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Forecasting the U.S. stock volatility : an aligned jump index from G7 stock markets

Ma, Feng; Wahab, M. I. M.; Zhang, Yaojie - In: Pacific-Basin finance journal 54 (2019), pp. 132-146

Persistent link: https://www.econbiz.de/10012133635

Which types of commodity price information are more useful for predicting US stock market volatility?

Liang, Chao; Ma, Feng; Li, Ziyang; Li, Yan - In: Economic modelling 93 (2020), pp. 642-650

Persistent link: https://www.econbiz.de/10012430321

Good, bad cojumps and volatility forecasting : new evidence from crude oil and the U.S. stock markets

Chen, Yixiang; Ma, Feng; Zhang, Yaojie - In: Energy economics 81 (2019), pp. 52-62

Persistent link: https://www.econbiz.de/10012172656

Asymmetric volatility spillovers between oil and stock markets : evidence from China and the United States

Xu, Weiju; Ma, Feng; Wang, Chen; Zhang, Bing - In: Energy economics 80 (2019), pp. 310-320

Persistent link: https://www.econbiz.de/10012173623

Harnessing the decomposed realized measures for volatility forecasting : evidence from the US stock market

Lu, Botao; Ma, Feng; Wang, Jiqian; Ding, Hui; Wahab, M. … - In: International review of economics & finance : IREF 72 (2021), pp. 672-689

Persistent link: https://www.econbiz.de/10012672074

Does high-frequency crude oil futures data contain useful information for predicting volatility in the US stock market? : new evidence

Wang, Jiqian; Huang, Yisu; Ma, Feng; Chevallier, Julien - In: Energy economics 91 (2020), pp. 1-13

Persistent link: https://www.econbiz.de/10012518664

United States Oil Fund volatility prediction : the roles of leverage effect and jumps

Liang, Chao; Liao, Yin; Ma, Feng; Zhu, Bo - In: Empirical economics : a quarterly journal of the … 62 (2022) 5, pp. 2239-2262

Persistent link: https://www.econbiz.de/10013197292

The role of oil futures intraday information on predicting US stock market volatility

Tang, Yusui; Xiao, Xiao; Wahab, M. I. M.; Ma, Feng - In: Journal of management science and engineering 6 (2021) 1, pp. 64-74

This study investigates the role of oil futures price information on forecasting the US stock market volatility using the HAR framework. In-sample results indicate that oil futures intraday information is helpful to increase the predictability. Moreover, compared to the benchmark model, the...

Persistent link: https://www.econbiz.de/10013206077

U.S. GDP Growth Rate Predictability : New Evidence

Lu, Fei; Ma, Feng; Bouri, Elie; Fei, Xia - 2022

Our research focuses on forecasting the GDP growth rate by taking a considerable number of economic indicators from various frequencies into account within a new penalty-based mixed-frequency data model called the MIDAS-LASSO model. The empirical findings reveal that the MIDAS-LASSO model has a...

Persistent link: https://www.econbiz.de/10013295573

The role of model bias in predicting volatility : evidence from the US equity markets

Li, Yan; Luo, Lian; Liang, Chao; Ma, Feng - In: China finance review international 13 (2023) 1, pp. 140-155

Persistent link: https://www.econbiz.de/10014312248