Journal of Computational and Applied Mathematics2022,Vol.39915.DOI:10.1016/j.cam.2021.113724

Default and prepayment options pricing and default probability valuation under VG model

Yilmaz, Bilgi Hekimoglu, A. Alper Selcuk-Kestel, A. Sevtap
Journal of Computational and Applied Mathematics2022,Vol.39915.DOI:10.1016/j.cam.2021.113724

Default and prepayment options pricing and default probability valuation under VG model

Yilmaz, Bilgi 1Hekimoglu, A. Alper 2Selcuk-Kestel, A. Sevtap3
扫码查看

作者信息

  • 1. Kahramanmaras Sutcu Imam Univ
  • 2. European Investment Bank EIB
  • 3. Middle East Tech Univ
  • 折叠

Abstract

In this paper, a new approach, the Variance Gamma (VG) model, which is used to capture unexpected shocks (e.g., Covid-19) in housing markets, is proposed to contribute to the standard option-based mortgage valuation methods. Based on the VG model, the closed-form solutions are performed for pricing mortgage default and prepayment options. It solves the options pricing equations explicitly and illustrates numerical results for both mortgage default and prepayment options' prices. Furthermore, the study enables researchers to monitor the default probability of mortgagors. Analyzing the effect of risks on default and prepayment options using simulations shows that the VG model captures the systematic and systemic (idiosyncratic) risks of default and prepayment options prices with closed-form solutions and computes the mortgage default probabilities. Therefore, it allows lenders a more advanced decision process compared to the standard option-based mortgage valuation method. (C) 2021 Elsevier B.V. All rights reserved.

Key words

Prepayment option/Default option/Default probability/Variance gamma process/Fourier transformation/Characteristic function/FIXED-RATE MORTGAGES/HOUSE PRICES/TIME/TERMINATIONS

引用本文复制引用

出版年

2022
Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN:0377-0427
参考文献量45
段落导航相关论文