Time-dependent lead-lag relationships between the VIX and VIX futures markets
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DOI: 10.1016/j.najef.2020.101196
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- Liu, Wenwen & Gui, Yiming & Qiao, Gaoxiu, 2022. "Dynamics lead-lag relationship of jumps among Chinese stock index and futures market during the Covid-19 epidemic," Research in International Business and Finance, Elsevier, vol. 61(C).
- Chen, Zhang-HangJian & Ren, Fei & Yang, Ming-Yuan & Lu, Feng-Zhi & Li, Sai-Ping, 2023. "Dynamic lead–lag relationship between Chinese carbon emission trading and stock markets under exogenous shocks," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 295-305.
- Huang, Yisu & Xu, Weiju & Huang, Dengshi & Zhao, Chenchen, 2023. "Chinese crude oil futures volatility and sustainability: An uncertainty indices perspective," Resources Policy, Elsevier, vol. 80(C).
- Zhu, Huimin & Xiao, Xinping & Kang, Yuxiao & Kong, Dekai, 2022. "Lead-lag grey forecasting model in the new community group buying retailing," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
- Shao, Ying-Hui & Yang, Yan-Hong & Zhou, Wei-Xing, 2022.
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- Ying-Hui Shao & Yan-Hong Yang & Wei-Xing Zhou, 2021. "How does economic policy uncertainty comove with stock markets: New evidence from symmetric thermal optimal path method," Papers 2106.04421, arXiv.org, revised May 2022.
- Pradhan, Rudra P. & Hall, John H. & du Toit, Elda, 2021. "The lead–lag relationship between spot and futures prices: Empirical evidence from the Indian commodity market," Resources Policy, Elsevier, vol. 70(C).
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More about this item
Keywords
VIX; VIX futures; Lead-lag relationship; Symmetric thermal optimal path;All these keywords.
JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
Statistics
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