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Correlations and volatility spillovers across commodity and stock markets : linking energies, food, and gold
Mensi, Walid; Beljid, Makram; Boubaker, Adel; Managi, … - In: Economic modelling 32 (2013), pp. 15-22
Persistent link: https://www.econbiz.de/10009760820
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Crude oil and BRICS stock markets under extreme shocks : new evidence
Wang, Lu; Ma, Feng; Niu, Tianjiao; He, Chengting - In: Economic modelling 86 (2020), pp. 54-68
Persistent link: https://www.econbiz.de/10012415223
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Economic policy uncertainty and the Chinese stock market volatility : novel evidence
Li, Tao; Ma, Feng; Zhang, Xuehua; Zhang, Yaojie - In: Economic modelling 87 (2020), pp. 24-33
Persistent link: https://www.econbiz.de/10012416291
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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
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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
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Forecasting the oil futures price volatility : a new approach
Ma, Feng; Liu, Jing; Huang, Dengshi; Chen, Wang - In: Economic modelling 64 (2017), pp. 560-566
Persistent link: https://www.econbiz.de/10011761312
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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