Equity expectations of bond issuing using the variance gamma model

Investments in bonds offer a relatively stable growth rate and lower risks compared to other investment options.However, it is important to consider the risks involved, particularly credit risk.To assess credit risk, bond price valuation is necessary.This process aims to determine a company's ability to meet its debt payment obligations.A crucial factor in bond valuation is the value of equity.Currently, the geometric Brownian motion (GBM) model is used to develop equity expectations in bond valuations.The GBM model assumes ln returns of assets follow Normal distribution.Another model approach was used in this study, namely the Variance Gamma (VG) model.The Variance Gamma distribution is a non-Gaussian distribution that has three parameters.The three parameters are used to control volatility, kurtosis, and skewness.

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Publication Details

Journal
AIP conference proceedings
Published
2025-01-01
DOI
https://doi.org/10.1063/5.0262231
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Equity expectations of bond issuing using the variance gamma model

Abdurakhman Abdurakhman, Dedi Rosadi, Abdul Hoyyi
AIP conference proceedings
Stochastic processes and financial applications
article

Equity expectations of bond issuing using the variance gamma model

Abdurakhman Abdurakhman, Dedi Rosadi, Abdul Hoyyi
article en

Abstract

Investments in bonds offer a relatively stable growth rate and lower risks compared to other investment options.However, it is important to consider the risks involved, particularly credit risk.To assess credit risk, bond price valuation is necessary.This process aims to determine a company's ability to meet its debt payment obligations.A crucial factor in bond valuation is the value of equity.Currently, the geometric Brownian motion (GBM) model is used to develop equity expectations in bond valuations.The GBM model assumes ln returns of assets follow Normal distribution.Another model approach was used in this study, namely the Variance Gamma (VG) model.The Variance Gamma distribution is a non-Gaussian distribution that has three parameters.The three parameters are used to control volatility, kurtosis, and skewness.

AIP conference proceedingsVol. 3317
Diponegoro University (ID), Universitas Gadjah Mada (ID)
Openalex Percentile: Top 77%
Stochastic processes and financial applications
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Equity expectations of bond issuing using the variance gamma model — Abdurakhman Abdurakhman, Dedi Rosadi, et al. · AIP conference proceedings (2025) | TGRS Research Map | TGRS