CAViaR-based forecast for oil price risk | |
Huang, Dashan2; Yu, Baimin3; Fabozzi, Frank J.1; Fukushima, Masao4 | |
刊名 | ENERGY ECONOMICS
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2009-07-01 | |
卷号 | 31期号:4页码:511-518 |
关键词 | VaR CAViaR Oil price risk Mixed data regression |
ISSN号 | 0140-9883 |
DOI | 10.1016/j.eneco.2008.12.006 |
英文摘要 | As a benchmark for measuring market risk, value-at-risk (VaR) reduces the risk associated with any kind of asset to just a number (amount in terms of a currency), which can be well understood by regulators, board members. and other interested parties. This paper employs a new VaR approach due to Engle and Manganelli [Engle. R.F., Manganelli, S., 2004. CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles. journal of Business and Economic Statistics 22, 367-381] to forecasting oil price risk. In doing so, we provide two original contributions by introducing a new exponentially weighted moving average CAViaR model and developing a mixed data regression model for multi-period VaR prediction. (C) 2008 Elsevier B.V. All rights reserved. |
WOS研究方向 | Business & Economics |
语种 | 英语 |
出版者 | ELSEVIER SCIENCE BV |
WOS记录号 | WOS:000267236000001 |
内容类型 | 期刊论文 |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/7299] ![]() |
专题 | 中国科学院数学与系统科学研究院 |
通讯作者 | Fabozzi, Frank J. |
作者单位 | 1.Yale Univ, Sch Management, New Haven, CT 06520 USA 2.Washington Univ, John M Olin Sch Business, St Louis, MO 63130 USA 3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 4.Kyoto Univ, Grad Sch Informat, Dept Appl Math & Phys, Kyoto 6068501, Japan |
推荐引用方式 GB/T 7714 | Huang, Dashan,Yu, Baimin,Fabozzi, Frank J.,et al. CAViaR-based forecast for oil price risk[J]. ENERGY ECONOMICS,2009,31(4):511-518. |
APA | Huang, Dashan,Yu, Baimin,Fabozzi, Frank J.,&Fukushima, Masao.(2009).CAViaR-based forecast for oil price risk.ENERGY ECONOMICS,31(4),511-518. |
MLA | Huang, Dashan,et al."CAViaR-based forecast for oil price risk".ENERGY ECONOMICS 31.4(2009):511-518. |
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