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Macroeconomic conditions, corporate default, and default clustering

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  • Xing, Kai
  • Luo, Dan
  • Liu, Lanlan

Abstract

This study investigates how, and to what extent, macroeconomic conditions interact with corporate default in the US industrial sector from 1980 to 2014. Using an extensive data set of macro-level and micro-level variables, we construct five categories of indicators and measure macroeconomic conditions by investigating the co-movements within each category of indicator. We find macroeconomic conditions have bidirectional causal interaction with corporate defaults across different economic regimes, reflecting the existence of feedback causality. Moreover, we show that macroeconomic indicator constructed using the least absolute shrinkage and selection operator (LASSO) approach shows superior explanatory power as well as predictive power for default clustering, indicating that movements of these indicators cause correlated changes in firms' default rates. Overall, our study provides support for literature on default probability estimation from a macroeconomic perspective.

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  • Xing, Kai & Luo, Dan & Liu, Lanlan, 2023. "Macroeconomic conditions, corporate default, and default clustering," Economic Modelling, Elsevier, vol. 118(C).
  • Handle: RePEc:eee:ecmode:v:118:y:2023:i:c:s0264999322003169
    DOI: 10.1016/j.econmod.2022.106079
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    as
    1. Duffie, Darrell & Saita, Leandro & Wang, Ke, 2007. "Multi-period corporate default prediction with stochastic covariates," Journal of Financial Economics, Elsevier, vol. 83(3), pages 635-665, March.
    2. Darrell Duffie & Andreas Eckner & Guillaume Horel & Leandro Saita, 2009. "Frailty Correlated Default," Journal of Finance, American Finance Association, vol. 64(5), pages 2089-2123, October.
    3. Koopman, Siem Jan & Kräussl, Roman & Lucas, André & Monteiro, André B., 2009. "Credit cycles and macro fundamentals," Journal of Empirical Finance, Elsevier, vol. 16(1), pages 42-54, January.
    4. Hackbarth, Dirk & Miao, Jianjun & Morellec, Erwan, 2006. "Capital structure, credit risk, and macroeconomic conditions," Journal of Financial Economics, Elsevier, vol. 82(3), pages 519-550, December.
    5. Xing, Kai & Yang, Xiaoguang, 2019. "How to detect crashes before they burst: Evidence from Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 528(C).
    6. 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.
    7. Black, Fischer & Cox, John C, 1976. "Valuing Corporate Securities: Some Effects of Bond Indenture Provisions," Journal of Finance, American Finance Association, vol. 31(2), pages 351-367, May.
    8. Christian Gouriéroux & Alain Monfort & Sarah Mouabbi & Jean-Paul Renne, 2021. "Disastrous Defaults [Risk premia and term premia in general equilibrium]," Review of Finance, European Finance Association, vol. 25(6), pages 1727-1772.
    9. Hui Chen, 2010. "Macroeconomic Conditions and the Puzzles of Credit Spreads and Capital Structure," Journal of Finance, American Finance Association, vol. 65(6), pages 2171-2212, December.
    10. Jordan, Bradford D & Jordan, Susan D, 1997. "Special Repo Rates: An Empirical Analysis," Journal of Finance, American Finance Association, vol. 52(5), pages 2051-2072, December.
    11. Azizpour, S & Giesecke, K. & Schwenkler, G., 2018. "Exploring the sources of default clustering," Journal of Financial Economics, Elsevier, vol. 129(1), pages 154-183.
    12. Nazemi, Abdolreza & Fabozzi, Frank J., 2018. "Macroeconomic variable selection for creditor recovery rates," Journal of Banking & Finance, Elsevier, vol. 89(C), pages 14-25.
    13. 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.
    14. Li, Chunyu & Lou, Chenxin & Luo, Dan & Xing, Kai, 2021. "Chinese corporate distress prediction using LASSO: The role of earnings management," International Review of Financial Analysis, Elsevier, vol. 76(C).
    15. 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.
    16. Kevin L. Kliesen, 2003. "The 2001 recession: how was it different and what developments may have caused it?," Review, Federal Reserve Bank of St. Louis, vol. 85(Sep), pages 23-38.
    17. 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.
    18. Victor Zarnowitz, 1992. "Business Cycles: Theory, History, Indicators, and Forecasting," NBER Books, National Bureau of Economic Research, Inc, number zarn92-1.
    19. Urban Jermann & Vincenzo Quadrini, 2012. "Erratum: Macroeconomic Effects of Financial Shocks," American Economic Review, American Economic Association, vol. 102(2), pages 1186-1186, April.
    20. Hwang, Youngjin, 2019. "Forecasting recessions with time-varying models," Journal of Macroeconomics, Elsevier, vol. 62(C).
    21. Victor Zarnowitz, 1992. "Major Macroeconomic Variables and Leading Indexes," NBER Chapters, in: Business Cycles: Theory, History, Indicators, and Forecasting, pages 357-382, National Bureau of Economic Research, Inc.
    22. Dirk Helbing, 2013. "Globally networked risks and how to respond," Nature, Nature, vol. 497(7447), pages 51-59, May.
    23. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
    24. Leland, Hayne E & Toft, Klaus Bjerre, 1996. "Optimal Capital Structure, Endogenous Bankruptcy, and the Term Structure of Credit Spreads," Journal of Finance, American Finance Association, vol. 51(3), pages 987-1019, July.
    25. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    26. Tong Suk Kim & Jae Won Park & Yuen Jung Park, 2017. "Macroeconomic Conditions and Credit Default Swap Spread Changes," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(8), pages 766-802, August.
    27. Young Ho Eom, 2004. "Structural Models of Corporate Bond Pricing: An Empirical Analysis," The Review of Financial Studies, Society for Financial Studies, vol. 17(2), pages 499-544.
    28. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    29. Cars Hommes, 2021. "Behavioral and Experimental Macroeconomics and Policy Analysis: A Complex Systems Approach," Journal of Economic Literature, American Economic Association, vol. 59(1), pages 149-219, March.
    30. Sanjiv R. Das & Darrell Duffie & Nikunj Kapadia & Leandro Saita, 2007. "Common Failings: How Corporate Defaults Are Correlated," Journal of Finance, American Finance Association, vol. 62(1), pages 93-117, February.
    31. Hao Xiao & Shujin Zhu & Lafang Wang, 2009. "Will the financial crisis become the turning point for China's auto industry? A dynamic computable general equilibrium analysis with imperfect competition," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 7(4), pages 477-497.
    32. Tor Jacobson & Jesper Lindé & Kasper Roszbach, 2013. "Firm Default And Aggregate Fluctuations," Journal of the European Economic Association, European Economic Association, vol. 11(4), pages 945-972, August.
    33. Urban Jermann & Vincenzo Quadrini, 2012. "Macroeconomic Effects of Financial Shocks," American Economic Review, American Economic Association, vol. 102(1), pages 238-271, February.
    34. Xing, Kai & Yang, Xiaoguang, 2020. "Predicting default rates by capturing critical transitions in the macroeconomic system," Finance Research Letters, Elsevier, vol. 32(C).
    35. Gertler, Mark L., 1981. "Long-term contracts, imperfect information, and monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 3(1), pages 197-216, November.
    36. Lando, David & Nielsen, Mads Stenbo, 2010. "Correlation in corporate defaults: Contagion or conditional independence?," Journal of Financial Intermediation, Elsevier, vol. 19(3), pages 355-372, July.
    37. Ben S. Bernanke, 1993. "Credit in the macroeconomy," Quarterly Review, Federal Reserve Bank of New York, vol. 18(Spr), pages 50-70.
    38. Cees Diks & Cars Hommes & Juanxi Wang, 2019. "Critical slowing down as an early warning signal for financial crises?," Empirical Economics, Springer, vol. 57(4), pages 1201-1228, October.
    39. Frederic S. Mishkin, 1995. "Symposium on the Monetary Transmission Mechanism," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 3-10, Fall.
    40. Sudheer Chava & Robert A. Jarrow, 2008. "Bankruptcy Prediction with Industry Effects," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 21, pages 517-549, World Scientific Publishing Co. Pte. Ltd..
    41. Bose, Udichibarna & Filomeni, Stefano & Mallick, Sushanta, 2021. "Does bankruptcy law improve the fate of distressed firms? The role of credit channels," Journal of Corporate Finance, Elsevier, vol. 68(C).
    42. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    43. Koopman, Siem Jan & Lucas, André & Schwaab, Bernd, 2011. "Modeling frailty-correlated defaults using many macroeconomic covariates," Journal of Econometrics, Elsevier, vol. 162(2), pages 312-325, June.
    44. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    45. Tian, Shaonan & Yu, Yan & Guo, Hui, 2015. "Variable selection and corporate bankruptcy forecasts," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 89-100.
    46. Viral V. Acharya & Jennifer N. Carpenter, 2002. "Corporate Bond Valuation and Hedging with Stochastic Interest Rates and Endogenous Bankruptcy," The Review of Financial Studies, Society for Financial Studies, vol. 15(5), pages 1355-1383.
    47. Crouhy, Michel & Galai, Dan & Mark, Robert, 2000. "A comparative analysis of current credit risk models," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 59-117, January.
    48. Bhamra, Harjoat S. & Fisher, Adlai J. & Kuehn, Lars-Alexander, 2011. "Monetary policy and corporate default," Journal of Monetary Economics, Elsevier, vol. 58(5), pages 480-494.
    49. Narayan, Seema & Bui, Minh Ngoc Thi & Ren, Yishuai & Ma, Chaoqun, 2021. "Macroeconomic determinants of US corporate leverage," Economic Modelling, Elsevier, vol. 104(C).
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    More about this item

    Keywords

    Macroeconomic conditions; Macro indicator; Corporate default; Default clustering; Default prediction;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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