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An efficient method for pricing foreign currency options
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AI
DOI：10.1016/j.intfin.2021.101295.png)
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We propose an efficient method for pricing foreign currency options given that foreign currency returns have heavy-tailed distributions. In our approach, the heavy tail of the distribution are modeled using Student-t distribution rather than normal distribution, and the parameters of Student-t distribution are estimated using the Method of Moments Estimator (MME). For verification purposes, we perform an empirical analysis based on actual foreign currency option prices. The results show that our foreign currency option pricing model captures more precision in distribution of currency returns and provides a better fit to the data compared to the option pricing models commonly used by currency traders. Our model is also computationally simpler than these models and is easier to apply in academic and practical settings. (C) 2021 Elsevier B.V. All rights reserved.
Keyword:
Foreign currency option
Option pricing model
Heavy-tailed distribution
Student-t distribution
期刊
J
IF:
6.1
论文数:
1.5K
被引数:
5.8K
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