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Table 1 Studies analyzing the role of cash flow sensitivity to investment around the globe

From: Financial constraints and investment decisions of listed Indian manufacturing firms

Author

Segmenting variables

Methodology

Findings

Fazzari et al. (1988)

Dividend pay-out

Ordinary least square regression

Cash flow sensitivity is significant for low pay-out firms and insignificant for high pay-out firms.

Devereux & Schiantarelli (1990)

Age, size, age + size

Ordinary least square regression

Large firms are more sensitive to cash flow when size is splitting criteria and when firms are segmented on the basis of age cash flow is more important for newer firms than older ones.

Hoshi, Kashyap & Scharfstein (1991)

Business group affiliation

Ordinary least square regression

Investment is more sensitive to the group of firms for which the lender has less information available. It also highlights role of intermediaries in the investment process.

T. Whited (1992)

Interest coverage ratio

Linear Regression with GMM estimator

Financial constraints significantly affects the firm that do not participate in the bond market. Financial variables affects constrained firms much more than unconstrained firms.

Hubbard, Kashyap, and Whited (1995)

Dividend pay-out

Linear Regression with GMM

Capital market imperfections effects investment decisions

Bond & Meghir (1994)

Dividend over capital stock+ Share issues

Generalized method of moments and hierarchy of finance model

Current investment is positively related to lagged cash flows even after controlling for output fluctuations (Imperfect competition) and debt (bankruptcy cost –taxes).

Chiriko & Schaller (1995)

Age, concentration of ownership, Business group affiliation

Ordinary least square regression

Firms in weak information positions due to ownership structure, group membership and age have larger coefficients to liquidity even after correcting for endogeneity

Gilchrist & Himmelberg (1995)

Dividend pay-out ratio, size and existence of bond rating

Generalized method of moments and simple regression

Similar behaviour of large and small firms under the assumption of financial constraints.

Kaplan & Zingales (1995)

Dividend pay-out

Ordinary least square regression

Cash flow sensitivity is larger for unconstrained firms rather than constrained firms which contradicts results of Fazzari et al. (1988)

Kadapakkam, Kumar, & Riddick (1998)

Size

Ordinary least square regression

The cash flow sensitivity is highest in the large firm size group and smallest in the small firm size group. It is also reported that cash flow sensitivity is independent of the measure of firm size.

Cleary (1999)

Financial status index

Ordinary least square regression and multiple discriminant analysis

Least constrained firms are more sensitive to cash flow sensitivity to investment.

Lensink, der Molen, & Gangopadhyay (2003)

Business group affiliation

Regression with OLS and GMM estimation

The study reports that there is a significantly positive group affiliation effect: stand-alone companies have higher cash flow sensitivities than group affiliates. It also finds that there is a significant impact of firm size on the cash flow sensitivity of firm investment. A larger firm typically has a higher cash flow coefficient. Another result is the effect of a firm’s age: we find some evidence that younger firms have lower cash flow coefficients.

Wang (2003)

Stochastic frontier modelling

Stochastic frontier modelling

Cash flows will not only promote the rate of investment in an environment of financing constraints, but they also has a strong effect on reducing the variance of financing constraints

Almeida, Campello, & Weisbach (2004)

dividend pay-out, size, bond ratings, commercial paper ratings, Kaplan-Zingales index

Ordinary least square regression

Financially constrained firms have higher propensity to retain cash following negative macroeconomic shocks, while unconstrained firms do not show any such relation.

Cleary (2006)

Size, dividend pay-out ratio and Financial status index

Ordinary least square regression and multiple discriminant analysis

The results suggests that the investment decisions of firms with stronger financial positions are much more sensitive to the availability of internal funds than those that are less creditworthy confirming with the results of Kaplan & Zingales, (1995) and Cleary, (1999).

T. M. Whited & Wu (2006)

Synthetic index

Regression with GMM estimator

The study reports evidences that firm-level external finance constraints do indeed represent a source of undiversifiable risk that is priced in financial markets.

Almeida & Campello (2007)

Asset tangibility, dividend pay-out, size, bond ratings, commercial paper ratings

Switching regression and generalized method of moments

The study reports that while asset tangibility increases investment–cash flow sensitivities for financially constrained firms, no such effects are observed for unconstrained firms. It also highlights tangibility of assets influences a firm’s credit status according to theoretical expectations: firms with more tangible assets are less likely to be financially constrained.

Denis & Sibilkov (2010)

Dividend pay-out, firm size, Bond rating, commercial paper rating

Ordinary least square regression

The results indicate that higher cash holdings are associated with higher levels of investment for constrained firms with high hedging needs and that there is a significantly stronger positive association between investment and value for constrained than for unconstrained firm.

Campello, Graham, & Harvey (2010)

Survey data

Ordinary least square regression

The study finds that that financially constrained firms plan to cut more investment, technology, marketing, and employment relative to financially unconstrained firms during the crisis. It also shows that constrained firms are forced to burn a sizeable portion of their cash savings during the crisis and to cut more deeply planned dividend distributions. In contrast, unconstrained firms do not display this behaviour.

Bhaumik et al. (2012)

Stochastic frontier modelling

Stochastic frontier modelling

Financial constraints in India are alleviated by cash flows and (log) assets of firms, and aggravated by a high leverage level. We also find that business groups alleviate credit constraints for member firms, but their ability to do so has declined over time.

Bavarsad et al. (2013)

Kaplan-Zingales Index

Linear regression

Small firms faces more financial constraints than larger firms.

Črnigoj, M., & Verbič, M. (2014)

EBITDA, Interest coverage ratio, Size log (sales) and the level of financial slack

Generalized method of moments and switching regression

During the time of financial crisis in Slovenian firms in 2009 both financially constrained and unconstrained firms were effected but the smaller firms were more affected than middle and large size firms. Financially constrained firms are more cash flow sensitive to investment.

Stucki (2014)

Survey data

Probit model

Firm survival and the achievement of profit break-even are negatively correlated with financial constraints. With increasing firm age, the impact of financial constraints on the survival probability disappears. The negative effect on the probability to achieve profit break-even, however, remains statistically significant.

Ameer (2014)

Q ratio and debt ratio

Panel smooth transition and switching regression

The study suggests that investment is not only sensitive to cash flows but also to business cycle and tangibility of assets for the Asian firms.

  1. The table represents selected studies in chronological order that studies cash flow sensitivity to investment and financial constraints along with the methodology and splitting criteria used for analysis