Skip to main content
Log in

How Does Debt Structure Influence Stock Price Crash Risk?

  • Published:
Journal of Systems Science and Complexity Aims and scope Submit manuscript

Abstract

This paper uses the financial data of Chinese listed firms to explore the relationship between the debt structure, which is measured as the ratio of trade credit to bank loan, and future stock price crash risk. The empirical results show that the ratio of trade credit to bank loan is positively associated with the firm-specific crash risk while a good institutional environment reduces this positive relationship. In addition, considering the firm’s ownership type, the authors find that the positive relationship between the debt structure and crash risk is more significant in the SOEs.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Jin L and Myers C S, R2 around the world: New theory and new tests, Journal of Financial Economics, 2006, 79(2): 257–292.

    Article  Google Scholar 

  2. Hutton A P, Marcus A J, Tehranian H. Opaque financial reports, R2, and crash risk, Journal of Financial Economics, 2009, 94(1): 67–86.

    Article  Google Scholar 

  3. Kim J B, Li Y, and Zhang L, Corporate tax avoidance and stock price crash risk: Firm-level analysis, Journal of Financial Economics, 2011, 100(3): 639–662.

    Article  Google Scholar 

  4. Kim J B, Li Y, and Zhang L, CFOs versus CEOs: Equity incentives and crashes, Journal of Financial Economics, 2011, 101(3): 713–730.

    Article  Google Scholar 

  5. Xu N H, Li X R, Yuan Q B, et al., Excess perks and stock price crash risk: Evidence from China, Journal of Corporate Finance, 2014, 25: 419–434.

    Article  Google Scholar 

  6. Jensen M C, Agency cost of free cash flow, corporate finance, and takeovers, American Economic Review, 1986, 76(2): 323–329.

    Google Scholar 

  7. Li L, Dong F Y, Liu Y F, et al., The effect of corporate governance on debt financing cost of listed companies, Journal of Systems Science and Complexity, 2016, 29(3): 772–788.

    Article  MATH  Google Scholar 

  8. Bailey W, Huang W, and Yang Z, Bank loans with Chinese characteristics: Some evidence on inside debt in a state-controlled banking system, Journal of Financial and Quantitative Analysis, 2011, 46(6): 1795–1830.

    Article  Google Scholar 

  9. Wu W F, Rui O M, and Wu C F, Trade credit, cash holdings, and financial deepening: Evidence from a transitional economy, Journal of Banking & Finance, 2012, 36(11): 2868–2883.

    Google Scholar 

  10. Allen F, Qian J, and Qian M, Law, finance and economic growth in China, Journal of Financial Economics, 2005, 77(1): 57–116.

    Article  Google Scholar 

  11. Brandt L and Li H, Bank discrimination in transition economies: Ideology, information, or incentives?, Journal of Comparative Economics, 2003, 31: 387–413.

    Article  Google Scholar 

  12. Pennacchi G G, Loan sales and the cost of bank capital, The Journal of Finance, 1988, 43(2): 375–396.

    Article  Google Scholar 

  13. Rajan R and Winton A, Covenants and collateral as incentives to monitor, The Journal of Finance, 1995, 50(4): 1113–1146.

    Article  Google Scholar 

  14. Jensen M C and Meckling W H, Theory of the firm: Managerial behavior, agency costs and ownership structure, Journal of Financial Economics, 1976, 3(4): 305–360.

    Article  Google Scholar 

  15. Diamond D W, Financial intermediation and delegated monitoring, Review of Economic Studies, 1984, 51(3): 393–414.

    Article  MathSciNet  MATH  Google Scholar 

  16. Byers S S, Paige Field L, and Fraser D R, Are corporate governance and bank monitoring substitutes: Evidence from the perceived value of bank loans, Journal of Corporate Finance, 2008, 14: 475–483.

    Article  Google Scholar 

  17. Petersen M A and Rajan R G, Trade credit: Theories and evidence, Review of Financial Studies, 1997, 10(3): 661–691.

    Article  Google Scholar 

  18. Stulz R, Managerial discretion and optimal financing policies, Journal of Financial Economics, 1990, 26(1): 3–27.

    Article  Google Scholar 

  19. Fama E, What’s different about banks?, Journal of Monetary Economics, 1985, 15(1): 29–39.

    Article  Google Scholar 

  20. Danielson M G and Scott J A, Bank loan availability and trade credit demand, The Financial Review, 2004, 39: 579–600.

    Article  Google Scholar 

  21. Rajan R G, Insiders and outsiders: The choice between informed and arm’s-length debt, Journal of Finance, 1992, 47(4): 1367–1400.

    Article  Google Scholar 

  22. Park C, Monitoring and structure of debt contracts, Journal of Finance, 2000, 55(5): 2157–2195.

    Article  Google Scholar 

  23. Fabbri D and Menichini A M C, Trade credit, collateral liquidation, and borrowing constraints, Journal of Financial Economics, 2010, 96(3): 413–432.

    Article  Google Scholar 

  24. La Porta R, López-de-Silanes F, Shleifer A, et al., Law and finance, Journal of Political Economy, 1998, 106(6): 1113–1155.

    Article  Google Scholar 

  25. Giannetti M, Do better institutions mitigate agency problems? Evidence from corporate finance choices, Journal of Financial and Quantitative Analysis, 2003, 38(1): 185–212.

    Article  Google Scholar 

  26. Demurger S, Infrastructure development and economic growth: An explanation for regional disparities in China?, Journal of Comparative Economics, 2001, 29(1): 95–117.

    Article  Google Scholar 

  27. Nilsen J H, Trade credit and the bank lending channel, Working Paper, 1999, Available at SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=762468.

    Google Scholar 

  28. Nilsen J H, Trade credit and the bank lending channel, Working Paper, 1999.

    Google Scholar 

  29. Ferris J S, A transactions theory of trade credit use, The Quarterly Journal of Economics, 1981, 96(2): 243–270.

    Article  Google Scholar 

  30. Van Horen N, Trade credit as a competitiveness tool: Evidence from developing countries, Working Paper, 2005, Available at SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=562410.

    Google Scholar 

  31. Van Horen N, Customer market power and the provision of trade credit: Evidence from eastern Europe and central Asia, Working Paper, 2007, Available at World Bank eLibrary: http://elibrary.worldbank.org/doi/abs/10.1596/1813-9450-4284.

    Book  Google Scholar 

  32. Cull R and Xu L C, Who gets credits? The behavior of bureaucrats and state banks in allocating credit to Chinese state-owned enterprises, Journal of Development Economics, 2003, 71(2): 533–559.

    Article  Google Scholar 

  33. Liu X F, Zhang W, Xiong X, et al., Credit rationing and the simulation of bank-small and medium sized firm artificial credit market, Journal of Systems Science and Complexity, 2016, 29(4): 991–1017.

    Article  MathSciNet  Google Scholar 

  34. Dimson E, Risk measurement when shares are subject to infrequent trading, Journal of Financial Economics, 1979, 7(2): 197–226.

    Article  Google Scholar 

  35. Chen J, Hong H, and Stein J, Forecasting crashes: Trading volume, past returns, and conditional skewness in stock prices, Journal of Financial Economics, 2001, 61(3): 345–381.

    Article  Google Scholar 

  36. Ge Y and Qiu J, Financial development, bank discrimination and trade credit, Journal of Banking and Finance, 2007, 31: 513–530.

    Article  Google Scholar 

  37. Fisman R and Love I, Trade credit, financial intermediary development, and industry growth, The Journal of Finance, 2003, 58(1): 353–374.

    Article  Google Scholar 

  38. Love I, Preve L A, and Sarria-Allende V, Trade credit and bank credit: Evidence from recent financial crises, Journal of Financial Economics, 2007, 83(2): 453–469.

    Article  Google Scholar 

  39. Dechow P M, Sloan R G, and Sweeney A P, Detecting earnings management, The Accounting Review, 1995, 70(2): 193–225.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lu Deng.

Additional information

This research was supported by the National Natural Science Foundation of China under Grant No. 71572007, the Humanities and Social Sciences Project of Ministry of Education under Grant No. 15YJC630042.

This paper was recommended for publication by Editor WANG Shouyang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jia, Z., Deng, L. & Xu, R. How Does Debt Structure Influence Stock Price Crash Risk?. J Syst Sci Complex 31, 473–492 (2018). https://doi.org/10.1007/s11424-016-6105-1

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11424-016-6105-1

Keywords

Navigation