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Tail risks in household finance

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  • Ardakani, Omid M.
  • Ajina, Rawan

Abstract

We introduce a measure to quantify shared information within household financial portfolios under extreme events. We employ mutual information and copula entropy to capture tail dependencies among investment assets. We then study the impact of socio-economic factors on proactive financial behaviors using data from the 2022 Survey of Consumer Finances and highlight the necessity for tail-informed diversification strategies. Our findings underscore the importance of accounting for nonlinear dependencies to safeguard against unanticipated risks in extreme market scenarios.

Suggested Citation

  • Ardakani, Omid M. & Ajina, Rawan, 2024. "Tail risks in household finance," Finance Research Letters, Elsevier, vol. 69(PA).
    • Handle: RePEc:eee:finlet:v:69:y:2024:i:pa:s154461232401095x
    DOI: 10.1016/j.frl.2024.106065
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    References listed on IDEAS

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    1. Ebrahimi, Nader & Jalali, Nima Y. & Soofi, Ehsan S., 2014. "Comparison, utility, and partition of dependence under absolutely continuous and singular distributions," Journal of Multivariate Analysis, Elsevier, vol. 131(C), pages 32-50.
    2. Omid M. Ardakani, 2022. "Option pricing with maximum entropy densities: The inclusion of higher‐order moments," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1821-1836, October.
    3. Junker, Markus & Szimayer, Alex & Wagner, Niklas, 2006. "Nonlinear term structure dependence: Copula functions, empirics, and risk implications," Journal of Banking & Finance, Elsevier, vol. 30(4), pages 1171-1199, April.
    4. Chu, Ba, 2011. "Recovering copulas from limited information and an application to asset allocation," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1824-1842, July.
    5. Rašiová, Barbara & Árendáš, Peter, 2023. "Copula approach to market volatility and technology stocks dependence," Finance Research Letters, Elsevier, vol. 52(C).
    6. Ardakani, Omid M., 2023. "Capturing information in extreme events," Economics Letters, Elsevier, vol. 231(C).
    7. Omid M. Ardakani & Nader Ebrahimi & Ehsan S. Soofi, 2018. "Ranking Forecasts by Stochastic Error Distance, Information and Reliability Measures," International Statistical Review, International Statistical Institute, vol. 86(3), pages 442-468, December.
    8. Dionisio, Andreia & Menezes, Rui & Mendes, Diana A., 2004. "Mutual information: a measure of dependency for nonlinear time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(1), pages 326-329.
    9. Paul R. Dewick & Shuangzhe Liu, 2022. "Copula Modelling to Analyse Financial Data," JRFM, MDPI, vol. 15(3), pages 1-11, February.
    10. Andrew J. Patton, 2006. "Modelling Asymmetric Exchange Rate Dependence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(2), pages 527-556, May.
    11. Assaf, Ata & Charif, Husni & Demir, Ender, 2022. "Information sharing among cryptocurrencies: Evidence from mutual information and approximate entropy during COVID-19," Finance Research Letters, Elsevier, vol. 47(PA).
    12. Ardakani, Omid M., 2023. "Coherent measure of portfolio risk," Finance Research Letters, Elsevier, vol. 57(C).
    13. Christian Genest & Michel Gendron & Michaël Bourdeau-Brien, 2009. "The Advent of Copulas in Finance," The European Journal of Finance, Taylor & Francis Journals, vol. 15(7-8), pages 609-618.
    14. Lu Lu & Sujit Ghosh, 2023. "Nonparametric Estimation of Multivariate Copula Using Empirical Bayes Methods," Mathematics, MDPI, vol. 11(20), pages 1-22, October.
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    More about this item

    Keywords

    Copula models; Extreme value theory; Financial dependencies; Household finance; Information theory; Tail risk;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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