The distribution of the characteristics of the maximum expected utility portfolio based on VaR: the impact of investor’s risk aversion coefficient
Abstract
Purpose and subject of researchThis study investigates the problem of rational choice of portfolio structure using the expected utility based on Value-at-Risk.Research methodologyThe study used formal mathematical methods, the method of economic and mathematical modeling, methods of portfolio construction, analytical methods of research.Value resultsWe discuss the correctness of sample estimator of rational structure weights. Specifically, we define densities of the sample estimators for main portfolio characteristics and elaborate how the densities depend on investors' risk aversion coefficient. Our empirical tests allow us to give some recommendations about the rational choice of the coefficient based on the data from PFTS Ukrainian stock exchange market. It is shown that the high values (larger than 4) of this coefficient should be avoided as well as the low values (in the neighborhood of one).ConclusionsThe paper examines properties of portfolio characteristics with maximum expected utility based on Value-at-Risk. The use of this risk measure in portfolio theory is fully consistent with recommendations of the main banking documents. From the theoretical point of view application of expected utility function for portfolio constructing is a generalization of the portfolio constructing problem with minimum risk and given level of portfolio return.Key words: portfolio construction, Value-at-Risk, rational structure weights, portfolio characteristicsReferences
Markowitz H. Portfolio selection / H. Markowitz // Journal of finance. – 1952. – №7. – P. 77 – 91.
Merton R. C. An analytical derivation of the efficient frontier / R. C. Merton // Journal of financial and quantitative analysis – 1972. – №7. – P. 1851 – 1872.
Okhrin Y. Distributional properties of optimal portfolio weights / Y. Okhrin, W. Schmid // Journal of econometrics. – 2006. – №134. – P. 235-256.
Basel committee on banking supervision // Operational risk consultative document, supporting document to the New Basel Capital Accord. – January 2001. – 30 p.
Duffie D. An overview of Value-at-Risk / D. Duffie, J. Pan // Journal of derivatives. – 1997. – Vol. 4, № 3 – P. 7-49.
Jorion P. Value at Risk: the new benchmark for managing financial risk / P. Jorion. – New York: McGraw-Hill Professional, 2002. – 544 p.
Kaminskyy A. B. Modelling of risk aversion using the Value at Risk methodology / A. B. Kaminskyy // Theoretical and practical problems of economics. – 2005. – № 6. – P. 145-154 (in ukrainian).
Vitlinskyy V. V. An integrated approach to applying the Value at Risk methodology / V. V. Vitlinskyy, A.B. Kaminskyy // Economic Cybernetics. – 2004. – № 5-6. – P. 4-14 (in ukrainian).
Alexander G. J. Economic implication of using a mean-VaR model for portfolio selection: a comparison with mean-variance analysis / G. J. Alexander, M. A. Baptista // Journal of economic dynamics & control. – 2002. – №26. – P. 1159 – 1193.
Bodnar T. Minimum VaR and Minimum CVaR optimal portfolios: estimators, confidence regions, and tests / T. Bodnar, W. Schmid, T. Zabolotskyy // Statistics & Risk Modeling. – 2012. – №29. – P. 281-314.
Bliss R. R. Option-implied risk aversion estimates / R. R. Bliss , N. Panigirtzoglou // The journal of finance. – 2004. – №59(1). – P. 407-446.
Bollerslev T. Dynamic estimation of volatility risk premia and investor risk aversion from option-implied and realized volatilities / T. Bollerslev, M. Gibons, H. Zhou// Journal of econometrics. – 2011. - №160(1). – P. 235-245.
Mansini R. Conditional value at risk and related linear programming models for portfolio optimization / R. Mansini, W. Ogryczak, M. G. Speranza // Annals of operations research. – 2007. – №152. – P. 227-256.
Fama E.F. Foundations of finance / E.F. Fama. – New York: Basic Books. 1976. – 391 p.
Bodnar T. Econometrical analysis of the sample efficient frontier / T. Bodnar, W. Schmid // The European journal of finance. – 2009. – №15. – P. 317-335.
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