F
Fenghua Wen
Researcher at Central South University
Publications - 118
Citations - 4210
Fenghua Wen is an academic researcher from Central South University. The author has contributed to research in topics: Stock market & Volatility (finance). The author has an hindex of 30, co-authored 106 publications receiving 2603 citations. Previous affiliations of Fenghua Wen include Wenzhou University & Hunan City University.
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Forecasting the volatility of crude oil futures using HAR-type models with structural breaks
TL;DR: In this article, sixteen HAR-type volatility models with structural breaks were introduced and their parameters were estimated by applying 5min high-frequency transaction data for WTI crude oil futures.
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Retail investor attention and stock price crash risk: Evidence from China
TL;DR: Wang et al. as mentioned in this paper investigated the effect of retail investor attention on stock price crash risk in China, and found that firms with higher investor attention tend to have a lower future stock prices crash risk.
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Asymmetric impacts of oil price uncertainty on Chinese stock returns under different market conditions: Evidence from oil volatility index
TL;DR: This article investigated the impacts of oil price uncertainty on the aggregate and sectoral stock returns in China by using a quantile regression, which can provide a more detailed examination under different market conditions Meanwhile, the asymmetric effects of uncertainty shocks are also examined by using the positive and negative changes of the OVX.
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Interaction between oil and US dollar exchange rate: nonlinear causality, time-varying influence and structural breaks in volatility
TL;DR: In this article, the authors examined the nonlinear Granger causality and time-varying influence between crude oil prices and the US dollar (USD) exchange rate using the Hiemstra and Jones (HP) test, the Diks and Panchenko (DP) test and the time varying parameter structural vector autoregression model.
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China's carbon emissions trading and stock returns
TL;DR: Wang et al. as mentioned in this paper used a difference-in-differences (DID) method to quantitatively analyze the impact of carbon emissions' environmental regulation on the stock returns of companies.