Publication:
Theory and Application of an Economic Performance Measure of Risk

Loading...
Thumbnail Image
Official URL
Full text at PDC
Publication Date
2017
Advisors (or tutors)
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
Facultad de Ciencias Económicas y Empresariales. Instituto Complutense de Análisis Económico (ICAE)
Citations
Google Scholar
Research Projects
Organizational Units
Journal Issue
Abstract
Homm and Pigorsch (2012a) use the Aumann and Serrano index to develop a new economic performance measure (EPM), which is well known to have advantages over other measures. In this paper, we extend the theory by constructing a one-sample confidence interval of EPM, and construct confidence intervals for the difference of EPMs for two independent samples. We also derive the asymptotic distribution for EPM and for the difference of two EPMs when the samples are independent. We conduct simulations to show the proposed theory performs well for one and two independent samples. The simulations show that the proposed approach is robust in the dependent case. The theory developed is used to construct both onesample and two-sample confidence intervals of EPMs for Singapore and USA stock indices.
Description
Keywords
Citation
Andrews, D.W.K. (1991). Heteroskedasticity and autocorrelation consistent covariance matrix estimation. Econometrica, 59, 817-858. Aumann, R. and Serrano, R. (2008). An economic index of riskiness. Journal of Political Economy, 116, 810-836. Bartlett, M.S., (1953). Approximate confidence intervals. Biometrika, 40, 12-19. Brookmeyer, R. and Crowley, J. (1982). A confidence interval for the median survival time. Biometrics, 38, 29-41. Chernick, M.R. (2007). Bootstrap Methods: A Guide for Practitioners and Researchers. Wiley, New Jersey. Dagan, R., Poolman, J. and Siegrist, C.A. (2010). Glycoconjugate vaccines and immune interference: A review. Vaccine, 28, 5513-5523. Davison, A.C. and Hinkley, D.V. (1997). Bootstrap Methods and Their Application. Cambridge Series in Statistical and Probabilistic Mathematics, Cambridge University Press, Cambridge. Donner, A. and Zou, G.Y. (2012). Closed-form confidence intervals for functions of the normal mean and standard deviation. Statistical Methods in Medical Research, 21, 347-359. Efron, B. (1979). Bootstrap methods: Another look at the jackknife. Annals of Statistics, 7, 1-26. Efron, B. (1987). Better Bootstrap Confidence Intervals. Journal of the American Statistical Association, 82, 171-185. Efron, B. and Tibshirani, R.J. (1993). An Introduction to the Bootstrap. Chapman & Hall, London. Ghosh, B.K. (1979). A comparison of some approximate confidence intervals for the binomial parameter. Journal of the American Statistical Association, 74, 894-900. Hall, P. (1992). The Bootstrap and Edgeworth Expansion. Springer, New York. Hansen, L.P. (1982). Large sample properties of generalized method of moments estimators. Econometrica, 50, 1029-1054. Homm, U. and Pigorsch, C. (2012a). Beyond the Sharpe ratio: An application of the Aumann-Serrano index to performance measurement. Journal of Banking & Finance, 36, 2274-2284. Homm, U. and Pigorsch, C. (2012b). An operational interpretation and existence of the Aumann-Serrano index of riskiness. Economics Letters, 114, 265-267. Jobson, J.D. and Korkie, B.M. (1981). Performance hypothesis testing with the Sharpe and Treynor measures. Journal of Finance, 36, 889-908. Ledoit, O. and Wolf, M. (2008). Robust performance hypothesis testing with the Sharpe ratio. Journal of Empirical Finance, 15, 850-859. Memmel, C. (2003). Performance hypothesis testing with the Sharpe ratio. Finance Letters, 1, 21-23. Newcombe, R.G. (2016). MOVER-R confidence intervals for ratios and products of two independently estimated quantities. Statistical Methods in Medical Research, 25, 1774-1778. Schreiber, A. (2014). Economic indices of absolute and relative riskiness. Economic Theory, 56, 309-331. Schulze, K. (2014). Existence and computation of the Aumann-Serrano index of riskness and its extension. Journal of Mathematical Economics, 50, 219-224. van der Vaart A.W. (1998). Asymptotic Statistics. Cambridge: Cambridge University Press. Zakamouline, V. and Koekebakker, S. (2009). Portfolio performance evaluation with generalized Sharpe ratio: Beyond the mean and variance. Journal of Banking & Finance, 33, 1242-1254. Zou, G.Y. (2008). On the estimation of additive interaction by use of the fourby-two table and beyond. American Journal of Epidemiology, 168, 212-224. Zou, G.Y. (2010). Confidence interval estimation under inverse sampling. Computational Statistics and Data Analysis, 54, 55-64. Zou, G.Y. and Donner, A. (2008). Construction of confidence limits about effect measures: A general approach. Statistics in Medicine, 27, 1693-1702. Zou, G.Y., Huang, W.Y. and Zhang, X. H. (2009). A note on confidence interval estimation for a linear function of binomial proportions. Computational Statistics and Data Analysis. 53, 1080-1085.