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  • 标题:Modeling Exchange Rate Volatility Dynamics of the Great Britain Pound to Ethiopian Birr Using the Semi-Parametric Non-Linear Fuzzy-EGARCH-ANN Model
  • 本地全文:下载
  • 作者:Geleta T. Mohammed ; Jane A. Aduda ; Ananda O. Kube
  • 期刊名称:Journal of Mathematical Finance
  • 印刷版ISSN:2162-2434
  • 电子版ISSN:2162-2442
  • 出版年度:2020
  • 卷号:10
  • 期号:4
  • 页码:598-611
  • DOI:10.4236/jmf.2020.104035
  • 出版社:Scientific Research Publishing
  • 摘要:In this paper, a robust analysis of volatility forecasting of the GBP-ETB exchange rate was provided using weekly data spanning the period June 30, 2003-January 24, 2020. To our knowledge, this was the first study that focuses on the GBP-ETB exchange rate using high-frequency data and the Fuzzy-EGARCH-ANN econometric model. The research finds that the best performing model in terms of one-step ahead forecasts based on realized volatility computed from the underlying daily data series is the Fuzzy-EGARCH-ANN(1, 2, 2, 1) with students t-distribution.
  • 关键词:Volatility Forecasting;ARCH;EGARCH;ANN;Semi-Parametric Non-Linear Fuzzy-EGARCH-ANN Model
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