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Market Responses to Financial Distress: A Comparative Study of the U.S. and Chinese Markets

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  • Mohamed Salah Elzalabany

    (School of Banking and Finance, University of International Business and Economics, Beijing, China.)

Abstract

The performance of financially distressed firms has become a primary concern for investors, who prioritize market stability and seek to mitigate investment risks. Consequently, the ability to predict stock failures and assess financial distress is crucial for informed decision-making. This study examines the impact of financial distress on stock returns while accounting for key control variables, including firm size, the book-to-market equity (BE/ME) ratio, and overall market return. To evaluate corporate financial distress and its influence on stock performance, this research employs the Altman Z-score model within two of the world’s largest economies: the United States and China. The analysis is based on two distinct samples covering multiple sectors from 2013 to 2022. The empirical methodology is structured in two stages. First, the Altman Z-score model is applied to assess financial distress and compare trends across the two markets. Second, a panel data regression model is utilized to examine the extent to which financial distress influences variations in stock returns. The findings indicate a positive and statistically significant relationship between the Z-score and stock returns in both markets, underscoring the predictive power of financial distress indicators in explaining stock return variations across different economic environments.

Suggested Citation

  • Mohamed Salah Elzalabany, 2025. "Market Responses to Financial Distress: A Comparative Study of the U.S. and Chinese Markets," International Journal of Science and Business, IJSAB International, vol. 45(1), pages 14-29.
    • Handle: RePEc:aif:journl:v:45:y:2025:i:1:p:14-29
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    References listed on IDEAS

    as
    1. repec:bla:jfinan:v:53:y:1998:i:3:p:1131-1147 is not listed on IDEAS
    2. Anthony, Joseph H. & Ramesh, K., 1992. "Association between accounting performance measures and stock prices : A test of the life cycle hypothesis," Journal of Accounting and Economics, Elsevier, vol. 15(2-3), pages 203-227, August.
    3. Dan Givoly & Carla Hayn & Sharon Katz, 2017. "The changing relevance of accounting information to debt holders over time," Review of Accounting Studies, Springer, vol. 22(1), pages 64-108, March.
    4. Altman, Edward I., 1977. "Predicting performance in the savings and loan association industry," Journal of Monetary Economics, Elsevier, vol. 3(4), pages 443-466, October.
    5. Sudheer Chava & Amiyatosh Purnanandam, 2010. "Is Default Risk Negatively Related to Stock Returns?," The Review of Financial Studies, Society for Financial Studies, vol. 23(6), pages 2523-2559, June.
    6. Balcaen, Sofie & Ooghe, Hubert, 2006. "35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems," The British Accounting Review, Elsevier, vol. 38(1), pages 63-93.
    7. Wruck, Karen Hopper, 1990. "Financial distress, reorganization, and organizational efficiency," Journal of Financial Economics, Elsevier, vol. 27(2), pages 419-444, October.
    8. 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.
    9. Beynon, Malcolm J. & Peel, Michael J., 2001. "Variable precision rough set theory and data discretisation: an application to corporate failure prediction," Omega, Elsevier, vol. 29(6), pages 561-576, December.
    10. 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.
    11. Richard Whitaker, 1999. "The early stages of financial distress," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 23(2), pages 123-132, June.
    12. John Y. Campbell & Jens Hilscher & Jan Szilagyi, 2008. "In Search of Distress Risk," Journal of Finance, American Finance Association, vol. 63(6), pages 2899-2939, December.
    13. Sui, Lu & Sun, Lijuan, 2016. "Spillover effects between exchange rates and stock prices: Evidence from BRICS around the recent global financial crisis," Research in International Business and Finance, Elsevier, vol. 36(C), pages 459-471.
    14. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 4, pages 123-127.
    15. Hasan, Mostafa Monzur & Hossain, Mahmud & Cheung, Adrian (Wai-Kong) & Habib, Ahsan, 2015. "Corporate life cycle and cost of equity capital," Journal of Contemporary Accounting and Economics, Elsevier, vol. 11(1), pages 46-60.
    16. Pengjie Gao & Christopher A. Parsons & Jianfeng Shen, 2018. "Global Relation between Financial Distress and Equity Returns," The Review of Financial Studies, Society for Financial Studies, vol. 31(1), pages 239-277.
    17. George, Thomas J. & Hwang, Chuan-Yang, 2010. "A resolution of the distress risk and leverage puzzles in the cross section of stock returns," Journal of Financial Economics, Elsevier, vol. 96(1), pages 56-79, April.
    18. William F. Messier, Jr. & James V. Hansen, 1988. "Inducing Rules for Expert System Development: An Example Using Default and Bankruptcy Data," Management Science, INFORMS, vol. 34(12), pages 1403-1415, December.
    19. Johnson, T.C. & Chebonenko, T. & Cunha, I. & D'Almeida, F. & Spencer, X., 2011. "Endogenous leverage and expected stock returns," Finance Research Letters, Elsevier, vol. 8(3), pages 132-145, September.
    20. Khaira Amalia Fachrudin & M. Fikri Ihsan, 2021. "The Effect of Financial Distress Probability, Firm Size and Liquidity on Stock Return of Energy Users Companies in Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 296-300.
    21. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 4, pages 71-111.
    22. repec:bla:jfinan:v:53:y:1998:i:5:p:1443-1493 is not listed on IDEAS
    23. repec:eme:mfppss:03074350110767123 is not listed on IDEAS
    24. Danny Miller & Peter H. Friesen, 1984. "A Longitudinal Study of the Corporate Life Cycle," Management Science, INFORMS, vol. 30(10), pages 1161-1183, October.
    25. Yehning Chen & J. Fred Weston & Edward I. Altman, 1995. "Financial Distress and Restructuring Models," Financial Management, Financial Management Association, vol. 24(2), Summer.
    26. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 18(1), pages 109-131.
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