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COURSE TITLE: SEMINOR IN FINANCE COURSE CODE: MPH 622
Synopsis of articles: The relationship between firm investment and financial status
By Sean Cleary, Saint Mary’s University, Halifax
Submitted to: Prof. Dr. Radhe Shyam Pradhan, Masters of Philosophy in Management, TU
Submitted by: Sudarshan Kadariya, Roll No 04/’010, M. Phil II Semester
Background: The scope of firm’s investment decisions and financial factors are directly related. It is evidenced that firms’ investment
decisions with high creditworthiness as per the traditional financial ratios are extremely sensitive to the availability of internal funds. On
the other hand, less creditworthy firms are much less sensitive to internal fund availability. But, the controversy found in the literature on
the ground that the use of financial status for investment decisions is not straight forward. As suggested by Modigliani and Miller (1958)
that a firm’s financial status is irrelevant for real investment decisions in a world of perfect and complete capital markets. However,
Greenwald, Stiglitz, and Weiss (1984), Myers and Majluf (1984), and Myers (1984) provide a foundation for these market imperfections
by appealing to asymmetric information problems in capital markets. Bernanke and Gertler (1989, 1990) and Gertler (1992) also support
the themes of earlier studies that financial structure may be relevant to the investment decisions of companies facing uncertain prospects
that operate in imperfect or incomplete capital markets where the cost of external capital exceeds that of internal funds. Fazzari, Hubbard,
and Petersen (1988), Hoshi, Kashyap, and Scharfstein (1991), Oliner and Rudebusch (1992), Whited (1992), Schaller (1993), and
Gilchrest and Himmelberg (1995) also are in support for the existence of this financing hierarchy. The investment decisions of firms
operating in market imperfection are sensitive to the availability of internal funds because they possess a cost advantage over external
funds.
Fazzari, Hubbard, and Petersen (1988) use Value Line data, sample 422 large U.S. manufacturing firms over the 1970 to 1984 analyze
differences in investment behavior and find that internal funds have a cost advantage over new equity and debt. Hoshi et al. (1991)
conclude that the investment outlays are much more sensitive to firm liquidity than firms that are presumed to be less financially
constrained, use sample 146 Japanese manufacturing firms. Oliner and Rudebusch (1992) examine 120 U.S. based firms during 1977 to
1983 period and find that investment is most closely related to cash flow for firms that are young, whose stocks are traded over-the-
counter, and that exhibit insider trading behavior consistent with privately held information. Schaller (1993) studies 212 Canadian firms
from 1973 to 1986 and concludes that investment for young, independent, manufacturing firms with dispersed ownership concentration is
the most sensitive to cash flow. Whited (1992) use an Euler equation approach, 325 U.S. manufacturing firms for the 1972 to 1986 period
and find the exogenous finance constraint to be particularly binding for the constrained groups of firms. Bond and Meghir (1994) use an
Euler equation approach, 626 U.K. manufacturing companies from 1974 to 1986 period also find as Whited (1992). Another study by
Mayer (1990) examines the sources of industry finance of eight developed countries from 1970 to 1985 and reveals a number of stylized
facts regarding global corporate financing behavior. He finds that; retentions are the dominant source of financing in all countries; the
average firm in any of these countries does not raise substantial amounts of financing from security markets in the form of short-term
securities, bonds, or equities; and, the majority of external financing comes from bank loans in all countries. All of these results support
Fazzari et. al. (1988)’s informational asymmetry argument.
Motivation: The inspiration of the study originated from the debate over the use of financial status for investment decisions. The issue
has been fueled after Kaplan and Zingales (1997) work they challenge the generality of the conclusions of previous studies. Contrary to
previous evidence, they find that investment decisions of the least financially constrained firms are the most sensitive to the availability of
cash flow. Though the findings of Kaplan and Zingles study bear the contradiction with earlier empirical results leads to examine the
generality of their conclusions. Moreover, the puzzling results and its implications during recessions along with the limitations of the
study: small homogeneous sample (49 manufacturing firms), excluded value line database, too small sub-groups (22, 19 and 8) for
comparison purposes, sorting criteria, somewhat subjective and rely on possibly self-serving managerial statements, etc are the motivating
factors for the this study. In general, the research gap identified in the concern area of interest and specifically on Kaplan and Zingales’
study encourage for the next study.
The work of Kaplan and Zingales (1997), use a combination of qualitative and quantitative information, rank firms in terms of their
apparent degree of financial constraint and classified as financially constrained if the cost or availability of external funds precludes the
cost of internal funds. Their study consists of 49 low-dividend paying firms, contrary earlier studies the finding shows the least financially
constrained firms exhibit the greatest investment–cash flow sensitivity. They suggest these controversial results “capture general features
of the relationship between corporate investment and cash f low”
Methodology: This study is designed to categorize the firms as per specific firm characteristics - dividend payout, size, age, group
membership, or debt ratings that are designed to measure the level of financial constraints faced by firms. Tools, techniques & approaches
used for the study are - Kaplan and Zingales Approach, Multiple discriminant analysis (similar to Altman’s Z factor), Bootstrap
methodology (Sign. level), correlation analysis, regression analysis, descriptive statistics, financial constraint index, etc are used. A major
focus of this study is the comparison of investment-liquidity sensitivities across different groups of firms. This study uses an objective
classification scheme and a large and diversified sample of 1317 firms for the period covering 1987 to 1994. Samples were selected under
the conditions: Firm’s not from Banks, insurance companies, other financial companies, and utility companies and required to have
positive values for sales, total assets, net fixed assets, and market-to-book ratio. The diverse sample constitute from two view points are:
as per listed companies (709 NYSE, 416 Nasdaq, and 192 AMEX or others US exchanges) and as per SIC code: 843 manufacturing firms
(SIC codes 2000–3999), 99 agricultural, mining, forestry, fishing and construction firms (SIC codes 1–1999), 201 retail and wholesale
trade firms (SIC codes 5000–5999) and, 174 service firms (SIC codes 7000–8999).
A number of observations are “winsorized” i.e. if the value of the variable exceeded cutoff values as per 7 rules. This approach reduces
the impact of extreme observations and allows the use of a larger number of observations for analysis. Classifications are made as per
financial constraint index (ZFC), they are allowed to change every period as the financial status changes continuously. The ZFC is
determined using multiple discriminant analysis, similar to Altman’s Z factor for predicting bankruptcy. An advantage of this approach is
that it considers an entire profile of characteristics shared by a particular firm and transforms them into a univariate statistic.
Discriminant analysis uses a number of variables that are likely to influence characterization of a firm in one of the two mutually
exclusive groups of interest. The present study uses the following beginning-of-period variables liquidity, leverage, profitability, and
growth: current ratio, debt ratio, fixed charge coverage, net income margin, sales growth, and slack/net fixed assets for analysis. The
hypothesis is that beginning of the period variables will enable to predict if firms will increase or decrease dividend payments in the
subsequent period.
Standardized i) discriminant function (ZFC ) and ii) regression model is also used.
i) ZFC = b1Current + b2FCCov + b3SLACK/K 1 b4 NI% + b5 Sales Growth + b6 Debt.
ii) I/Kit = bM/B(M/B)it + bCF/K(CF/K)it + uit
A bootstrapping procedure is used to calculate empirical p-values that estimate the likelihood of obtaining the observed differences in
coefficient estimates if the true coefficients are, in fact, equal. The p-value tests against the one-tailed alternative hypothesis that the
coefficient of one group is greater than that of the other group (H1: d >0). For example, p-value of 0.01 indicates that only 50 out of 5000
simulated outcomes exceeded the sample result, which implies the sample difference is significant, and supports the notion that d > 0.
Findings: The major finding is the investment decisions of firms with least financially constrained are significantly more sensitive to the
availability of internal funds than are firms that are most financially constrained.
Investment decisions of all firms are found to be very sensitive to firm liquidity, which is consistent with Kaplan and Zingles (1997)
results and this provides strong support for previous study.
The sample summary statistics for the period 1988 to 1994 which confirm that firms reducing dividends appear to be more financially
constrained according to traditional financial ratios i.e. lower current ratios, higher debt ratios, lower fixed charge coverage, lower net
income margins, lower market-to-book ratios, and lower sales growth, and have lower slack/net fixed assets values than firms that
increased dividends.
The largest number of firms increasing dividends (547) occurred in 1988 where as in second group (127) firms in for the year 1991. This
evidence supports the notion that firms face changing levels of financial constraints every year.
About 74% of the cases discriminant function correctly predicts the sample cases regarding which firms will cut or increase their dividend.
Firms are classified every year according to their ZFC values as not financially constrained (NFC), partially financially constrained (PFC)
and financially constrained (FC). The classification of the sample cases has successfully captured the desired cross-sectional properties
which shows financial ratios are superior for the NFC group, inferior for the FC group and the PFC in middle. The observed average
turnover (movement among 3 groups) rates are 40.9, 52.3, and 37.3 percent per year and firms are classified at least one year is 75, 83 and
74 percent of total sample for the NFC, PFC, and FC respectively. This indicates that individual firm’s financial status does change
significantly from one year to the next. In fact, only 17 firms are classified as PFC for all 7 years, and only 49 and 80 are classified as
NFC and FC for the entire period.
Firm’s investment decisions are sensitive to investment opportunities but are even more sensitive to liquidity variables.
At zero payout groups, investments of the NFC firms are the most sensitive to liquidity followed by the PFC firms, and FC firms.
Conclusions: The study concludes the accuracy of the classification of a large number of firms that increase or decrease dividends are 74
percent of the time. Large sample evidence demonstrates that the investment decisions of firms with high creditworthiness (least
financially constrained) are significantly more sensitive to the availability of internal funds than are firms that are less creditworthy. This
strongly supports the small-sample evidence of Kaplan and Zingales (1997).
Comments: This study is really a strong effort to validate the conclusions of earlier study using varying research methodology. The
positive aspects are the methodology of the study, statistical tools and models used for the analysis are clearly described. The motivation
of the study presented with the evidences of the literatures in a details. Determination of significance level has done which is supposed to
lack in literature. ***

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Synopsis b8 final

  • 1. COURSE TITLE: SEMINOR IN FINANCE COURSE CODE: MPH 622 Synopsis of articles: The relationship between firm investment and financial status By Sean Cleary, Saint Mary’s University, Halifax Submitted to: Prof. Dr. Radhe Shyam Pradhan, Masters of Philosophy in Management, TU Submitted by: Sudarshan Kadariya, Roll No 04/’010, M. Phil II Semester Background: The scope of firm’s investment decisions and financial factors are directly related. It is evidenced that firms’ investment decisions with high creditworthiness as per the traditional financial ratios are extremely sensitive to the availability of internal funds. On the other hand, less creditworthy firms are much less sensitive to internal fund availability. But, the controversy found in the literature on the ground that the use of financial status for investment decisions is not straight forward. As suggested by Modigliani and Miller (1958) that a firm’s financial status is irrelevant for real investment decisions in a world of perfect and complete capital markets. However, Greenwald, Stiglitz, and Weiss (1984), Myers and Majluf (1984), and Myers (1984) provide a foundation for these market imperfections by appealing to asymmetric information problems in capital markets. Bernanke and Gertler (1989, 1990) and Gertler (1992) also support the themes of earlier studies that financial structure may be relevant to the investment decisions of companies facing uncertain prospects that operate in imperfect or incomplete capital markets where the cost of external capital exceeds that of internal funds. Fazzari, Hubbard, and Petersen (1988), Hoshi, Kashyap, and Scharfstein (1991), Oliner and Rudebusch (1992), Whited (1992), Schaller (1993), and Gilchrest and Himmelberg (1995) also are in support for the existence of this financing hierarchy. The investment decisions of firms operating in market imperfection are sensitive to the availability of internal funds because they possess a cost advantage over external funds. Fazzari, Hubbard, and Petersen (1988) use Value Line data, sample 422 large U.S. manufacturing firms over the 1970 to 1984 analyze differences in investment behavior and find that internal funds have a cost advantage over new equity and debt. Hoshi et al. (1991) conclude that the investment outlays are much more sensitive to firm liquidity than firms that are presumed to be less financially constrained, use sample 146 Japanese manufacturing firms. Oliner and Rudebusch (1992) examine 120 U.S. based firms during 1977 to 1983 period and find that investment is most closely related to cash flow for firms that are young, whose stocks are traded over-the- counter, and that exhibit insider trading behavior consistent with privately held information. Schaller (1993) studies 212 Canadian firms from 1973 to 1986 and concludes that investment for young, independent, manufacturing firms with dispersed ownership concentration is the most sensitive to cash flow. Whited (1992) use an Euler equation approach, 325 U.S. manufacturing firms for the 1972 to 1986 period and find the exogenous finance constraint to be particularly binding for the constrained groups of firms. Bond and Meghir (1994) use an Euler equation approach, 626 U.K. manufacturing companies from 1974 to 1986 period also find as Whited (1992). Another study by Mayer (1990) examines the sources of industry finance of eight developed countries from 1970 to 1985 and reveals a number of stylized facts regarding global corporate financing behavior. He finds that; retentions are the dominant source of financing in all countries; the average firm in any of these countries does not raise substantial amounts of financing from security markets in the form of short-term securities, bonds, or equities; and, the majority of external financing comes from bank loans in all countries. All of these results support Fazzari et. al. (1988)’s informational asymmetry argument. Motivation: The inspiration of the study originated from the debate over the use of financial status for investment decisions. The issue has been fueled after Kaplan and Zingales (1997) work they challenge the generality of the conclusions of previous studies. Contrary to previous evidence, they find that investment decisions of the least financially constrained firms are the most sensitive to the availability of cash flow. Though the findings of Kaplan and Zingles study bear the contradiction with earlier empirical results leads to examine the generality of their conclusions. Moreover, the puzzling results and its implications during recessions along with the limitations of the study: small homogeneous sample (49 manufacturing firms), excluded value line database, too small sub-groups (22, 19 and 8) for comparison purposes, sorting criteria, somewhat subjective and rely on possibly self-serving managerial statements, etc are the motivating factors for the this study. In general, the research gap identified in the concern area of interest and specifically on Kaplan and Zingales’ study encourage for the next study. The work of Kaplan and Zingales (1997), use a combination of qualitative and quantitative information, rank firms in terms of their apparent degree of financial constraint and classified as financially constrained if the cost or availability of external funds precludes the cost of internal funds. Their study consists of 49 low-dividend paying firms, contrary earlier studies the finding shows the least financially constrained firms exhibit the greatest investment–cash flow sensitivity. They suggest these controversial results “capture general features of the relationship between corporate investment and cash f low” Methodology: This study is designed to categorize the firms as per specific firm characteristics - dividend payout, size, age, group membership, or debt ratings that are designed to measure the level of financial constraints faced by firms. Tools, techniques & approaches used for the study are - Kaplan and Zingales Approach, Multiple discriminant analysis (similar to Altman’s Z factor), Bootstrap methodology (Sign. level), correlation analysis, regression analysis, descriptive statistics, financial constraint index, etc are used. A major focus of this study is the comparison of investment-liquidity sensitivities across different groups of firms. This study uses an objective classification scheme and a large and diversified sample of 1317 firms for the period covering 1987 to 1994. Samples were selected under the conditions: Firm’s not from Banks, insurance companies, other financial companies, and utility companies and required to have
  • 2. positive values for sales, total assets, net fixed assets, and market-to-book ratio. The diverse sample constitute from two view points are: as per listed companies (709 NYSE, 416 Nasdaq, and 192 AMEX or others US exchanges) and as per SIC code: 843 manufacturing firms (SIC codes 2000–3999), 99 agricultural, mining, forestry, fishing and construction firms (SIC codes 1–1999), 201 retail and wholesale trade firms (SIC codes 5000–5999) and, 174 service firms (SIC codes 7000–8999). A number of observations are “winsorized” i.e. if the value of the variable exceeded cutoff values as per 7 rules. This approach reduces the impact of extreme observations and allows the use of a larger number of observations for analysis. Classifications are made as per financial constraint index (ZFC), they are allowed to change every period as the financial status changes continuously. The ZFC is determined using multiple discriminant analysis, similar to Altman’s Z factor for predicting bankruptcy. An advantage of this approach is that it considers an entire profile of characteristics shared by a particular firm and transforms them into a univariate statistic. Discriminant analysis uses a number of variables that are likely to influence characterization of a firm in one of the two mutually exclusive groups of interest. The present study uses the following beginning-of-period variables liquidity, leverage, profitability, and growth: current ratio, debt ratio, fixed charge coverage, net income margin, sales growth, and slack/net fixed assets for analysis. The hypothesis is that beginning of the period variables will enable to predict if firms will increase or decrease dividend payments in the subsequent period. Standardized i) discriminant function (ZFC ) and ii) regression model is also used. i) ZFC = b1Current + b2FCCov + b3SLACK/K 1 b4 NI% + b5 Sales Growth + b6 Debt. ii) I/Kit = bM/B(M/B)it + bCF/K(CF/K)it + uit A bootstrapping procedure is used to calculate empirical p-values that estimate the likelihood of obtaining the observed differences in coefficient estimates if the true coefficients are, in fact, equal. The p-value tests against the one-tailed alternative hypothesis that the coefficient of one group is greater than that of the other group (H1: d >0). For example, p-value of 0.01 indicates that only 50 out of 5000 simulated outcomes exceeded the sample result, which implies the sample difference is significant, and supports the notion that d > 0. Findings: The major finding is the investment decisions of firms with least financially constrained are significantly more sensitive to the availability of internal funds than are firms that are most financially constrained. Investment decisions of all firms are found to be very sensitive to firm liquidity, which is consistent with Kaplan and Zingles (1997) results and this provides strong support for previous study. The sample summary statistics for the period 1988 to 1994 which confirm that firms reducing dividends appear to be more financially constrained according to traditional financial ratios i.e. lower current ratios, higher debt ratios, lower fixed charge coverage, lower net income margins, lower market-to-book ratios, and lower sales growth, and have lower slack/net fixed assets values than firms that increased dividends. The largest number of firms increasing dividends (547) occurred in 1988 where as in second group (127) firms in for the year 1991. This evidence supports the notion that firms face changing levels of financial constraints every year. About 74% of the cases discriminant function correctly predicts the sample cases regarding which firms will cut or increase their dividend. Firms are classified every year according to their ZFC values as not financially constrained (NFC), partially financially constrained (PFC) and financially constrained (FC). The classification of the sample cases has successfully captured the desired cross-sectional properties which shows financial ratios are superior for the NFC group, inferior for the FC group and the PFC in middle. The observed average turnover (movement among 3 groups) rates are 40.9, 52.3, and 37.3 percent per year and firms are classified at least one year is 75, 83 and 74 percent of total sample for the NFC, PFC, and FC respectively. This indicates that individual firm’s financial status does change significantly from one year to the next. In fact, only 17 firms are classified as PFC for all 7 years, and only 49 and 80 are classified as NFC and FC for the entire period. Firm’s investment decisions are sensitive to investment opportunities but are even more sensitive to liquidity variables. At zero payout groups, investments of the NFC firms are the most sensitive to liquidity followed by the PFC firms, and FC firms. Conclusions: The study concludes the accuracy of the classification of a large number of firms that increase or decrease dividends are 74 percent of the time. Large sample evidence demonstrates that the investment decisions of firms with high creditworthiness (least financially constrained) are significantly more sensitive to the availability of internal funds than are firms that are less creditworthy. This strongly supports the small-sample evidence of Kaplan and Zingales (1997). Comments: This study is really a strong effort to validate the conclusions of earlier study using varying research methodology. The positive aspects are the methodology of the study, statistical tools and models used for the analysis are clearly described. The motivation of the study presented with the evidences of the literatures in a details. Determination of significance level has done which is supposed to lack in literature. ***