期刊論文
| 學年 | 91 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2002-09-01 |
| 作品名稱 | An Assessment of Empirical Model Performance When Financial Market Transactions are Observed at Different Data Frequencies: An Application to East Asian Exchange Rates |
| 作品名稱（其他語言） | |
| 著者 | 王凱立; Wang, Kai-li; Fawson, Chris; Barrett, Christopher B. |
| 單位 | 淡江大學國際貿易學系暨國際企業研究所 |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Review of Quantitative Finance and Accounting 19(2), pp.111-129 |
| 摘要 | This paper compares the performance of alternative models of east Asian exchange rates at different data frequencies. Selected models employ different specifications of the conditional variance and the conditional error distribution. Conditional variance specifications include: homoscedasticity, GARCH, LGARCH, and EGARCH. Conditional error distribution specifications include normal and Student t. The best exchange rate model specification is clearly conditional on data frequency. Higher frequency (daily, weekly) data commonly exhibit characteristics that demand more sophisticated estimation methods than analysts commonly employ. These characteristics generally vanish at lower (monthly, quarterly) frequencies. Overall we find significant benefit from accommodating heteroscedasticity and leptokurtic properties of the conditional distribution as data frequency increases. Using a likelihood ratio test we compare the relative gain from addressing heteroscedasticity (through use of GARCH models) versus accommodation of leptokurtosis. This comparison suggests that the gains from correct specification of the conditional distribution dominate those obtained from addressing problems of heteroscedasticity. |
| 關鍵字 | exchange rates;data frequency;GARCH;distributions;leptokurtosis |
| 語言 | en |
| ISSN | 0924-865X |
| 期刊性質 | 國內 |
| 收錄於 | |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | TWN |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/24411 ) |