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How to calibrate Gaussian two-factor model using swaption
- Choi, Myeongsu;
- Kang, Hyoung-Goo
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0초록
We propose an efficient approximation of the swaption normal volatility to estimate the mean reversion separately from the other volatility parameters in the Gaussian two-factor model. We compare our two-step approach with a one-step method that calibrates all parameters simultaneously. The comparison is based on the data from interest rate market of Korea and the US. The parameter estimates of our proposed two-step method are more stable than those of the one-step method in that the latter is overly sensitive to market changes whereas the former is not. The proposed approach also eliminates many existing problems in the Gaussian two-factor model.
키워드
article; Korea; revertant; normal distribution; problem behavior
- 제목
- How to calibrate Gaussian two-factor model using swaption
- 저자
- Choi, Myeongsu; Kang, Hyoung-Goo
- 발행일
- 2023-02
- 유형
- Article
- 저널명
- PLoS ONE
- 권
- 18
- 호
- 2 February
- 페이지
- 1 ~ 21