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題名 Jump Spillover in Energy Futures Markets: The Bayesian Viewpoint
作者 Liu, Qingfu
杜化宇
Tu, Anthony
貢獻者 財管系
關鍵詞 Bayesian factor; energy futures; jump-diffusion model; MCMC; spillover; stochastic volatility
日期 2009-08
上傳時間 21-Nov-2018 16:29:24 (UTC+8)
摘要 In this paper, we investigate jump spillover effects between five energy (petroleum) futures. In order to identify the latent historical jumps of each energy futures, we use a Bayesian MCMC approach to estimate a jump-diffusion model on each energy futures. We examine the simultaneous jump intensities of pairs of energy futures and the probabilities that jumps in crude oil (and natural gas) cause jumps or usually large returns in other energy futures. In all cases, we find significant evidence of jump spillover.
關聯 Social Science Research Network
資料類型 article
DOI https://dx.doi.org/10.2139/ssrn.1460492
dc.contributor 財管系
dc.creator (作者) Liu, Qingfu
dc.creator (作者) 杜化宇
dc.creator (作者) Tu, Anthony
dc.date (日期) 2009-08
dc.date.accessioned 21-Nov-2018 16:29:24 (UTC+8)-
dc.date.available 21-Nov-2018 16:29:24 (UTC+8)-
dc.date.issued (上傳時間) 21-Nov-2018 16:29:24 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/120976-
dc.description.abstract (摘要) In this paper, we investigate jump spillover effects between five energy (petroleum) futures. In order to identify the latent historical jumps of each energy futures, we use a Bayesian MCMC approach to estimate a jump-diffusion model on each energy futures. We examine the simultaneous jump intensities of pairs of energy futures and the probabilities that jumps in crude oil (and natural gas) cause jumps or usually large returns in other energy futures. In all cases, we find significant evidence of jump spillover.en_US
dc.format.extent 569137 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Social Science Research Network
dc.subject (關鍵詞) Bayesian factor; energy futures; jump-diffusion model; MCMC; spillover; stochastic volatilityen_US
dc.title (題名) Jump Spillover in Energy Futures Markets: The Bayesian Viewpointen_US
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.2139/ssrn.1460492
dc.doi.uri (DOI) https://dx.doi.org/10.2139/ssrn.1460492