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Loss aversion, asymmetric market comovements, and the home bias

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  • Kevin Amonlirdviman
  • Carlos Carvalho

Abstract

Loss aversion has been used to explain why a high equity premium might be consistent with plausible levels of risk aversion. The intuition is that the different utility impact of wealth gains and losses leads loss-averse investors to behave similarly to investors with high risk aversion. But if so, should these agents not perceive larger gains from international diversification than standard expected-utility preference agents with plausible levels of risk aversion? They might not, because comovements in international stock markets are asymmetric: Correlations are higher in market downturns than in upturns. This asymmetry dampens the gains from diversification relatively more for loss-averse investors. We analyze the portfolio problem of such an investor who has to choose between home and foreign equities in the presence of asymmetric comovement in returns. Perhaps surprisingly, in the context of the home bias puzzle we find that the loss-averse investors behave similarly to those with standard expected-utility preferences and plausible levels of risk aversion. We argue that preference specifications that appear to perform well with respect to the equity premium puzzle should be subjected to this \\"test.\\"

Suggested Citation

  • Kevin Amonlirdviman & Carlos Carvalho, 2010. "Loss aversion, asymmetric market comovements, and the home bias," Staff Reports 430, Federal Reserve Bank of New York.
  • Handle: RePEc:fip:fednsr:430
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    Cited by:

    1. He, Feng & Wang, Ziwei & Yin, Libo, 2020. "Asymmetric volatility spillovers between international economic policy uncertainty and the U.S. stock market," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    2. Drobetz, Wolfgang & Mönkemeyer, Marwin & Requejo, Ignacio & Schröder, Henning, 2023. "Foreign bias in institutional portfolio allocation: The role of social trust," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 233-269.
    3. Rim Ammar Lamouchi & Ruba Khalid Shira, 2023. "Heterogeneous Behavior and Volatility Transmission in the Forex Market using High-Frequency Data," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 13(3), pages 1-3.
    4. Baruník, Jozef & Kočenda, Evžen & Vácha, Lukáš, 2017. "Asymmetric volatility connectedness on the forex market," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 39-56.
    5. Baruník, Jozef & Kočenda, Evžen & Vácha, Lukáš, 2016. "Asymmetric connectedness on the U.S. stock market: Bad and good volatility spillovers," Journal of Financial Markets, Elsevier, vol. 27(C), pages 55-78.
    6. Amar, Amine Ben & Goutte, Stéphane & Isleimeyyeh, Mohammad & Benkraiem, Ramzi, 2022. "Commodity markets dynamics: What do cross-commodities over different nearest-to-maturities tell us?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    7. Lasse Steiner & Bruno S. Frey & Magnus Resch, 2013. "Home is where your art is: the home bias of art collectors," ECON - Working Papers 135, Department of Economics - University of Zurich.
    8. Albrecht, Peter & Kočenda, Evžen, 2024. "Volatility connectedness on the central European forex markets," International Review of Financial Analysis, Elsevier, vol. 93(C).
    9. Jinesh Jain & Nidhi Walia & Simarjeet Singh & Esha Jain, 2022. "Mapping the field of behavioural biases: a literature review using bibliometric analysis," Management Review Quarterly, Springer, vol. 72(3), pages 823-855, September.
    10. He, Feng & Ma, Feng & Wang, Ziwei & Yang, Bohan, 2021. "Asymmetric volatility spillover between oil-importing and oil-exporting countries' economic policy uncertainty and China's energy sector," International Review of Financial Analysis, Elsevier, vol. 75(C).
    11. Ben Amar, Amine & Goutte, Stéphane & Isleimeyyeh, Mohammad, 2022. "Asymmetric cyclical connectedness on the commodity markets: Further insights from bull and bear markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 386-400.
    12. Shahzad, Syed Jawad Hussain & Naeem, Muhammad Abubakr & Peng, Zhe & Bouri, Elie, 2021. "Asymmetric volatility spillover among Chinese sectors during COVID-19," International Review of Financial Analysis, Elsevier, vol. 75(C).
    13. Constantin Mellios & Anh Ngoc Lai, 2022. "Incentive Fees with a Moving Benchmark and Portfolio Selection under Loss Aversion," Post-Print hal-03708926, HAL.
    14. Abricha, Amal & Ben Amar, Amine & Bellalah, Makram, 2024. "Commodity futures markets under stress and stress-free periods: Further insights from a quantile connectedness approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 229-246.
    15. Dony Abdul Chalid & Rangga Handika, 2022. "Comovement and contagion in commodity markets," Cogent Economics & Finance, Taylor & Francis Journals, vol. 10(1), pages 2064079-206, December.

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