R
Rui Huo
Researcher at Jilin University
Publications - 7
Citations - 309
Rui Huo is an academic researcher from Jilin University. The author has contributed to research in topics: Stock (geology) & Stock market. The author has an hindex of 5, co-authored 7 publications receiving 139 citations. Previous affiliations of Rui Huo include RMIT University.
Papers
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Volatility transmissions across international oil market, commodity futures and stock markets: Empirical evidence from China
Abdullahi D. Ahmed,Rui Huo +1 more
TL;DR: In this paper, a trivariate VAR-BEKK-GARCH model was used to investigate the dynamic relationship among the Chinese stock market, commodity markets and global oil price.
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Return and volatility spillovers effects: Evaluating the impact of Shanghai-Hong Kong Stock Connect
Rui Huo,Abdullahi D. Ahmed +1 more
TL;DR: Wang et al. as discussed by the authors investigated the impact of the recently introduced Shanghai-Hong Kong Stock Connect and found that the new Stock Connect does contribute to the increasing importance of Chinese mainland stock market and economic activity.
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Impacts of China's crash on Asia-Pacific financial integration: Volatility interdependence, information transmission and market co-movement
TL;DR: In this paper, the authors examined the price and volatility dynamics between China and major stock markets in the Asia-Pacific, investigating the effects of the Chinese stock market crash (2015-2016) for the first time.
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China–Africa financial markets linkages: Volatility and interdependence
TL;DR: In this article, the authors analyse the dynamic linkages and volatility transmission mechanisms between Chinese and African stock markets in recent years while highlighting the relative importance of Chinese capital flows and investments.
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Relationships between Chinese stock market and its index futures market: Evaluating the impact of QFII scheme
Rui Huo,Abdullahi D. Ahmed +1 more
TL;DR: In this paper, the impact of QFII on the dynamic relationship between the Chinese stock index futures and spot markets was examined using high frequency data (5 min interval) and various dynamic methods including VECM, GJR, BEKK and DCC GARCH models.