Abstract
The purpose of this part of the book is to expose the reader to applications of the Gini methodology in financial theory. Those applications are relevant whenever one is interested in decision making under risk or in reducing the incompatibility between financial theory and econometric applications. Risky situations are characterized by having to make decisions without knowing what the exact outcome is going to be. This definition covers almost every decision a person makes.
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Notes
- 1.
For example, multivariate normal probability distributions of returns or quadratic utility functions.
- 2.
Yitzhaki and Mayshar (2002) showed that the assumption of continuity in the portfolio space implies that if there is no portfolio that dominates a given portfolio under MCSD, then there will be no other portfolio (among all of portfolios, not just marginal ones) that dominates the given portfolio.
- 3.
Shorrocks (1983) calls these curves generalized Lorenz curves.
- 4.
Yitzhaki (1982a) also shows that the mean-Gini conditions for SSD are sufficient whenever the cumulative probability distributions intersect at most once.
- 5.
- 6.
Whenever the CAPM is mentioned, it is interpreted as the reference portfolio held by the investor and not necessarily the market portfolio.
- 7.
- 8.
This topic is dealt in Chap. 18.
- 9.
In general the term market’s return should be interpreted as the portfolio’s return. See Shalit and Yitzhaki (2009) concerning CAPM with heterogeneous risk-averse investors.
References
Aaberge, R. (2000). Characterization of Lorenz curves and income distributions. Social Choice and Welfare, 17, 639–653.
Atkinson, A. B. (1970). On the measurement of inequality. Journal of Economic Theory, 2, 244–263.
Best, R. W., Hodges, C. W., & Yoder, J. A. (2006). Expected earnings growth and portfolio performance. Review of Quantitative Finance and Accounting, 26, 431–437.
Cheung, C., Sherman, C. C., Kwan, & YIP, P. C. Y. (1990). The hedging effectiveness of options and futures: A Mean-Gini approach. Journal of Future Markets, 10(1), 61–73.
Chow, K. V., Riley, W. B., & Formby, J. P. (1992). International portfolio selection and efficiency analysis. Review of Quantitative Finance and Accounting, 2, 47–67.
Clark, E., Jokung, O., & Kassimatis, K. (2011). Making inefficient market indices efficient. European Journal of Operation Research, 209, 83–93.
Clark, E. A., & Kassimatis, K. (2012). An empirical analysis of marginal conditional stochastic dominance. Journal of Banking & Finance, 36, 1144–1151.
De Veaux, D. R. (1976). Tight upper and lower bounds for correlation of bivariate distributions arising in air pollution modeling. Technical Report No. 5 (1976), Department of Statistics, Stanford University.
Dennenberg, D., & Leufer, N. (2008). Dual volatility and dependence parameters and the copula. International Journal of Approximate Reasoning, 48, 697–708.
Dentcheva, D., & Ruszczyński, A. (2006). Portfolio optimization with stochastic dominance constraints. Journal of Banking and Finance, 30, 433–451.
Embrechts, P., Lindskog, F., & McNeil, A. (2003). Modelling dependence with copulas and applications to risk management, ch-8. In T. R. Svetlozar (Ed.), Handbook of heavy tailed distributions in finance (pp. 331–384). New York: Elsevier.
Embrechts, P., McNeil, A., & Straumann, D. (2002). Correlation and dependence in risk management: Properties and pitfalls. In M. Alan & H. Dempster (Eds.), Risk management: Value at risk and beyond (pp. 176–223). London: Cambridge University Press.
Graves, S. B., & Ringuest, J. L. (2009). Probabilistic dominance criteria for comparing uncertain alternatives: A tutorial. Omega, 37, 346–357.
Gregory-Allen, R. B., & Shalit, H. (1999). The estimation of systematic risk under differentiated risk aversion: A mean-extended Gini approach. Review of Quantitative Finance and Accounting, 12, 135–157.
Hadar, J., & Russell, W. R. (1969). Rules for ordering uncertain prospects. American Economic Review, 59(1 (March)), 25–34.
Hanoch, G., & Levy, H. (1969). The efficiency analysis of choices involving risk. Review of Economic Studies, 36, 335–346.
Kleiber, C., & Kotz, S. (2002). A characterization of income distributions in terms of generalized Gini coefficients. Social Choice and Welfare, 19, 789–794.
Levy, H. (1992). Stochastic dominance and expected utility: Survey and analysis. Management Science, 38, 555–593.
Levy, H. (2006). Stochastic dominance: Investment decision making under uncertainty (2nd ed.). New York: Springer Verlag.
Levy, H., Guttman, I., & Tkatch, I. (2). Regression, correlation, and the time interval: Additive-multiplicative framework. Management Science, 47(8 (August)), 1150–1159.
Levy, H., & Schwarz, G. (1997). Correlation and the time interval over which the variables are measured. Journal of Econometrics, 76, 341–350.
Lien, D., & Tse, Y. K. (2002). Some future developments in future hedging. Journal of Economic Surveys, 16, 357–396.
Ogryczak, W., & Ruszczyński, A. (2002). Dual stochastic dominance and related mean–risk models. SIAM Journal on Optimization, 13, 60–78.
Post, T. (2003). Empirical tests for stochastic dominance efficiency. Journal of Finance, 58, 1905–1931.
Rothschild, M., & Stiglitz, J. E. (1970). Increasing risk I a definition. Journal of Economic Theory, 2, 225–253.
Ruszczyński, A., & Vanderbei, R. J. (2003). Frontier of stochastically nondominated portfolios. Econometrica, 71, 1287–1297.
Samuelson, P. A. (1967). General proof that diversification pays. Journal of Financial and Quantitative Analysis, 2, 1–13.
Serfling, R. (2010). Autoregressive models via Yule-Walker equations allowing heavy tail innovations. Working paper. http://www.utdallas.edu/~serfling/papers/Serfling2010_AR_MR.pdf.
Shalit, H., & Yitzhaki, S. (1989). Evaluating the mean-Gini approach selection to portfolio selection. International Journal of Finance Spring, 1(2), 15–31.
Shalit, H., & Yitzhaki, S. (1994). Marginal conditional stochastic dominance. Management Science, 40, 670–684.
Shalit, H., & Yitzhaki, S. (2003). An asset allocation puzzle: Comment. American Economic Review, 93, 1002–1008.
Shalit, H., & Yitzhaki, S. (2009). Capital market equilibrium with heterogeneous investors. Quantitative Finance, 9, 757–766.
Shalit, H., & Yitzhaki, S. (2010). How does beta explain stochastic dominance efficiency? Review of Quantitative Finance and Accounting, 35, 431–444.
Shelef, A., & Schechtman, E. (2011). A Gini-based methodology for analyzing time series, draft. SSRN.com.
Shorrocks, A. F. (1983). Ranking income distributions. Economica, 50, 3–17.
Thistle, P. D. (1993). Negative moments, risk aversion, and stochastic dominance. Journal of Financial and Quantitative Analysis, 28(2), 301–311.
Yaari, M. E. (1987). The dual theory of choice under risk. Econometrica, 55(1 (January)), 95–115.
Yaari, M. E. (1988). A controversial proposal concerning inequality measurement. Journal of Economic Theory, 44(2), 381–397.
Yitzhaki, S. (1982a). Stochastic dominance, mean variance, and the Gini’s mean difference. American Economic Review, 72, 178–185.
Yitzhaki, S. (1982b). Relative deprivation and economic welfare. European Economic Review, 17, 99–113.
Yitzhaki, S. (1982c). A tax programming model. Journal of Public Economics, 19, 107–120.
Yitzhaki, S. (1987). On the Relation between return and income. Quarterly Journal of Economics, 102(February), 77–95.
Yitzhaki, S., & Mayshar, J. (2002). Characterizing efficient portfolios. Available at: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=297899. Unpublished.
Yitzhaki, S., & Olkin, I. (1991). Concentration indices and concentration curves. In Karl Mosler and Marco Scarsini (Eds.), Stochastic orders and decisions under risk, 19 (pp. 380–392). Institute Of Mathematical Statistics: Lecture-Notes Monograph Series.
Zhang, D. (2009). A demonstration of the non-necessity of marginal conditional stochastic dominance for portfolio inefficiency. The Quarterly Review of Economics and Finance, 49, 417–423.
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Yitzhaki, S., Schechtman, E. (2013). Introduction to Applications of the GMD and the Lorenz Curve in Finance. In: The Gini Methodology. Springer Series in Statistics, vol 272. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4720-7_17
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