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An asymmetric approach to the cost of equity estimation: empirical evidence from Russia

Author

Listed:
  • Yury Dranev

    () (National Research University Higher School of Economics)

  • Sofya Fomkina

    (National Research University Higher School of Economics)

Abstract

The choice of an appropriate model for the estimation of the cost of equity in emerging markets is still a very challenging problem. Market inefficiency, limited opportunities for diversification, as well as liquidity issues inspire researches to look for risk characteristics beyond the traditional framework of the classical capital asset pricing model. Various models have been developed over the past several decades proposing new ways of risk assessment. However, the empirical evidence of these models requires careful consideration. Most asset pricing models were developed in terms of either a symmetric mean-variance or a folded mean-semivariance framework. These models have several drawbacks in capturing investors’ attitudes to stock price movements. We provide a brief description of the recently proposed entropic risk characteristics which assign greater weight to the downside movements of asset prices and smaller weight to the upside movements. The goal of this study is to determine which model has better explanatory power for returns in the Russian capital market. We compare the performance of risk measures in the Russian stock market on a dataset of 63 stocks for the period from 2003 to 2012. Empirical results show certain advantages of entropic risk characteristics over other risk measures in explaining returns on Russian equities.

Suggested Citation

  • Yury Dranev & Sofya Fomkina, 2013. "An asymmetric approach to the cost of equity estimation: empirical evidence from Russia," HSE Working papers WP BRP 12/FE/2013, National Research University Higher School of Economics.
  • Handle: RePEc:hig:wpaper:12/fe/2013
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    References listed on IDEAS

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    1. Harvey, Campbell R, 1995. "Predictable Risk and Returns in Emerging Markets," Review of Financial Studies, Society for Financial Studies, vol. 8(3), pages 773-816.
    2. Barclay, Richard & Fletcher, Jonathan & Marshall, Andrew, 2010. "Pricing emerging market stock returns: An update," Emerging Markets Review, Elsevier, vol. 11(1), pages 49-61, March.
    3. Stephen Godfrey & Ramon Espinosa, 1996. "A Practical Approach To Calculating Costs Of Equity For Investments In Emerging Markets," Journal of Applied Corporate Finance, Morgan Stanley, vol. 9(3), pages 80-90.
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    5. Galagedera, Don U.A. & Brooks, Robert D., 2007. "Is co-skewness a better measure of risk in the downside than downside beta?: Evidence in emerging market data," Journal of Multinational Financial Management, Elsevier, vol. 17(3), pages 214-230, July.
    6. Swee-Sim, Foong & Kim-Leng, Goh, 2010. "Measuring the Cost of Equity of Emerging Market Firms: The Case of Malaysia," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 6(1), pages 25-46.
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    10. Dranev Yury, 2012. "CAPM-Like model and the special form of the utility function," Journal of Corporate Finance Research Корпоративные финансы, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», issue 1 (21), pages 33-36.
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    More about this item

    Keywords

    rate of return; cost of equity; CAPM; entropic variance.;

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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