Which popular predictor is more useful to forecast international stock markets during the coronavirus pandemic: VIX vs EPU? J Wang, X Lu, F He, F Ma International Review of Financial Analysis 72, 101596, 2020 | 120 | 2020 |
Volatility of clean energy and natural gas, uncertainty indices, and global economic conditions J Wang, F Ma, E Bouri, J Zhong Energy Economics 108, 105904, 2022 | 109 | 2022 |
The role of the IDEMV in predicting European stock market volatility during the COVID-19 pandemic Y Li, C Liang, F Ma, J Wang Finance research letters 36, 101749, 2020 | 95 | 2020 |
Examining the predictive information of CBOE OVX on China’s oil futures volatility: Evidence from MS-MIDAS models X Lu, F Ma, J Wang, J Wang Energy 212, 118743, 2020 | 61 | 2020 |
Oil shocks and stock market volatility: New evidence X Lu, F Ma, J Wang, B Zhu Energy Economics 103, 105567, 2021 | 60 | 2021 |
Which factors drive Bitcoin volatility: Macroeconomic, technical, or both? J Wang, F Ma, E Bouri, Y Guo Journal of Forecasting 42 (4), 970-988, 2023 | 48 | 2023 |
Is Baidu index really powerful to predict the Chinese stock market volatility? New evidence from the internet information Q Lang, J Wang, F Ma, D Huang, MWM Ismail China Finance Review International 13 (2), 263-284, 2021 | 46 | 2021 |
Does high-frequency crude oil futures data contain useful information for predicting volatility in the US stock market? New evidence J Wang, Y Huang, F Ma, J Chevallier Energy Economics 91, 104897, 2020 | 40 | 2020 |
Uncertainty and oil volatility: Evidence from shrinkage method J Wang, X He, F Ma, P Li Resources Policy 75, 102482, 2022 | 32 | 2022 |
Stock market volatility predictability in a data-rich world: A new insight F Ma, J Wang, MIM Wahab, Y Ma International Journal of Forecasting 39 (4), 1804-1819, 2023 | 29 | 2023 |
Forecasting China's crude oil futures volatility: the role of the jump, jumps intensity, and leverage effect J Wang, F Ma, MIM Wahab, D Huang Journal of Forecasting 40 (5), 921-941, 2021 | 15 | 2021 |
Which exogenous driver is informative in forecasting European carbon volatility: Bond, commodity, stock or uncertainty? J Wang, X Guo, X Tan, J Chevallier, F Ma Energy Economics 117, 106419, 2023 | 13 | 2023 |
Forecast the realized range-based volatility: The role of investor sentiment and regime switching W Xu, J Wang, F Ma, X Lu Physica A: Statistical Mechanics and its Applications 527, 121422, 2019 | 13 | 2019 |
Climate risk and Chinese stock volatility forecasting: Evidence from ESG index J Wang, L Li Finance Research Letters 55, 103898, 2023 | 10 | 2023 |
Volatility forecasting revisited using Markov‐switching with time‐varying probability transition J Wang, F Ma, C Liang, Z Chen International Journal of Finance & Economics 27 (1), 1387-1400, 2022 | 10 | 2022 |
Harnessing the decomposed realized measures for volatility forecasting: Evidence from the US stock market B Lu, F Ma, J Wang, H Ding, MIM Wahab International Review of Economics & Finance 72, 672-689, 2021 | 10 | 2021 |
Have the predictability of oil changed during the COVID-19 pandemic: evidence from international stock markets H Ding, Y Huang, J Wang International Review of Financial Analysis 87, 102620, 2023 | 7 | 2023 |
Forecasting international REITs volatility: the role of oil-price uncertainty J Wang, R Gupta, O Çepni, F Ma The European Journal of Finance 29 (14), 1579-1597, 2023 | 6 | 2023 |
International stock volatility predictability: New evidence from uncertainties J Wang, F Ma, T Wang, L Wu Journal of International Financial Markets, Institutions and Money 85, 101781, 2023 | 4 | 2023 |
Modeling and managing stock market volatility using MRS-MIDAS model W Chen, X Lu, J Wang International Review of Economics & Finance 82, 625-635, 2022 | 4 | 2022 |