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Time-varying risk aversion and currency excess returns

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  • Demirer, Riza
  • Yuksel, Asli
  • Yuksel, Aydin

Abstract

This paper documents an economically significant risk premium associated with a currency’s sensitivity to time-varying risk aversion. Consequently, an investment strategy that takes a long (short) position in currencies with high (low) sensitivity to aggregate market risk aversion yields significantly positive excess returns. While advanced market currencies including the Euro, Yen and Swiss Francs dominate the short end of these portfolios with low sensitivity to risk aversion, emerging market currencies including the Brazilian Real, Mexican Peso and Turkish Lira are found to be the most sensitive currencies to risk aversion. The excess returns from the proposed strategy are significant even after controlling for systematic equity market risk factors as well as liquidity risk and cannot be explained by measures of economic conditions or uncertainty. Interestingly, the excess returns generated by the risk aversion-based strategy are found to have significant loadings on global momentum, suggesting possible commonality in the behavioral drivers of anomalies in the global equity and currency markets. The findings highlight the role of behavioral factors as predictor of currency excess returns with significant investment implications.

Suggested Citation

  • Demirer, Riza & Yuksel, Asli & Yuksel, Aydin, 2022. "Time-varying risk aversion and currency excess returns," Research in International Business and Finance, Elsevier, vol. 59(C).
  • Handle: RePEc:eee:riibaf:v:59:y:2022:i:c:s0275531921001768
    DOI: 10.1016/j.ribaf.2021.101555
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    1. Antoniou, Constantinos & Doukas, John A. & Subrahmanyam, Avanidhar, 2013. "Cognitive Dissonance, Sentiment, and Momentum," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(1), pages 245-275, February.
    2. Orlov, Vitaly & Äijö, Janne, 2015. "Benefits of wavelet-based carry trade diversification," Research in International Business and Finance, Elsevier, vol. 34(C), pages 17-32.
    3. Amil Dasgupta & Andrea Prat & Michela Verardo, 2011. "The Price Impact of Institutional Herding," Review of Financial Studies, Society for Financial Studies, vol. 24(3), pages 892-925.
    4. Nerissa C. Brown & Kelsey D. Wei & Russ Wermers, 2014. "Analyst Recommendations, Mutual Fund Herding, and Overreaction in Stock Prices," Management Science, INFORMS, vol. 60(1), pages 1-20, January.
    5. Wang, Changyun, 2004. "Futures trading activity and predictable foreign exchange market movements," Journal of Banking & Finance, Elsevier, vol. 28(5), pages 1023-1041, May.
    6. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    7. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    8. Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 2008. "Carry Trade: The Gains of Diversification," Journal of the European Economic Association, MIT Press, vol. 6(2-3), pages 581-588, 04-05.
    9. Demirer, Riza & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2019. "Time-varying risk aversion and realized gold volatility," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    10. Martin Eichenbaum & Craig Burnside & Sergio Rebelo, 2007. "The Returns to Currency Speculation in Emerging Markets," American Economic Review, American Economic Association, vol. 97(2), pages 333-338, May.
    11. Christiansen, Charlotte & Ranaldo, Angelo & Söderlind, Paul, 2011. "The Time-Varying Systematic Risk of Carry Trade Strategies," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(4), pages 1107-1125, August.
    12. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    13. Atanasov, Victoria, 2018. "World output gap and global stock returns," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 181-197.
    14. Wang, Kevin Q. & Xu, Jianguo, 2015. "Market volatility and momentum," Journal of Empirical Finance, Elsevier, vol. 30(C), pages 79-91.
    15. Shin, Hyun Song & Plantin, Guillaume, 2011. "Carry Trades, Monetary Policy and Speculative Dynamics," CEPR Discussion Papers 8224, C.E.P.R. Discussion Papers.
    16. Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2015. "Measuring Uncertainty," American Economic Review, American Economic Association, vol. 105(3), pages 1177-1216, March.
    17. Jia, Boxiang & Goodell, John W. & Shen, Dehua, 2021. "US partisan conflict and high-yield exchange rates," Finance Research Letters, Elsevier, vol. 40(C).
    18. Baillie, Richard T. & Chang, Sanders S., 2011. "Carry trades, momentum trading and the forward premium anomaly," Journal of Financial Markets, Elsevier, vol. 14(3), pages 441-464, August.
    19. George Andrew Karolyi & Ying Wu, 2021. "Is Currency Risk Priced in Global Equity Markets? [Exposure to currency risk: definition and measurement]," Review of Finance, European Finance Association, vol. 25(3), pages 863-902.
    20. Zhang, Qian & Li, Zeguang, 2021. "Time-varying risk attitude and the foreign exchange market behavior," Research in International Business and Finance, Elsevier, vol. 57(C).
    21. Ranaldo, Angelo & Somogyi, Fabricius, 2021. "Asymmetric information risk in FX markets," Journal of Financial Economics, Elsevier, vol. 140(2), pages 391-411.
    22. Huang, Darien & Kilic, Mete, 2019. "Gold, platinum, and expected stock returns," Journal of Financial Economics, Elsevier, vol. 132(3), pages 50-75.
    23. Su, Zhi & Mo, Xuan & Yin, Libo, 2021. "Oil market uncertainty and excess returns on currency carry trade," Research in International Business and Finance, Elsevier, vol. 56(C).
    24. Frazzini, Andrea & Lamont, Owen A., 2008. "Dumb money: Mutual fund flows and the cross-section of stock returns," Journal of Financial Economics, Elsevier, vol. 88(2), pages 299-322, May.
    25. Dashan Huang & Fuwei Jiang & Jun Tu & Guofu Zhou, 2015. "Investor Sentiment Aligned: A Powerful Predictor of Stock Returns," Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 791-837.
    26. Natividad Blasco & Pilar Corredor & Sandra Ferreruela, 2012. "Market sentiment: a key factor of investors’ imitative behaviour," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 52(3), pages 663-689, September.
    27. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    28. Markus K. Brunnermeier & Stefan Nagel & Lasse H. Pedersen, 2009. "Carry Trades and Currency Crashes," NBER Chapters, in: NBER Macroeconomics Annual 2008, Volume 23, pages 313-347, National Bureau of Economic Research, Inc.
    29. Demirer, Rıza & Lien, Donald & Zhang, Huacheng, 2015. "Industry herding and momentum strategies," Pacific-Basin Finance Journal, Elsevier, vol. 32(C), pages 95-110.
    30. Dupuy, Philippe & James, Jessica & Marsh, Ian W., 2021. "Attractive and non-attractive currencies," Journal of International Money and Finance, Elsevier, vol. 110(C).
    31. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    32. Demirer, Riza & Omay, Tolga & Yuksel, Asli & Yuksel, Aydin, 2018. "Global risk aversion and emerging market return comovements," Economics Letters, Elsevier, vol. 173(C), pages 118-121.
    33. Vivek Singh, 2013. "Did institutions herd during the internet bubble?," Review of Quantitative Finance and Accounting, Springer, vol. 41(3), pages 513-534, October.
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    More about this item

    Keywords

    Exchange rate; Time-varying risk aversion; Risk premium;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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