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High-order moments in stock pricing: evidence from the Chinese and US markets

High-order moments in stock pricing: evidence from the Chinese and US markets The purpose of this paper is to introduce an augmented high-order capital asset pricing model (AH-CAPM) as a new risk-based model to price stocks.Design/methodology/approachThe AH-CAPM is defined as a linear model with high-order marginal moments and co-moments from the joint distributions of the sorted stock portfolio returns and the market return.FindingsThe performance of the AH-CAPM is tested in the Chinese and US stock markets. Empirical results show that the high-order marginal moments and co-moments from the joint distributions in AH-CAPM contain the risk and return information implied by the Fama–French factors, indicating it as a better risk measurement. Moreover, the AH-CAPM performs better than the Fama–French three-factor model and the Carhart four-factor model in both the Chinese and US stock markets.Originality/valueOverall, this study introduces a new asset pricing model with better measurements to incorporate risk information in the stock market. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png China Finance Review International Emerald Publishing

High-order moments in stock pricing: evidence from the Chinese and US markets

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
2044-1398
DOI
10.1108/cfri-06-2019-0070
Publisher site
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Abstract

The purpose of this paper is to introduce an augmented high-order capital asset pricing model (AH-CAPM) as a new risk-based model to price stocks.Design/methodology/approachThe AH-CAPM is defined as a linear model with high-order marginal moments and co-moments from the joint distributions of the sorted stock portfolio returns and the market return.FindingsThe performance of the AH-CAPM is tested in the Chinese and US stock markets. Empirical results show that the high-order marginal moments and co-moments from the joint distributions in AH-CAPM contain the risk and return information implied by the Fama–French factors, indicating it as a better risk measurement. Moreover, the AH-CAPM performs better than the Fama–French three-factor model and the Carhart four-factor model in both the Chinese and US stock markets.Originality/valueOverall, this study introduces a new asset pricing model with better measurements to incorporate risk information in the stock market.

Journal

China Finance Review International – Emerald Publishing

Published: Jun 18, 2020

Keywords: Asset pricing model; High-order moment; Joint distribution; C14; C50; G11; G32

References

  • Efficient, regression-based estimation of dynamic asset pricing models
    Adrian, T.; Crump, R.K.; Moench, E.
  • Downside risk
    Ang, A.; Chen, J.; Xing, Y.
  • Life insurer cost of equity with asymmetric risk factors
    Bajtelsmit, V.L.; Villupuram, S.V.; Wang, T.
  • The relationship between return and market value of common stocks
    Banz, R.W.
  • On persistence in mutual fund performance
    Carhart, M.M.
  • Asset pricing when returns are nonnormal: Fama-french factors versus higher-order systematic comoments
    Chung, Y.P.; Johnson, H.; Schill, M.J.
  • Higher moments and beta asymmetry: evidence from Australia
    Doan, M.P.; Lin, C.; Chng, M.
  • Risk, return, and equilibrium: empirical tests
    Fama, E.; MacBeth, J.
  • Common risk factors in the returns on stocks and bonds
    Fama, E.F.; French, K.R.
  • Size, value, and momentum in international stock returns
    Fama, E.F.; French, K.R.
  • Cokurtosis and capital asset pricing
    Fang, H.; Lai, T.Y.
  • Are the Fama and French factors global or country specific?
    Griffin, J.M.
  • Conditional skewness in asset pricing tests
    Harvey, C.R.; Siddique, A.
  • Momentum, size and value factors versus systematic co-moments in stock returns
    Hung, C.H.D.
  • Modeling emerging market risk premia using higher moments
    Hwang, S.; Satchell, S.E.
  • Returns to buying winners and selling losers: implications for stock market efficiency
    Jegadeesh, N.; Titman, S.
  • Skewness preference and the valuation of risk assets
    Kraus, A.; Litzenberger, R.H.
  • Conditional risk premia in currency markets and other asset classes
    Lettau, M.; Maggiori, M.; Weber, M.
  • The valuation of risk assets and the selection of risky investments in stock portfolios and capital budgets
    Lintner, J.
  • The conditional relation between beta and returns
    Pettengill, G.N.; Sundaram, S.; Mathur, I.
  • Persuasive evidence of market inefficiency
    Rosenberg, B.; Reid, K.; Lanstein, R.
  • Capital asset prices: a theory of market equilibrium under conditions of risk
    Sharpe, W.F.
  • Do stock prices move too much to be justified by subsequent changes in dividends
    Shiller, R.J.
  • Market value, time, and risk
    Treynor, J.L.
  • Asymmetric correlations of equity portfolios
    Ang, A.; Chen, J.
  • Stocks as lotteries: the implications of probability weighting for security prices
    Barberis, N.; Huang, M.
  • Expected idiosyncratic skewness
    Boyer, B.; Mitton, T.; Vorkink, K.
  • Evidence on the characteristics of cross-sectional variation in stock returns
    Daniel, K.; Titman, S.
  • Who gambles in the stock market?
    Kumar, A.
  • The limits of arbitrage
    Shleifer, A.; Vishny, R.W.
  • Conditional coskewness and asset pricing
    Smith, D.R.