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Bivariate GARCH-Jump Model

초록

영어

In this paper we consider the pricing of quanto derivatives with the bivariate GARCH-Jump model, in which jumps take place in the price kernel, and consequently in foreign asset returns and in exchange rates. In the empirical investigation, we use Dow Jones, NASDAQ and NIKKEI 225 indexes, exchange rates and corresponding index warrants data to examine the effects of jump on derivative pricing. The empirical results suggest that the unrestricted bivariate NGARCH-Jump model outperforms the other four models considered in this study. The evidence also reveals that the average pricing error is the smallest for the unrestricted bivariate NGARCH-Jump model. Hence, the nonlinear asymmetric model with jumps captures the dynamics of index return and exchange rate well.

목차

ABSTRACT
 1. Introduction
 2. The Model
  2.1 Volatility Dynamics
  2.2 Approximation of Risk Premium and Specification of Various Models
 3. Data and Methodology
  3.1 Description of IndexWarrant Data
  3.2 Methodology
 4. Empirical Results
 5. Conclusion
 References
 Appendix
 Table

저자정보

  • Chuang-Chang Chang Department of Finance, National Central University Jung-Li 320, Taiwan
  • Hsiao-Wei Ho Department of Finance, National Central University Jung-Li 320, Taiwan
  • Tzu-Hsiang Liao Department of Finance, Ming Chuan University, Taipei 111, Taiwan.
  • Yaw-Huei Wang Department of Finance,National Taiwan University, Taipei 106, Taiwan.

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