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Alternative Asymmetric Stochastic Volatility Models
http://hdl.handle.net/2261/26662
http://hdl.handle.net/2261/2666283d000cd-896d-4798-ad1d-b121131d2566
| 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 | Alternative Asymmetric Stochastic Volatility Models | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Stochastic volatility | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | asymmetric effects | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | leverage | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | threshold | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | indicator function | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | importance sampling | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | numerical simulations | |||||
| 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 |
Asai, Manabu
× Asai, Manabu× McAleer, Michael |
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| 著者所属 | ||||||
| 著者所属 | Faculty of Economics Soka University, Japan | |||||
| 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 The Netherlands | |||||
| 著者所属 | ||||||
| 著者所属 | Center for International Research on the Japanese Economy (CIRJE) Faculty of Economics University of Tokyo | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | The stochastic volatility model usually incorporates asymmetric effects by introducing the negative correlation between the innovations in returns and volatility. In this paper, we propose a new asymmetric stochastic volatility model, based on the leverage and size effects. The model is a generalization of the exponential GARCH (EGARCH) model of Nelson (1991). We consider categories for asymmetric effects, which describes the difference among the asymmetric effect of the EGARCH model, the threshold effects indicator function of Glosten, Jagannathan and Runkle (1992), and the negative correlation between the innovations in returns and volatility. The new model is estimated by the efficient importance sampling method of Liesenfeld and Richard (2003), and the finite sample properties of the estimator are investigated using numerical simulations. Four financial time series are used to estimate the alternative asymmetric SV models, with empirical asymmetric effects found to be statistically significant in each case. The empirical results for S&P 500 and Yen/USD returns indicate that the leverage and size effects are significant, supporting the general model. For TOPIX and USD/AUD returns, the size effect is insignificant, favoring the negative correlation between the innovations in returns and volatility. We also consider standardized t distribution for capturing the tail behavior. The results for Yen/USD returns show that the model is correctly specified, while the results for three other data sets suggest there is scope for improvement. | |||||
| 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-655, 発行日 2009-08 |
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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/2009/2009cf655ab.html | |||||
