Downside Market Risk: A Key Determinant of Cryptocurrency Returns
https://doi.org/10.18288/1994-5124-2025-1-30-55
Abstract
This paper is one of the first studies to investigate how downside market risk affects cryptocurrency returns. Based on weekly data for more than 900 cryptocurrencies from 2014 to 2018, downside market risk is considered in three different forms as it arises in the cryptocurrency market, the aggregate alternative investment market, and the stock market. The empirical part of the study employs regression analysis applied to each of three definitions of market risk. First, individual cryptocurrency betas are obtained with a rolling window approach. Second, factor portfolios are constructed based on individual betas to test factor strategies. Third, cross-sectional analysis is used to estimate risk premiums. The conclusion is that cryptocurrency returns are very sensitive to cryptocurrency market drops and insensitive to the dynamics of other financial assets. Downside market risk has a positive and significant effect on cryptocurrency returns, a result which is valid for both individual-instrument and portfolio investment. However, the effects of downside market risk for cryptocurrencies are not offset by any other risk factors, and the key conclusion to be drawn is that high cryptocurrency returns are fair compensation for elevated downside risk. A three-factor model that incorporates a downside market risk factor along with SMB and WML factors was the most useful of those considered, as it explained more than half of cross-sectional returns and surpassed other established models. These results may be useful for daily cryptocurrency trading as well as for further study of cryptocurrency returns.
About the Author
A. V. KusliaikinRussian Federation
Aleksandr V. Kusliaikin, Post-graduate student
а 11, Pokrovskiy bul., Moscow, 109028
References
1. Abbas Q., Ayub U., Sargana S.M., Saeed S.K. From Regular-Beta CAPM to Downside-Beta CAPM. European Journal of Social Sciences, 2011, vol. 21, no. 2, pp. 189-203.
2. Andrianto Y., Diputra Y. The Effect of Cryptocurrency on Investment Portfolio Effectiveness. Journal of Finance and Accounting, 2017, vol. 5, no. 6, pp. 229-238. DOI: 10.11648/j.jfa.20170506.14.
3. Ang A., Chen J., Xing Y. Downside Risk. The Review of Financial Studies, 2006, vol. 19, no. 4, pp. 1191-1239. DOI: 10.1093/rfs/hhj035.
4. Belitski M., Boreiko D. Success Factors of Initial Coin Offerings. The Journal of Technology Transfer, 2021, vol. 47, no. 6, pp. 1690-1706. DOI: 10.1007/s10961-021-09894-x.
5. Boido C., Fasano A. Alternative Assets: А Comparison Between Commodities and Traditional Asset Classes. ICFAI Journal of Derivatives Markets, 2009, vol. 6, no. 2, pp. 74-105.
6. Dickey D.A., Fuller W.A. Distribution of the Estimators for Autoregressive Time Series With a Unit Root. Journal of the American Statistical Association, 1979, vol. 74, no. 366a, pp. 427-431. DOI: 10.1080/01621459.1979.10482531.
7. Dobrynskaya V. Downside Market Risks of Carry Trades. Review of Finance, 2014, vol. 18, no. 5, pp. 1885-1913. DOI: 10.1093/rof/rfu004.
8. Fama E.F., Macbeth J.D. Risk, Return, and Equilibrium: Empirical Tests. The Journal of Political Economy, 1973, vol. 81, no. 3, pp. 607-636. DOI: 10.1086/260061.
9. Gilbert S., Loi H. Digital Currency Risk. International Journal of Economics and Finance, 2018, vol. 10, no. 2, pp. 108-123. DOI: 10.5539/IJEF.V10N2P108.
10. Gul F. A Theory of Disappointment Aversion. Econometrica: Journal of the Econometric Society, 1991, vol. 59, no. 3, pp. 667-686. DOI: 10.2307/2938223.
11. Hausman J.A. Specification Tests in Econometrics. Econometrica: Journal of the Econometric Society, 1978, vol. 46, no. 6, pp. 1251-1271. DOI: 10.2307/1913827.
12. Kahneman D., Tversky A. Prospect Theory: Аn Analysis of Decision Under Risk. Econometrica, 1979, vol. 52, no. 4, pp. 263-291. DOI: 10.1142/9789814417358_0006.
13. Lettau M., Maggiori M., Weber M. Conditional Risk Premia in Currency Markets and Other Asset Classes. Journal of Financial Economics, 2014, vol. 114, no. 2, pp. 197-225. DOI: 10.1016/j.jfineco.2014.07.001.
14. Liu W., Liang X., Cui W. Common Risk Factors in the Returns on Cryptocurrencies. Economic Modelling, 2020, vol. 86, pp. 299-325. DOI: 10.1016/j.econmod.2019.09.035.
15. Liu Y., Tsyvinski A. Risks and Returns of Cryptocurrency. The Review of Financial Studies, 2021, vol. 34, no. 6, pp. 2689-2727. DOI: 10.1093/rfs/hhaa113.
16. Liu Y., Tsyvinski A., Wu X. Common Risk Factors in Cryptocurrency. The Journal of Finance, 2022, vol. 77, no. 2, pp. 1133-1177. DOI: 10.1111/jofi.13119.
17. Makarov I., Schoar A. Trading and Arbitrage in Cryptocurrency Markets. Journal of Financial Economics, 2020, vol. 135, no. 2, pp. 293-319. DOI: 10.1016/j.jfineco.2019.07.001.
18. Nakamoto S. Bitcoin: А Peer-To-Peer Electronic Cash System. Decentralized Business Review, 2008, art. 21260.
19. Newey W.K., West K.D. Automatic Lag Selection in Covariance Matrix Estimation. The Review of Economic Studies, 1994, vol. 61, no. 4, pp. 631-653. DOI: 10.2307/2297912.
20. Roy A. Safety First and the Holding of Assets. Econometrica, 1952, vol. 20, no. 3, pp. 431- 449. DOI: 10.2307/1907413.
21. Yermack D. Is Bitcoin a Real Currency? An Economic Appraisal. In: Handbook of Digital Currency. New York, 2015, pp. 31-43. DOI: 10.1016/B978-0-12-802117-0.00002-3.
22. Zhang W., Li Y., Xiong X., Wang P. Downside Risk and the Cross-Section of Cryptocurrency Returns. Journal of Banking and Finance, 2021, vol. 133, pp. 106246. DOI: 10.1016/j.jbankfin.2021.106246.
Review
For citations:
Kusliaikin A.V. Downside Market Risk: A Key Determinant of Cryptocurrency Returns. Economic Policy. 2025;20(1):30-55. (In Russ.) https://doi.org/10.18288/1994-5124-2025-1-30-55