands, and UK). Using event study methodology and regression analysis, the thesis finds credit downgrades had a more significant impact than upgrades, with Greece having the largest effect. It
1) The document examines how government intervention in the banking sector during financial crises affects long-term productivity.
2) It finds that higher regulatory forbearance (allowing struggling banks to remain open) reduces short-term economic losses but is negatively associated with post-crisis productivity growth, as it allows inefficient firms to remain in operation.
3) In contrast, tougher policies like bank restructuring that force struggling banks to close are found to yield higher long-term job creation, wages, and economic growth, suggesting financial crises can "cleanse" economies of inefficient firms and banks when governments take a stricter approach.
The aim of this paper is to analyze the liquidity levels of various banks in the UAE for the period 2005-2009. To understand the behavior of liquidity indicators especially during the financial crisis, the researcher will analyze the four liquidity indicators over the years 2005 to 2009. The findings highlight how the banks in question have been impacted by the 2007-2008 crisis. This can most obviously be seen in the notable decline of each of the banks liquidity level in 2009. The effect of loans to total assets, loans to customers’ deposit, and investment to total assets ratios for the five banks was most notable in 2009. Two liquidity ratios were analyzed in order to determine the banks’ ability to honor its debt obligations, these being loans to total assets and loans to customers respectively. The third ratio was the total equity to total assets to assess the liquidity level in the capital structure, while the fourth ratio was the investment to total assets to measure the managing of liquidity. While Bank liquidity was affected by the crisis, bank performance remained relatively stable, as measured by coefficient of variation, since these banks were able to yield more control over cash flows in comparison to revenues and costs.
Creditinfo Jamaica Seminar - Establishing a credit bureau in jamaica (gene leon)Creditinfo
Dr. Gene Leon discusses the important role that credit bureaus play in providing information to financial institutions to assess credit risk and make lending decisions. Credit bureaus decrease information asymmetries, help evaluate creditworthiness more accurately, and increase access to affordable credit, thereby facilitating economic growth. While credit bureaus provide significant benefits, it is important they maintain public trust by operating with transparency, security, reliability and understanding to gain widespread acceptance. Successful implementation may take several years and require a cultural shift toward greater openness about personal financial information.
The document examines the determinants of access to bank financing for small and medium enterprises in Sri Lanka. Through a literature review and analysis of survey data, it finds that the education level of entrepreneurs and membership in business associations are associated with greater access to bank financing, while other factors like firm size, age, and financial characteristics are not associated. The findings provide insights for banks, training institutions, and policymakers to improve small businesses' access to financing in Sri Lanka.
Specialty lending has grown significantly due to new regulations tightening bank lending standards. This has led banks to pull back from high-risk lending, driving clients to digital alternative lenders. These lenders utilize technology like big data and automation to efficiently match borrowers and lenders. Though still small compared to traditional banks, the specialty lending market has grown exponentially and has considerable room for further expansion, representing an opportunity for investors.
This document appears to be an introduction and outline for an MSc dissertation on the role of financial regulations in the risk and profit efficiency of commercial banks in the U.S. It provides background on bank regulations and non-performing loans. The methodology will use data envelopment analysis and regression models to analyze how regulations impact efficiency and risk for large and small banks from 2002-2015. Preliminary results found that higher provision coverage reduced risk for large banks, while higher capital and leverage ratios increased efficiency and reduced risk for small banks. Overall, the dissertation aims to examine the tradeoff between bank efficiency and risk under different financial regulations.
The document presents an investment thesis for establishing a fund that will build and manage a diversified portfolio of peer-to-peer (P2P) loans. It discusses the emergence and growth of P2P lending, provides an overview of the major P2P lending platforms and their business models, examines the market growth potential for P2P lending in the UK and US, models expected returns from investing in P2P loans, reviews key risks, and concludes there is significant opportunity to create a P2P lending fund that can achieve £1 billion in assets under management by 2020.
Proposed topic of the res an emperical analysis on interest rate risk managem...tesfatsion tefera
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07. the determinants of capital structurenguyenviet30
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Phone Charges Per Roommate for FebruaryBasic Monthly Service Rat.docxrandymartin91030
Phone Charges Per Roommate for February
Basic Monthly Service Rate
20.44
Long Distance Charges for Each Roommate:
Jamesson
Coleman
Depindeau
Struthers
5.65
0.25
1.35
3.75
0.45
0.65
2.15
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1.68
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1.23
4.15
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1.25
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Total Long Distance
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10.53
13.05
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Share of Basic Rate
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Total
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15.64
18.16
18.63
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The Role of PRivaTe equiTy in u.S. CaPiTal MaRkeTS
The Role of Private equity in u.S. Capital Markets
Robert J. Shapiro and nam D. Pham
october 2008
S O N E C O N
1The Role of PRivaTe equiTy in u.S. CaPiTal MaRkeTS
The Role of Private equity in u.S. Capital Markets
Robert J. Shapiro and nam D. Pham1
inTRoDuCTion
Private equity transactions and operations in the United States have grown dramatically over the last genera-
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ing less than $13 million in direct capital raised and invested, to 2,474 deals in 2007 for which buyout firms
directly raised and invested approximately $70 billion (net of leverage or borrowing).2 Including leverage, the
value of U.S. buyout deals averaged about $100 billion per-year from 2000 to 2005.3 However, these sharp
increases in private-equity buyouts, virtually all of them leveraged and some very highly so, have raised
concerns about the economy’s vulnerability to a systemic financial market event if a large firm, or a series of
firms purchased in a highly-leveraged buyout or a major private equity firm should suddenly fail. These con-
cerns have been heightened by the systemic crisis and enormous costs triggered by the large-scale failures
of mortgage-backed securities and their derivatives, including the collapse of Bear Stearns, Lehman Broth-
ers, AIG, Fannie Mae, Freddie Mac and Countrywide Financial Corp., and the severe financial stresses and
extraordinary government interventions on behalf of other major financial institutions. This report examines
the basis for these concerns. Based on the data and analysis, we conclude that the organization of private
equity buyout funds and the nature and dimensions of their investments are fundamentally different from the
conditions which have produced our current systemic instability, and that the private equity sector does not
seem to present a systemic risk for U.S. capital markets or the economy.
Private equity funds play a distinctive role in U.S. financial markets and the economy by organizing and chan-
neling capital and skilled managers to acquire and operate firms based on their analysis of the returns those
firms could generate if new management brings about significant changes in those firms’ operations. Private
equity investors may buy struggling firms; they may purchase solid but unwanted divisions of conglomerates,
and they may acquire strong companies with significant growth potential. Regardless, their role contrasts
clearly wit.
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This document analyzes microcredit interest rates and their determinants from 2004-2011 using data from the Microfinance Information Exchange. It finds that globally, interest rates declined substantially through 2007 but then leveled off. This is partly due to operating costs, which declined long-term but rose in 2008 and 2011. It also examines the components that determine interest rates: cost of funds, loan losses, operating expenses, profits. It reports that average returns on equity and the percentage of loan payments going to profits have fallen significantly over this period.
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1. Financing decisions along a rm’s life-cycle: debt as a
commitment device
Julia Hirsch a*
Iberoamerican University Mexico City
Uwe Walz b*
Goethe University Frankfurt, CFS Frankfurt and ZEW Mannheim
October 2009
Abstract
We analyze the life-cycle patterns of a rm’s nancing decisions and their in-
teraction with future growth and development decisions. The framework derives
three di erent nancing sequences (debt-debt, equity-debt, equity-equity nancing)
which we link to existing empirical research. Furthermore, by adopting a life-cycle
approach we are able to go one step beyond existing empirical research and derive
testable hypotheses with respect to di erences in the nancing decisions of rms
due to project, rm, market and country characteristics as well as the impact of a
possible lack of start-up nancing possibilities on rm dynamics.
Keywords : nancing decisions, life-cycle, rm growth, path-dependencies
JEL classi cation : D92, G32
a
Address : I ber oamer i can U ni ver si ty M ex i co C i t y, P r ol ongaci on P aseo de l a R efor ma 880, M ex i co C i t y
´
01219, Mexico Tel : +52 55 5950 4000 Ext. 7351. Email : julia.hirsch@uia.mx.
b
G oet he U ni ver si ty F r ank fur t , P ost fach 54, G r unebur gpl at z 1, 60629 F r ank fur t , G er many. Tel : +49
¨
(0) 69 79834807. Email : uwalz@econ.uni-frankfurt.de
?
Financial support by the German Research Foundation (DFG) is gratefully acknowledged.
2. 1 Introduction
Entrepreneurial finance and corporate finance are often considered to be separate fields
dealing with different types of firms. Albeit much of the knowledge about entrepreneurial
firms comes from empirical evidence on already established firms. Furthermore, in both
fields, the pecking-order theory and the trade-off theory are used as the main candidates
for explaining the financing decisions of firms. In a recent paper, however, Robb and
Robinson [2009] using data on very young firms show that these two main theories do not
explain the data well. They reveal that, contrary to many accounts of start-up activity,
firms rely heavily on external debt sources such as bank financing and less extensively
on the financial resources of friends and family. Further empirical research suggests that
the observable capital structure of firms varies with the age of the firm and their stage
of development. Starting with Berger and Udell [1998] a number of studies illustrate the
importance of controlling for a firm’s life-cycle stage (see e.g. Cole [2008] and Bulan and
Yan [2009]). These studies acknowledge that financing choices evolve over time with the
firm’s changing characteristics but also stress the importance of the initial conditions and
prior financing decisions. Nevertheless, the huge literature on capital structure theory does
not take the life-cycle aspect into account. The main body of literature deals with static
approaches (see e.g. Tirole [2006]) for an extensive overview), with dynamic agency prob-
lems associated with a single financing decision (see e.g. Anderson and Nyborg [2001]) or
with dynamic convergence towards an optimal unique debt-equity ratio (see e.g. Clementi
and Hopenhayn [2006], Dangl and Zechner [2006] and Hennessy and Whited [2005]) while
leaving life-cycle issues aside.1
Our paper tries to narrow this gap by investigating the life-cycle patterns of a firm’s
financing decisions as well as their interaction with its future strategic decisions about
growth and development. Thereby, we aim to provide a link between entrepreneurial and
corporate finance. To be more precise, our main research questions are the following: What
are the drivers of different financing sequences across a firm’s life-cycle and how do they
relate to the firm’s development path? How may potential path dependencies, e.g. initial
debt financing, come about and how do they affect future financing in the expansion
phase as well as the firm’s expansion strategy? How do institutional restrictions in some
countries, e.g. the limited access to public equity, impact the firm’s development path as
well as its remaining financing decisions?
Our model set-up is rich enough to allow for three different financing sequences de-
1
Exceptions to the neglect of the life-cycle issue are recent papers by Fluck [2000], Titman and Tsy-
plakov [2006] as well as Sarkar [2007] who also consider path dependencies resulting from initial financing
choices. But while these paper allow for a sequence of financing decisions leading to varying optimal cap-
ital structures over the firm’s life time, they are silent on the consequences of this choices on the firms’s
future strategic expansion decisions.
1
Electronic copy available at: http://ssrn.com/abstract=1501153
3. pending on project, firm as well as market characteristics: debt financing at both the
development and the expansion stages, equity financing at both stages or equity financing
at the development stage with subsequent debt financing at the expansion stage. Thus,
it is able to provide an explanation for some of the patterns observed by recent empirical
studies on financing decisions in and across different stages of a firm’s life-cycle. Our model
predicts debt financing at both stages for firms which are realizing rather capital-intensive
projects or projects which require less specific investments. In this case, start-up debt fi-
nancing may serve as a commitment device to discontinue non-profitable excessively risky
projects. This case is in line with the evidence of Robb and Robinson [2009] about the
high importance of start-up debt financing. Equity-debt financing as observed in the study
by Byoun [2008] should rather be observed for widely held firms or in countries where the
entrepreneur suffers little from stigmatization costs due to failure in combination with
rather capital-intensive projects. On the contrary, for closely-held firms or firms in coun-
tries where the entrepreneur suffers strongly from stigmatization costs due to failure, in
combination with human-capital intensive projects, we predict equity financing at both
development stages. Both financing sequences are in line with Dang [2008] and Aghion
et al. [2004] who show that better growth opportunities and higher R&D investments are
more probable to be financed via equity.
Though, our model goes one step beyond the existing empirical evidence underlining
the strong interaction which exists between the financing decision taken at the start-up
stage and the subsequent financing as well as investment decisions. Indeed, we are able
to show that both equity as well as debt financing at the start-up stage take a crucial
role for the future development of firms. This is due to the fact that debt financing
can be used as a commitment device in order to discontinue too risky, non-profitable
projects. In contrast, equity financing at the start-up stage opens the possibility of debt
financing at the expansion stage without its restrictive consequences and thus induces
efficient continuation decisions. Furthermore, this approach of the interaction of financing
and investment decisions is particularly interesting as it highlights the impact of a lack
of start-up equity or debt financing respectively. Indeed, our model predicts that the
lack of both financing sources - depending on the specific project, firm as well as market
characteristics - may induce a slowdown in the firm dynamics.
In order to derive these results, we propose a dynamic model in which entrepreneurs
face a dynamic financing problem. They have to decide upon the financing of their firm
in the start-up as well as in the expansion phase. After the financing choice of the ex-
pansion stage, the precise nature of the development path of the firm is determined. The
entrepreneur has to decide whether a risky project path with high growth potentials or
a more secure, but less promising development path will be chosen. Risky projects are
2
4. liquidated if the cash-flows are not sufficient to satisfy external investors. Financing as
well as project choice decisions take place against the background of a trade-off between
the costs of equity and debt. In order to depict the specific nature of the life-cycle of the
firms and the associated different stages of development, we allow for costs of debt and
equity which differ among stages. The interplay of the relative disadvantages of both types
of external financing determines the choice of financing in our two-stage model. The costs
of debt consist of a commitment effect which is due to the fact that the debtor in the
start-up phase requires more tangibles. Hence, the debtor forces entrepreneurs to reduce
the risk profile of the firm. In addition, in both stages, we consider a classical risk-shifting
effect. Since financing the firm with debt leaves the entrepreneur with a more convex
payoff scheme, the incentives for risk taking are increased. Hence, the entrepreneur may
be inclined to choose too often the risky project. There is, however, a potential flip-side
of this effect in our model. As debt financing allows, in contrast to equity financing, the
termination of projects in bad states, debt may induce in case of firms with very high
leverage over-liquidation of projects: our risk-avoidance effect of debt. The costs of equity
arise from an overvaluation effect and from the fact that, in contrast to debt, minority
shareholders fail to have rights to liquidate the project. The overvaluation effect, caused
by initial equity financing, describes the distortion of the entrepreneur’s relative weight
of monetary and non-monetary payoffs increasing the incentives to continue projects too
often.
Our model is related to three strands of the literature. First, our analysis has to be seen
and contrasted with research which looks into empirical capital structure patterns against
the background of the pecking-order and trade-off theory. Second, we build on models
which analyze the costs and benefits of debt and equity financing and their impact on
the firm’s investment decisions in one-period models. Third, there exists a large literature
which highlights the relation which exists between subsequent financing decisions and firm
growth.
As concerns empirical evidence, we have to note that the majority of papers confronts
the pecking order theory with the trade-off theory when analyzing the capital structure
of small and medium-sized enterprises (SMEs). Cole [2008], for example, analyzes the
capital structure decisions of privately held companies in the United States and shows that
leverage is negatively related to firm size, age, profitability, liquidity and credit quality,
and positively to firm tangibility and limited liability. Thus, his results seem to speak more
in favor of the pecking-order theory than the trade-off theory. This result is confirmed by
a large number of studies about the capital structure of small and medium-sized firms
(see, for example, the evidence of Chittenden et al. [1996] for SMEs in the UK, Cassar
[2004] for SMEs in Australia, Sogorb Mira [2002] for SMEs in Spain, Bhaird and Lucey
3
5. [2006] for firms in Ireland or Klapper et al. [2006] for firms in Poland). However, it is not
clear whether these results hold independently of the type of firm. Frank and Goyal [2003],
for example, show that - contrary to the theory’s predictions - the pecking order theory
seems to work only well for large firms. Though, it is important to underline that none of
the mentioned studies analyzes the evolution of the firm’s capital structure across time.
When analyzing data of firms at different stages of their life-cycle, Bulan and Yan [2009]
show that the impact of certain classic determinants like, for example, profitability is not
monotonic across different stages of the firm’s life-cycle. This underlines the importance to
control for the development stage when making capital structure analysis. Nevertheless,
they are able to find supportive evidence for the pecking order theory for each of the two
stages they analyze.
The only empirical paper which analyzes to the best of our knowledge, the evolution
of the firm’s capital structure is Byoun [2008]. He shows that the evolution of the firm’s
capital structure is rather explained by financial flexibility concerns than by the pecking
order theory. He shows that developing firms use rather equity financing to maintain
financial flexibility, growth firms have high leverage ratios and mature firms rather use
internal financing.
As concerns the second strand of literature, by modelling the role of debt and equity
as well as the relation between financing and investment decisions, we borrow from exist-
ing mechanisms in the literature. Grossman and Hart [1982], for example, show that an
entrepreneur may prefer debt to equity financing in order to credibly commit to pursue
profits instead of perquisites afterwards. In the same spirit, Liu [2006] stresses that outside
financing may help to solve time inconsistency problems with respect to the entrepreneur’s
liquidation decisions. In addition, there exist some recent papers that underline the strong
relation that exists between financing and investment decisions. Chakraborty [2009], for
example, shows that in an asymmetric information framework about the firm’s quality,
it may be possible that debtholders limit the investment and thus the growth oppor-
tunities of the firm. Therefore, growth opportunities should rather be equity-financed.
Analogously, the model of Barclay et al. [2006] predicts a negative relation between book
leverage and growth opportunities. Though, in this last paper, the result is driven by
a trade-off between underinvestment costs and cash-flow benefits associated with addi-
tional debt financing. Anderson and Nyborg [2001] partially confirm these results in a
two-stage model of firm growth with a cash-diversion problem. However, contrary to the
first two papers, they show that while debt financing may reduce second-stage growth it
induces first-stage growth. Equity financing, on the contrary, induces second-stage growth
at the expense of first-stage growth. Finally, the paper of Boyer et al. [2005] combines to
a certain degree both of the mentioned aspects by pointing out the impact of financing
4
6. decisions on technological choice and the role of debt as a commitment device to a specific
technology afterwards. Finally, the idea of our framework about the ambiguity of debt
financing producing both risk-avoidance as well as risk-shifting is based on Almeida Brito
and John [2002] who, however, rely on a static model only.
Third, the idea of a relationship between financing decisions at different stages of the
firm’s development is not new. Indeed, there exists a vast literature on dynamic capi-
tal structure choices (see, for example, Mauer and Triantis [1994], Hennessy and Whited
[2005], Titman and Tsyplakov [2006] or Strebulaev [2006]) which mainly focuses on the
dynamic adjustment process of leverage across time. The early paper of Mauer and Tri-
antis [1994] analyzes the impact of production and financial flexibility on the interactions
between the firm’s investment and financing decisions. Hennessy and Whited [2005] show
the determinants of the current amount and type of financing of a firm anticipating future
financing needs under uncertainty. However, in the majority of these papers, the target
leverage ratio is fixed and thus, the position of the firm in its development process is
not important. Only recent papers have tried to allow changes in the target debt ratios
and analyze the determinants of these changes over time (see, for example, Titman and
Tsyplakov [2006]). Though, even in these models, the main focus still lies on the adjust-
ment processes rather than on the impact of the initial financing structure on the future
financing and investment decisions of the firm. Moreover, the types of decisions which are
taken are qualitatively the same at every stage and strategic expansion decisions of the
firm are not central.
The paper whose idea is most closely related to the present framework is the model
of Sarkar [2007]. He models the firm’s financing decision at the expansion stage in a real
option model taking into account the pre-expansion capital structure decisions. His ap-
proach is different from the aforementioned papers as he models the interactions between
financing and investment decisions due to over- and underinvestment problems associated
with debt financing. Notwithstanding, differently to our model, in his model, the time of
exercise of the growth opportunities drives the results due to the risk of bankruptcy.
The paper is organized as follows. In the next section, we outline the basic model.
Section 3 discusses the (dis)continuation decision against the background of different fi-
nancing sequences. In section 4, we investigate the project choice of the entrepreneur given
certain financing sequences. Section 5 deals with the financing choices at the expansion
stage. Section 6 looks into the determinants of the financing choices in the firm’s initial
start-up phase. In section 7, we address the implications of the lack of financing possibil-
ities due to institutional constraints. The main implications of our analysis are discussed
in section 8 where we also provide a number of testable hypotheses emerging from our
analysis. The last section concludes.
5
7. 2 The model
2.1 The basic framework
We develop a model which addresses the dynamic financing choice of an entrepreneur in
the start-up as well as in the subsequent expansion stage. Thereby, the financing choices
are interrelated with the entrepreneur’s choice of investment projects. The focus of our
model lies in potential dynamic aspects of initial financing choices in the start-up period,
i.e. the long-run implications of initial financing choices on expansion stage financing as
well as on project choices at later stages of the firm’s development.
The firm’s project can be either financed with debt or equity. Investments take place
in two tranches: I1 at the start-up phase and I2 at the expansion stage. Due to the fact
that I2 is initially unknown financing will take place in two steps as well. To carve out
the main mechanisms at hand as clearly as possible, we assume that there is no learning
between the two financing stages (except learning I2 ). In addition, there is no asymmetric
information between the investors and the entrepreneur: both are incompletely informed
with respect to the quality of the risky project to the same extent in both financing stages.
2.2 Projects
There are three projects: two risky ones and one with secure cash-flows. One of the risky
projects comes at very high risk. Hence, we refer to it as H-project (high risk). The
second project’s risk profile is lower, implying less risk but higher expected cash-flows
(project L). The third project, the safe one is referred to as project S. For each of the
risky projects there are two potential realizations: with probability 1 − τj (j = H, L, S)
the project is successful and the firm realizes cash-flows at the end of the start-up phase
(H) as well as expected profits Gj over the firm’s life time. We refer to these expected
cash-flows as growth options. To reflect the main properties of our projects, we assume
(1 − τH ) < (1 − τL ) < (1 − τS ) = 1 as well as GH > GL > GS . If the risky projects are not
successful in the start-up phase (this B-state occurs case with probability τj ) this does
not imply that the projects are unsuccessful altogether. There still exists a growth option
(GL and GH , respectively) which, however, pays out lower expected cash-flows than the
B B
growth options in the good state. Moreover, in the B-state, there are no cash-flows at the
end of the start-up phase in case of continuation of the project. Consequently, it might be
worthwhile for the entrepreneur or the investor to consider to discontinue the project in
this state. If the project is discontinued a liquidation value accrues in both projects (LH
and LL , with LH < LL ). However, liquidation also implies that the entrepreneur foregoes
his continuation payoff F . The order of total monetary expected profits of projects are as
follows: Eπ L > Eπ S > Eπ H with Eπ j = (1 − τj )(H + Gj ) + τj (Gj ) − I1 − I2 and I1 and I2
B
6
8. reflecting investment outlays in the start-up and expansion stages, respectively. That is,
whereas the L-project is the most profitable project, the H-project is the least profitable
one leading potentially even to negative expected profits. The safe project is in-between
these two risky projects.
After having completed the explorative phase, resulting in a new technology or new
products, the entrepreneur has to choose whether to stay on the innovative path (i.e.
developing indeed a new product and marketing this product aggressively) or to switch
to a more secure path. While the innovative path leads eventually to faster growth or
failure, the secure path is, for matters of simplicity, assumed to be completely without
risk. We model the financing and project choice decisions against the background of
incomplete but symmetric information with respect to the quality of the project. That
is, when deciding whether to stick to the risky project or revert to the safe project in
the expansion phase, the entrepreneur does not fully know the quality of his project. The
expected quality of the project is depicted by q which reflects the probability that the
H-project will emerge. With probability (1-q) the L-project will result if the entrepreneur
decides to stick with the risky project. This reflects the overall notion that the entrepreneur
starts and finances a risky venture. Moreover, the parameter q can be interpreted as a
measure of contractibility which may differ between industries and project types. The
easier predictable and contractible the future development is, the lower should be q.
2.3 Financing
In both stages, the entrepreneur can choose between a standard debt contract and an
equity contract. With the standard debt contract, the entrepreneur finances the respective
investment outlays Ii (i = 1, 2). In return, he faces the obligation to repay the debt at
the expiration date of the debt contract (i.e. in t = 5). We refer to these debt obligations
as D1 and D2 . With an equity contract, the investment outlays are financed via the issue
of shares. In return, investors receive a proportion of the total cash-flows of the firm
(α1 and α2 or (1 − α1 )α2 in stage 2 with equity financing in both stages respectively).
Whereas creditors do have only access to parts of the growth options in the B-state
(Gj ), shareholders get their respective shares of the full cash-flows originated by the
BK
growth options as well (see section 2.4 for details). Furthermore, none of the investors can
benefit from the non-monetary continuation payoff (F ) of the entrepreneur. In addition,
we assume that creditors in the first stage are only willing to finance the project if the
firm commits itself to a lower risk profile reducing the value of the growth option in the
B-state. This reflects the notion that debt financing in the first stage requires projects
with more tangible assets and less upside potential. For simplicity, we assume that only
the growth option of the L-project is reduced to GL (D) < GL .
B B
7
9. Whereas with debt contracts the firm is obliged to repay the face value of debt at
the end of the respective period, equity contracts have no definite endpoint. Hence, while
creditors can force the firm into bankruptcy and thus to discontinue the project, share-
holders do not have such a right as long as they do not have a majority of voting rights
or a put option, which we assume to be the case throughout the subsequent analysis.
2.4 Contractibility
We assume that only parts of the growth options in the B-state (GL and GH ) are
BK BK
contractible. This reflects the notion that the growth options are a short-cut of a stochastic
process which may lead to (very) high cash-flows throughout the life time of the firm
while it may also lead to low or even zero output in the opposite case. Since the cash-
flows accrue over the firm’s life, potentially long after the expansion phase has ended,
it is difficult to contract on them for claims which call for repayment at the end of the
expansion phase. Hence, the partial contractibility of the growth option delineates the
fact that debtholders hold a claim which expires at the end of this period. In contrast,
the shareholders’ claims are indefinite giving them the opportunity to participate in the
growth options proportionally to their claims in the firm. Theoretically, it would be feasible
to allow for debt-equity conversion at the end of the expansion phase. We assume, however,
that debtholders are, due to their higher time preference not willing to engage in such a
conversion. In addition, given that the cash-flows in the good state (H) suffice to cover the
claims of the creditors, the degree of contractibility of the growth option for debtholders
is not an issue in this case. Finally, in order to separate debt and equity claims as clearly
as possible, we do not allow for liquidation rights (such as put options) for shareholders.
2.5 Sequence of Decisions
The sequence of decisions is as follows. In the first step, the entrepreneur decides on
the mode of financing in the start-up phase. This decisions takes place given a common
belief of the entrepreneur and the investors about the quality of the risky project (q).
In a second step, the entrepreneur decides at the beginning of the expansion stage on
the second source of financing to acquire cash for the second investment period. At the
time of this second financing round, the entrepreneur cannot commit himself whether he
will stick to the risky expansion path or turning to the safe project, depicting here as a
shortcut a less risky expansion path. This project decision is undertaken in t = 3 by the
entrepreneur who still shares the belief about the quality of the risky project q with the
investors. After the project choice, in the case of the choice of the risky project, the state
of nature as well as the project type are revealed to all parties (t = 4). That is, investors
as well as the entrepreneur can, when having opted for the risky project, observe whether
8
10. the firm is a H or a L-project and whether the B-state or the good state has emerged.
Given this information, the entrepreneur or the creditors can decide to discontinue the
project in t = 5 of the game after the realization of a cash-flow H in the good state of
the projects. If the project is continued, the expected cash-flows related to the growth
options Gj can be anticipated at the end (in t = 6).
i
Figure 1: Time line
t=1 t=2 t=3 t=4 t=5 t=6
Entrepreneur H is realized
Entrepreneur chooses
chooses Project type in the good state.
j
financing mode Project choice Expected payoff (Gi )
financing mode and Continuation
in start-up phase: of entrepreneur. realized.
in expansion phase: state revealed. decision
D1 or α1 .
D2 or α2 . of E or creditors.
We solve in the following for the subgame perfect solution of our model.
3 Continuation decisions at the expansion stage
Before determining the continuation decisions taken by the entrepreneur and/or the cred-
itors, we will analyze the first-best efficient continuation decisions and state a couple of
assumptions which allow us to carve out our main mechanisms as clearly as possible.
Given our set-up, it is always worthwhile to continue both projects in the good state
(H > D1 + D2 ) while in the B-state, the two projects differ with respect to their optimal
(first-best) continuation decision. We assume that it is never optimal to discontinue the
L-project in the B-state, i.e. even the lowest continuation payoff (GL (D) + F ) is always
B
larger than the liquidation value LL :
(1) GL (D) + F > LL
B
In contrast, it is optimal to discontinue the H-project in the B-state:
(2) GH + F < LH
B
As concerns the actual continuation decisions, we have to take account of the fact
that shareholders cannot force the firm to repay a certain amount of cash at a given
moment in time. Hence, they cannot enforce the liquidation of neither project. With debt
financing, on the contrary, a payment is due at t = 5. We assume that the face value
9
11. resulting from debt financing at the start-up stage only, is low enough such that the
creditors can cover their repayment value in the B-state with the expected value of the
contractible part of the growth option, i.e. D1 < GH < GL (D). Although debtholders
BK BK
can threaten to discontinue the project at t = 5 in the B-state, the entrepreneur is able
to renegotiate the debt claim. We give, for matters of simplicity all bargaining power to
the entrepreneur. Thus, he can increase the face value of the debt claim such that the
expected value continues to be just D1 .
Hence, first-period debt is risk-free and will not be used to enforce the liquidation of
the projects. Therefore, with debt-equity financing, investors will not enforce liquidation
of neither project. Thus, in this case, the continuation decision hinges on the entrepreneur.
He will continue the L-project if the sum of the expected monetary and non-monetary
payoffs with continuation is higher than with liquidation. With debt financing in the first
period (and equity in the second) this difference amounts to:
(3) (1 − α2 )(GL (D) − D1 ) + F − (1 − α2 )(LL − D1 ) = (1 − α2 )(GL (D) − LL + F )
B B
Given our first-best assumption, this difference is always positive for the L-project, hence
leading to continuation of the L-project. For the H-project the entrepreneur will continue
the project if
(4) GH + F/(1 − α2 ) > LH
B
which we assume to be the case.
As concerns pure equity financing, we know that the continuation decision also depends
on the entrepreneur as shareholders are not able to force liquidation in the framework
of our model. However, given the previous assumptions, the entrepreneur will neither
discontinue any project in case of equity financing in both stages. This is due to the
fact that he has even more incentives to continue the projects in the case of pure equity
financing since the non-monetary returns play a relatively more pronounced role (F/((1 −
α1 )(1 − α2 )).
On the contrary, the creditors can and will potentially enforce liquidation with debt
financing in the second period. In order to stress both sides of debt, namely the potential
to break-up projects efficiently as well as excessively, we consider the following two cases.
First, we assume that debt financing in both stages leads to the liquidation of both
projects. This is the case if
(5) D1 + D2 > Lj > Gj (D)
BK
holds for both projects. Note that for the H-project GH (D) = GH whereas for the
BK BK
L-project GL (D) < GL .
BK BK
10
12. In contrast, with equity financing in the first and debt financing in the second stage,
we assume that this financing sequence leads to efficient continuation decisions. This also
means that start-up equity financing should be the preferable choice in our model and we
ask whether given this positive role, there is still room for debt financing in the first stage
to be superior to equity financing. In order to guarantee efficient continuation decisions
after equity-debt financing, the entrepreneur must be able to compensate the debtholder
in case of renegotiations in the B-state of the L-project (D2 < GL must hold) and,
BK
additionally, he must himself have an incentive to avoid liquidation, i.e.
(1 − α1 )(GL − D2 ) + F − (1 − α1 )(LL − D2 ) = (1 − α1 )(GL − LL ) + F > 0
B B
must hold. Given our assumptions as to the first-best continuation decisions, this condition
always holds.
In contrast, the H-project will not be continued if the debt claim D2 exceeds the
liquidation value of the H-project (LH ) which in turn is higher than the expected value
of the contractible part of the growth option:
(6) D2 > LH > GH
BK
In this case, which we assume to hold, debtholders receive LH by liquidating the project
and cannot be compensated in the course of renegotiating the debt contract.
The actual continuation decisions are summarized in the following table (C standing
for continuation and DC for liquidation)
Figure 2: Summary of continuation decisions
Debt in stage 1 Equity in stage 1
D in stage 2 E in stage 2 D in stage 2 E in stage 2
L-/H-project in G-state C C C C
L-project in B-state DC C C C
H-project in B-state DC C DC C
Furthermore, our assumptions regarding the relations of the different payoffs can be
summarized as follows:
(A1) GL > GL (D)
B B
(A2) GL (D) + F > LL > LH > GH + F
B B
(A3) H > D1 + D2 > LL > GL > GL (D) > GH > D1
BK BK BK
(A4) GL > D2 > LH > GH
BK BK
F
(A5) LH < GH +
B 1−α2
11
13. In addition, we assume that the financing choices and the thereby induced continua-
tion decisions do not alter the order of the E’s expected payoffs of the three projects. In
a nutshell this implies that any distortions caused by the financing choices are not strong
enough to alter the order of expected payoffs of the three projects. Though, this does
not mean that the project choice decision becomes irrelevant as E always compares the
safe project with the expected total payoffs of the risky projects and this relation changes
depending on the financing choices. More specifically, this implies that the following as-
sumptions hold:
(A6) (1 − τH )(H + GH ) + τH (LH − F ) < H + GS < (1 − τL )(H + GL ) + τL GL (D)
B
(A7) (1 − τH )(H + GH + F − D1 − D2 ) < (1 − τL )(H + GL + F − D1 − D2 )
(A8) (1 − τH )(H + GH + τH GH < (1 − τL )(H + GL ) + τL GL (D)
B B
F
(A9) (1 − τH )(H + GH − D2 ) − τH 1−α1 < (1 − τL )(H + GL ) + τL GL − D2
B
4 The choice between the risky projects and the safe
project at the expansion stage
At t = 4, the entrepreneur has the possibility to define his expansion strategy. In terms
of our model, this corresponds to the choice between the risky projects and the safe
project. Thereby, he anticipates the continuation decisions. As the continuation decisions
depend on the financing choices at both the start-up and the expansion stages, we have
to distinguish four cases.
Debt-debt financing. Given that the entrepreneur has chosen debt financing at the
start-up stage and the expansion stage (which we refer to as debt-debt financing, whereby
the first (second) expression describes the financing mode chosen at the start-up (expan-
sion) stage), he anticipates that both types of risky projects will be discontinued at t = 5 in
the B-state. Taking into account the debt claims of both stages (D1 and D2 , respectively),
the E’s expected profit from realizing the risky projects is given by
(7) q[(1 − τH )(H + GH − D1 − D2 + F )] + (1 − q)[(1 − τL )(H + GL − D1 − D2 + F )].
Note that with both types of risky projects, the liquidation gain in the B-state goes
completely to the investors. Moreover, E can only realize his private continuation profit F
in the successful states but not in the B-states because both projects will be discontinued.
When realizing the safe project, the E’s profit is given by
(8) H + GS − D1 − D2 + F.
12
14. Comparing the expected profit from realizing the risky projects with the profit from
realizing the safe project yields us the following critical value for the percentage of H-
projects in the economy for which E is just indifferent between the two options:
GL − GS − τL (H + GL − D1 − D2 )
(9) qD,D =
˜ .
(1 − τL )(H + GL + F − D1 − D2 ) − (1 − τH )(H + GH + F − D1 − D2 )
We will refer to this value as the critical quality of the risky project with pure debt
financing. If the actual quality is poorer (i.e. q is larger), then the entrepreneur will
choose the safe project because the expected profit of the risky projects decreases due to
a higher percentage of less valuable H-projects in the pool.
Analogously, we can now analyze the decision for the other three financing decisions.
Debt-equity financing. With debt financing at the start-up stage and equity financing
at the expansion stage, neither of the risky projects will be discontinued at t = 5. Taking
into account the debt claim D1 of the first stage and the equity claim α2 of the second
stage, E will opt for the safe project if
(10) (1 − α2 ){H + GS − D1 } ≥ (1 − α2 ){q[(1 − τH )(H + GH − D1 ) + τH (GH − D1 )]+
B
(1 − q)[(1 − τL )(H + GL − D1 ) + τL (GL (D) − D1 )]}.
B
Due to renegotiation in the B-state, E will be able to pay the total debt claim D1 inde-
pendently of the state of the project and the type of risky project. Moreover, the choice of
debt financing in the first stage comes with commitment costs which reduce the expected
value of the growth option of the L-project in the B-state from GL to GL (D). We get the
B B
following critical quality for the risky projects for which E is just indifferent between the
risky projects and the safe project:
GL − GS − τL (H + GL − GL (D))
B
(11) qD,E =
˜ .
(1 − τL )(H + GL ) + τL GL (D) − [(1 − τH )(H + GH ) + τH GH ]
B B
Equity-equity financing. If E has financed the project with pure equity (i.e. equity at
both the start-up and the expansion stages), then we can write the E’s decision as follows:
(12) (1 − α1 )(1 − α2 ){H + GS } ≥ (1 − α1 )(1 − α2 ){q[(1 − τH )(H + GH )] + τH GH
B
(1 − q)[(1 − τL )(H + GL ) + τL GL ]}.
B
With pure equity financing - just as in the case of debt-equity financing - neither of the
risky projects is discontinued in the B-state at t = 5. Again, we can write the critical
quality of the risky projects for which E is just indifferent between the two options as:
GL − GS − τL (H + GL − GL ) B
(13) qE,E =
˜ .
(1 − τL )(H + GL ) + τL GL − [(1 − τH )(H + GH ) + τH GH ]
B B
13
15. Equity-debt financing. Finally, if E has opted for equity at the start-up stage and
subsequently switched to debt financing at the expansion stage, his expected profit from
realizing the risky projects is given by:
(14) (1 − α1 ){q[(1 − τH )(H + GH − D2 )]+
(1 − q)[(1 − τL )(H + GL − D2 ) + τL (GL − D2 )]} + (1 − qτH )F.
B
In this case, only the H-project is discontinued in the B-state at t = 5 while the L-project
is continued. This implies further that E will loose his private continuation profit F in
this state whereas in all other states he can conserve it as the projects are continued.
The continuation profit is private and is thus not shared with the equity investor neither.
Finally, as D2 > LH , the whole liquidation gain of the H-project will go to the debtholders.
Comparing the expected profit of the risky projects with the profit of the safe project gives
us the following critical quality of the risky projects for which E is just indifferent between
the two options:
GL − GS − τL (H + GL − GL )
B
(15) qE,D =
˜ L ) + τ GL − [(1 − τ )(H + GH ) + τ (D − F
.
(1 − τL )(H + G L B H H 2 (1−α1 )
)]
As for all the critical values of q, E will choose the safe (risky) project if q is larger
(smaller). This is due to the fact that the expected value of the H-projects is always
smaller than the expected value of the L-projects (see assumptions A6-A9) and thus, the
total expected value of the risky projects decreases with an increase of the percentage of
H-projects.
5 The choice between debt and equity financing at
the expansion stage
The purpose of this section is to analyze the choice between debt and equity financing
at the expansion stage. Therefore, we will compare the final outcomes induced by both
financing options taking into account the subsequent project choice at t = 3 as well as
the continuation decisions at t = 5. The firm, already being in its expansion stage, takes
the financing decisions at the start-up phase as given.
5.1 Equity financing at the start-up stage
We will begin by analyzing the financing decision taking into account the existence of
equity investors with a share of α1 in the firm. Equity financing at the start-up stage
modifies the initial situation as it introduces an asymmetry between monetary and private
benefits at the expansion stage. E has to share all monetary returns of the project with the
14
16. equity investors of the first stage but not his private continuation profit F. Therefore, he
will value a loss of his private continuation profit relatively higher than an equivalent loss
in monetary returns. The size of the expected overvaluation of the private continuation
profit depends on the equity stake of the start-up stage investors α1 .
In order to be able to analyze the E’s optimal financing choice, we have to determine
the differences between debt and equity financing at the expansion stage. Therefore, in a
first step, we will compare the impact of debt and equity financing on the total expected
payoffs of the risky projects taking account of the continuation decisions at t = 5 which
are induced by each financing alternative. Whereas the L-project is always continued
independently of the form of financing at the expansion stage, debt financing implies the
liquidation of the H-project in the B-state and equity financing its continuation. Blinding
out the start-up stage, the continuation of the H-project produces an expected loss in the
total payoff of the risky projects of
(16) qτH [LH − GH − F ] = N T.
B
However, besides this non-termination effect (NT), we have to consider that the loss of
the private continuation profit caused by the liquidation of the H-project is overvalued
by the entrepreneur due to the initial equity stake α1 . This implies that E associates an
additional gain of
F
(17) qτH [ − F ] = OV
(1 − α1 )
to the continuation of the H-project relative to its liquidation. In what follows, we will
refer to this effect as the overvaluation effect (OV).
Furthermore, we have to take account of an additional effect of debt financing: the
risk-shifting effect. This effect arises because E takes the financing decision as given when
he makes his project choice at t = 3 and thus, his limited liability induces a gain with the
risky projects relative to the safe project which is given by
(18) qτH (D2 − LH ) = RS(E).
This gain increases the value of the risky projects relative to the safe project from an
ex-post point of view and thus, E will be more inclined to opt for the risky projects.
In addition, it turns out to be helpful to define the critical share, given liquidation of
the H-project, which makes E just indifferent between the risky and the safe project from
an ex ante point of view, i.e. with fairly priced claims for both the risky projects as well
as the safe project (see appendix A for a detailed derivation):
SB(T ) GL − GS − τL (H + GL − GL )
B
qE
˜ = L ) + τ GL − [(1 − τ )(H + GH ) + τ (LH − F
(1 − τL )(H + G L B H H (1−α1 )
)]
15
17. The interaction of these three mechanisms finally determines the financing choices at
the expansion stage. While the non-termination and the overvaluation effect determine
the financing choices via (dis)continuation of the H-project, the risk-shifting effect implies
a cost of debt financing which works through the project choice leading to a selection of
the risky project in too many cases. The following lemma (which we prove in appendix B)
sums up the optimal financing decisions in dependence of the interaction of the described
mechanisms:
Lemma 1 The optimal financing decision depends on the relative size of the OV, NT
and RS(E) effects. We can distinguish two main cases:
1. OV ≤ N T : E will always choose debt to finance the risky projects (i.e. for q ≤
SB(T ) SB(T )
qE
˜ ). For higher values of q (i.e. qE
˜ < q ≤ qE,D ), E will choose equity to
˜
induce the choice of the safe project. For q > qE,D , E is indifferent between debt and
˜
equity to finance the safe project which will be chosen independently of the financing
form.
2. OV > N T : E will always choose equity to finance the risky projects (i.e. for q ≤
qE,E ).
˜
a) N T ≥ OV −RS(E): E will choose equity to induce the choice of the safe project
for qE,E < q ≤ qE,D . For q > qE,D , E is indifferent between debt and equity
˜ ˜ ˜
to finance the safe project which will be chosen independently of the financing
form.
b) N T (E) < OV − RS(E): E is indifferent between debt and equity to finance the
safe project which he anticipates to choose at t = 3 for q > qE,E .
˜
The intuition behind this lemma is the following. The fact that equity financing of the
firm at the start-up phase leaves only the share (1 − α1 ) of all monetary payoffs with E
while he fully benefits from control benefits in case of the continuation of the H-project
may make it worthwhile for E to continue the H-project at the expansion stage. This is
the case if the non-termination effect (depicting the costs of continuing the H-project from
an overall point of view) is smaller than the overvaluation effect (depicting the relative
higher importance of non-monetary control benefits for E if the H-project is continued).
If, in turn, however, the NT effect is larger than the OV effect, it is optimal to discontinue
the H-project - even at the expansion stage (i.e. from what can be called a second best
alternative).
If the non-termination effect dominates the overvaluation effect (case 1 of lemma 1), E
has thus a preference for debt financing in order to induce the efficient liquidation of the
SB(T )
H-project. For q < (>)˜E
q , the risky (safe) project should be chosen. In the absence
of the risk-shifting effect, debt, which leads to a liquidation of the H-project, is optimal.
But due to the risk-shifting effect, debt leads too often to the choice of the risky projects.
16
18. SB(T )
Hence, the choice of equity in the expansion stage (for q ∈ (˜E
q , qE,D )) is nothing but
˜
a commitment to chose the safe project and to avoid risk-shifting.
If the overvaluation effect dominates the non-termination effect (case 2 of lemma 1),
it is optimal for E to go for the continuation of the H-project at the expansion stage.
In this case, equity is always superior to finance the risky projects (i.e. for q ≤ qE,E
˜
- the critical share with pure equity financing) in the expansion phase. Otherwise, the
safe project should be chosen and thus E should be indifferent between both financing
forms. Though, this is only the case if the risk shifting effect is weak (case 2b). If the
risk-shifting effect is strong, equity will be chosen once again to avoid the risk shifting
effect (for q ∈ (˜E,E , qE,D )). This is the case if the risk-shifting effect of debt is larger than
q ˜
the difference between the non-termination and the overvaluation effect implying smaller
expected cash-flows of the risky projects with debt financing.
5.2 Debt financing at the start-up stage
We now turn to the second scenario of financing decisions at the expansion stage by
taking into account the existence of a debtholder with a claim of D1 in the firm. Debt
financing at the start-up stage modifies the initial situation as it introduces a reduction
of the expected value of the L-project’s growth option in the B-state from GL to GL (D).
B B
This is due to the fact that the debtholder can force the entrepreneur to adjust his growth
strategy in order to reduce default risk. Apart from this commitment effect, debt differs
from equity financing at the start-up stage as with debt financing neither of the financing
options induces the efficient (first-best) continuation decisions of the risky projects in
t = 5. With equity (debt) both projects will be (dis-)continued.
In order to be able to analyze the E’s optimal financing choice, we have to determine
again the differences between debt and equity financing at the expansion stage. Therefore,
in a first step, we compare the impact of debt and equity financing on the expected total
payoffs of the risky projects. With equity financing, we are confronted with an inefficient
continuation of the H-project which reduces the expected total payoffs of the risky projects
by
(19) qτH (LH − GH − F ) = N T.
B
This non-termination effect is equivalent to the one arising with pure equity financing.
Debt financing, on the other hand, induces an inefficient liquidation of the L-project which
again reduces the expected total payoffs of the risky projects. This expected loss which
we name risk-avoidance effect is given by
(20) (1 − q)τL (GL (D) + F − LL ) = RA.
B
17
19. Both, the non-termination as well as the risk-avoidance effect, depend on the value of q,
i.e. the percentage of H-projects in the economy. But whereas the non-termination effect
increases in value with a higher share of H-projects, the opposite is true for the risk-
avoidance effect. This is rather obvious, given that the non-termination effect reflects the
inefficient continuation of H-projects while the risk-avoidance effect depicts the inefficient
liquidation of L-projects. Thus, there must exist a critical q (D) for which both effects are
ˆ
equal (see appendix C for a detailed derivation)
τL (GL (D) + F − LL )
B
(21) q (D) =
ˆ
τL (GL (D) + F − LL ) + τH (LH − GH − F )
B B
Furthermore, we have to take account of the additional risk-shifting effect of debt
financing. Just as in the case of equity financing at the start-up stage, this effect arises
because E takes the financing decision as given when he makes his project choice at t = 3
and thus, his limited liability in combination with the risky debt-claim induces a gain
with the risky projects relative to the safe project which is given by
(22) qτH (D1 + D2 − LH ) + (1 − q)τL (D1 + D2 − LL ) = RS(D).
In addition, it is helpful to compare the total expected payoff of the risky projects
with liquidation of both risky projects in the B-state (i.e. the expected payoff with pure
debt financing, neglecting the risk-shifting effect) with the total payoff of the safe project
(H + GS + F ). This comparison yields the critical value for debt financing (see appendix
D for a detailed derivation):
SB(T,T ) GL − GS − τL [H + GL − LL − F ]
(23) qD
˜ = .
(1 − τL )(H + GL ) + τL (LL − F ) − (1 − τH )(H + GH ) − τH (LH − F )
Note that since the claims of the expansion stage investor are fairly priced in both cases
and debt at the first stage is riskless, we are able to compare only expected total payoffs.
The optimal financing decisions at the expansion stage after debt financing at the
start-up stage finally depend on the relative impact of the non-termination effect (NT),
the risk-avoidance effect (RA) and the risk-shifting effect (RS(D)) and are summed up in
the following lemma which we prove in appendix E:
Lemma 2 As to the optimal financing decisions at the expansion stage after debt financ-
ing, we can distinguish the following two main cases:
SB(T,T )
1. N T ≥ RA for qD˜ : E will always choose equity financing for rather small values
SB(T,T )
of q (q < q (D)) and debt financing for q ∈ (ˆ(D); qD
ˆ q ˜ ) to finance the risky
SB(T,T )
projects. For qD
˜ ≤ q < qD,D , E uses equity financing in order to induce the
˜
choice of the safe project. Finally, for q ≥ qD,D , E is indifferent between debt and
˜
equity to finance the safe project.
18
20. SB(T,T )
2. N T < RA for qD ˜ : E will always choose equity financing in order to finance the
risky projects (i.e. q ≤ qD,E ).
˜
a) RA − RS(D) ≤ N T < RA for qD,E : E will choose equity to induce the choice
˜
of the safe project for qD,E < q ≤ qD,D . For q > qD,D , E is indifferent between
˜ ˜ ˜
debt and equity to finance the safe project which will be chosen independently
of the financing form.
b) N T < RA−RS(D) for qD,E : E is indifferent between debt and equity to finance
˜
the safe project for q > qD,E .
˜
The intuition behind this lemma can be best understood by realizing that the NT effect
depicts the cost of equity (namely the fact that with equity the H-project is inefficiently
continued), whereas the RA effect delineates a cost of debt financing (the L-project is
inefficiently discontinued with pure debt financing). While these two effects are related
to inefficient (dis-)continuation decisions, the risk-shifting effect of debt comes with the
inefficient project choice (leading, ceteris paribus, to too much risk-taking with pure debt).
Furthermore, it has to be noted that the relative weight of the NT and the RA effects
depends on the share of the H-project. The larger is q, the more important is the NT effect
compared to the RA effect since the former inefficiency comes with H-projects, while the
latter stems from the L-projects. Therefore, the choice of the financing mode crucially
depends on the relative importance of the RA and the NT effect with the critical share
SB(T,T )
of the H-project with pure debt financing excluding the risk-shifting effect, q = qD
˜ .
If the cost of equity financing (the NT effect) is larger than the one of debt financing
(the RA effect) at this point (lemma 2, case 1), then it pays to finance risky projects
for smaller q’s with equity and for larger q’s with debt. This is due to the fact that the
weight of the NT relative to the RA effect decreases with q and thus, equity financing
of risky projects dominates for sufficiently small values of q (q ≤ q (D)) while for q ∈
ˆ
SB(T,T )
(qD,E , qD
˜ ˜ ) debt financing is optimal. However, as debt financing induces the described
SB(T,T )
risk-shifting effect, equity financing will again be chosen for qD
˜ ≤ q < qD,D in order
˜
to commit to the choice of the safe project and thus avoid the risk-shifting effect.
If in contrast, the NT effect is smaller than the RA effect as in case 2 of the above
lemma 2, it is always optimal to finance the risky projects with equity. This implies, even
when excluding risk-shifting, higher costs of debt financing compared to equity financing
SB(T,T )
in the expansion stage; or more technically speaking qD
˜ < qD,E .
˜
If the risk-shifting effect is weak (case 2b), qD,D < qD,E , there is no need to use equity
˜ ˜
financing as a commitment device to choose the safe project. This is only the case with a
more pronounced risk-shifting effect (case 2a), leading to qD,D > qD,E and therefore the
˜ ˜
need to finance the safe project with equity for q ∈ (˜D,E , qD,D ). In all other cases, E is
q ˜
indifferent between debt and equity to finance the safe project.
19
21. 6 The choice between debt and equity financing at
the start-up stage
Finally, when looking on the E’s financing choice at the start-up stage, we have to dis-
tinguish four effects which determine the choice between debt and equity financing at the
first stage. These effects can be classified in two groups. First, the effects which define
the initial situation for E at the expansion stage: the overvaluation effect (OV) and the
commitment cost effect (CC). We can state both effects as the expected total loss implied
through the overvaluation of the private continuation gain in case of liquidation of the
H-project as well as through the adjustment of the expansion strategy, respectively as:
F
OV = qτH [ − F]
(1 − α1 )
CC = (1 − q)τL [GL − GL (D)]
B B
Whereas the OV effect depicts a cost of equity financing in the start-up stage (leading
potentially to excessive continuation of the H-project), the CC effect depicts a cost of debt
financing in the first stage. This commitment cost effect arises because the debtholders
of the start-up stage can force E to adjust his expansion strategy to reduce default risk
although this adjustment reduces the expected value of the L-project’s growth option in
the B-state.
Furthermore, we have to consider the effects which govern the financing choice at the
second stage: the risk-avoidance effect (RA) and the non-termination effect (NT).
RA = (1 − q)[GL (D) + F − LL ]
B
N T = q[LH − GH − F ]
B
Note that the risk-shifting effect is irrelevant for the financing choice at the start-up stage
as it does not manifest in equilibrium (see section 5).
In addition, it turns out to be helpful to define the critical value of q for which the
monetary costs of equity financing (NT effect) just equal the monetary costs of debt
financing (RA+CC effects) given by
τL (GL + F − LL )
B
(24) q=
ˆ
τL (GL + F − LL ) + τH (LH − GH − F )
B B
The financing decision at the start-up stage depends on the relatives magnitudes of
the described four effects.
We prove in appendix F:
Proposition 3 As to the optimal financing choice at the start-up stage, we can distin-
guish two main cases:
20
22. 1. If OV ≤ N T , E will always choose equity financing at the start-up stage for q ≤
SB(T )
qE
˜ .
SB(T,T ) SB(T )
a) If OV ≥ RA + CC for qD ˜ , then he will prefer debt financing for qE˜ <
SB(T,T ) SB(T,T )
q ≤ qD
˜ in order to induce the choice of the risky projects. For q > qD
˜ ,
E is indifferent between the financing forms anticipating that the safe project
will always be chosen.
SB(T,T )
b) Otherwise, if OV < RA+CC for qD ˜ , E is indifferent between the financing
SB(T )
forms anticipating that the safe project will always be chosen for q > qE˜ .
2. If OV > N T , the E’s financing choice at the start-up stage depends on the relative
magnitudes of the risk-avoidance effect, the non-termination effect as well as the
commitment cost effect.
SB(T,T )
a) If RA+CC < N T for qD ˜ , E will choose debt financing in order to commit
SB(T,T )
ex ante to realize the risky projects for q E,E < q ≤ qD
˜ ˜ . For q < q ≤ qE,E ,
ˆ ˜
E will choose debt financing in order to commit ex ante to discontinue the H-
project. Though, for q ≤ q , RA + CC ≥ N T , and thus E will choose start-up
ˆ
SB(T,T )
equity financing. Finally, for q > qD
˜ , E is indifferent between the financing
forms anticipating that the safe project will always be chosen.
SB(T,T )
b) If RA + CC ≥ N T for qD ˜ , E will always choose equity financing for q ≤
qE,E . For q > qE,E , he is indifferent between the financing forms anticipating
˜ ˜
that the safe project will always be chosen.
Before we discuss the intuition of this main proposition of the paper, it is important
to recall that our set-up is chosen such that equity financing in the first stage has an
important advantage: it may lead to the optimal continuation decisions if it is followed
by debt financing in the expansion stage (see table 2). This is exactly the implication of
case 1 of the above proposition. If the OV effect is smaller than the NT effect, then E
anticipates that equity financing in the first stage will not only lead to debt financing in
the expansion stage, but also to efficient continuation decisions. Hence, it is optimal to
SB(T )
choose equity in the first stage for q ≤ qE
˜ , foreseeing that this will lead to the choice
of the risky project.
However, if equity-debt financing will lead to the implementation of the safe project,
it may be optimal to avoid the implementation of the safe project by using debt financing
in the first stage. This is due to the fact that with equity in the first stage (and debt in
the second), a strong overvaluation effect makes the risky projects unattractive (hence,
leading to the inefficient choice of the safe project). However, for debt financing at the
start-up stage to be more attractive, the cost of debt (the risk avoidance effect and the
commitment costs) has to be rather small leading to the choice of the risky project with
pure debt financing (case 1a).
If the OV effect is larger than the NT effect, equity in the start-up stage will be followed
by equity financing in the expansion stage in order to finance the risky projects (see
21
23. lemma 1). Hence, the advantage of equity financing, namely to achieve efficient liquidation
decisions (via equity-debt financing) cannot be implemented. As debt-equity financing
induces the same continuation decisions as pure equity financing in our model but induces
additionally commitments costs, debt financing is only chosen at the start-up stage if E
prefers pure debt financing to pure equity financing. This is the case if the costs of debt
financing (RA and CC effects) are sufficiently small relative to the cost of equity financing
(NT effect). Here, E chooses debt financing to commit to realize the risky projects and
to discontinue the H-project in the B-state (case 2a). On the contrary, if these costs are
relatively large, equity financing in the first stage will be chosen to finance the risky
projects (case 2b).
To sum up, we can thus state that one of the main results of proposition 3 is that even if
equity allows the efficient continuation decisions to be implemented, the entrepreneur may
have an incentive to choose debt financing as a commitment device in order to discontinue
the H-project in the B-state.
7 The impact of the lack of financing possibilities
In this section, we will discuss the impact of financing constraints in the expansion as
well as the start-up stages. These constraints may result from institutional barriers and
limitations or from unfavorable market conditions. Thereby, we will distinguish three
cases. First, a particular country may be lacking a sufficiently developed venture capital
market implying that start-up firms have little or no access to start-up equity financing.
Second, we consider the case in which the banking sector may not be able to invest
in the start-up stage because it does not hold an adequate screening and monitoring
technology to finance these firms. Third, we will look at economies where the stock market
is not sufficiently developed and thus, firms do not have access to equity financing at
the expansion stage. In what follows, we will briefly discuss how this lack of financing
possibilities affects the outcome of the risky projects as well as the project choice decision.
7.1 Lack of access to start-up equity financing
The main source of external equity financing at the start-up stage is typically venture
capital given that young firms do not have access to organized capital markets. If the
venture capital market is, however, little developed, this source of financing is not avail-
able to firms. What are the consequences on financing choices, project choice and firm
dynamics?
Looking at lemma 2 and proposition 3 reveals the following. If the overvaluation effect
is smaller than the non-termination effect (case 1 of proposition 3), the expected payoff
22
24. of the risky projects is maximized with start-up equity financing. A lack of start-up
equity financing reduces the value of the risky projects due to inefficient continuation
decisions. In addition, the risky projects are realized less frequently compared to start-up
equity financing. Thus, a lack of start-up equity financing reduces the number of realized
innovations in an economy. If the overvaluation effect is pronounced (i.e. OV > N T ,
see case 2 of proposition 3), the negative impact of a lack of start-up equity financing
is smaller. This is due to the fact that E cannot commit to choose debt financing at
the expansion stage after equity financing at the start-up stage to induce the first-best
continuation decisions. Consequently, the only additional costs which may arise with start-
up debt financing are the commitment costs. Although these additional costs may reduce
both the expected payoff of the risky projects as well as the frequency of realization of the
risky projects per se, the effects are definitively smaller than in the first case. In addition,
they mainly manifest if pure debt financing is costly (case 2b of proposition 3). Thus,
whenever, the agency costs of equity financing are significantly lower than the ones of
debt financing, the impact of a lack of a venture capital market will be especially crucial
leading to less implementation of risky projects and thus fewer fast-growing firms.
7.2 Lack of access to start-up debt financing
Due to the lack of a proper monitoring and screening technology of banks, there may not
exist the possibility of start-up debt financing. Comparing lemma 1 and proposition 3
underlines that even though only start-up equity financing may implement the first-best
continuation decisions, a lack of start-up debt financing may also worsen the outcome.
This is due to the fact that the entrepreneur cannot resort anymore to start-up debt
financing as a commitment device to discontinue the H-project in the B-state nor to
realize the risky projects. Consequently, if the overvaluation effect is rather strong and
the costs of pure debt financing are rather small (case 2a of proposition 3), a lack of start-
up debt financing reduces the expected payoff of the risky projects and, in addition, the
risky projects are realized less frequently. Furthermore, even if E can commit to induce
the efficient continuation decisions, he also chooses the safe project relatively less often
with start-up equity financing if the costs of pure debt financing are rather small with
respect to the costs of start-up equity financing (see case 1a of proposition 3). Thus, a
lack of start-up debt financing may also reduce the innovation activity in an economy if
the financing costs associated to debt (RA and CC) are rather small in comparison to the
costs of equity financing (NT and OV).
Comparing both cases of lack of start-up financing shows that the costs of pure debt
financing relative to the costs of equity financing determine the magnitude of both effects.
If start-up debt financing is rather cheap with respect to start-up equity financing, then a
23
25. lack of start-up equity financing is less severe. However, in this case a lack of start-up debt
financing can be crucial. The reverse is true if start-up debt financing is rather expensive,
i.e. the RA and the CC effects are pronounced with respect to the NT and OV effect.
Furthermore, the impact of a lack of start-up financing depends on the quality of the risky
project: if its quality is rather high (i.e. q is rather low), a lack of start-up debt financing
may be less severe than with medium quality projects.
7.3 Lacking equity financing at the expansion stage – the case
of an underdeveloped stock market
Finally, we will analyze the situation where it is not possible to obtain equity financing at
the expansion stage. This is especially pronounced if the stock market is underdeveloped
or not accessible as a source of firm financing, due to market conditions. Indeed, we may
distinguish two situations. First of all, we consider the situation where expansion stage
equity financing is never available. In this case, the advantage of start-up equity financing
is reenforced because the commitment problem of E is indirectly solved. If E chooses
start-up equity financing, he automatically decides for expansion stage debt financing
(i.e. case 2 of proposition 3 does not exist) and thus the efficient (first-best) continuation
decisions of the risky projects. This means that the value of start-up debt financing as
a commitment device to discontinue the H-project in the B-state vanishes. As debt as
a commitment device was costly, the outcome now improves: the risky projects become
more profitable and are realized more frequently. Hence, we get a surprising result: limited
access to equity in the expansion stage leads firms to equity-finance their start-up stage
leading to more innovation and projects with high potential dynamics.
However, we also would like to consider the case in which only firms that have been
financed by private equity investors at the start-up stage will be able to receive financing
from such type of investors at the expansion stage, too. In this case, only firms which
choose debt financing at the start-up stage would be limited in their financing decision
at the expansion stage, i.e. the choice of start-up debt financing would always imply the
choice of debt financing at the expansion stage. Analyzing proposition 3 shows that while
this lack of expansion stage equity financing may have an influence on the financing choice
after start-up debt financing it does not have any impact on the overall financing decision.
This is due to the fact that start-up debt financing is only preferred to start-up equity
financing if the advantage of pure debt financing is pronounced as debt-equity financing
is always dominated by pure equity financing.
Thus, in our context, a lack of financing possibilities at the expansion stage has hardly
any effects and may even be positive. This is, however, also due to the fact that there is
no further financing decision to be taken afterwards in our model.
24
26. To sum up, we can state that it is the lack of financing possibilities at the start-up
stage which reduces the innovation activity in an economy - both with respect to the value
of the innovations as well as the realization of innovations. Interestingly, this is valid for
both equity and debt financing.
8 Empirical Implications
Having a closer look at proposition 3 shows that there are three different financing se-
quences for the risky projects in equilibrium: debt financing at both financing stages
(case 2a - OV > N T > RA + CC), equity financing at both financing stages (case 2b
- OV > N T and RA + CC > N T ), or equity financing at the start-up stage and debt
financing at the expansion stage (case 1 - OV < N T ). The importance of each of these
cases depends on the relative magnitude of the NT effect, the RA effect, the CC effect as
well as the OV effect. In what follows, we aim at operationalizing these effects in order to
be able to deduce testable hypothesis.
The overvaluation effect depends positively on the E’s private control benefits F as
well as the equity stake of the start-up stage α1 . Private control benefits should be lower
for so called professional entrepreneurs as well as in widely-held companies and higher
in closely-held firms like, for example, family firms. In addition, we interpret F as an
additional cost for E in case of liquidation, i.e. some sort of stigmatization cost. The start-
up equity stake depends on the need of the entrepreneur to demand outside capital to get
his project financed. The higher these dependence of outside financing, the higher should
be the overvaluation effect. Here, beside the financial endowment of E (i.e. the amount of
his savings or his access to money from family and friends), project characteristics seem to
be important: comprehensive, capital-intensive projects should increase the dependence
of outside financing and therefore the overvaluation effect.
The risk-avoidance effect as well as the non-termination effect crucially depend on the
difference between the values of the future growth opportunities and the liquidation values.
If liquidation values are high, then the risk-avoidance effect should be rather low whereas
the non-termination effect should be rather high. Growth opportunities act the opposite
way. Thus, better growth opportunities increase the risk-avoidance effect and decrease the
non-termination effect. We expect growth opportunities to be relatively more important
for technology-intensive projects whereas the liquidation value crucially depends on the
tangibility of assets. Therefore, human-capital intensive projects should be related to a
rather low liquidation value compared to capital-intensive project. Additionally, rather
specific investments in tangible assets should produce a lower liquidation value than more
general investments. Furthermore, the importance of growth opportunities also depends on
the industry approach. In industries with short technological cycles or with a strong first-
25
27. mover advantage, for example, growth opportunities should be less important. Besides,
both the RA as well as the NT effects also depend on the E’s private control benefits F .
In closely-held firms, the RA (NT) effect should be more (less) pronounced.
As concerns the commitment cost effect, it mainly depends on the behavior of the
banking sector. We expect that a low market power of banks leads to a lower commit-
ment cost effect because the banks are not able to include restrictive covenants due to
competition. In addition, if we conjecture that a more developed banking sector has access
to more sophisticated screening and monitoring technologies and thus has to rely less on
ex ante restrictions, the development stage of the banking sector will also influence the
commitment cost effect.
Finally, proposition 3 also shows that the choice of a specific financing sequence de-
pends on the percentage of H-projects in the respective industry (q). This is due to the
fact that the NT effect decreases with an increase in q while the RA effect increases. The
percentage of H projects in an economy can be interpreted as a parameter about the
quality and the perspectives of risky projects. Therefore, we conjecture that during boom
periods or in highly growing economies, q should be lower, i.e. the quality of risky projects
should be higher. The same should be true for industries for which a specific country has
comparative advantages.
Taking into account these different interpretations, we can state the following two
hypotheses which relate the three financing decisions to project and firm characteristics
as well as general conditions of the respective countries.
Hypothesis 1 We expect to observe different financing sequences depending on project
and firm characteristics.
• Debt financing at both development stages as well as equity financing at the start-
up stage and debt financing at the expansion stage should be more probable than
pure equity financing for firms that realize rather capital-intensive projects relying
on non-specific investments in tangible assets or operating in an industry with a
first-mover advantage.
• Equity financing at both development stages should be more probable than equity
financing at the start-up stage and debt-financing at the expansion stage for closely-
held firms.
Hypothesis 2 We further expect to observe different financing sequences depending on
the country in which the firm is located.
• In countries in which entrepreneurs heavily depend on outside financing, debt financ-
ing as well as equity financing at both development stages should be more probable
than equity-debt financing.
• In countries in which entrepreneurs suffer from rather high stigmatization costs due
to failure equity financing at both development stages should be more probable than
equity-debt financing.
26
28. • In countries in which the banking sector has a relatively high market power or is less
developed, debt financing at both development stages should be less probable than
pure equity financing.
• During boom periods, in highly growing economies or in industries where the specific
country has a comparative advantage, start-up equity financing should become more
probable than start-up debt financing.
It is also interesting to analyze the financing decisions of the expansion stage if the
institutional conditions of a specific country impose financing constraints at the start-up
stage. In section 7, we analyzed the impact of these constraints. Thereby, we have shown
that if debt financing is not available for start-up companies, the financing decision at the
expansion stage for risky projects depends on the relative size of the NT and OV effect
(lemma 1) whereas if equity financing is not available for start-up companies, it depends
on the relative size of the NT and the RA effect (lemma 2). In addition, we will also
consider the results of section 7 about the impact of a lack of start-up financing options
on firm dynamics, i.e. the project choice decisions between the risky and the safe projects
as well as the value of the risky projects.
Combining the results of section 7 with the above described and operationalized deter-
minants of the different effects and comparing them with hypotheses one and two allows
us to state the following two hypotheses:
Hypothesis 3 If the institutional conditions of a specific country restrict the availability
of financing alternatives at the start-up stage, we expect the following financing decisions
depending on general characteristics:
• Given a lack of start-up debt financing, equity financing at the expansion stage should
be more probable than debt financing in countries in which entrepreneurs heavily
depend on outside financing, i.e. do not have sufficient means and do not have
access to sufficient money from family or friends.
• Given a lack of start-up equity financing, equity financing at the expansion stage
should be more probable than debt financing during boom periods, in highly growing
economies or in industries where the specific country has a comparative advantage.
Hypothesis 4 We expect that the impact of a lack of start-up equity or start-up debt
financing on firm dynamics mainly depends on the following factors:
• A lack of start-up equity financing is especially harmful for firm dynamics in coun-
tries with a high proportion of widely held firms or firms with a low dependence on
external financing, in countries where the entrepreneurs suffer little from stigmati-
zation due to failure or in countries with underdeveloped banks or little competition
between banks.
• A lack of start-up debt financing, on the contrary, is especially harmful for firm
dynamics of firms which realize rather capital-intensive projects relying on non-
specific investments in tangible assets or operating in an industry with a first-mover
advantage combined with a high dependence on external financing.
27
29. 9 Conclusion
The objective of the present analysis is to investigate the financing and investment pat-
terns over a firm’s life cycle. Thereby, our objective was twofold: on the one hand, we
wanted to bridge entrepreneurial finance and corporate finance, on the other hand, we
aimed at analyzing the interaction of a firm’s financing and investment decisions over
its life cycle. By spelling out a dynamic model which rests on a few main mechanisms
depicting the costs of alternative financing modes, we are able to investigate the determi-
nants of alternative financing sequences which are actually in line with observed stylized
patterns. In addition, we provide testable hypotheses of the determinants of financing and
investment patterns. Thus, we establish a theoretical basis for the empirical analysis of a
firm’s financing pattern over its life time and across firms as well as countries.
Obviously, this is only a first step towards closing the research gap of the analysis
of a firm’s life cycle financing and investment decisions putting particular emphasis on
potential path dependencies and interaction across periods and decisions. Our analysis
abstracts from potentially important informational asymmetries across the firm’s life cy-
cle. Furthermore, by only considering external financing sources explicitly, we abstract
from the role of internal financial resources, most notably retained earnings. These are
definitively interesting starting points for further research.
28
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33. SB(T )
A Derivation of qE
˜
With equity-debt financing, the E’s project choice decision differs from the optimal choice
based on the comparison of the E’s expected total payoff from realizing the risky projects
with his total payoff of the safe project. Therefore, it is useful to compare his expected
total payoff from the risky projects with the safe project from an ex ante point of view, i.e.
with fairly priced financing claims for both the risky projects as well as the safe project:
(25) (1 − α1 ){q[(1 − τH )(H + GH ) + τH LH ]+
(1 − q)[(1 − τL )(H + GL ) + τL GL −]I2 } − qτH F > (1 − α1 )[H + GS − I2 ]
B
Note that we take further account of the initial equity stake α1 and the liquidation of the
H-project in the B-state induced by debt financing at the expansion stage. Solving for q
yields the critical value for the percentage of H-projects in the economy for which the two
options are equivalent:
SB(T ) GL − GS − τL (H + GL − GL )
B
(26) qE
˜ = L ) + τ GL − [(1 − τ )(H + GH ) + τ (LH − F
.
(1 − τL )(H + G L B H H (1−α1 )
)]
B Proof of Lemma 1:
In a first step, we compare the expected total payoff of the risky projects with equity-debt
financing as well as pure equity financing. In a second step, based on this comparison, we
will analyze the different cases of lemma 1.
The financing decision at the expansion stage induces specific continuation decisions
at t = 5 (see table 2) for the risky projects. If E chooses debt financing, the H-project will
be discontinued while the L-project will be continued in the B-state. Taking into account
the continuation decisions as well as the first stage equity claim, we can state the E’s
expected total profit from realizing the risky projects as
(27) (1 − α1 ){q[(1 − τH )(H + GH ) + τH LH ] + (1 − q)[(1 − τL )(H + GL ) + τL GL ]
B
− I2 } + (1 − qτH )F.
If E chooses equity financing, neither of the projects will be liquidated in the B-state. The
E’s expected total profit from realizing the risky projects is given by:
(28) (1 − α1 ){q[(1 − τH )(H + GH ) + τH GH ] + (1 − q)[(1 − τL )(H + GL ) + τL GL ] − I2 } + F.
B B
Comparing equations 27 and 28 shows that the E’s expected profit is larger with debt
financing than with equity financing if
F
(29) qτH [LH − GH −
B ]>0
(1 − α1 )
32