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Realized Volatility Risk
http://hdl.handle.net/2261/32441
http://hdl.handle.net/2261/324414629234c-c003-4405-9cc5-16ab94e62067
| Item type | テクニカルレポート / Technical Report(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2013-05-31 | |||||
| タイトル | ||||||
| タイトル | Realized Volatility Risk | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Realized volatility | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | volatility of volatility | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | value-at-risk | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | forecasting | |||||
| 資源タイプ | ||||||
| 資源 | http://purl.org/coar/resource_type/c_18gh | |||||
| タイプ | technical report | |||||
| アクセス権 | ||||||
| アクセス権 | metadata only access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
| 著者 |
Allen, David E.
× Allen, David E.× McAleer, Michael× Scharth, Marcel |
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| 著者所属 | ||||||
| 著者所属 | School of Accounting, Finance and Economics Edith Cowan University | |||||
| 著者所属 | ||||||
| 著者所属 | Econometric Institute Erasmus School of Economics Erasmus University Rotterdam | |||||
| 著者所属 | ||||||
| 著者所属 | Tinbergen Institute | |||||
| 著者所属 | ||||||
| 著者所属 | Centre for International Research on the Japanese Economy (CIRJE) Faculty of Economics University of Tokyo | |||||
| 著者所属 | ||||||
| 著者所属 | VU University Amsterdam | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | In this paper we document that realized variation measures constructed from high-frequency returns reveal a large degree of volatility risk in stock and index returns, where we characterize volatility risk by the extent to which forecasting errors in realized volatility are substantive. Even though returns standardized by ex post quadratic variation measures are nearly gaussian, this unpredictability brings considerably more uncertainty to the empirically relevant ex ante distribution of returns. Carefully modeling this volatility risk is fundamental. We propose a dually asymmetric realized volatility (DARV) model, which incorporates the important fact that realized volatility series are systematically more volatile in high volatility periods. Returns in this framework display time varying volatility, skewness and kurtosis. We provide a detailed account of the empirical advantages of the model using data on the S&P 500 index and eight other indexes and stocks. | |||||
| 内容記述 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | 本文フィルはリンク先を参照のこと | |||||
| 書誌情報 |
Discussion paper series. CIRJE-F 巻 CIRJE-F-693, 発行日 2009-12 |
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| 書誌レコードID | ||||||
| 収録物識別子タイプ | NCID | |||||
| 収録物識別子 | AA11450569 | |||||
| フォーマット | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | application/pdf | |||||
| 日本十進分類法 | ||||||
| 主題Scheme | NDC | |||||
| 主題 | 335 | |||||
| 出版者 | ||||||
| 出版者 | 日本経済国際共同センター | |||||
| 出版者別名 | ||||||
| Center for International Research on the Japanese Economy | ||||||
| 関係URI | ||||||
| 識別子タイプ | URI | |||||
| 関連識別子 | http://www.cirje.e.u-tokyo.ac.jp/research/dp/2009/2009cf693ab.html | |||||
