Can Chinese security companies use Value at Risk (VaR) to measure market risk they faced: an empirical study?

Many security companies have been launched since the establishment of the Chinese stock market, and the market has been steadily growing up. Until recently, Chinese stock market collapse despite the countrys economy growth, which cause many security companies and fund companies to go bankruptcy. Man...

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Main Author: Tan, Xiao
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2006
Subjects:
Online Access:https://eprints.nottingham.ac.uk/20245/
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author Tan, Xiao
author_facet Tan, Xiao
author_sort Tan, Xiao
building Nottingham Research Data Repository
collection Online Access
description Many security companies have been launched since the establishment of the Chinese stock market, and the market has been steadily growing up. Until recently, Chinese stock market collapse despite the countrys economy growth, which cause many security companies and fund companies to go bankruptcy. Many factors have been believed directly and indirectly to incur this problem, but the most important reason is the poor management of market risks. Value at risk (VaR) models have become a very popular tool for measuring the market risk of a portfolio of financial assets, so the main objective of this paper is to analyze the market risk faced by the security companies, and then find an appropriate model of VaR to measure the market risk for Chinese securities companies. Based on the modern market risk management theory, this paper analyzes the current market risks Chinese securities company is facing and presents the Chinese securities company risk management system. Next, it introduces VaR method and conducts an empirical research of VaR application based on the Chinese financial industry current situation. The main finding of this research suggests that: (1) Chinese security companies need to enhance the market risk management system, and realize the importance of establishing VaR concept to measure the market risk. (2) The rate of return of Chinese stock market does not obey the normal distribution, and it has the peak and fat tail characteristic and the high stage ARCH effect. (3) The GARCH model can be used to portray the above characteristics well. The Kupiec test result showed that under 95% confidence level, the GARCH model passed the back-testing. Therefore, empirical research has proved that GARCH model can be incorporated into VaR to measure market risk by Chinese security companies.
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spelling nottingham-202452017-12-30T15:04:44Z https://eprints.nottingham.ac.uk/20245/ Can Chinese security companies use Value at Risk (VaR) to measure market risk they faced: an empirical study? Tan, Xiao Many security companies have been launched since the establishment of the Chinese stock market, and the market has been steadily growing up. Until recently, Chinese stock market collapse despite the countrys economy growth, which cause many security companies and fund companies to go bankruptcy. Many factors have been believed directly and indirectly to incur this problem, but the most important reason is the poor management of market risks. Value at risk (VaR) models have become a very popular tool for measuring the market risk of a portfolio of financial assets, so the main objective of this paper is to analyze the market risk faced by the security companies, and then find an appropriate model of VaR to measure the market risk for Chinese securities companies. Based on the modern market risk management theory, this paper analyzes the current market risks Chinese securities company is facing and presents the Chinese securities company risk management system. Next, it introduces VaR method and conducts an empirical research of VaR application based on the Chinese financial industry current situation. The main finding of this research suggests that: (1) Chinese security companies need to enhance the market risk management system, and realize the importance of establishing VaR concept to measure the market risk. (2) The rate of return of Chinese stock market does not obey the normal distribution, and it has the peak and fat tail characteristic and the high stage ARCH effect. (3) The GARCH model can be used to portray the above characteristics well. The Kupiec test result showed that under 95% confidence level, the GARCH model passed the back-testing. Therefore, empirical research has proved that GARCH model can be incorporated into VaR to measure market risk by Chinese security companies. 2006 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/20245/1/06MAlixxt3.pdf Tan, Xiao (2006) Can Chinese security companies use Value at Risk (VaR) to measure market risk they faced: an empirical study? [Dissertation (University of Nottingham only)] (Unpublished) VaR Market risk GARCH model
spellingShingle VaR
Market risk
GARCH model
Tan, Xiao
Can Chinese security companies use Value at Risk (VaR) to measure market risk they faced: an empirical study?
title Can Chinese security companies use Value at Risk (VaR) to measure market risk they faced: an empirical study?
title_full Can Chinese security companies use Value at Risk (VaR) to measure market risk they faced: an empirical study?
title_fullStr Can Chinese security companies use Value at Risk (VaR) to measure market risk they faced: an empirical study?
title_full_unstemmed Can Chinese security companies use Value at Risk (VaR) to measure market risk they faced: an empirical study?
title_short Can Chinese security companies use Value at Risk (VaR) to measure market risk they faced: an empirical study?
title_sort can chinese security companies use value at risk (var) to measure market risk they faced: an empirical study?
topic VaR
Market risk
GARCH model
url https://eprints.nottingham.ac.uk/20245/