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- W2781209983 abstract "This paper examines the role of higher co-moments of the shape of return distribution in capturing secondary data for 274 non-financial firms listed in the Vietnam Index, considered as one of the emerging stock markets, during the period from July 2006 to June 2016. We employ Fama-French model combined with higher co-moments, particularly co-skewness and co-kurtosis, and value-at-risk (VaR) to explain the return-generating process. Quantile regression is also used in descending order with the two methods of equally weighted and value-weighted portfolios. The findings show that investors could maximize their portfolio return by holding more stocks with the positive co-skewness and restricting the large co-kurtosis ones. It implies that in addition to co-momentum effects other determinants such as size, value and maximal value of losses also have a strong influence on stock return." @default.
- W2781209983 created "2018-01-05" @default.
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- W2781209983 date "2017-12-20" @default.
- W2781209983 modified "2023-09-27" @default.
- W2781209983 title "Pricing Assets with Higher Co-moments and Value-at-Risk by Quantile Regression Approach: Evidence from Vietnam Stock Market" @default.
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- W2781209983 doi "https://doi.org/10.1007/978-3-319-73150-6_70" @default.
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