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Financial distress, financial constraint and investment decision: Evidence from Brazil

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  • Bassetto, Camila F.
  • Kalatzis, Aquiles E.G.

Abstract

This paper analyses the presence of financial constraint in the investment decisions of 367 Brazilian firms from 1997 to 2004, using a Bayesian econometric model with group-varying parameters. The motivation for this paper is the use of clustering techniques to group firms in a totally endogenous form. In order to classify the firms we used a hybrid clustering method, that is, hierarchical and non-hierarchical clustering techniques jointly. To estimate the parameters a Bayesian approach was considered. Prior distributions were assumed for the parameters, classifying the model in random or fixed effects. Ordinate predictive density criterion was used to select the model providing a better prediction. We tested thirty models and the better prediction considers the presence of 2 groups in the sample, assuming the fixed effect model with a Student t distribution with 20 degrees of freedom for the error. The results indicate robustness in the identification of financial constraint when the firms are classified by the clustering techniques.

Suggested Citation

  • Bassetto, Camila F. & Kalatzis, Aquiles E.G., 2011. "Financial distress, financial constraint and investment decision: Evidence from Brazil," Economic Modelling, Elsevier, vol. 28(1-2), pages 264-271, January.
  • Handle: RePEc:eee:ecmode:v:28:y:2011:i:1-2:p:264-271
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    References listed on IDEAS

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    1. Stephen Bond & Costas Meghir, 1994. "Dynamic Investment Models and the Firm's Financial Policy," Review of Economic Studies, Oxford University Press, vol. 61(2), pages 197-222.
    2. Gilchrist, Simon & Himmelberg, Charles P., 1995. "Evidence on the role of cash flow for investment," Journal of Monetary Economics, Elsevier, vol. 36(3), pages 541-572, December.
    3. Steven N. Kaplan & Luigi Zingales, 2000. "Investment-Cash Flow Sensitivities Are Not Valid Measures of Financing Constraints," The Quarterly Journal of Economics, Oxford University Press, vol. 115(2), pages 707-712.
    4. Steven M. Fazzari & R. Glenn Hubbard & Bruce C. Petersen, 1988. "Financing Constraints and Corporate Investment," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 19(1), pages 141-206.
    5. Bhagat, Sanjai & Moyen, Nathalie & Suh, Inchul, 2005. "Investment and internal funds of distressed firms," Journal of Corporate Finance, Elsevier, vol. 11(3), pages 449-472, June.
    6. Kalatzis, Aquiles Elie Guimarães & Azzoni, Carlos Roberto, 2009. "Investment decisions in troubled times: A Bayesian approach applied to Brazilian firms," International Journal of Production Economics, Elsevier, vol. 120(2), pages 595-606, August.
    7. Cleary, Sean & Povel, Paul & Raith, Michael, 2007. "The U-Shaped Investment Curve: Theory and Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 42(01), pages 1-39, March.
    8. Takeo Hoshi & Anil Kashyap & David Scharfstein, 1991. "Corporate Structure, Liquidity, and Investment: Evidence from Japanese Industrial Groups," The Quarterly Journal of Economics, Oxford University Press, vol. 106(1), pages 33-60.
    9. Sean Cleary, 1999. "The Relationship between Firm Investment and Financial Status," Journal of Finance, American Finance Association, vol. 54(2), pages 673-692, April.
    10. Khurana, Inder K. & Martin, Xiumin & Pereira, Raynolde, 2006. "Financial Development and the Cash Flow Sensitivity of Cash," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 41(04), pages 787-808, December.
    11. Aquiles Elie Guimaraes Kalatzis & Carlos Roberto Azzoni & Jorge Alberto Achcar, 2008. "Financial constraints and investment decisions: evidence from a highly unstable emerging economy," Applied Economics, Taylor & Francis Journals, vol. 40(11), pages 1425-1434.
    12. Kajal Lahiri, 2005. "Analysis of Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 1093-1095.
    13. Heitor Almeida & Murillo Campello & Michael S. Weisbach, 2004. "The Cash Flow Sensitivity of Cash," Journal of Finance, American Finance Association, vol. 59(4), pages 1777-1804, August.
    14. Xiaoqiang Hu & Fabio Schiantarelli, 1998. "Investment And Capital Market Imperfections: A Switching Regression Approach Using U.S. Firm Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(3), pages 466-479, August.
    15. Michael Devereux & Fabio Schiantarelli, 1990. "Investment, Financial Factors, and Cash Flow: Evidence from U.K. Panel Data," NBER Chapters,in: Asymmetric Information, Corporate Finance, and Investment, pages 279-306 National Bureau of Economic Research, Inc.
    16. Steven N. Kaplan & Luigi Zingales, 1997. "Do Investment-Cash Flow Sensitivities Provide Useful Measures of Financing Constraints?," The Quarterly Journal of Economics, Oxford University Press, vol. 112(1), pages 169-215.
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    1. repec:eee:ecmode:v:69:y:2018:i:c:p:13-25 is not listed on IDEAS
    2. Crisóstomo, Vicente Lima & López-Iturriaga, Félix Javier & Vallelado González, Eleuterio, 2014. "Nonfinancial companies as large shareholders alleviate financial constraints of Brazilian firm," Emerging Markets Review, Elsevier, vol. 18(C), pages 62-77.
    3. Saltari, E. & Travaglini, G., 2012. "A note on optimal capital stock and financing constraints," Economic Modelling, Elsevier, vol. 29(4), pages 1177-1180.
    4. Li, Hui & Hong, Lu-Yao & He, Jia-Xun & Xu, Xuan-Guo & Sun, Jie, 2013. "Small sample-oriented case-based kernel predictive modeling and its economic forecasting applications under n-splits-k-times hold-out assessment," Economic Modelling, Elsevier, vol. 33(C), pages 747-761.
    5. repec:eee:ecmode:v:64:y:2017:i:c:p:20-25 is not listed on IDEAS

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