Aguiar-Conraria, L. ; Soares, M.J. The continuous wavelet transform: Moving beyond uni-and bivariate analysis. 2014 Journal of Economic Surveys. 28 344-375
- AlKathiri, N. ; Al-Rashed, Y. ; Doshi, T.K. ; Murphy, F.H. “Asian premium” or “North Atlantic discount”: Does geographical diversification in oil trade always impose costs?. 2017 Energy Economics. 66 411-420
Paper not yet in RePEc: Add citation now
An, H. ; Gao, X. ; Fang, W. ; Huang, X. ; Ding, Y. The role of fluctuating modes of autocorrelation in crude oil prices. 2014 Physica A: Statistical Mechanics and its Applications. 393 382-390
Bao, Y. ; Lee, T.H. ; Saltoglu, B. Evaluating predictive performance of value-at-risk models in emerging markets: A reality check. 2006 Journal of Forecasting. 25 101-128
- Barnett, L. ; Barrett, A.B. ; Seth, A.K. Granger causality and transfer entropy are equivalent for Gaussian variables. 2009 Physical Review Letters. 103 -
Paper not yet in RePEc: Add citation now
Baruník, J. ; Křehlík, T. Measuring the frequency dynamics of financial connectedness and systemic risk. 2018 Journal of Financial Econometrics. 16 271-296
Bei, S. ; Yang, A. ; Pei, H. ; Si, X. Price risk analysis using GARCH family models: Evidence from Shanghai crude oil futures market. 2023 Economic Modelling. 125 -
Bekiros, S. ; Nguyen, D.K. ; Junior, L.S. ; Uddin, G.S. Information diffusion, cluster formation and entropy-based network dynamics in equity and commodity markets. 2017 European Journal of Operational Research. 256 945-961
Chatziantoniou, I. ; Gabauer, D. ; de Gracia, F.P. Tail risk connectedness in the refined petroleum market: A first look at the impact of the COVID-19 pandemic. 2022 Energy Economics. 111 -
Chen, H. ; Sun, Z. International crude oil price, regulation and asymmetric response of China’s gasoline price. 2021 Energy Economics. 94 -
Diebold, F.X. ; Yilmaz, K. Better to give than to receive: Predictive directional measurement of volatility spillovers. 2012 International Journal of Forecasting. 28 57-66
Diebold, F.X. ; Yılmaz, K. On the network topology of variance decompositions: Measuring the connectedness of financial firms. 2014 Journal of Econometrics. 182 119-134
Duan, K. ; Ren, X. ; Wen, F. ; Chen, J. Evolution of the information transmission between Chinese and international oil markets: A quantile-based framework. 2023 Journal of Commodity Markets. 29 -
Engle, R.F. ; Manganelli, S. CAViaR: Conditional autoregressive value at risk by regression quantiles. 2004 Journal of Business & Economic Statistics. 22 367-381
Fang, T. ; Zheng, C. ; Wang, D. Forecasting the crude oil prices with an EMD-ISBM-FNN model. 2023 Energy. 263 -
Feng, Y. ; Yang, J. ; Huang, Q. Multiscale correlation analysis of Sino-US corn futures markets and the impact of international crude oil price: A new perspective from the multifractal method. 2023 Finance Research Letters. 53 -
- Gong, C. ; Tang, P. ; Wang, Y. Measuring the network connectedness of global stock markets. 2019 Physica A: Statistical Mechanics and its Applications. 535 -
Paper not yet in RePEc: Add citation now
Gong, X. ; Xu, J. Geopolitical risk and dynamic connectedness between commodity markets. 2022 Energy Economics. 110 -
He, C. ; Li, G. ; Fan, H. ; Wei, W. Correlation between Shanghai crude oil futures, stock, foreign exchange, and gold markets: A GARCH-vine-copula method. 2021 Applied Economics. 53 1249-1263
Hu, Y. ; Lang, C. ; Corbet, S. ; Hou, Y.G. ; Oxley, L. Exploring the dynamic behaviour of commodity market tail risk connectedness during the negative WTI pricing event. 2023 Energy Economics. 125 -
Huang, D. ; Yu, B. ; Fabozzi, F.J. ; Fukushima, M. CAViaR-based forecast for oil price risk. 2009 Energy Economics. 31 511-518
Huang, X. ; Huang, S. Identifying the comovement of price between China’s and international crude oil futures: A time-frequency perspective. 2020 International Review of Financial Analysis. 72 -
- Ji, Q. ; Zhang, D. China’s crude oil futures: Introduction and some stylized facts. 2019 Finance Research Letters. 28 376-380
Paper not yet in RePEc: Add citation now
Ji, Q. ; Zhang, D. ; Zhao, Y. Intra-day co-movements of crude oil futures: China and the international benchmarks. 2022 Annals of Operations Research. 313 77-103
Jiang, Y. ; Nie, H. ; Monginsidi, J.Y. Co-movement of ASEAN stock markets: New evidence from wavelet and VMD-based copula tests. 2017 Economic Modelling. 64 384-398
Jiang, Z. ; Zhang, L. ; Zhang, L. ; Wen, B. Investor sentiment and machine learning: Predicting the price of China’s crude oil futures market. 2022 Energy. 247 -
- Joo, K. ; Jeong, M. ; Seo, Y. ; Suh, J.H. ; Ahn, K. Shanghai crude oil futures: Flagship or burst?. 2021 Energy Reports. 7 4197-4204
Paper not yet in RePEc: Add citation now
Kang, S.H. ; Yoon, S.M. Dynamic correlation and volatility spillovers across Chinese stock and commodity futures markets. 2020 International Journal of Finance and Economics. 25 261-273
Lee, C.C. ; Zhou, H. ; Xu, C. ; Zhang, X. Dynamic spillover effects among international crude oil markets from the time-frequency perspective. 2023 Resources Policy. 80 -
Li, J. ; Huang, L. ; Li, P. Are Chinese crude oil futures good hedging tools?. 2021 Finance Research Letters. 38 -
Li, P. ; Dong, Z. Time-varying network analysis of fluctuations between crude oil and Chinese and US gold prices in different periods. 2020 Resources Policy. 68 -
Lin, B. ; Su, T. Do China’s macro-financial factors determine the Shanghai crude oil futures market?. 2021 International Review of Financial Analysis. 78 -
Liu, M. ; Lee, C.C. Capturing the dynamics of the China crude oil futures: Markov switching, co-movement, and volatility forecasting. 2021 Energy Economics. 103 -
- Lu, X. ; Ma, F. ; Wang, J. ; Wang, J. Examining the predictive information of CBOE OVX on China’s oil futures volatility: Evidence from MS-MIDAS models. 2020 Energy. 212 -
Paper not yet in RePEc: Add citation now
Lucey, B. ; Ren, B. Time-varying tail risk connectedness among sustainability-related products and fossil energy investments. 2023 Energy Economics. 126 -
Naeem, M.A. ; Gul, R. ; Shafiullah, M. ; Karim, S. ; Lucey, B.M. Tail risk spillovers between Shanghai oil and other markets. 2024 Energy Economics. 130 -
Naqvi, B. ; Mirza, N. ; Umar, M. ; Rizvi, S.K.A. Shanghai crude oil futures: Returns independence, volatility asymmetry, and hedging potential. 2023 Energy Economics. 128 -
Palao, F. ; Pardo, Á. ; Roig, M. Is the leadership of the Brent-WTI threatened by China’s new crude oil futures market?. 2020 Journal of Asian Economics. 70 -
Sensoy, A. ; Sobaci, C. ; Sensoy, S. ; Alali, F. Effective transfer entropy approach to information flow between exchange rates and stock markets. 2014 Chaos, Solitons & Fractals. 68 180-185
Shao, M. ; Hua, Y. Price discovery efficiency of China’s crude oil futures: Evidence from the Shanghai crude oil futures market. 2022 Energy Economics. 112 -
Shi, X. ; Sun, S. Energy price, regulatory price distortion and economic growth: A case study of China. 2017 Energy Economics. 63 261-271
- Sun, C. ; Min, J. ; Sun, J. ; Gong, X. The role of China’s crude oil futures in world oil futures market and China’s financial market. 2023 Energy Economics. 120 -
Paper not yet in RePEc: Add citation now
Sun, C. ; Peng, Y. ; Zhan, Y. How does China’s crude oil futures affect the crude oil prices at home and abroad? Evidence from the cross-market exchange rate spillovers. 2023 International Review of Economics and Finance. 88 204-222
Sun, G. ; Li, J. ; Shang, Z. Return and volatility linkages between international energy markets and Chinese commodity market. 2022 Technological Forecasting and Social Change. 179 -
Wang, J. ; Qiu, S. ; Yick, H.Y. The influence of the Shanghai crude oil futures on the global and domestic oil markets. 2022 Energy. 245 -
Wang, S. Tail dependence, dynamic linkages, and extreme spillover between the stock and China’s commodity markets. 2023 Journal of Commodity Markets. 29 -
Wei, Y. ; Zhang, Y. ; Wang, Y. Information connectedness of international crude oil futures: Evidence from SC, WTI, and Brent. 2022 International Review of Financial Analysis. 81 -
- Wen, D. ; Wang, Y. ; Zhang, Y. Intraday return predictability in China’s crude oil futures market: New evidence from a unique trading mechanism. 2021 Economic Modelling. 96 209-219
Paper not yet in RePEc: Add citation now
Wen, F. ; Cao, J. ; Liu, Z. ; Wang, X. Dynamic volatility spillovers and investment strategies between the Chinese stock market and commodity markets. 2021 International Review of Financial Analysis. 76 -
- Xu, L. ; Ma, X. ; Qu, F. ; Wang, L. Risk connectedness between crude oil, gold and exchange rates in China: Implications of the COVID-19 pandemic. 2023 Resources Policy. 83 -
Paper not yet in RePEc: Add citation now
Yang, C. ; Lv, F. ; Fang, L. ; Shang, X. The pricing efficiency of crude oil futures in the Shanghai international exchange. 2020 Finance Research Letters. 36 -
Yang, J. ; Zhou, Y. Return and volatility transmission between China’s and international crude oil futures markets: A first look. 2020 Journal of Futures Markets. 40 860-884
Yang, Y. ; Ma, Y.R. ; Hu, M. ; Zhang, D. ; Ji, Q. Extreme risk spillover between Chinese and global crude oil futures. 2021 Finance Research Letters. 40 -
- Yu, Z. ; Yang, J. ; Webb, R.I. Price discovery in China’s crude oil futures markets: An emerging Asian benchmark?. 2023 Journal of Futures Markets. 43 297-324
Paper not yet in RePEc: Add citation now
Zhang, D. ; Shi, M. ; Shi, X. Oil indexation, market fundamentals, and natural gas prices: An investigation of the Asian premium in natural gas trade. 2018 Energy Economics. 69 33-41
Zhang, H. ; Jin, C. ; Bouri, E. ; Gao, W. ; Xu, Y. Realized higher-order moments spillovers between commodity and stock markets: Evidence from China. 2023 Journal of Commodity Markets. 30 -
- Zhang, Q. ; Hu, Y. ; Jiao, J. ; Wang, S. Is refined oil price regulation a “shock absorber” for crude oil price shocks?. 2023 Energy Policy. 173 -
Paper not yet in RePEc: Add citation now
Zhang, Y.J. ; Ma, S.J. Exploring the dynamic price discovery, risk transfer and spillover among INE, WTI and Brent crude oil futures markets: Evidence from the high-frequency data. 2021 International Journal of Finance and Economics. 26 2414-2435
Zhu, P. ; Tang, Y. ; Wei, Y. ; Dai, Y. ; Lu, T. Relationships and portfolios between oil and Chinese stock sectors: A study based on wavelet denoising-higher moments perspective. 2021 Energy. 217 -
Zhu, P. ; Tang, Y. ; Wei, Y. ; Lu, T. Multidimensional risk spillovers among crude oil, the US and Chinese stock markets: Evidence during the COVID-19 epidemic. 2021 Energy. 231 -