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The effects of financial distress: Evidence from US GDP growth

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  • Inekwe, John Nkwoma
  • Jin, Yi
  • Valenzuela, Ma. Rebecca

Abstract

This study provides a dynamic characterization of the link between financial distress risk and the real economy. Using a large dataset of firm-level observations, new ex-ante measures of financial distress are developed at the sector level and used to examine growth trends in the US economy. More specifically, we develop a comprehensive set-up for predicting ex-ante financial distress risk, then examine the effects of ex-ante financial distress risk on GDP growth. Our results show that over the period of 1970–2012, ex-ante financial distress risk contracts GDP growth by up to 9 per cent. The results also reveal greater contractions in exports and investment. The results remain unchanged when internal and external instruments are used to address endogeneity issues.

Suggested Citation

  • Inekwe, John Nkwoma & Jin, Yi & Valenzuela, Ma. Rebecca, 2018. "The effects of financial distress: Evidence from US GDP growth," Economic Modelling, Elsevier, vol. 72(C), pages 8-21.
  • Handle: RePEc:eee:ecmode:v:72:y:2018:i:c:p:8-21
    DOI: 10.1016/j.econmod.2018.01.001
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    References listed on IDEAS

    as
    1. repec:taf:jnlbes:v:30:y:2012:i:1:p:67-80 is not listed on IDEAS
    2. Trew, Alex, 2014. "Finance And Balanced Growth," Macroeconomic Dynamics, Cambridge University Press, vol. 18(4), pages 883-898, June.
    3. Kleibergen, Frank & Paap, Richard, 2006. "Generalized reduced rank tests using the singular value decomposition," Journal of Econometrics, Elsevier, vol. 133(1), pages 97-126, July.
    4. André Lucas & Siem Jan Koopman, 2005. "Business and default cycles for credit risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 311-323.
    5. Bernanke, Ben & Gertler, Mark & Gilchrist, Simon, 1996. "The Financial Accelerator and the Flight to Quality," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 1-15, February.
    6. Leslie S. Stratton, 2012. "The Role of Preferences and Opportunity Costs in Determining the Time Allocated to Housework," American Economic Review, American Economic Association, vol. 102(3), pages 606-611, May.
    7. Zheng Liu & Pengfei Wang & Tao Zha, 2009. "Do credit constraints amplify macroeconomic fluctuations?," Working Paper Series 2009-28, Federal Reserve Bank of San Francisco.
    8. Maurice Obstfeld, 2009. "International Finance and Growth in Developing Countries: What Have We Learned?," IMF Staff Papers, Palgrave Macmillan, vol. 56(1), pages 63-111, April.
    9. Ian Christensen & Ali Dib, 2008. "The Financial Accelerator in an Estimated New Keynesian Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(1), pages 155-178, January.
    10. Lyandres, Evgeny & Zhdanov, Alexei, 2013. "Investment opportunities and bankruptcy prediction," Journal of Financial Markets, Elsevier, vol. 16(3), pages 439-476.
    11. Vincenzo Quadrini, 2011. "Financial frictions in macroeconomic fluctations," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 97(3Q), pages 209-254.
    12. Karfakis, Costas, 2013. "Credit and business cycles in Greece: Is there any relationship?," Economic Modelling, Elsevier, vol. 32(C), pages 23-29.
    13. Victor Zarnowitz & James H. Stock (ary), 1992. "What is a business cycle?," Proceedings, Federal Reserve Bank of St. Louis, pages 3-83.
    14. Hernandez Tinoco, Mario & Wilson, Nick, 2013. "Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 394-419.
    15. Paul Asquith & Robert Gertner & David Scharfstein, 1994. "Anatomy of Financial Distress: An Examination of Junk-Bond Issuers," The Quarterly Journal of Economics, Oxford University Press, vol. 109(3), pages 625-658.
    16. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    17. Bernanke, Ben S. & Gertler, Mark & Gilchrist, Simon, 1999. "The financial accelerator in a quantitative business cycle framework," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 21, pages 1341-1393, Elsevier.
    18. Carlstrom, Charles T & Fuerst, Timothy S, 1997. "Agency Costs, Net Worth, and Business Fluctuations: A Computable General Equilibrium Analysis," American Economic Review, American Economic Association, vol. 87(5), pages 893-910, December.
    19. Agénor, Pierre-Richard & Bratsiotis, George J. & Pfajfar, Damjan, 2014. "Credit Frictions, Collateral, And The Cyclical Behavior Of The Finance Premium," Macroeconomic Dynamics, Cambridge University Press, vol. 18(5), pages 985-997, July.
    20. Giesecke, Kay & Longstaff, Francis A. & Schaefer, Stephen & Strebulaev, Ilya A., 2014. "Macroeconomic effects of corporate default crisis: A long-term perspective," Journal of Financial Economics, Elsevier, vol. 111(2), pages 297-310.
    21. Robert E. Hall, 2011. "The High Sensitivity of Economic Activity to Financial Frictions," Economic Journal, Royal Economic Society, vol. 121(552), pages 351-378, May.
    22. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    23. Zhixiong Zeng, 2013. "A theory of the non-neutrality of money with banking frictions and bank recapitalization," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 52(2), pages 729-754, March.
    24. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    25. Urban Jermann & Vincenzo Quadrini, 2012. "Erratum: Macroeconomic Effects of Financial Shocks," American Economic Review, American Economic Association, vol. 102(2), pages 1186-1186, April.
    26. Getachew, Yoseph Yilma, 2016. "Credit constraints, growth and inequality dynamics," Economic Modelling, Elsevier, vol. 54(C), pages 364-376.
    27. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    28. Zmijewski, Me, 1984. "Methodological Issues Related To The Estimation Of Financial Distress Prediction Models," Journal of Accounting Research, Wiley Blackwell, vol. 22, pages 59-82.
    29. Bernanke, Ben & Gertler, Mark, 1989. "Agency Costs, Net Worth, and Business Fluctuations," American Economic Review, American Economic Association, vol. 79(1), pages 14-31, March.
    30. Pagan, Adrian & Robinson, Tim, 2014. "Methods for assessing the impact of financial effects on business cycles in macroeconometric models," Journal of Macroeconomics, Elsevier, vol. 41(C), pages 94-106.
    31. Bernanke, Ben S, 1983. "Nonmonetary Effects of the Financial Crisis in Propagation of the Great Depression," American Economic Review, American Economic Association, vol. 73(3), pages 257-276, June.
    32. Enrique G. Mendoza, 2010. "Sudden Stops, Financial Crises, and Leverage," American Economic Review, American Economic Association, vol. 100(5), pages 1941-1966, December.
    33. Linda Allen & Turan G. Bali & Yi Tang, 2012. "Does Systemic Risk in the Financial Sector Predict Future Economic Downturns?," Review of Financial Studies, Society for Financial Studies, vol. 25(10), pages 3000-3036.
    34. Law, Siong Hook & Singh, Nirvikar, 2014. "Does too much finance harm economic growth?," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 36-44.
    35. Maurice Obstfeld, 2009. "International Finance and Growth in Developing Countries: What Have We Learned?," NBER Working Papers 14691, National Bureau of Economic Research, Inc.
    36. Urban Jermann & Vincenzo Quadrini, 2012. "Macroeconomic Effects of Financial Shocks," American Economic Review, American Economic Association, vol. 102(1), pages 238-271, February.
    37. repec:fip:fedreq:y:2011:i:3q:p:209-254:n:vol.97no.3 is not listed on IDEAS
    38. Altman, Edward I, 1984. "A Further Empirical Investigation of the Bankruptcy Cost Question," Journal of Finance, American Finance Association, vol. 39(4), pages 1067-1089, September.
    39. David Roodman, 2011. "Fitting fully observed recursive mixed-process models with cmp," Stata Journal, StataCorp LP, vol. 11(2), pages 159-206, June.
    40. Agarwal, Vineet & Taffler, Richard, 2008. "Comparing the performance of market-based and accounting-based bankruptcy prediction models," Journal of Banking & Finance, Elsevier, vol. 32(8), pages 1541-1551, August.
    41. Wilde, Joachim, 2000. "Identification of multiple equation probit models with endogenous dummy regressors," Economics Letters, Elsevier, vol. 69(3), pages 309-312, December.
    42. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    43. Menyah, Kojo & Nazlioglu, Saban & Wolde-Rufael, Yemane, 2014. "Financial development, trade openness and economic growth in African countries: New insights from a panel causality approach," Economic Modelling, Elsevier, vol. 37(C), pages 386-394.
    44. Hansen, Lars Peter & Heaton, John & Yaron, Amir, 1996. "Finite-Sample Properties of Some Alternative GMM Estimators," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 262-280, July.
    45. Opler, Tim C & Titman, Sheridan, 1994. "Financial Distress and Corporate Performance," Journal of Finance, American Finance Association, vol. 49(3), pages 1015-1040, July.
    46. Jin, Yi & Zeng, Zhixiong, 2014. "Banking risk and macroeconomic fluctuations," Journal of Banking & Finance, Elsevier, vol. 48(C), pages 350-360.
    47. Yang Yao & Muyang Zhang, 2015. "Subnational leaders and economic growth: evidence from Chinese cities," Journal of Economic Growth, Springer, vol. 20(4), pages 405-436, December.
    48. Altman, Edward I. & Haldeman, Robert G. & Narayanan, P., 1977. "ZETATM analysis A new model to identify bankruptcy risk of corporations," Journal of Banking & Finance, Elsevier, vol. 1(1), pages 29-54, June.
    49. Ed Nosal, 1998. "Financial Distress and Underemployment," Review of Economic Studies, Oxford University Press, vol. 65(4), pages 817-845.
    50. Bartram, Söhnke M. & Brown, Gregory W. & Waller, William, 2015. "How Important Is Financial Risk?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 50(4), pages 801-824, August.
    51. Shumway, Tyler, 2001. "Forecasting Bankruptcy More Accurately: A Simple Hazard Model," The Journal of Business, University of Chicago Press, vol. 74(1), pages 101-124, January.
    52. Brzoza-Brzezina, Michał & Kolasa, Marcin & Makarski, Krzysztof, 2013. "The anatomy of standard DSGE models with financial frictions," Journal of Economic Dynamics and Control, Elsevier, vol. 37(1), pages 32-51.
    53. Pindado, Julio & Rodrigues, Luis & de la Torre, Chabela, 2008. "Estimating financial distress likelihood," Journal of Business Research, Elsevier, vol. 61(9), pages 995-1003, September.
    54. John Nkwoma Inekwe, 2016. "Financial Distress, Employees’ Welfare and Entrepreneurship Among SMEs," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(3), pages 1135-1153, December.
    55. G. S. Maddala & Lung-Fei Lee, 1976. "Recursive Models with Qualitative Endogenous Variables," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 525-545, National Bureau of Economic Research, Inc.
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    More about this item

    Keywords

    Financial distress; Risk; Growth;
    All these keywords.

    JEL classification:

    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

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