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Tail dependence structure and extreme risk spillover effects between the international agricultural futures and spot markets
Dai, Yun-Shi; Dai, Peng-Fei; Zhou, Wei-Xing - In: Journal of international financial markets, … 88 (2023), pp. 1-24
Persistent link: https://www.econbiz.de/10014482970
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A dynamic model of hedging and speculation in the commodity futures markets
Cifarelli, Giulio; Paladino, Giovanna - In: Journal of financial markets 25 (2015), pp. 1-15
Persistent link: https://www.econbiz.de/10011477250
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Navigating the oil bubble : a non-linear heterogeneous-agent dynamic model of futures oil pricing
Cifarelli, Giulio; Paesani, Paolo - In: The energy journal 42 (2021) 5, pp. 101-122
Persistent link: https://www.econbiz.de/10013170656
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Estimating multi-period value at risk of oil futures prices
Zhou, Chunyang; Qin, Xiao; Diao, Xundi; He, Yingchen - In: Applied economics 48 (2016) 31/33, pp. 2994-3004
Persistent link: https://www.econbiz.de/10011615344
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Spillover effects in the global copper futures markets: asymmetric multivariate GARCH approaches
Lee, Hyun-Bock; Park, Cheol-Ho - In: Applied economics 52 (2020) 54, pp. 5909-5920
Persistent link: https://www.econbiz.de/10012308379
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Fundamentals, Derivatives Market Information and Oil Price Volatility
Robe, Michel A.; Wallen, Jonathan - 2021
We analyze empirically what drives market expectations of crude oil price volatility. Between 2000 and 2014, we … outperforms a benchmark ARIMA specification both in and out of sample, suggests an approach for studying volatility in asset …
Persistent link: https://www.econbiz.de/10013245198
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Fundamentals, Derivatives Market Information and Oil Price Volatility
Robe, Michel A.; Wallen, Jonathan - 2021
We analyze empirically what drives market expectations of crude oil price volatility. Between 2000 and 2014, we … outperforms a benchmark ARIMA specification both in and out of sample, suggests an approach for studying volatility in asset …
Persistent link: https://www.econbiz.de/10013245199
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Forecasting crude oil market volatility : a Markov switching multifractal volatility approach
Wang, Yudong; Wu, Chongfeng; Li, Yang - In: International journal of forecasting 32 (2016) 1, pp. 1-9
Persistent link: https://www.econbiz.de/10011596312
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Determinants of the Crude Oil Futures Curve : Inventory, Consumption and Volatility
Sklibosios Nikitopoulos, Christina - 2020
, OECD and U.S. oil and petroleum inventories and consumption, and historical and implied volatility. When we model the … predicted by the theory of storage. However results show that excess inventory is not adequately modelled as deviations from a …, increases in volatility make positive spreads more steeply positive but are not related to negative spreads, consistent with …
Persistent link: https://www.econbiz.de/10012855154
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Economic determinants of oil futures volatility : term structure perspective
Kang, Boda; Nikitopoulos, Christina Sklibosios; … - In: Energy economics 88 (2020), pp. 1-27
Persistent link: https://www.econbiz.de/10012515144