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2018 | Volume 14 | Issue 1 | 132-142
Tytuł artykułu

Higher co-moments and asset pricing on emerging stock markets by quantile regression approach

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper investigates the role of the third and fourth moments which impact on weekly stock return for the all twenty-five emerging stock markets (featured by MSCI - Morgan Stanley Capital International) during the period from April 2005 to November 2017. We employ the traditional CAPM combined with co-skewness and co-kurtosis representing nonlinear shape in risk measurement to estimate return generating under quantile regression in descending order by sorting equally weighted portfolios. The findings show that three of premium including market premium, co-skewness premium and co-kurtosis premium has influenced stock return in each country by 1%; 5%; 10% significance level with five-quantile regression approach. Then, our models with higher co-moments have better explanation for securities in emerging markets rather than traditional CAPM. Importantly, the investors should add more co-skewness securities and eliminate co-kurtosis (or less this factor) to generate more returns among 25 developing markets.
Słowa kluczowe
Rocznik
Tom
Numer
Strony
132-142
Opis fizyczny
Daty
wydano
2018-01-24
Twórcy
  • Banking University of Ho Chi Minh City, Ho Chi Minh City, Vietnam
  • Banking University of Ho Chi Minh City, Ho Chi Minh City, Vietnam
Bibliografia
  • Barone Adesi, G., Gagliardini, P., & Urga, G. (2004). Testing asset pricing models with coskewness. Journal of Business & Economic Statistics, 22(4), 474-485.
  • Bekaert, G., & Urias, M. S. (1996). Diversification, integration and emerging market closed‐end funds. the Journal of Finance, 51(3), 835-869.
  • Canela, M. A., & Collazo, E. P. (2007). Portfolio selection with skewness in emerging market industries. Emerging Markets Review, 8(3), 230-250.
  • Dittmar, R. F. (2002). Nonlinear pricing kernels, kurtosis preference, and evidence from the cross section of equity returns. The Journal of Finance, 57(1), 369-403.
  • Jeald E. Pinto, & Thomas R. Robinson. (2017). Equity, CFA Program Curriculum, Level II, Volume 4, Page 91.
  • Fama, E. F., & French, K. R. (2008). Dissecting anomalies. The Journal of Finance, 63(4), 1653-1678.
  • Harvey, C. R., & Siddique, A. (2000). Conditional skewness in asset pricing tests. The Journal of Finance, 55(3), 1263-1295.
  • Kraus, A., & Litzenberger, R. H. (1976). Skewness preference and the valuation of risk assets. The Journal of Finance, 31(4), 1085-1100.
  • Kostakis, A., Muhammad, K., & Siganos, A. (2012). Higher co-moments and asset pricing on London Stock Exchange. Journal of Banking & Finance, 36(3), 913-922.
  • Lintner, J. (1965). The valuation of risk assets and the selection of risky investments in stock portfolios and capital budgets. The Review of Economics and Statistics, 13-37.
  • Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(1), 77-91.
  • Miller, M. B. (2013). Mathematics and Statistics for Financial Risk Management, John Wiley & Sons.
  • Moreno, D., & Rodríguez, R. (2009). The value of coskewness in mutual fund performance evaluation. Journal of Banking & Finance, 33(9), 1664-1676.
  • Sharpe, W. F. (1964). Capital asset prices: A theory of market equilibrium under conditions of risk. The Journal of Finance, 19(3), 425-442.
Typ dokumentu
Bibliografia
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