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Jiqian Wang
Jiqian Wang
其他姓名Wang Jiqian
School of Economics & Management, Southwest Jiaotong University
在 my.swjtu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
1202020
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
1092022
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
952020
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
612020
Oil shocks and stock market volatility: New evidence
X Lu, F Ma, J Wang, B Zhu
Energy Economics 103, 105567, 2021
602021
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
482023
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
462021
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
402020
Uncertainty and oil volatility: Evidence from shrinkage method
J Wang, X He, F Ma, P Li
Resources Policy 75, 102482, 2022
322022
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
292023
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
152021
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
132023
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
132019
Climate risk and Chinese stock volatility forecasting: Evidence from ESG index
J Wang, L Li
Finance Research Letters 55, 103898, 2023
102023
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
102022
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
102021
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
72023
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
62023
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
42023
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
42022
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