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.
Profitability Determinants of Go-Public Bank in Indonesia: Empirical Evidenc...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
The purpose of this research was to empirically investigate the effect of capital structure on financial sustainability
of deposit-taking micro finance institutions (DTMs) in Kenya. The specific objectives were to determine the impact
of debt on the financial sustainability of DTMs in Kenya, to assess the influence of retained earnings on the financial
sustainability of DTMs in Kenya, to examine the effect of ordinary share capital on the financial sustainability of
MFIs in Kenya, and to investigate the impact of preferred share capital on the financial sustainability of DTMs in
Kenya. The target population of the study was all the 13 DTMs in Kenya registered with the Central Bank of Kenya.
Secondary data was collected on all the DTMs financial data from the Central Bank of Kenya reports. Data was
analyzed using multiple regression model using SPSS and R as the data analysis tool. Based on the findings 76.9%
of the DTMs did not earn enough revenue to cover the actual financing direct costs, which include the total operating
costs, loan loss provisions and the financing costs but excluding the cost of capital. The analysis of variance
(ANOVA) table indicated that the predictor variables influenced the predictor variable significantly at 5%
significance level. Among the four variables; debt and retained earnings were statistically significant variable at 5%
significance level with 1.265 and 1.630 coefficient respectfully. Whereby the financial sustainability change by
1.265 and 1.630 for every unit change of debt or retained earnings respectfully. Therefore, for the deposit-taking
microfinance institutions to remain afloat in the lending business, they should utilize any borrowing opportunity,
plough back profits to the business, and low proportion of preferred share capital. Deposit-taking microfinance
institutions should avoid usage ordinary share capital as it negatively affected financial sustainability
Firm level determinants to small and medium sized enterprises’ access to fina...rrpidani
Firm Level Determinants to Small and Medium-Sized Enterprises’ Access to Financing in Indonesia by Rita Pidani and Ishak Balaka. Academy of Taiwan Business Management Review, April 2013, Volume 9, Number 1, pp. 117-126.
Profitability Determinants of Go-Public Bank in Indonesia: Empirical Evidenc...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
The purpose of this research was to empirically investigate the effect of capital structure on financial sustainability
of deposit-taking micro finance institutions (DTMs) in Kenya. The specific objectives were to determine the impact
of debt on the financial sustainability of DTMs in Kenya, to assess the influence of retained earnings on the financial
sustainability of DTMs in Kenya, to examine the effect of ordinary share capital on the financial sustainability of
MFIs in Kenya, and to investigate the impact of preferred share capital on the financial sustainability of DTMs in
Kenya. The target population of the study was all the 13 DTMs in Kenya registered with the Central Bank of Kenya.
Secondary data was collected on all the DTMs financial data from the Central Bank of Kenya reports. Data was
analyzed using multiple regression model using SPSS and R as the data analysis tool. Based on the findings 76.9%
of the DTMs did not earn enough revenue to cover the actual financing direct costs, which include the total operating
costs, loan loss provisions and the financing costs but excluding the cost of capital. The analysis of variance
(ANOVA) table indicated that the predictor variables influenced the predictor variable significantly at 5%
significance level. Among the four variables; debt and retained earnings were statistically significant variable at 5%
significance level with 1.265 and 1.630 coefficient respectfully. Whereby the financial sustainability change by
1.265 and 1.630 for every unit change of debt or retained earnings respectfully. Therefore, for the deposit-taking
microfinance institutions to remain afloat in the lending business, they should utilize any borrowing opportunity,
plough back profits to the business, and low proportion of preferred share capital. Deposit-taking microfinance
institutions should avoid usage ordinary share capital as it negatively affected financial sustainability
Firm level determinants to small and medium sized enterprises’ access to fina...rrpidani
Firm Level Determinants to Small and Medium-Sized Enterprises’ Access to Financing in Indonesia by Rita Pidani and Ishak Balaka. Academy of Taiwan Business Management Review, April 2013, Volume 9, Number 1, pp. 117-126.
Evaluating Loan Loss Provisioning for Non-Performing Loans and Its Impact on ...Fakir Tajul Islam
Using the aggregate data of 56 commercial banks in the last 9 years
(2009-2017), this study attempts to evaluate the Impacts of LLP maintained for NPLs on profitability, as it may help
to take the level of the LLP, and NPLs in the optimum level of business success.
VESTIGATION OF DYNAMIC INVOLVED IN DETERMINATION OF CAPITAL STRUCTURE OF KARU...IAEME Publication
An appropriate capital structure is a critical decision for any business organization to be taken
by business organization for maximization of shareholders wealth and sustained growth. The main
objectives this study was investigating the determinants of capital structure of the selected private
Bank in India. Thus, the major focus of this study was to investigate empirically firm specific factors
such as, Size, Tangibility, Profitability, Dividend Payout Ratio, Taxation, and Risk. In this study, only
secondary data was used. The data collected from the annual report published by the Bank.
SME Manufacturing Credit Risk Model Forecast Correctness and Result of ModelIOSR Journals
Thai SMEs employ about 69 percent of the total population. However, SMEs structure of short term financial characteristics as they depend mostly on short term loan. Thus, we have to be aware of financial distress of SMEs. This study utilizes a Logit analysis model to examine financial ratio of 385 SMEs financial statements. The result showed that those of 37 financially distressed and 348 non-financially distressed enterprises. This study conducted with 2 research questions which are (1) Are there significant differences in liquidity, leverage and profitability ratios of financially distressed and non-financially distressed Thai SMEs. (2) Is Logit model is a good model for measuring liquidity, profitability, and financial leverage classifies Thai financially distressed. The study has examined empirical evidence from Thailand manufacturing industries to identify differences between financial profiles of financially distressed and non-financially distressed SMEs. It then developed and tested the Logit analysis model for predicting SMEs financially distress. The first hypothesis is supported, which showed that there are statistically significant differences between financial ratios of financially distressed and non-financially distressed SMEs in Thailand. The second hypothesis showed that the predictable of financial ratios in the Logit analysis model enables classifying Thai financially distressed and non-financially distressed SMEs more accurately than a possible occasional classification. Finally, this study could help policy-makers, SMEs owners and business consultants to determine strategies in order to develop Thai SMEs manufacturing Industry sustainably. Moreover, the Logit model of this study could be applied in other industries in order to expand the growth of Thailand industries.
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The banking sector in India has come under the scanner following some key changes in monetary policy. With
the Reserve bank of India (RBI) raising interest rates to support the falling Indian currency the Rupee, the cost of
funds of banks has increased significantly. This could manifest itself in rising non-performing assets (NPAs) and
declining profitability. The profitability of banks is impacted by both internal and external factors. This paper is
an attempt to compare the key drivers of profits at India’s largest public and private sector banks. Bank specific
metrics and risk factors were important drivers of profits at both banks. Productivity measures were key drivers
of profits at India’s largest public sector bank SBI but had no effect on profits at India’s largest private sector
bank, HDFC bank. Asset usage efficiency measures were key determinants of profitability at HDFC bank but not
at SBI. The single most important determinant of SBI proved to be business per employee, a productivity
measure while advances and bank size which are traditional bank metrics were key drivers of profits at HDFC
bank. Managers at both banks and their share holders thus can look at these drivers to develop a broad
understanding of profitability at the two banks.
A Comparative Analysis of Capital Structure between Banking and Non-Banking F...iosrjce
This research aims to compare the capital structure of Bangladeshi banking and non-banking
financial institutions through some measurements. The annual financial statements of 10 commercial banks and
10 non-bank financial institutions were used for this study which covers a period of five (5) years from 2009-
2013. The study assesses the capital structure of the banking and non-banking sectors measured by total debt
to equity ratio (DER), total debt to total funds ratio and performance by ROE, ROA, EPS.Descriptive statistics,
t-test have been used to show the differences between banking and non-banking capital structure and
performance. However this study concludes that there is no significant difference between Bank and non-bank’s
EPS but there is a significant difference between Bank and non-bank’s D/A ratio and D/E ratio and ROA and
ROE.
Determinants of Banks’ Financial Performance: A Comparative Study between Nat...inventionjournals
Financial performance is one of the most critical factors having impact on the decision making of the resource providers. And thus to ensure the existence in the ever growing competitive business environment, every institution should be more concerned about the factors affecting their financial performance. This paper specially focuses on identifying the factors having impact on the financial performance of the commercial banks operating in Bangladesh. An effort has also been exerted to determine whether the extent of influence of various factors on financial performance varies with respect to local private and nationalized commercial banks. For this purpose 10 local private commercial banks (PCB) and all nationalized commercial banks (NCB) have been taken covering the period from 2008-2014. Here, data has been collected from the annual reports of the banks under consideration. To draw conclusion a multiple regression has been run by considering financial performance (profitability) as dependent variable and operating efficiency, asset utilization , liquidity, credit risk, capital adequacy and size of the company as independent variables. The study finds that asset utilization and operating efficiency have significant positive impact on banks' financial performance (profitability) whereas credit risk has significant negative impact. However, for PCBs asset utilization is the most critical factor to performance. On the other hand, result shows that in case of NCB 1 taka increase in credit risk is responsible for negative return of 0.968 taka. It is found that financial performance has no significant relationship with size and liquidity of the banks
Evaluating Loan Loss Provisioning for Non-Performing Loans and Its Impact on ...Fakir Tajul Islam
Using the aggregate data of 56 commercial banks in the last 9 years
(2009-2017), this study attempts to evaluate the Impacts of LLP maintained for NPLs on profitability, as it may help
to take the level of the LLP, and NPLs in the optimum level of business success.
VESTIGATION OF DYNAMIC INVOLVED IN DETERMINATION OF CAPITAL STRUCTURE OF KARU...IAEME Publication
An appropriate capital structure is a critical decision for any business organization to be taken
by business organization for maximization of shareholders wealth and sustained growth. The main
objectives this study was investigating the determinants of capital structure of the selected private
Bank in India. Thus, the major focus of this study was to investigate empirically firm specific factors
such as, Size, Tangibility, Profitability, Dividend Payout Ratio, Taxation, and Risk. In this study, only
secondary data was used. The data collected from the annual report published by the Bank.
SME Manufacturing Credit Risk Model Forecast Correctness and Result of ModelIOSR Journals
Thai SMEs employ about 69 percent of the total population. However, SMEs structure of short term financial characteristics as they depend mostly on short term loan. Thus, we have to be aware of financial distress of SMEs. This study utilizes a Logit analysis model to examine financial ratio of 385 SMEs financial statements. The result showed that those of 37 financially distressed and 348 non-financially distressed enterprises. This study conducted with 2 research questions which are (1) Are there significant differences in liquidity, leverage and profitability ratios of financially distressed and non-financially distressed Thai SMEs. (2) Is Logit model is a good model for measuring liquidity, profitability, and financial leverage classifies Thai financially distressed. The study has examined empirical evidence from Thailand manufacturing industries to identify differences between financial profiles of financially distressed and non-financially distressed SMEs. It then developed and tested the Logit analysis model for predicting SMEs financially distress. The first hypothesis is supported, which showed that there are statistically significant differences between financial ratios of financially distressed and non-financially distressed SMEs in Thailand. The second hypothesis showed that the predictable of financial ratios in the Logit analysis model enables classifying Thai financially distressed and non-financially distressed SMEs more accurately than a possible occasional classification. Finally, this study could help policy-makers, SMEs owners and business consultants to determine strategies in order to develop Thai SMEs manufacturing Industry sustainably. Moreover, the Logit model of this study could be applied in other industries in order to expand the growth of Thailand industries.
A Comparison of Key Determinants on Profitability of India’s Largest Public a...Rajveer Rawlin
The banking sector in India has come under the scanner following some key changes in monetary policy. With
the Reserve bank of India (RBI) raising interest rates to support the falling Indian currency the Rupee, the cost of
funds of banks has increased significantly. This could manifest itself in rising non-performing assets (NPAs) and
declining profitability. The profitability of banks is impacted by both internal and external factors. This paper is
an attempt to compare the key drivers of profits at India’s largest public and private sector banks. Bank specific
metrics and risk factors were important drivers of profits at both banks. Productivity measures were key drivers
of profits at India’s largest public sector bank SBI but had no effect on profits at India’s largest private sector
bank, HDFC bank. Asset usage efficiency measures were key determinants of profitability at HDFC bank but not
at SBI. The single most important determinant of SBI proved to be business per employee, a productivity
measure while advances and bank size which are traditional bank metrics were key drivers of profits at HDFC
bank. Managers at both banks and their share holders thus can look at these drivers to develop a broad
understanding of profitability at the two banks.
A Comparative Analysis of Capital Structure between Banking and Non-Banking F...iosrjce
This research aims to compare the capital structure of Bangladeshi banking and non-banking
financial institutions through some measurements. The annual financial statements of 10 commercial banks and
10 non-bank financial institutions were used for this study which covers a period of five (5) years from 2009-
2013. The study assesses the capital structure of the banking and non-banking sectors measured by total debt
to equity ratio (DER), total debt to total funds ratio and performance by ROE, ROA, EPS.Descriptive statistics,
t-test have been used to show the differences between banking and non-banking capital structure and
performance. However this study concludes that there is no significant difference between Bank and non-bank’s
EPS but there is a significant difference between Bank and non-bank’s D/A ratio and D/E ratio and ROA and
ROE.
Determinants of Banks’ Financial Performance: A Comparative Study between Nat...inventionjournals
Financial performance is one of the most critical factors having impact on the decision making of the resource providers. And thus to ensure the existence in the ever growing competitive business environment, every institution should be more concerned about the factors affecting their financial performance. This paper specially focuses on identifying the factors having impact on the financial performance of the commercial banks operating in Bangladesh. An effort has also been exerted to determine whether the extent of influence of various factors on financial performance varies with respect to local private and nationalized commercial banks. For this purpose 10 local private commercial banks (PCB) and all nationalized commercial banks (NCB) have been taken covering the period from 2008-2014. Here, data has been collected from the annual reports of the banks under consideration. To draw conclusion a multiple regression has been run by considering financial performance (profitability) as dependent variable and operating efficiency, asset utilization , liquidity, credit risk, capital adequacy and size of the company as independent variables. The study finds that asset utilization and operating efficiency have significant positive impact on banks' financial performance (profitability) whereas credit risk has significant negative impact. However, for PCBs asset utilization is the most critical factor to performance. On the other hand, result shows that in case of NCB 1 taka increase in credit risk is responsible for negative return of 0.968 taka. It is found that financial performance has no significant relationship with size and liquidity of the banks
RETURN ON EQUITY (ROE) AS MEDIATION OF BANK'S CAPITAL ADEQUATION RATIO (CAR)indexPub
Banks need to maintain their performance and the level of Capital Adequasi Ratio (CAR). This study wants to see the variables that affect the Capital Adequasi Ratio (CAR) and see ROE as a variable that mediates the Capital Adequasi Ratio (CAR) at Bank Rakyat Indonesia (BRI). The research method used multiple regression analysis, t-test, Anova test and Coefficient of Determination and the research period for 14 years from 2009 to 2022, by using SPSS Software version 26. The conclusion of the study, only the BOPO variable has a significant effect on the Capital Adequasi Ratio (CAR) and the ROE variable as a variable that can mediate the CAR variable at Bank Rakyat Indonesia (BRI). Keywords: Capital Adequasi Ratio, Bank Financial Ratio.
DETERMINANTS OF BANK-SPECIFIC AND MACROECONOMIC FACTORS THAT ARE AFFECTING T...Uni-assignment
DETERMINANTS OF BANK-SPECIFIC AND MACROECONOMIC FACTORS THAT ARE AFFECTING THE PROFITABILITY OF COMMERCIAL BANKS A STUDY ON THE BRIC FROM THE EMERGING MARKET
Proposed topic of the res an emperical analysis on interest rate risk managem...tesfatsion tefera
Risk is defined as anything that can create hindrances in the way of achievement of certain objectives. It can be because of either internal factors or external factors, depending upon the type of risk that exists within a particular situation. Exposure to that risk can make a situation more critical. A better way to deal with such a situation; is to take certain proactive measures to identify any kind of risk that can result in undesirable outcomes. In simple terms, it can be said that managing a risk in advance is far better than waiting for its occurrence. Risk Management is a measure that is used for identifying, analyzing and then responding to a particular risk. It is a process that is continuous in nature and a helpful tool in decision making process. According to the Higher Education Funding Council for England (HEFCE), Risk Management is not just used for ensuring the reduction of the probability of bad happenings but it also covers the increase in likeliness of occurring good things. A model called “Prospect Theory” states that a person is more likely to take on the risk than to suffer a sure loss.
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
Volume of Deposits, A determinant of Total Long-term Loans Advanced by Commer...iosrjce
Commercial banks have exponentially increased their total loans advanced over the period 2002-
2013. However commercial banks in Kenya have shown varying long term lending behavior. The main objective
of this study was to establish the effect of determinants of long term lending in the Kenyan banking industry, a
case of Bungoma County. This study was guided by the following specific objective; to determine the effect of
volume of deposit on total loan advanced, of selected commercial banks in Kenya. The target population
comprised 13 commercial banks in Bungoma County with a sample size of 52 respondents. From the findings,
for every unit increase in volume of deposits, a 10.9%, unit increase in total loans advanced is predicted. The
model hypothesizes that there is functional relationship between the dependent variable and the independent
variable. The study then recommends that commercial banks should focus on mobilizing more deposits as this
will enhance their lending performance.
IMPACT ON INDIAN BANKS’ PROFITABILITY INDICATORS – AN EMPIRICAL STUDYIAEME Publication
The Indian banking system consists of 26 public sector banks, 20 private sector banks, 43 foreign banks, 56 regional rural banks, 1,589 urban cooperative banks and 93,550 rural cooperative banks, in addition to cooperative credit institutions. The Indian banking sector’s assets reached US$ 1.8 trillion in FY14 from US$ 1.3 trillion in FY10, with 70 per cent of it being accounted by the public sector. Indian banks are increasingly focusing on adopting integrated approach to risk management. Banks have already embraced the international banking supervision accord of Basel II. According to RBI, majority of the banks already meet capital requirements of Basel III, which has a deadline of March 31, 2019. Most of the banks have put in place the framework for asset-liability match, credit and derivatives risk management.
Effect of Cash Management on The Financial Performance of Cooperative Banks i...IJRTEMJOURNAL
This paper analyses the effect of cash management on the financial performance of cooperatives
banks in Rwanda. A descriptive research design was used. The population comprised of 148 employees of ZIGMA
CSS from which a sample of 108 employees was determined using Solvirn and Yemen’s formula. Data was
collected from both primary and secondary sources using questionnaires and document analysis. Data was
presented using frequency tables from which analysis was made. A multi regression analysis was used to analyse
relationship between the variables. The results from the survey revealed that ZIGMA CSS uses various cash
management techniques in the cash management. The results further revealed a strong relationship between cash
management and financial performance of ZIGMA CSS. The study concludes that cash management is a key tool
in the financial management of the banks since cash forms the biggest asset of the bank. Cooperatives banks
should ensure that they develop policies in effective cash management.
Effect of Cash Management on The Financial Performance of Cooperative Banks i...journal ijrtem
This paper analyses the effect of cash management on the financial performance of cooperatives
banks in Rwanda. A descriptive research design was used. The population comprised of 148 employees of ZIGMA
CSS from which a sample of 108 employees was determined using Solvirn and Yemen’s formula. Data was
collected from both primary and secondary sources using questionnaires and document analysis. Data was
presented using frequency tables from which analysis was made. A multi regression analysis was used to analyse
relationship between the variables. The results from the survey revealed that ZIGMA CSS uses various cash
management techniques in the cash management. The results further revealed a strong relationship between cash
management and financial performance of ZIGMA CSS. The study concludes that cash management is a key tool
in the financial management of the banks since cash forms the biggest asset of the bank. Cooperatives banks
should ensure that they develop policies in effective cash management.
The aim of this paper is to examine the impact of bank minimum capital requirement on credit supply in Ivory Coast, over the period from 1982 to 2016. To this end, the ARDL method was used to study the nature of the relationship between our explanatory variables and bank credit supply in Ivory Coast. The study indicates some major results. The results showed that in the short term, real GDP per capita and bank size influence credit supply in Ivory Coast. Real GDP per capita acts negatively on credit supply in the short run while bank size has a positive influence on banks’ capacity to finance the economy. In the long run, the Cooke ratio and the openness rate have an impact on bank credit supply in Ivory Coast. The recovery of bank minimum capital requirements positively influences bank credit supply while the openness of the economy negatively impacts banks’ ability to offer bank credit. In terms of economic policies implications, monetary authorities must enforce and respect the policy of increasing bank minimum capital requirements. They must encourage banks to increase their banking assets.
Lesson 6 Discussion Forum Discussion assignments will beDioneWang844
Lesson 6 Discussion Forum :
Discussion assignments will be graded based upon the criteria and rubric specified in the Syllabus.
550 Words
For this Discussion Question, complete the following.
1. Review the two articles about bank failures and bank diversification that are found below this. Economic history assures us that the health of the banking industry is directly related to the health of the economy. Moreover, recessions, when combined with banking crisis, will result in longer and deeper recessions versus recessions that do occur with a healthy banking industry.
2. Locate two JOURNAL articles which discuss this topic further. You need to focus on the Abstract, Introduction, Results, and Conclusion. For our purposes, you are not expected to fully understand the Data and Methodology.
3. Summarize these journal articles. Please use your own words. No copy-and-paste. Cite your sources.
Please post (in APA format) your article citation.
Reply to Post 1: 160 words and Reference
Discussion on Bank’s failures and its diversification
Over the last two decades, business cycle volatility has decreased in the US. For example, some analysts claimed that companies handle inventory better today than ever, or that advances in financial systems have helped smooth industry volatility. Some emphasized stronger economic policy. Banking changes were also drastic in this same era, contributing to the restructuring and convergence of massive, global banking institutions in a better-organized structure. The article (Strahan, 2006) points out that some regulatory reform driven by individual countries rendered it possible for banks to preserve their resources and income by gradually diversifying from local downturns. Both low state volatility rates and a decline in partnerships between the local market and the central banking sector is a net influence on the diversification in banks. Considering the less fragile state economies following these intergovernmental financial reforms, there are some signs that financial convergence – while certainly not the only piece of the puzzle – has been less unpredictable.
Another article (Walter, 2005) argues that a long-standing reason for bank collapses during the crisis is a contagion, which contributes to systemic bank failures and the collapse of one bank initially. This indicates why several losses in the crisis period were unintentional, which ensured that the banks remained stable and endured without contagion-induced falls. The response to the contagion was the central government’s deposit policy, bringing an end to defaults. Nevertheless, since the sequence of errors began in the early 1920s, well before contagion was evident, the underlying trigger must be contagion.
Now it seems like the bank sector has undergone a shake-out that was worsened during the crisis by the deteriorating economic conditions. Although the reality that incidents occurred almost syno ...
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International Journal of Business and Management Invention (IJBMI)
1. International Journal of Business and Management Invention
ISSN (Online): 2319 – 8028, ISSN (Print): 2319 – 801X
www.ijbmi.org Volume 3 Issue 1ǁ January. 2014ǁ PP.30-43
Banking Regulation Role as Moderation the Effect of Risk
Management on Capital Structure Decisions
(Study at People Credit Bank in North Sulawesi and Gorontalo
Provinces)
Ramon Arthur Ferry Tumiwa1, Made Sudarma2, Ubud Salim3, Djumahir4
1
(Management Sciences Doctoral Program of Economics and Business Faculty of Brawijaya University,
Indonesia)
2,3,4
(Economics and Business Faculty of Brawijaya University, Indonesia)
1
(Economics Faculty of Manado University, Indonesia)
ABSTRACT : This study purposes are : (i) examining and explaining effect of risk management on capital
structure decisions, (ii) examining and explaining effect of banking regulations on capital structure decisions,
and (iii) examining and explaining banking regulation role in moderating effect of risk management on capital
structure decisions. This study was conducted at People Credit Bank (PCB) in North Sulawesi and Gorontalo
Provinces at 2011. Population are 20 banks that determined by population criteria. Analysis method used is
Generalized Structural Component Analysis (GSCA). This study result found that risk management practice is a
key determinant of capital structure decisions. Adherence to banking regulations determines capital structure
decisions. Research findings show that compliance with banking regulations did not moderate risk management
role in determining capital structure decisions.
KEYWORDS : Banking Regulation, Risk Management, Capital Structure Decisions
I.
INTRODUCTION
Banks capital not only contributes to fund business but also has other important roles. Allen and
Santomero (1999) stated that bank capital is protective security. It provides protection to shareholders and
depositors against temporary loss or unexpected loss. Capital can serve as a tool used by bank to provide a
signal to public about their financial profitability, and could also become a good consideration for competitors,
customers, and agency as a proxy of strength or health. It is an indication of shareholder value (Jorion, 2000).
Bank's capital existence has strategic aspects related to operational sustainability, profitability and bank safety
net toward risk taking. Relationship between capital and risk adjustments depend on bank retained capital
exceeds minimum capital reserves (Cai and Wheale, 2009).Strategic role of bank capital in banking business
especially relates to specific characteristics of banking business. Hasan (1997) stated that banks borrow money
to make money. Banks and other financial institutions is a specialized business where capital structure is
influenced by a number unique conditions to banking business, such as government regulation and access to
government safety net which includes insured deposits and loans (Kwan, 2009). At same time, bank is a
company, financial intermediaries, and regulated entity. Incentive regulation that imposed by rule determines a
unique interaction between banks capital and their behavior (Marques and Santos, 2004). In addition, bank's
operations are based on precautionary principle. Banks as financial intermediaries operationally borrow funds
from one agency and then lend again to other agents. Consequently, banking institutions tend to have higher
debt levels due to security and its intermediary function (Boyd and Presscott, 1986). Banking institutions also
must operate under strict regulations environmental that differ even among different banks. Minimum capital
adequacy ratio is one important tool for regulators to maintain stability of financial system.
Capital structure relates to company value and profitability. Therefore, it is important for banks to
determine about optimal capital structure. Bank management should determine capital structure policy in
supporting bank operations, particularly in lending. Funds allocation to bank loans also require large financing
in order not interfere bank 's liquidity. Each credit expansion plan should be supported by additional capital so
that credit expansion has no effect on bank's capital adequacy ratio. This case shows that determination of bank's
capital structure policy is very important for bank management. Capital structure policy is a policy concerning
the optimal combination to use various sources of funds that will be used to finance an investment and also to
support company's operations in effort to boost corporate profits in order to achieve a high company value
(Gitman, 2009).
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30 | Page
2. Banking Regulation Role As Moderation The Effect…
Main source of theoretical and empirical research on capital structure are many phenomena testing in
United States (Marques and Santos, 2004). It implies that studies findings on capital structure difficult to be
generalized in other countries, where generally have different economic, financial, and institutional. Information
and operating efficiency, and liquidity is a feature of financial markets play important role to determine
combination of corporate finance (Demirguc - Kunt and Maksimovic, 1996). Therefore, more research is needed
to test capital structure strength for predictive ability.Further studies about capital structure hypothesis are
needed to improve the prediction robustness (Rajan and Zingales, 1995; Harris and Raviv, 1990) that still being
debated about empirical testing the capital structure in different environments, such as country, time and
industry. The investigation may help to better understand implications of environmental and behavioral factors
on capital structure decisions. It could have contribution to expand explanatory power and predictions of
existing theories.Motivated from statements and study findings above, this study aims to examine and explain
effect of risk management and banking regulations on bank capital structure decisions, especially People Credit
Bank in North Sulawesi and Gorontalo provinces.People Credit Bank is chosen because the uniqueness. People
Credit Bank is a commercial bank as usual, but People Credit Bank have specificities to serve communities
needs in rural areas and small micro enterprises in form of deposits (savings and deposits) and credit. There are
some differences between People Credit Bank with commercial banks, namely: People Credit Banks have
capital just under Rp. 100 billion, the product only savings and deposits, People Credit Bank can not issue
checks and giro as commercial banks, People Credit Bank can not commit the transaction clearing, People
Credit Bank operational area is limited only within scope of province, and most of People Credit Bank business
is a family business.
There are a number of problems that must be faced by People Credit Bank in their business, especially
in face increasingly fierce competition today, namely: limited capital held that determination of capital structure
decisions is critical to get attention, high risk, as well as adherence to banking regulations that limit the
movement of bank leadership in carrying out its operations.
Table 1. Development of People Credit Bank in North Sulawesi Province and Gorontalo
PCB NUMBER
YEAR
2006
2007
2008
2009
2010
2011
North
Sulawes
i
Gorontal
o
18
16
17
13
16
17
7
4
4
4
4
4
TOTAL
PCB
25
20
21
17
20
21
TOTA
L
ASSE
T
(Rp.
Billion
)
137
170,6
205,2
241,1
402,0
651,7
Third
Party
Fund
(Rp.
Billion)
Credit
(Rp.
Billion)
LDR
(%)
NPL
(%)
CAPITAL
STRUCTUR
E
(%)
97
125,9
144,0
170,9
281,8
439,5
106
130,8
156,9
202,7
288,3
455,8
90,92
103,9
109,0
118,6
102,3
103,7
4,45
3,4
3,3
2,9
4,24
3,92
70,80
73,80
70,17
70,88
70,10
67,44
Sources : Bank Indonesia Manado (2011)
People Credit Bank Performance in North Sulawesi and Gorontalo Provinces during years 2006 - 2011
generally increased from year to year. It reflected by increase of total assets, third party funding (TPF), and
amount of credit in banking system, higher Loan to Deposit Ratio (LDR), and a decrease in ratio of nonperforming loans (NPLs). Table 1 shows good intermediation PCB from year to year. It reflected by LDR is
above 100 % from years 2007 to 2011. This condition is a positive, because it shows the tremendous potential in
North Sulawesi province and Gorontalo. It is proven by the amount of investment at North Sulawesi province
and Gorontalo with LDR ratio tend quite high. However, LDR tendency value that exceeding 100 % indicates a
high risk of PCB to meet short-term liabilities (liquidity). LDR above 100 % indicates high risk banks in
liquidity problems (Sunarsip and Salamun, 2003). As a result, bank makes policies to use assets source to cover
outstanding loans to third parties. Assets usage to meet ongoing lending can lead PCB difficult to meet the
minimum capital adequacy ratio.However, an increase in assets, deposits and loans in PCB was not followed by
an increase in capital structure. This is due to PCB must comply with regulations from Bank Indonesia,
obligation to provide a minimum capital. In addition, People Credit Bank lacks capital so that some PCB are
required to merge with others. Merger is used by shareholders in attempt to strengthen PCB capital position. As
a result, number of People Credit Bank not increased.
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3. Banking Regulation Role As Moderation The Effect…
Previous studies have attempted to examine the theory of capital structure in banking industry, but so
far most of these studies take an object of large banks that have been registered in capital markets, especially
banks that listed in United States and Europe. Still rare to find research conducted at banks outside the United
States and Europe, particularly Asia banks.Study the relationship between risk and capital structure in
manufacturing companies has been done. Studies of Cathoth (2002), Cathoth and Olsen (2007), Zhao et. al.,
(2008), Crinigoj and Mramor (2009), and Akhtar and Oliver (2009) found negative effect of capital structure
(leverage) and risk. Parlak (2010) found no relationship between risk and capital structure. However, studies the
relationship between risk management and capital structure still rare. Miller and Modigliani (1958) said the
establishment of effective risk management can reduce risk of bankruptcy and increased financial leverage.
Active risk management can reduce the level of business risk, increasing financial risks associated with high
external debt (Ward, 1993 in Andersen, 2005). Empirical studies of Andersen (2005) shows a positive effect of
capital structure on risk management at large companies in U.S. But Andersen (2005) found capital structure
does not have effect on risk management at financial institutions U.S. even showed coefficients in opposite
direction but not significant between risk management and capital structure. Furthermore, study of Deelchand
and Padgett (2009) show that credit risk, market risk and liquidity risk become indicator of risk management
that proved have a significant negative effect on ratio of capital at cooperative banks in Japan.
A number of studies indicate that banking regulation determine capital structure decisions. Empirical
studies of Ghosh et al. (2003) and Mishkin (2000) show banking regulations affect banks' capital structure
decisions. Adversely, Groop and Heider (2009), Flannery (1994), Myers and Rajan (1998), and Diamond and
Rajan (2000) find that banking regulations, in terms of capital adequacy requirement, does not affect bank's
capital structure decision.Inconsistent results of previous studies showed research gap. This opens up
opportunities for researchers to conduct further research and testing the relationship between banking regulation
and capital structure decisions. This study was conducted to explain inconsistent results. In addition, this study
aims to examine and explain banking regulation role as a moderating variable to strengthens the effect of risk
management on bank's capital structure decision because there has not yet found any research to study that.
This study aims are: (1) examining and explaining effect of risk management on capital structure decisions, (2)
examining and explaining effect of banking regulations on capital structure decisions, and (3) examining and
explaining banking regulation role in moderating effect of management risk on capital structure decisions.
II. LITERATURE REVIEW
2.1. Risk Management
Banks as well as other financial institutions and companies generally run business in order to obtain
return of operations that always exposed to risk. Risks that occur can result in losses for bank if not detected and
not managed properly. Therefore, banks have to understand and know risks may arise in carrying out its
business activities. The top leadership in management of bank as well as all relevant parties should know risks
that may arise in business activities of bank, as well as knowing how and when these risks appear in order able
to take appropriate action. Common understanding of each risk category is important in order managers,
executor and supervisor can discuss common issues that naturally occur from a variety of emerging risks
(Idroes and Sugiarto, 2006).Risk management practice aims to avoid a loss that is caused by occurrence of risk
or event. Risk management is identification, assessment, and risks priority that accompanied by implementation
of economical and coordinated resources to minimize, monitor, and control the possible effect of unfavorable
events (Njogo, 2012). Essentially risk management is a comprehensive process that is equipped with tools,
techniques, and science that needed to identify, measure, and manage risk more transparently.Motivated by the
sense to take a risk in carrying out the functions to offer financial services, bank must take or accept risk and
manage various types of financial risks effectively to avoid negative impacts. Before awareness for risk
management need emerges, almost all banks argue that risk should be avoided or eliminated. According Idroes
and Sugiarto (2006), risk itself should not always be avoided in all circumstances, but should be managed
properly without reducing the achieved. Risks that managed properly can provide benefits for banks to generate
attractive profits. In order these benefits to be realized then decision-makers must understand about risk and its
management.Bank Indonesia Regulation No. 5/8/PBI/2003 dated May 19th 2003 about Risk Management for
Commercial Banks is a manifestation of problem seriousness in bank risk management. This is reinforced by the
issuance of Circular Letter of Bank Indonesia No. 5/21/DPNP dated September 29th 2003 concerning with Risk
Management Application for Commercial Banks. Bank Indonesia's seriousness is more emphasized with the
issuance of Bank Indonesia Regulation No.7/25/PBI/2005 in August 2005 on Risk Management Certification
for management and officers of commercial banks, which requires all banks from low-level officials to highest
to have a risk management certification that appropriate with his rank (Idroes and Sugiarto, 2006). Essence of
risk management application is a set of procedures and methodology that used to identify, measure, monitor, and
control risks that arising from business activities of bank (Bank Indonesia, 2009).
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4. Banking Regulation Role As Moderation The Effect…
2.2. Banking Regulation
Banking sector is a system that linked one to another. The failure of one bank not only cause problems
at individual banks. Furthermore, a bank failure can cause a domino effect in banking industry. Because bank
provides a means of payment, then the failure of banking sector will lead to failure in corporate sector where
there is a bottleneck in payment settlement. As a result of failure in this sector can have a negative effect on
entire system. Failure of one bank can cause problems in banking system as a whole and can cause massive
withdrawal of health bank (Sunarsip and Salamun, 2003).Bank is a financial institution that is most tied to
regulation (Mukuddem - Petersen and Petersen, 2008). Banks regulation is associated with banking institutions
as well as products and services offered. Purpose of regulation in banking industry is to protect customers and
increasing their confidence to products of banking industry. Regulation for a bank is different from regulation of
other industries. The effect of any bank management will have an effect on overall economy. If on other
industries regulation generally concerning with standardized products and business competition, regulation on
banking industry comprehensively covers the entire bank (Idroes, 2008).
2.3. Capital Structure Theory of Financial Institutions
Company financial strategy is very interesting to study, especially its application to banking industry.
One important thing is decision-making. According to Salim (2011) there are three (3) major financial decisions,
namely: (1) investment decision, determination amount of input and output using capital budgeting analysis, (2)
determination of capital structure, namely the determination of funding mix, whether full capital, long-term
debt, or a mix between capital and long-term debt, (3) determination of profit distribution or dividend policy.
Corporate spending is grouped into two types In financial management strategy, namely : debt and equity (own
capital). Debt advantages are: 1) reducing the interest tax to lower cost of debt, 2) creditor acquire limited
returns so shareholder do not have to share the profits when business conditions were developed, 3) creditor
does not have voting rights so shareholders can control company with small investments funds (Brigham and
Ehrhardt. 2008). But debt also has drawbacks, namely : (1) debt usually must be paid in a certain period of time,
(2) a high debt ratio will increase risk that will further increase the cost of capital, (3) if company in difficult
conditions and profits can not be meet interest charges then it may create liquidation.Modigliani and Miller
(1958) suggested that capital structure does not affect the company value with the various assumptions that in
reality these assumptions are difficult to be fulfilled. According to Brigham and Ehrhardt (2008), Modigliani
and Miller 's theory is based on following assumptions : (1) there are no transaction costs in capital markets, (2)
does not takes into account taxes, (3) does not takes into account the presence of bankruptcy costs, (4) same
treatment to customer, (5) absence of agency costs, and (6) EBIT is not affected by debt usage.
Literature about capital structure discussion in financial institutions is rather rare. Existence of banking
companies depend on imperfections in capital markets, including transaction costs and information. According
to Modigliani and Miller (1958), and Miller (1977) personal tax and company value does not depend on capital
structure. In such an environment, it is not necessary financial intermediaries or banks (Fama and French, 1998).
Boyd and Prescott (1986) showed that in banking environment the investment opportunities is agency personal
information. Kaufman (1992) suggests that banks are always accepted by less risky market than non-financial
businesses, and able to operate with a ratio of capital lower to assets. However, capital structure in corporate
banking can not be fully explained by theories for non-financial companies.Sealey (1983) argue that corporate
finance theory can not directly applicable to banks. Although the theory of corporate finance in perfect capital
market is well developed, but only applies to non-financial companies. Banks as financial intermediaries
generally excluded because these banks only exist in imperfect markets that have imperfect information.
Although theory of corporate finance has been extended to handle multiple market imperfections, for example,
bankruptcy, agency problems, asymmetric information, etc., however Sealey argues that most theories still can
not be applied to financial institutions for two reasons : first, the existing models ignore the liquidity services
that provided by these institutions, and secondly, these institutions face unique production conditions where
deposit funding level is stochastic.Buser et al. (1981) suggested that without regulation and deposit insurance,
capital structure decisions on banking companies is similar to non-financial companies. Arshadi (1989) showed
that optimal capital structure for banking companies is within agency theory framework. Bigger banks typically
have a greater effect than smaller banks, as well as presence of agency costs variations.
III. FRAMEWORK FOR RESEARCH AND DEVELOPMENT HYPOTHESIS
Strict regulation in banking industry is needed because risk inherent in banking system. Banks products
that used by all clients are money. If a bank does not have sufficient funds to pay the deposits of depositors who
want to withdraw their funds, will further raise concerns about bank stability. This can lead more other
depositors withdraw their deposits despite issue is not necessarily true,
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33 | Page
5. Banking Regulation Role As Moderation The Effect…
only perception.In addition, risk management application in banking is a necessity because bank is one
of financial institutions that vulnerable to risk (Susatyo, 2010). Risk management application in banking is
regulated in Bank Indonesia Regulation No. 5/8/PBI/2003 dated May 19th, 2003 on Risk Management for
Commercial Banks. In accordance with banking needs to grow dynamically, then the regulation is updated with
Bank Indonesia Regulation No. 11/25/PBI/2009 concerning Amendment to Bank Indonesia Regulation No.
5/8/PBI/2003 on Risk Management Application for Commercial Banks. Bank Indonesia Regulation is a
translation of Basel II. It is basis principles of risk management adopted by most banks in world.Cebenoyan and
Strahan (2004) suggested a relationship between risk and capital. The greater risks, bank need greater capital
bank. Based on this regulatory, authorities require banks to have sufficient capital to absorb risks. In this case a
bank's capital level should be based on level of capital risk (risk based capital). This regulation is known as
capital Adequacy Ratio (CAR) or the minimum capital adequacy or Minimum Capital Adequacy Compliance
(CAR). It is interesting to study further relationship between risk management, banking regulation and bank
capital structure decisions as proposed at study conceptual framework in Figure 1.
Risk
Management
Capital Structure
Decision
Banking
Regulation
Figure 1. Research Concept Framework
3.1.Effect of Risk Management on Capital Structure Decisions
Research of Low and Chen (2004) suggests that business risk negatively correlated with debt ratio.
This shows that company with business risk tend to have low debt ratios. Although findings of Cassar and
Holmes (2003) showed business risk does not effect significantly on leverage, but studies show coefficient
direction of business risk to leverage is negative. This finding was supported by Welch (2002) that risk was
significantly and negatively affect on capital structure.Cebenoyan and Strahan (2004) research results found that
banks improve their ability to manage credit risk (risk management), in this case credit risk management can be
done with large debt (leverage), and can lend more assets risky borrowers. Good risk management practice will
make banks more effective to choose their capital structure decisions. This means that risk management has a
positive effect on capital structure. Therefore, hypotheses formulation of this study is follows:
Hypothesis 1 : Good risk management practice will determine better capital structure decision.
3.2. Effect of Banking Regulation on Capital Structure Decisions
Buser et al. (1981) showed that without regulation and saving assurance, capital structure decisions in
banking companies is similar to company's industry. Kwan (2009) suggested banks and other depository
institutions are specific businesses where capital structure is affected by a number of unique conditions in
banking industry, such as banking regulation and deposit assurance. Capital structure is needed to encourage
banks maintain larger capital.Groop and Heider (2009) argued that banking regulation does not affect bank's
capital structure decision. These results support research findings of Flannery (1994), Myers and Rajan (1998),
Diamond and Rajan (2000), and Allen, Carletti and Marquez (2009) that banking regulation, in this case capital
adequacy requirements, do not affect banks' capital structure decisions.Adversely, Ghosh et al. (2003) in a study
of public sector banks in India found that banking regulations affect on banks' capital structure decisions. This
supports expressed by Mishkin (2000) which states that banking regulation, in this case capital requirements
regulatory, affect on bank's capital structure. Therefore, hypotheses formulation of this study is follows:
Hypothesis 2 : Higher adherence to banking regulations will determine better capital structure decisions.
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6. Banking Regulation Role As Moderation The Effect…
3.3. Relationship between Risk Management, Capital Structure Decisions and Banking Regulation
Relationship between capital and risk adjustments depend on amount of capital retained bank that
exceed the minimum capital reserves (capital buffer). In Germany, banks with low capital reserves try to rebuild
capital reserves in order sufficient to raise capital while simultaneously lowering risk (Heid et al., 2004).
Adversely, banks with large reserves try to maintain their capital reserve ratios by increasing risk when capital
improved. These findings support the theory of capital reserves.Research of Barrios and Blanco (2003) suggests
that banks are affected by regulations to regulate capital above minimum. Although regulatory limits is one
factors associated with additional capital at commercial banks in Spain, but it is not the most important. Instead,
pressure of market forces is a major determinant of bank capital requirements.Santomero and Watson (1977)
show that too strict capital regulation will lower bank credit offers. It will increase bank's failure to increase
productive investment. Flannery and Rangan (2008) concluded that banking regulation does not affect
relationship between risk and capital structure. Adversely, Calomiris and Wilson (2004) found that risk have
negative relationship with capital structure when there is no banking regulations.
According to Syer (2003), regulation pressure is an important driver of risk management for market
order, credit and operational risk. Negative effect of regulation can be seen as a barrier to innovation. Therefore,
hypotheses formulation of this study is follows:
Hypothesis 3 : Adherence to banking regulations will strengthens the effect of risk management on better capital
structure decision-making.
Based on conceptual framework and research hypotheses that have been described above, then hypothesis model
can be presented in Figure 2.
Figure 2. Research Hypothesis Model
IV. RESEARCH METHODS
This study uses a quantitative approach that supported by in-depth interviews. This study used a survey
H3
method, which collects information from a number of individuals in a population by using a series of formal
questions (Veal, 2005). Data analysis technique is multivariate statistical methods (Structural Equation
Modeling) using GSCA software.This research was conducted at People Credit Bank (PCB) that listed in Office
of Bank Indonesia in Manado and Gorontalo in 2010. Study population was all PCB in North Sulawesi province
(17 banks) and Gorontalo (4 banks). Population criteria in this study were all PCB are categorized health by
Bank Indonesia. Number of banks that suitable to criteria are 20 banks. Analysis unit of this study were People
Credit Bank (PCB ) in North Sulawesi province and Gorontalo province.Respondents are CEO or top
management, namely Commissioner, Commissioner, Director and Director. It is based on consideration that
Commissioner and Director know condition and policy of People Credit Bank they lead. Bank samples are
People Credit Bank with full operation and have not problem or have status being supervised by Bank
Indonesia.Data was collected through questionnaires to 20 People Credit Bank, from September to December
2011. Total 87 questionnaires are distributed. Until deadline, 51 research questionnaires filled and worthy to be
analyzed (57.95 percent respond rate). It represent 20 banks, including 17 banks in North Sulawesi (85 percent)
and 3 banks in Gorontalo area (15 percent). Because analysis unit in this study were PCB, number of data
samples analyzed were 20 banks. There are a number of banks that are represented by more than one CEO
respondent (the commissioner / director). In data analysis, data is averaged for bank that represented by more
than one CEO respondents.
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7. Banking Regulation Role As Moderation The Effect…
Data analysis in this study is based on research questionnaire instruments distributed throughout 87
respondents according to CEO position occupied in PCB of North Sulawesi and Gorontalo province. The
number of directors is 40 people and as many as 47 commissioners. Questionnaire collection takes
approximately three (3) months from September 19th 2011 until December 19th 2011.Inferential statistical
analysis is used to test management conception that stated in research hypothesis (Ferdinand, 2006). To answer
this hypothesis the analysis method used is Generalized Structural Component Analysis (GSCA), with aims to
replace factor with a linear combination of indicators (manifest variables) in SEM analysis. This analysis
approach use least square method in parameter estimation process. GSCA method is a new method of
component-based SEM that very important and can be used for score calculation (not scale) and can also be
applied to very small samples (Solimun, 2012).
V. RESULTS AND DISCUSSION
5.1. Result
This study aims to test model and to explain effect of risk management and banking regulation on
capital structure decisions. Hypothesis testing is done by path analysis model. Summary of hypothesis testing
results are presented in Table 3.
Table 3. Hypothesis Testing Results
Hypotheses
Path Coefficient
Description
Estimate
SE
CR
H1
Risk Management
Decision
Structure
0.839
0.138
6.06*
Significant
H2
Banking Regulation Capital Structure
Decision
0.571
0.179
3.18*
Significant
H3
Interaction of Banking Regulation with Risk
management Capital Structure Decision
-0,334
0.612
0.54
Insignificant
Capital
Testing Hypothesis 1
Effect of risk management variables measured through 8 dimensions. They are credit risk management,
market risk management, liquidity risk management, operational risk management, legal risk management,
reputation risk management, strategic risk management, and compliance risk management. Parameter estimation
the effect of risk management on capital structure decisions is 0.839 with significant value at CR = 6.06.
According to Ferdinand (2006), value of CR (Critical Ratio) ≥ 2.00 means that a hypothesis is accepted.
Therefore, value of CR = 6.06 is above requirements of CR ≥ 2.00 with a significance level of 0.05 (5 %),null
hypothesis (H0) is rejected and alternative hypothesis is accepted. This means that risk management has
significant and positive effect on capital structure decisions where hypothesis 1 is accepted.
Testing Hypothesis 2
Effect of banking regulation variable is measured through follows indicators: banks always comply
with the minimum capital requirement, bank always comply with legal lending limit, bank always comply with
statutory reserve and bank always comply with provisions of Loan to Deposit Ratio (LDR). Parameter
estimation the effect of banking regulations on capital structure decisions is 0.571 with a significant level at CR
= 3.18 is above the requirements of CR ≥ 2.00 with a significance level of 0.05 (5 %) so that null hypothesis is
rejected and alternative hypothesis is accepted. This means that banking regulations has significant and positive
effect on capital structure decisions, so that hypothesis 2 is accepted.
Testing Hypothesis 3
High or low levels of adherence to banking regulations will moderate or strengthens risk management
practices in determining better capital structure decisions is not proven. Analysis showed that interaction the
parameter estimation of banking regulations and risks management on capital structure decisions is -0.334 and
significant at level of CR = 0.54. These results indicate that value of CR is lower than requirements of CR ≥
2.00 with a significance level of 0.05 (5 %) so that null hypothesis is accepted and alternative hypothesis is
rejected. This suggests that interaction of adherence to banking regulations on risk management has significant
and negative effect on capital structure decisions, so hypothesis 3 is rejected. This means that strict adherence to
banking regulation had no significant effect to strengthen or moderate the effect of risk management on capital
structure decisions.
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5.2. Discussion
5.2.1. Effect of Risk Management on Capital Structure Decisions
Risk and risk management practices should always be considered in running a good business
(Kendrick, 2004). Risks are things that can lead to unexpected losses. Risk measurement focuses on unexpected
loss of banks income volatility, which started from a low income, loss of balance, up to a potential bankruptcy.
Generally, bank risk is classified into category of market risk, credit risk, operational risk, liquidity risk,
strategic risk, and business risk (Jorion, 2000) The most important aspect of risk management is capital controls
(Cai and Wheale, 2009). There are two main critical concepts in managing a portfolio of bank capital (Rowe,
Jovic, and Reeves, 2004), namely: (1) Risk assessment and management. Banks need to effectively and
accurately determine the amount of capital required to absorb unexpected losses derived from market risk
exposure, credit risk and operational risk. (2) Profit from business activities need to be evaluated with regard to
need to address risk capital.
Good risk management practice is able to determine better capital structure decisions. Risk
management practices that lead to better condition of belief will have a positive effect on capital structure
decision-making so it can improve CEO support for better capital structure decisions-making. In turn this is
expected to encourage CEO of People Credit Bank to make better capital structure decisions. Good risk
management practices will lead to better capital structure decisions. This study findings is consistent with
opinion of Cebenoyan and Strahan (2004) which states that bank with better ability to manage risk (risk
management) can operate with large debts and assets and can lend to riskier borrowers. Good risk management
practice will make bank decisions more effective to choose their capital structure. It means that risk
management has a positive effect on capital structure.
Risk management that created from credit risk management, market risk management, liquidity risk
management, operational risk management, legal risk management, reputation risk management, risk
management strategies, and compliance risk management become incentive for top management (CEO) in
determining better capital structure decisions. Credit risk management has highest loading estimated risk
management. Good credit risk management will minimize risks stemming from lending. Giving credit to
community is main activity of banks that contain risks that may affect bank survival. Bad credit payment will
affect bank's capital because credit risk management is one part risk management that will affect capital
structure decisions.Study findings suggest that credit risk is the highest risk for banks, especially PCB. This is
consistent with results of interviews with informant, a director at one PCB in Manado, North Sulawesi, which
says that :
" Generally, average credit risk positions between commercial banks and PCB still higher PCB. Data
show that commercial banks have zero point, People Credit Bank has above one credit risk. Credit risk
still dominate..... PCB is more risky because of HR, as well competition among industry.... "
Interviews result means that PCB loan risk is higher than commercial banks because of limited
resources that are owned by PCB and also due to competition among PCB in lending. The high credit risks
faced by People Credit Bank is indicated by mean value of NPL that greater than 5 %. Study findings show that
45% of PCB in North Sulawesi and Gorontalo province have NPL value greater than 5 %. This means that risks
of People Credit Bank in terms of credit risk is very large due to asset quality is not as good as indicated by NPL
value that greater than 5 %. Bad asset quality interfere banks liquidity that can affect on lower CAR. Banks must
consistently apply precautionary principle and prudent credit in order to anticipate such risks. Therefore, banks
are required to have written credit policy guidelines and procedures.
Banks that having a manual that contains a standard credit loans will have highest indicator value of
credit risk management. Manual credit held by banks play an important role to anticipate credit risk. This
manual is a guide to lending policies and credit procedures, the reference credit to community. Nevertheless a
manual credit alone is not enough, bank must also carry out periodic reviews independently of approved credit
and bank must perform a careful examination toward completeness of credit administration. Those things in line
with PCB leaders who act as respondents.
Risk management practices are also shaped by risk management strategy. This risk management
strategy is described by bank indicator that always evaluate strategy implementation as a basis to establish a new
strategy. This strategy implementation evaluation is very important especially by People Credit Bank to face
increasingly fierce competition. Competition occurs not only among People Credit Bank to capture market
share, but also extends to cooperative and usurer. Even now competition is happened between commercial banks
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9. Banking Regulation Role As Moderation The Effect…
and mortgage in credit tapping.This is consistent with interviews results of informant’s researcher who become
chief executive at one of PCB in Minahasa district, North Sulawesi, which says that:
"The competition is increasingly intense as the industry is growing. Competition between PCB, as well as with
commercial banks.... we have to face too common bank. What is certain in terms of position, PCB is still one
step below the commercial banks, we must make a good position, should be able to take care or public trust,
users of banking services, it is not easy... "
The interview results implies that PCB facing very tough competition, both among PCB themselves, as well as
with commercial banks. It need plan and set strategies in face of such competition.
Interviews result with one of Directors of PCB in Manado, North Sulawesi is follows :
" Indeed, we must make strategic plans, work plans... The work plan was part of a strategy to achieve goal, all
indicators that reference of regulations, particularly from BI regulators. We should strive to achieve what has
become the benchmark of BI through indicators of banks healthy. We must be on track to reaches the indicators
of health banks. Bank managers must make maximum efforts and strategic plans to achieve desired goals either
from shareholders including supervisors or commissioners.... That's our job as the manager... "
It can be concluded from above these statements that strategic planning needs to be done to achieve all
targets as well as to minimize the possible negative effect of inaccuracy strategic decision making and failure to
anticipate changes in business environment. Good risk management practices will determine better capital
structure decisions.Analysis revealed that risk management has a positive effect on banj capital structure. Risk
management is aimed to control risk or lowering risks faced by banks. Results showed that average respondent
agrees to practice risk management in their bank. Right risk management can reduce risk. This encourages
banks to raise debt or raise more funds from public. The greater funds collected from community, the greater
funds could be channeled through the credit, so the greater profit. Reduced risk as a result of good risk
management practices encourage banks collect fund from public through savings and deposits (external funding)
rather than capital funding from shareholders (internal funding) thereby increasing bank's capital structure.
These study findings are consistent with study results of Cebenoyan and Strahan (2004) which states that higher
or better risk management practices makes banks better in choosing their capital structure decisions.
5.2.2. Effect of Banking Regulation on Capital Structure Decisions
Strict regulation in banking industry is much needed because risks inherent in banking system. Banks
product that used by all clients is money. The greater risks, the greater required capital of a bank. Based on this
condition, regulatory authorities require banks to have sufficient capital to absorb risks, in this case a bank's
capital level should be based on level of capital risk, in other words, risk-based capital. In order banks have
enough capital to absorb risk then it created a regulatory capital requirements. This Regulation closely related to
bank's capital structure.
This study shows that adherence to high banking regulation can directly led to increase in better capital
structure decisions. Adherence level to high banking regulations require a clear understanding toward basic
principles of regulations issued by Bank Indonesia. When this is done then bank can obtain benefits of better
capital structure decision-making, primarily through higher awareness toward importance of adherence to
banking regulations. This can be explained by looking at indicators of banking regulations.
Banking regulation indicator, an indicator of operational practices that always comply with bank’s
capital adequacy ratio, has highest value of parameter estimation. This suggests that high adherence to banking
regulation reflects adherence to provisions of minimum capital adequacy ratio. People Credit Bank which is
object of this research generally has CAR above banking regulations provision. People Credit Banks in study
have CAR with average of 41.44 percent, above the regulation that requires banks should have CAR above 8
percent.This finding is supported by research interviews results with a PCB director in Manado, North Sulawesi,
as follows :
"CAR 8 % affects capital structure decisions, because.... CAR should be kept a minimum 8 %, or we will
difficult to develop if we does not have strong capital, because it is not in accordance with minimum provisions
of 8 %. Therefore, it must be at least 8 %, higher even better so bank had activity and expansion, as well as the
provision of credit will not bothered"
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Interview results imply that minimum capital adequacy ratio (CAR) requirement above 8 percent is
believed by CEOs should be adhered because capital above minimum CAR will strengthens their capital.
Therefore, bank could carry out its operations and more able to expand and to give greater lending without
disturbed.This study result support the notion of Mishkin (2000) and Ghosh et al. (2003) that banking
regulations affect banks capital structure decisions. Adversely, test results do not support the statement of
Flannery (1994), Myers and Rajan (1998), Diamond and Rajan (2000), Allen et al. (2009), and Groop and
Heider (2009) who found that banking regulation does not affect bank's capital structure decision.
5.2.3. Banking regulation role as a moderating effect of risk management on capital structure decisions
Flannery and Rangan (2008) suggests that banking regulation does not affect the relationship between
risk and capital structure. Adversely, Calomiris and Wilson (2004) argue that there is a negative relationship
between risk and capital structure when there is no banking regulations. But they did not explain how
relationship between risk and capital structure without banking regulations.Barrios and Blanco (2003) suggests
that banks are affected by the regulations that regulate capital in order more than minimum capital. Although
banking regulation is one factor associated with banks capital additional, but banking regulation is not the most
important factor in determining bank capital structure. They argue that main determinants of bank capital
structure is pressure of market forces.Santomero and Watson (1977) show that too tight capital regulation will
lower bank lending. It will increase bank failures in increasing productive investment. Regulation pressure is an
important driver in risk management practices to control market risk, credit risk and operational risk. Regulation
can stifle innovation (Syer, 2003).
Researcher has not found a previous study that together examined relationship of three variables,
namely banking regulation, risk management, and capital structure. In addition, previous research did not
examines the role of banking regulations in moderating effect of risk management on capital structure decisions,
both in banking institution itself or in an industrial manufacturing company, so this will become a study
originality. This research is a study of perceptions of internal financial management. The respondents were
leader (CEO) of People Credit Bank (PCB) in North Sulawesi and Gorontalo Province.These study findings
indicate that adherence to banking regulation does not significantly moderate risk management practices in
determining capital structure decisions. Its effect is weak and not significant with negative relationship
direction. It means that higher adherence level to banking regulations would lower the effect of risk
management in determining capital structure decisions. These results differ from previous prediction that
banking regulation would moderate the effect of risk management on capital structure decisions. This is research
findings originality in field of financial management.
The test results showed that banking regulation act as predictor moderation variable, where only
banking regulations become a predictor variable in determining capital structure decisions. This means that strict
adherence to banking regulations can not able to become the deciding factor to determine capital structure
decisions. Banking regulation can not act as a moderating relationship between risk management with capital
structure.Adherence to banking regulation has no significant effect on risk management practices in determining
capital structure decision. The effect of banking regulation has negative coefficient but not significant.
Therefore, level of adherence to banking regulation will have no effect on risk management practices in
determining the structure of decision capital. Results of these tests indicate that higher adherence to banking
regulations will weaken risk management practices in determining capital structure decisions. Adversely, lower
adherence level to banking regulations will further strengthens risk management practices in determining capital
structure decisions.
This can be explained by looking at dimensions and indicators of risk management variable. Indicator
that most describe risk management variables in this study is credit risk management. This refers to risk
management practice of Bank Indonesia Regulation No. 11/25/PBI/2009 about Amendment to Bank Indonesia
Regulation No. 5/8/PBI/2003 about Risk Management Application for Commercial Banks. Similarly, indicator
variables that most describe banking regulation variable is operational management practices of banks that
always comply with minimum capital requirement. This variable refers to banking regulation of Bank Indonesia
Regulation No. 5/12/PBI/2003 dated July 17th, 2003 about Capital Adequacy of Commercial Banks.Both risk
management and banking regulations variables refer to same source, namely bank Indonesia Regulation. When
banking regulation is used as a moderating variable the effect of risk management on capital structure decisions,
then higher adherence level to banking regulations will weaken risk management practices to improve capital
structure decisions. This suggests that adherence to banking regulation and risk management practices thus
provide a negative value. This opens opportunities for further research to use other variables outside of Bank
Indonesia Regulation, such as leadership behavior variable in facing risk.
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When compared with accumulation of Financial Statements of PCB, actually risk management
practices have not been able to run properly, marked with a mean value of NPLs of 6.37% still above 5 %.This
study found that bank always comply with minimum capital indicators has highest load estimate, biggest to
describe banking regulations variable. Banks always comply with minimum capital plays an important role to
describe adherence to banking regulations. The better response of bank always comply with minimum capital
means the better adherence to banking regulations.This study findings indicate bank always comply with
minimum capital indicator attained the highest response from respondents. It indicates that minimum capital
requirement is always followed by bank. But it is different from findings of PCB Financial Statements that still
there are PCBs that do not comply this provision where the values is below 8 %.There is a great desire of PCB
leadership (CEO) to implement risk management practices, but in fact they have not been able to do so. This
could be interpreted that risk management practices that implemented by PCB is quasi. It need guidelines
regarding specific risk management practices of PCB. Until today, risk management practice of PCB refers to
risk management guidelines for conventional banks, while PCB have different characteristics.
Similarly, PCB also requires banking regulation that suitable with PCB characteristics where today
PCB regulations still refers to regulation of conventional commercial banks that able to be adhered and
implemented by PCB. Inability to deeply comply with banking regulations appears on PCB Financial
Statements in 2011, where still not able to meet PCB capital adequacy ratio because still there are PCBs with
CAR value under 8 %. LDR provisions also can not be adhered to by PCB. The same thing is shown by NPL
where many PCBs have NPL values above 5 %. This indicates that adherence to banking regulations have not
been able to improve PCB. Banking regulations establishment that suitable with PCB characteristics is expected
to make PCB able to comply with banking regulations that could encourage investors to make People Credit
Bank that consistent with third-party funds growth in North Sulawesi and Gorontalo province so that it can
reach people in villages where during this research most PCB still located in cities.These study findings could
explain why adherence to banking regulation had no significant effect to moderate effect of risk management
practices on capital structure decisions. Adherence to banking regulation and risk management practices still
become driving factor where higher adherence to banking regulation weakens risk management practices in
determining capital structure. Adversely, lower adherence to banking regulation strengthens risk management
practices in determining capital structure decisions.This finding is supported by interviews with a PCB director
in Manado, North Sulawesi, as follows :
" The role of banking regulation
ns... means synergy, means helping, regulation help to manage risk... yes, indeed the purpose of rule is
to become umbrella, meaning to secure and minimize risk... indeed closely related where rule is made
with concern to various aspects... it created comprehensively on how its relates with existing risks.
Regulation is made to help bank to minimize any risk. So it is good, rules or regulations concerning the
capital affect on risk management,... so it can help "
5.3. Research Implications
Research model was built with looking at determinants of capital structure decision, where still very
rare in banking, especially banks with small capital such as People Credit Bank (PCB) by inserting banking
regulation variable as a moderating variable. Based on analysis and discussion, it can be seen that this study
provides a theoretical implications of causal relationships between banking regulation, risk management and
capital structure decisions variables.This study findings indicate that banking regulation become a predictor
variable in determining capital structure decisions, but banking regulation can not become a moderating variable
to strengthens risk management practices in determining capital structure decisions. The adherence level to
banking regulation of People Credit Banks (PCBs) is within well enough category to create better capital
structure decisions, although still there are some banking regulations that can not able to be adhered properly.
This study result will hopefully contribute to develop theoretical knowledge of financial management and
banking, particularly theory development of capital structure and risk management practices in banks. This
study is a model that analyzes risk management practices in People Credit Bank to determine capital structure
decisions that moderated by banking regulations to provide a better understanding. In addition, this study result
are expected to provide more information for future researchers in field of financial management and banking
with expanding and increase the writing vocabulary about risk management, capital structure and banking
regulation.This study is testing media about risk management and banking regulations related to capital structure
that provides a better understanding of factors that relevant in making capital structure decisions at banking
institutions. It also will help to find more relevant capital structure theories at banking institutions. This result is
also expected to lessen gap between empirical studies of capital structure in manufacturing companies (nonfinancial) and financial companies (banks). This study result are expected to become input for bank leaders
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(CEOs) in order to improve profitability and stability of banks so that they can continue to exist and grow in
today's competitive era.
This research also give benefits for regulator as Bank Indonesia. This study is very useful in helping to
establish a good banking regulation and effective risk management practices related to bank's capital structure
decision. In addition , this research gives benefits to community through information related to condition of
bank's capital structure that can be used as a reference in investment decision at PCB.This study result study
provide information about risk management practices that are beneficial for bank leadership in determining
better capital structure decisions. This study will provide an overview of banking regulation that are beneficial
to bank leadership in determining capital structure decisions. This study results also provides information about
role of banking regulation adherence in moderating the effect of banking risk management practices to
determine banks' capital structure decisions.This research has been implemented by following right scientific
research steps, but still there are some limitations that need improvement in future. These study limitations are:
(1) not all respondents willing to fill questionnaire because of his busy as a board of directors and
commissioners in PCB, (2) rather difficult to obtain secondary data regarding financial statements of non go
public companies as PCB, and (3) only few respondents who agreed to be interviewed to obtain qualitative
information.
VI. CONCLUSIONS AND LIMITATIONS
Risk management practices are important determinants for bank capital structure decisions. Better risk
management practices will improve leader’s decision in determining bank's capital structure. Risk management
practices at PCB in North Sulawesi and Gorontalo Provinces are implemented by increasing decision of bank
leader in determining its capital structure as embodiment of better decisions making of top management (CEO).
Risk management that carried out properly can reduce risk that encouraging banks to raise debt or raise more
funds from public. More funds that collected from community will provide opportunities for banks to tap more
funds through loans, thereby increasing their profit.
Banking regulations determine banks' capital structure decisions. Banking regulations is issued by
monetary authority, in this case the Bank Indonesia. It must be adhered and implemented by PCB in North
Sulawesi and Gorontalo Province. But still there is little Bank Indonesia regulation that has not been able to be
implemented. High adherence to banking regulations make better capital structure decisions.Banking regulations
do not act as a determining factor in risk management strengthens affect capital structure decisions. The high
adherence level to banking regulations weaken risk management in raising capital structure decisions.
Adversely, low level adherence to banking regulation actually strengthens risk management in raising capital
structure decisions. This is because risk management practice and compliance with banking regulations in some
PCB is still can not been able to implement properly.This research has limitations that need improvement for
future research. Interviews results with some BPR leader in North Sulawesi Province show that organizational
culture has a role to behavior management in making decisions regarding capital structure. Future studies are
recommended to develop a sample outside PCB to increase the generalizability of research results, especially
how banks create an effective risk management in determining capital structure decisions. It aims to further
strengthen the research contribution for wider generalization.
REFERENCES
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[13]
Akhtar, Shumi and Oliver, Barry. 2009. Determinant Capital Structure for Japanese Multinational and Domestic Corporations,
International Review of Finance, 9:1-2,2009: pp. 1-26
Allen, F., and A.M. Santomero. 1999. What do Financial Intermediaries do?. Center for Financial Institutions Working Paper, p.
99-130.
http://fic.wharton.upenn.edu/fic/papers/99/9930.pdf. Januari 2010.
Allen, F., E. Carletti, and R. Marquez. 2009. Stakeholder Capitalism, Corporate Governance and Firm Value, Wharton Financial
Institutions Center, Working Paper #09-28.
http://ssrn.com. April 2013.
Andersen, Torben Juul. 2005. Risk Management, Capital Structure, and Performance : A Real Options Perspective, Global Business
& Economics Anthology, September 15, 2005 : 1- 16
Arshadi, N. 1989. Capital Structure, Agency Problems, and Deposit Insurance in Banking Firms. The Financial Review, 24 (1):
31-52.
Bank Indonesia. 2009. Peraturan Bank Indonesia No.11/25/PBI/2009 tentang Perubahan atas Peraturan Bank Indonesia
No.5/8/PBI/2003 tentang Penerapan Manajemen Risiko bagi Bank Umum.
http://www.bi.go.id. April 2013.
Bank Indonesia Manado. 2011. Kajian Ekonomi Regional Provinsi Sulawesi Utara, Kantor Bank Indonesia Manado.
Barrios, V. E., and J. M. Blanco. 2003. The Effectiveness of Bank Capital Adequacy Regulation: A Theoretical and Empirical
Approach, Journal of Banking and Finance, 27: 1935-1958.
Boyd, J. H., and E. C. Prescott. 1986. Financial Intermediary: Coalition, Journal of Economics Theory, 38: 211-232.
Brigham, E. F., and M. C. Ehrhardt. 2008. Financial Management: Theory and Practice, Twelfth Edition, Thomson South-Western,
USA.
www.ijbmi.org
41 | Page
13. Banking Regulation Role As Moderation The Effect…
[14]
[15]
[16]
[17]
[18]
[19]
[20]
[21]
[22]
[23]
[24]
[25]
[26]
[27]
[28]
[29]
[30]
[31]
[32]
[33]
[34]
[35]
[36]
[37]
[38]
[39]
[40]
[41]
[42]
[43]
[44]
[45]
[46]
[47]
[48]
[49]
[50]
[51]
[52]
[53]
[54]
[55]
[56]
Buser, S. A., A. H. Chen, and E. J. Kane. 1981. Federal Deposit Insurance, Regulatory Policy, and Optimal Bank Capital, The
Journal of Finance,36 (1): 51-60.
Cai, Z. and P. Wheale. 2009. Managing Efficient Capital Allocation with Emphasis on the Chinese Experience, Journal of Business
Ethics, 87: 111-135.
Calomiris, C. W., and B. Wilson. 2004. Bank Capital and Portfolio Management: The 1930’s “Capital Crunch” and Scramble to
Shed Risk, The Journal of Business, 77 (3): 421-455.
Cassar, G., and S. Holmes. 2003. Capital Structure and Financing of SMEs: Australian Evidence, Accounting and Finance, 43: 123147.
Cathoth, Prakash K., and Michael D. Olsen. 2007. The Effect of Inviroment Risk,Corporate Strategy, and Capital Structure on Firm
Performance :An Empirical Investigation of Restaurant Firm”, International Journal of Hospitality Management 26, p. 502-516.
Cebenoyan, A. S., and P. E. Strahan. 2004. Risk Management, Capital Structure and Lending at Banks, Journal of Banking and
Finance 28:19-43.
Chen, K. 2004, The Influence of Capital Structure on Company Value with Different Growth Opportunities, Paper for EFMA 2002
Annual Meeting.
Crnigoj, Matjaz and Mramor, Dusan. 2009. Determinants of Capital Structure in Emerging European Economies : Evidence from
Slovenia Firms, Emerging Markets Finance & Trade I, Januari-February 2009, Vol. 45, No.1, p.72-89
Deelchand, Tara, and Padgett, Carol. 2009. The Reletionship Risk, Capital and Efficinecy, ICMA Centre Discussion Papers in
Finance, DP2009, p. 1-12.
Diamond, D. W. and R. G. Rajan. 2000. A Theory of Bank Capital, The Journal of Finance, LV (6): 2431-2465.
Fama, E. F., and K. French. 1998. Taxes, Financing Decisions, and Firm Value, Journal of Finance, 53 (3).
Ferdinand, A. 2006. Metode Penelitian Manajemen: Pedoman Penelitian untuk Penulisan Skripsi, Tesis dan Disertasi Ilmu
Manajemen, Edisi Kedua, Badan Penerbit Universitas Diponegoro, Semarang
Flannery, M. 1994. Debt Maturity and The Deadweight Cost of Leverage: Optimally Financing Banking Firms, American
Economic Review, 84: 320-331.
Flannery, M., and Rangan, K. 2008. What Caused The Bank Capital Build-Up of The 1990s?, Review of Finance 12: 391-429.
Ghosh, S., D.M. Nachane, A. Narain, and S. Sahoo. 2003. Capital Requirements and Bank Behaviour: An Empirical Analysis of
Indian Public Sector Banks, Journal of International Development 15: 145–156.
Ghozali, I. 2006. Aplikasi Analisis Multivariate dengan Program SPSS, Cetakan IV, Badan Penerbit Universitas Diponegoro,
Semarang.
Gitman, L. 2009. Principles of Managerial Finance, Twelfth Edition, The Addison Wesley Publishing.
Gropp, R., and F. Heider. 2009. The Determinants of Bank Capital Structure, European Central Bank, Working Paper Series No.
1096, September 2009.
Harris, M. and A . Raviv. 1990, Capital Structure and The Informational Role of Debt, Journal of Finance, 45: 321-349.
Hasan, M.R., 1997. The Determinants of Capital Structure of Banks: An Empirical Investigation, Dissertation, Kent State
University Graduate School of Management.
Heid, F., D. Porath, and S. Stolz. 2004. Does Capital Regulation Matter for Bank Behaviour? Evidence for German Savings Banks.
Discussion Paper Series 2: Banking and Financial Supervision No 03/2004.
Idroes, F.N., dan Sugiarto. 2006. Manajemen Risiko Perbankan: Dalam Konteks Kesepakatan Basel dan Peraturan Bank Indonesia,
Graha Ilmu, Yogyakarta.
Idroes, F. N. 2008. Manajemen Risiko Perbankan: Pemahaman Pendekatan 3 Pilar Kesepakatan Basel II Terkait Aplikasi Regulasi
dan Pelaksanaannya di Indonesia, PT RajaGrafindo Perkasa, Jakarta.
Jorion, P. 2000. Value at Risk: The Benchmark for Controlling Market Risk, Second Edition, McGraw-Hill Companies.
Kaufman, G. G. 1992. Capital in Banking: Past, Present and Future, Journal of Financial Services Research, 5 (4): 385-402.
Kendrick, T. 2004. Strategic Risk: Am I Doing Ok?, Corporate Governance, 4 (4): 69-77.
Kwan, S., 2009. Capital Structure in Banking, FRBSF Economic Letter 2009-37. http://www.frbsf.org. Maret 2010.
Low, P. Y., and K. H. Chen. 2004. Diversification and Capital Structure: Some International Evidence, Review of Quantitative
Finance and Accounting, 23: 55-71.
Marques, M. O., and M. C. Santos. 2004. Capital Structure Policy and Determinants: Theory and Managerial Evidence, SSRN
Working Paper Series, May 2004.
Miller, M. 1977. Debt and Taxes. Journal of Finance, 32 (2): 261-275.
Mishkin, F. S. 2000. The Economics of Money, Banking and Financial Markets, Sixth Edition, Addison Wesley, New York, USA.
Modigliani, F, and M.H. Miller. 1958. The Cost of Capital, Corporation Finance and The Theory of Investment, American
Economic Review, 48 (13): 261-297.
Mukuddem-Petersen, J., and M.A. Petersen. 2008. Optimizing Asset and Capital Adequacy Management in Banking, Journal
Optimum Theory Application, 137: 205-230.
Myers, S. C. and R. Rajan. 1998. The Paradox of Liquidity, Quarterly Journal of Economics,113: 733-771.
Njogo, B. O. 2012. Risk Management in The Nigerian Banking Industry, Kuwait Chapter of Arabian Journal of Business and
Management Review, 1(10): 100-109.
Rajan, R., and L. Zingales. 1995. What Do We Know about Capital Structure? Some Evidence from International Data, The Journal
of Finance, 1(5): 1421-1460.
Rowe, D., D. Jovic and R. Reeves. 2004. Basel II and Economic Capital, US Banker, April 2004, p. 28–62.
Salim, Ubud. 2011. Manajemen Keuangan Strategik: Panduan Memperbaiki Kinerja Keuangan dan
Profit, Universitas Brawijaya Press, Malang.
Santomero, A. M. and R.D. Watson. 1977. Determining an Optimal Capital Standard for The Banking Industry. Journal of Finance,
32 (4): 1267-1282.
Sealey, C.W. 1983. Valuation, Capital Structure, and Shareholder Unanimity for Depository Financial
Intermediaries, Journal of Finance, 38 (3): 857-871.
Solimun. 2012. Pemodelan Persamaan Struktural Generalized Structured Component Analysis (GSCA). Program Studi Statistika,
Fakultas MIPA Universitas Brawijaya, Malang.
Sunarsip dan S. Salamun. 2003. Analisis atas Deregulasi, Krisis, dan Restrukturisasi Perbankan di Indonesia: Pendekatan Teori
Polizatto dan William E. Alexander, Jurnal Keuangan Publik, Vol.1 No.1, September 2003. Badan Pendidikan dan Pelatihan
Keuangan, Departemen Keuangan RI.
Syer, D. 2003. Dealing with Basel II: Operational Risk - Encouraging Best Practice, Balance Sheet, 11 (4): 24-25.
www.ijbmi.org
42 | Page
14. Banking Regulation Role As Moderation The Effect…
[57]
[58]
[59]
[60]
Susatyo, A. B. B. 2010. Peran Manajemen Risiko dan Perilaku Organisasi untuk Meningkatkan Kinerja: Studi pada Bank Umum
Swasta Nasional dan Persero, Disertasi, Program Doktor Ilmu Manajemen, Pascasarjana Fakultas Ekonomi dan Bisnis Universitas
Brawijaya, Malang.
Veal, A. J. 2005. Business Research Methods: a Managerial Approach, Second Edition, Pearson Education, Australia.
Welch, Ivo. 2002. Columbus’ Egg: The Real Determinant of Capital Structure, Working paper 8782, National Bureau of Economic
Research, Cambridge. February 2002.
Zhao, Jianmei, Barry, Petter J., and Katachova, Ani L. 2008. Signaling Credit Risk in Agriculture : Implicatinos for Capital
Structure Analysis, Journal of Agricultural and Applied Economics, 40, 3 (Desember 2008) : 805-820.
www.ijbmi.org
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