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Simulating the market coefficient of relative risk aversion

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  • Samih Antoine Azar
  • Vera Karaguezian-Haddad

Abstract

In this paper, expected utility, defined by a Taylor series expansion around expected wealth, is maximized. The coefficient of relative risk aversion (CRRA) that is commensurate with a 100% investment in the risky asset is simulated. The following parameters are varied: the riskless return, the market standard deviation, the market stock premium, and the skewness and the kurtosis of the risky return. Both the high extremes and the low extremes are considered. With these figures, the upper bound of the market CRRA is 3.021 and the lower bound is 0.466. Log utility, which corresponds to a CRRA of 1, is not excluded.

Suggested Citation

  • Samih Antoine Azar & Vera Karaguezian-Haddad, 2014. "Simulating the market coefficient of relative risk aversion," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-7, December.
    • Handle: RePEc:taf:oaefxx:doi:10.1080/23322039.2014.990742
    DOI: 10.1080/23322039.2014.990742
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    Cited by:

    1. Samih Antoine Azar, 2015. "How much are you Willing to Pay to Play the Saint Petersburg Gamble?," International Journal of Financial Economics, Research Academy of Social Sciences, vol. 4(2), pages 101-108.
    2. Samih Antoine Azar, 2018. "Random Risk Appetite," Research in Applied Economics, Macrothink Institute, vol. 10(3), pages 52-68, September.
    3. Samih Antoine Azar, 2017. "Risk-free Yields, Risk Aversion, and Volatility," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 105-112.
    4. Etelvina Stefani Chavez & Gastón Milanesi & Gabriela Pesce, 2021. "Aversión al riesgo implícita en los precios de mercado de diferentes activos financieros de Argentina," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(1), pages 1-23, Enero - M.

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