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

Author

Listed:
  • Sangkwon Kim

    (Korea University)

  • Jisang Lyu

    (Korea University)

  • Wonjin Lee

    (Korea University)

  • Eunchae Park

    (Korea University)

  • Hanbyeol Jang

    (Korea University)

  • Chaeyoung Lee

    (Korea University)

  • Junseok Kim

    (Korea University)

Abstract

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.

Suggested Citation

  • Sangkwon Kim & Jisang Lyu & Wonjin Lee & Eunchae Park & Hanbyeol Jang & Chaeyoung Lee & Junseok Kim, 2024. "A Practical Monte Carlo Method for Pricing Equity-Linked Securities with Time-Dependent Volatility and Interest Rate," Computational Economics, Springer;Society for Computational Economics, vol. 63(5), pages 2069-2086, May.
    • Handle: RePEc:kap:compec:v:63:y:2024:i:5:d:10.1007_s10614-023-10394-3
    DOI: 10.1007/s10614-023-10394-3
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    References listed on IDEAS

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