A Practical Monte Carlo Method for Pricing Equity-Linked Securities with Time-Dependent Volatility and Interest Rate

  • Kim, Sangkwon; 
  • Lyu, Jisang; 
  • Lee, Wonjin; 
  • Park, Eunchae; 
  • Jang, Hanbyeol; 
  • ... Kim, Junseok; 
  • 외 1명
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초록

We develop a fast Monte Carlo simulation (MCS) for pricing equity-linked securities (ELS) with time-dependent volatility and interest rate. In this paper, we extend a recently developed fast MCS for pricing ELS. In the previous model, both the volatility and interest rate were constant. However, in the real finance market, volatility and interest rate are time-dependent parameters. In this work, we approximate the time-dependent parameters by piecewise constant functions and apply Brownian bridge technique. We present some numerical results of the proposed method. The computational results demonstrate the fastness of the proposed algorithm with equivalent accuracy with standard MCS. It is important for traders and hedgers considering derivatives to evaluate prices and risks quickly and accurately. Therefore, our algorithm will be very useful to practitioners in the ELS market.

키워드

Fast Monte Carlo method; Time-dependent volatility; Time-dependent interest rate; Brownian bridge; Black-Scholes equation; BARRIER OPTIONS; BLACK-SCHOLES
제목
A Practical Monte Carlo Method for Pricing Equity-Linked Securities with Time-Dependent Volatility and Interest Rate
저자
Kim, Sangkwon; Lyu, Jisang; Lee, Wonjin; Park, Eunchae; Jang, Hanbyeol; Lee, Chaeyoung; Kim, Junseok
DOI
10.1007/s10614-023-10394-3
발행일
2023-01-01
유형
Article; Early Access
저널명
Computational Economics
권
63
호
5
페이지
2069 ~ 2086