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請使用永久網址來引用或連結此文件:
https://irlib.pccu.edu.tw/handle/987654321/48850
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| 題名: | Improving the realized GARCH's volatility forecast for Bitcoin with jump-robust estimators |
| 作者: | Hung, JC (Hung, Jui-Cheng)
Liu, HC (Liu, Hung-Chun)
Yang, JJ (Yang, J. Jimmy) |
| 貢獻者: | 財金系 |
| 關鍵詞: | Bitcoin
Realized GARCH model
Jump-robust realized measure
Realized bi-power variation
Realized tri-power variation |
| 日期: | 2020-04 |
| 上傳時間: | 2020-11-27 16:00:25 (UTC+8) |
| 摘要: | This study employs the realized GARCH (RGARCH) model to estimate the volatility of Bitcoin returns and measure the benefits of various scaled realized measures in forecasting volatility. Empirical results show that considerable price jumps occurred in the Bitcoin market, suggesting that a jump-robust realized measure is crucial to estimate Bitcoin volatility. The RGARCH model, especially the one with tri-power variation, outperforms the standard GARCH model. Additionally, the RGARCH model with jump-robust realized measures can provide steady forecasting performance. This study is timely given that the CME may release a Bitcoin option product and our results are relevant to option pricing. |
| 關聯: | NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE 卷冊: 52 文獻號碼: 101165 |
| 顯示於類別: | [財務金融學系 ] 期刊論文
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