How to calibrate Gaussian two-factor model using swaption

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초록

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.

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articleKorearevertantnormal distributionproblem behavior
제목
How to calibrate Gaussian two-factor model using swaption
저자
Choi, MyeongsuKang, Hyoung-Goo
DOI
10.1371/journal.pone.0280829
발행일
2023-02
유형
Article
저널명
PLoS ONE
18
2 February
페이지
1 ~ 21

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