Stylized Model of Lévy Process in Risk Estimation

Risk management is a popular and important problem in academia and industry. From a small-scale system, such as city logistics, to a large-scale system, such as the supply chain of a global industrial or financial system, efficient risk management is required to prevent loss from uncertainty. In thi...

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Main Authors: Xin Yun, Yanyi Ye, Hao Liu, Yi Li, Kin-Keung Lai
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/6/1414
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author Xin Yun
Yanyi Ye
Hao Liu
Yi Li
Kin-Keung Lai
author_facet Xin Yun
Yanyi Ye
Hao Liu
Yi Li
Kin-Keung Lai
author_sort Xin Yun
collection DOAJ
description Risk management is a popular and important problem in academia and industry. From a small-scale system, such as city logistics, to a large-scale system, such as the supply chain of a global industrial or financial system, efficient risk management is required to prevent loss from uncertainty. In this paper, we assume that risk factors follow the Lévy process, and propose a stylized model, based on regression, that can estimate the risk of a complicated system under the framework of nest simulation. Specifically, portfolio risk estimation using the Lévy process is discussed as an example. The stylized model simplifies the risk factors artificially, and provides useful basis functions to fit the portfolio loss with little computational effort. Numerical experiments showed the good performance of the stylized model in estimating risk for the Variance Gamma process and the Normal Inverse Gaussian process, which are two examples of the Lévy process.
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spelling doaj.art-9b2eb256a87e435fa40c1fe9a3a5319b2023-11-17T12:28:15ZengMDPI AGMathematics2227-73902023-03-01116141410.3390/math11061414Stylized Model of Lévy Process in Risk EstimationXin Yun0Yanyi Ye1Hao Liu2Yi Li3Kin-Keung Lai4Silc Business School, Shanghai University, Shanghai 200444, ChinaSchool of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, ChinaFundamental Technology Center, China Construction Bank Financial Technology Co., Ltd., Shanghai 200120, ChinaSchool of Management, Xi’an Jiaotong University, Xi’an 710049, ChinaInternational Business School, Shaanxi Normal University, Xi’an 710062, ChinaRisk management is a popular and important problem in academia and industry. From a small-scale system, such as city logistics, to a large-scale system, such as the supply chain of a global industrial or financial system, efficient risk management is required to prevent loss from uncertainty. In this paper, we assume that risk factors follow the Lévy process, and propose a stylized model, based on regression, that can estimate the risk of a complicated system under the framework of nest simulation. Specifically, portfolio risk estimation using the Lévy process is discussed as an example. The stylized model simplifies the risk factors artificially, and provides useful basis functions to fit the portfolio loss with little computational effort. Numerical experiments showed the good performance of the stylized model in estimating risk for the Variance Gamma process and the Normal Inverse Gaussian process, which are two examples of the Lévy process.https://www.mdpi.com/2227-7390/11/6/1414risk estimationstylized modelLévy processnested simulationregression
spellingShingle Xin Yun
Yanyi Ye
Hao Liu
Yi Li
Kin-Keung Lai
Stylized Model of Lévy Process in Risk Estimation
Mathematics
risk estimation
stylized model
Lévy process
nested simulation
regression
title Stylized Model of Lévy Process in Risk Estimation
title_full Stylized Model of Lévy Process in Risk Estimation
title_fullStr Stylized Model of Lévy Process in Risk Estimation
title_full_unstemmed Stylized Model of Lévy Process in Risk Estimation
title_short Stylized Model of Lévy Process in Risk Estimation
title_sort stylized model of levy process in risk estimation
topic risk estimation
stylized model
Lévy process
nested simulation
regression
url https://www.mdpi.com/2227-7390/11/6/1414
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AT yanyiye stylizedmodeloflevyprocessinriskestimation
AT haoliu stylizedmodeloflevyprocessinriskestimation
AT yili stylizedmodeloflevyprocessinriskestimation
AT kinkeunglai stylizedmodeloflevyprocessinriskestimation