The Impact of Stock Price Crash Risk on the Cost of Capital: Empirical Study from China


  • Muhammad Hamza Khan Department of Management Sciences, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan
  • Muhammad Rizwan Department of Management Sciences, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan



Stock price crash risk, Cost of capital, Cost of debt, Cost of equity, State-owned enterprise, Non-state-owned enterprise, China


This study analysed the effect of Sock Price Crash Risk (SPCR) on the cost of capital in Chinese listed firms in the Shenzhen stock exchange and the shanghai Stock Exchange. A sample of 290 firms based on the highest value of assets of each firm was used. The cost of capital consists of two factors; the cost of equity (COE) and the cost of debt (COD). The SPCR is measured by using two statistics, one is NCSKEW means the negative coefficient of skewness of the firm-specific weekly returns and the second is DUVOL that means Down to-Up Volatility used to measure the crash likelihood weekly return of firm-specific and used the Modified PEG ratio model of Eston approach to measuring the cost of equity. We used panel data to run the regression model analyses. SPCR was found to have a significantly positive relationship with the cost of equity and cost of debt. Also, the sample was divided into the State-Owned enterprise (SOEs) and Non-State-Owned enterprises (NSOEs) for comparison. The results show that the impact of SPCR on the COE and COD is stronger in SOEs than NSOEs. The regulators need to improve and strengthen the development of laws and regulations related to company information disclosure, to reduce the cost of capital of listed companies and improve the efficiency of financing the Chinese capital market. Companies need to work together to strengthen internal controls, create a good disclosure environment, and prevent the SPCR.


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How to Cite

Khan, M. H. and Rizwan, M. (2021) “The Impact of Stock Price Crash Risk on the Cost of Capital: Empirical Study from China”, Journal of Economic Impact, 3(2), pp. 88–97. doi: 10.52223/jei30221034.



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