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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

Forecasting the aggregate oil price volatility in a data-rich environment

Ma, Feng; Liu, Jing; Wahab, M. I. M.; Zhang, Yaojie - In: Economic modelling 72 (2018), pp. 320-332

Persistent link: https://www.econbiz.de/10012100341

Is economic policy uncertainty important to forecast the realized volatility of crude oil futures?

Ma, Feng; Wahab, M. I. M.; Liu, Jing; Liu, Li - In: Applied economics 50 (2018) 18, pp. 2087-2101

Persistent link: https://www.econbiz.de/10011849647

Forecasting the realized volatility of the oil futures market : a regime switching approach

Ma, Feng; Wahab, M. I. M.; Huang, Dengshi; Xu, Weiju - In: Energy economics 67 (2017), pp. 136-145

Persistent link: https://www.econbiz.de/10011897885

Forecasting the realized range-based volatility using dynamic model averaging approach

Liu, Jing; Wei, Yu; Ma, Feng; Wahab, M. I. M. - In: Economic modelling 61 (2017), pp. 12-26

Persistent link: https://www.econbiz.de/10011736682

The role of jumps in the agricultural futures market on forecasting stock market volatility: New evidence

Ma, Feng; Zhang, Yaojie; Wahab, M. I. M.; Lai, Xiaodong - In: Journal of Forecasting 38 (2019) 5, pp. 400-414

Persistent link: https://www.econbiz.de/10012082030

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

Stock market volatility predictability in a data-rich world : a new insight

Ma, Feng; Wang, Jiqian; Wahab, M. I. M.; Ma, Yuanhui - In: International journal of forecasting 39 (2023) 4, pp. 1804-1819

Persistent link: https://www.econbiz.de/10014465355

Stock Market Risk Predictability in a Data-Rich World : A New Insight

Ma, Feng; Wang, Jiqian; Wahab, M. I. M.; Ma, Yuanhui - 2022

This study develops a prevailing shrinkage method, LASSO with Markov regime-switching model (MRS-LASSO), to predict the US stock market volatility. Totally 17 famous macroeconomic and financial factors are used in this research. The out-of-sample results reveal the MRS-LASSO model can...

Persistent link: https://www.econbiz.de/10014088461

A tug of war of forecasting the US stock market volatility : oil futures overnight versus intraday information

Ma, Feng; Wahab, M. I. M.; Chevallier, Julien; Li, Ziyang - In: Journal of forecasting 42 (2023) 1, pp. 60-75

Persistent link: https://www.econbiz.de/10013465762