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Modelling Emerging Market Risk Premia Using Higher Moments

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Author Info
Hwang, Soosung
Satchell, Stephen E
Abstract

The purpose of this paper is to assess the incremental value of higher moments in modelling capital asset pricing models (CAPMs) of emerging markets. Whilst it is recognized that emerging markets are unlikely to yield sensible results in a mean-variance world, the high skewness and kurtosis present in emerging markets returns make our assessment potentially interesting. Generalized method of moments (GMM) is used for the estimation. We also present new versions of higher-moment market models of the data-generating process of the individual emerging markets and use these to identify model parameters. We find some evidence that emerging markets are better explained with additional systematic risks, such as co-skewness and co-kurtosis, than the conventional mean-variance CAPM. Copyright @ 1999 by John Wiley & Sons, Ltd. All rights reserved.

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Article provided by John Wiley & Sons, Ltd. in its journal International Journal of Finance & Economics.

Volume (Year): 4 (1999)
Issue (Month): 4 (October)
Pages: 271-96
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Handle: RePEc:ijf:ijfiec:v:4:y:1999:i:4:p:271-96

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  1. X. Henry Wang & Carmen F. Menezes, 2004. "Increasing Outer Risk," Working Papers 0413, Department of Economics, University of Missouri, revised 23 Dec 2004. [Downloadable!]
  2. Don U.A. Galagedera & Elizabeth A. Maharaj, 2004. "Wavelet timescales and conditional relationship between higher-order systematic co-moments and portfolio returns: evidence in Australian data," Monash Econometrics and Business Statistics Working Papers 16/04, Monash University, Department of Econometrics and Business Statistics. [Downloadable!]
    Other versions:
  3. A. Sancetta & Satchell, S.E., 2002. "New Test Statistics for Market Timing with Application to Emerging markets," Cambridge Working Papers in Economics 0222, Faculty of Economics, University of Cambridge. [Downloadable!]
  4. Tae-Hwan Kim & Halbert White, 2004. "On More Robust Estimation of Skewness and Kurtosis: Simulation and Application to the S&P500 Index," University of California at San Diego, Economics Working Paper Series 2003-12, Department of Economics, UC San Diego. [Downloadable!]
  5. Stephen E. Satchell & Shaun A. Bond, 2004. "Asymmetry, Loss Aversion and Forecasting," Econometric Society 2004 Australasian Meetings 160, Econometric Society. [Downloadable!]
  6. Y. Malevergne & D. Sornette, 2002. "Multi-Moments Method for Portfolio Management: Generalized Capital Asset Pricing Model in Homogeneous and Heterogeneous markets," Quantitative Finance Papers cond-mat/0207475, arXiv.org. [Downloadable!]
  7. Jondeau, E. & Rockinger, M., 2004. "Optimal Portfolio Allocation Under Higher Moments," Documents de Travail 108, Banque de France. [Downloadable!]
  8. Flôres Junior, Renato Galvão & Athayde, Gustavo Monteiro de, 2002. "On Certain Geometric Aspects of Portfolio Optimisation with Higher Moments," Economics Working Papers (Ensaios Economicos da EPGE) 453, Graduate School of Economics, Getulio Vargas Foundation (Brazil). [Downloadable!]
  9. Y. Malevergne & V. F. Pisarenko & D. Sornette, 2003. "Empirical Distributions of Log-Returns: between the Stretched Exponential and the Power Law?," Quantitative Finance Papers physics/0305089, arXiv.org. [Downloadable!]
  10. Martin Eling, 2006. "Performance measurement of hedge funds using data envelopment analysis," Financial Markets and Portfolio Management, Springer, vol. 20(4), pages 442-471, December. [Downloadable!] (restricted)
  11. Jondeau, E. & Rockinger, M., 2000. "Conditional Volatility, Skewness, and Kurtosis: Existence and Persistence," Documents de Travail 77, Banque de France. [Downloadable!]
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