2018
DOI: 10.3390/ijfs6020035
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An Empirical Investigation of Risk-Return Relations in Chinese Equity Markets: Evidence from Aggregate and Sectoral Data

Abstract: This paper investigates the risk-return relations in Chinese equity markets. Based on a TARCH-M model, evidence shows that stock returns are positively correlated with predictable volatility, supporting the risk-return relation in both aggregate and sectoral markets. Evidence finds a positive relation between stock return and intertemporal downside risk, while controlling for sentiment and liquidity. This study suggests that the U.S. stress risk or the world downside risk should be priced into the Chinese stoc… Show more

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Cited by 18 publications
(16 citation statements)
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References 70 publications
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“…On the contrary, a low stock price also has effect toward future stock return, reduces the risk into a lower level. There are several different results found by researchers, for instances (Al-Qudah & Laham, 2013;Chiang & Zhang, 2018;Koluku et al, 2015;Syahrin & Darmawan, 2018). They uncovered that market risk have influnce on stocks return.…”
Section: The Influence Of Market Risk On Stock Returnmentioning
confidence: 94%
“…On the contrary, a low stock price also has effect toward future stock return, reduces the risk into a lower level. There are several different results found by researchers, for instances (Al-Qudah & Laham, 2013;Chiang & Zhang, 2018;Koluku et al, 2015;Syahrin & Darmawan, 2018). They uncovered that market risk have influnce on stocks return.…”
Section: The Influence Of Market Risk On Stock Returnmentioning
confidence: 94%
“…Terakhir, jumlah makalah yang tersisa untuk ditinjau adalah 10. (Chiang & Zhang, 2018) hadir dalam GARCH-in-mean, local downside risk-return, dan hubungan risk-return global.…”
Section: Hasilunclassified
“…However, the EPU innovations from respective local markets and the global market are included in the variance equation to capture the local news shock and contagious effect from global markets (Chiang et al 2007;Forbes 2012;Bali and Cakici 2010). Finally, following Nelson (1991); Li et al (2005); Chiang and Zhang (2018), the error series is assumed to follow the GED distribution, specified as ε t Ω t−1~G ED(0,σ 2 t , ν), which accommodates the thickness of the tails of a distribution.…”
Section: The Model With News Informationmentioning
confidence: 99%