Abstract

The study examined effect of drawdown on return in the Nigerian stock market. The study covered the period of 2005 to 2020. Purposive sampling was employed and the sample size comprising 90 regularly traded stocks were used for the analysis. Monthly data sourced from the CBN statistical bulletin and Nigeria Stock Exchange on stock prices, market index, risk-free rate ownership shareholdings, market capitalization, book value of equity, earnings before interest and taxes, total assets and drawdown were used for study. The Fama-MacBeth two-step regression method was employed. The study found that the drawdown has a negative and significant effect on stock returns but has a positive and significant effect on risk in the Nigerian stock market over the whole sample period. Findings also revealed that the sub-period are not stable in terms of the magnitude of effect and significance on risk and return. Our findings contradict the a-priori expectation that drawdown could improve performance through risk minimization and return maximization in the Nigerian stock market. Based on the findings investors and other market participant are encouraged to use drawdown as one of the investment performance measures to guide investors’ expectation and their tolerance on the size of stock market disruption or crashes or rallies in Nigeria.

Keywords: drawdown, risk premium, return, volatility, positive news, negative news.

JEL Classification: G11, G12.

Cite as: Adaramola, A. O. and Oyedeko, Y.O. (2022). Effect of Drawdown Strategy on Risk and Return in Nigerian Stock Market. Financial Markets, Institutions and Risks, 6(3), 71-82. https://doi.org/10.21272/fmir.6(3).71-82.2022

This work is licensed under a Creative Commons Attribution 4.0 International License

References

1. Almahdi, S., & Yang, S. Y. (2017). An adaptive portfolio trading system: A risk-return portfolio optimisation using recurrent reinforcement learning with expected maximum drawdown. Expert Systems with Applications, 87, 267–279. [CrossRef]
2. Alrabadi, D. W. H., Alwaked, A. A., Al-Qadi, N. S. & Bakhit, I. A. (2022). Downside risk and stock returns: The case of Amman stock exchange. Jordan Journal of Business Administration, 18(2), 189-201. [Link]
3. Audrino, F., & Hu, Y. (2016). Volatility forecasting: Downside risk, jumps and leverage effect. Econometrics, MDPI, 4(1), 1-24. [CrossRef]
4. Baghdadabad, M. T. (2018). Drawdown measure and market timing skills: An International empirical Study (Doctoral thesis, Western Sydney University, Australia). [Link]
5. Bakheet, I. A. (2018). The downside risk and stock return; the case of Amman Stock Exchange (Master’s dissertation, Yarmouk University, Irbid, Jordan). [Link]
6. Canbin, Y. (2018). A strategy considering both magnitude and duration of drawdown in China. Management Science and Engineering, 12(1), 58-61. [Link]
7. Chen, C., Y., H., & Chiang, T. C. (2016). Empirical analysis of intertemporal relationship between downside risk and expected return: Evidence from time-varying transition probability models. European Financial Management, 22 (5), 749-796. [CrossRef]
8. Chiang T. C. (2019). Empirical analysis of intertemporal relations between downside risks and expected returns – Evidence from Asian markets. Research in International Business and Finance, 47, 264-278. [CrossRef]
9. Cibulskiene, D. & Brazauskas M. (2016). A theoretical approach to quantitative downside risk  measurement methods. Central and Eastern European Journal of Management and Economics, 4(2), 105-123. [Link]
10. Hassan, M., K., Chowdhury, M., I., H., Balli, F., & Hasan, R. (2021). A note on Covid-19 instigated maximum drawdown in Islamic markets versus conventional counterparts. [CrossRef]
11. Inghelbrecht, P. (2019). Value and momentum drawdowns (Master’s dissertation, Ghent University, Ghent, Belgium). [Link]
12. Kim, S. (2018). Are value at risk and maximum drawdown different from volatility in stock market? South Korea. The Journal of Applied Business Research, 34(2), 217-222. [CrossRef]
13. Liu, L. (2015). Pattern-Based method for reducing drawdowns in stock index investment (MPhil thesis, Chinese University of Hong Kong, China). [Link]
14. Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(1), 77-91. [CrossRef]
15. Mendes, B. V. M., & Lavrado, R. C. (2017). Implementing and testing the maximum drawdown at risk. Finance Research Letters, 22, 95–100. [Crossref]
16. Okpara, G. C. (2015, April,03). Downside risk analysis of the Nigerian Stock Market: A value at risk approach. A paper presented at International Conference Science Index, LOS Angeles USA. [Link]
17. Pruchnicka-Grabias, I. (2016). Maximum drawdown measures in hedge fund efficiency Appraisal. Financial internet Quarterly, E-finance, 12(4), 83-91. [Crossref]
18. Rad-Kaftoudi, H., Gholizadeh, M., & Fadaei, M. (2020). The explanation of the relationship between downside risk and upside risk combination in predicting market return volatility. Financial engineering and Portfolio Management, 11(45), 373-388. [Link]
19. Raza, H. Hasan, A. & Rashid, A. (2019). The impact of downside risk on expected return: Evidence from Emerging Economies. The Lahore Journal of Business, 8(1), 91-106. [CrossRef]
20. Rudin, A., &  Marr, W. M.  (2016). Investor views, drawdown based risk parity, and hedge fund portfolio construction. The Journal of alternative investments, 2(19), 1-8. [Link]
21. Shah, S. A., Khan, M. & Raza H. (2019). Pricing downside risk in Arbitrage Pricing Theory: A comparison across emerging and developed markets. NUML International Journal of Business & Management, 14(2), 111-127. [Link]
22. Sharpe, W. F. (1964). Capital asset prices: A theory of market equilibrium under conditions of risk. Journal of Finance, 19(1), 425-442. [CrossRef]
23. Su, Z., Mo, X., & Yin, L. (2020). Downside risk in the oil market: Does it affect stock returns in China? Emerging Markets Finance and Trade. [CrossRef]
24. Uslu, Ç. L., & Evren, B. (2018). Liquidity flows, drawdowns and trading networks in order driven markets: An application to Borsa Istanbul. Borsa Istanbul Review, 18(3),176-190. [CrossRef]
25. Valle, C.A., & Beasley, J. E. (2019). A nonlinear optimisation model for constructing minimal drawdown portfolios. [Link]
26. Wang, F., & Yan, X. (2021). Downside risk and the performance of volatility-managed portfolios. [CrossRef]
27. Wei-Zhang, Y., L., Xiong, X., & Wang, P. (2021). Downside risk and the cross-section of cryptocurrency returns. [CrossRef]
28. Zhou, W., Zhong, G., Leng, N., Li, J., & Xiong, D. (2019). Dynamic behaviors and   measurements of financial market crash rate in China. Physica A, (527), 1-12. [CrossRef]