Methods for quantitative risk assessment based on VaR: comparative analysis

At present, when increasing uncertainty, volatility and turbulence are the main attributes of economic activity, the role of risk management as a tool for ensuring the economic and financial security of economic entities is increasing. Risk management provides a risk forecast in a simple and underst...

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Main Authors: L. N. Orlova, A. R. Sayakhetdinov
Format: Article
Language:English
Published: Orenburg State University 2023-04-01
Series:Интеллект. Инновации. Инвестиции
Subjects:
Online Access:http://intellekt-izdanie.osu.ru/en/archive_new/2-2023/2-2023-pp-63-74.html
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author L. N. Orlova
A. R. Sayakhetdinov
author_facet L. N. Orlova
A. R. Sayakhetdinov
author_sort L. N. Orlova
collection DOAJ
description At present, when increasing uncertainty, volatility and turbulence are the main attributes of economic activity, the role of risk management as a tool for ensuring the economic and financial security of economic entities is increasing. Risk management provides a risk forecast in a simple and understandable form, suggests directions and methods for mitigation. For most business entities, quantitative risk assessment is the most acceptable and understandable, and therefore, in recent decades, the Value at Risk (VaR) methodology for assessing asset risk exposure has been used, aimed at assessing and minimizing possible asset value losses. The purpose of the study is to summarize theoretical approaches and best practices for applying the Value at Risk methodology to substantiate and assess financial risks. The object of the study is scientific approaches to the definition of VaR as a measure of risk; the subject of the study is economic relations and patterns that arise in the process of forecasting and minimizing the financial risks of economic entities. The methods of logical analysis, generalization, structuring, economic and mathematical methods were chosen as the main research methods. The empirical basis of the study was data from open information resources, analytical agencies, and statistical materials. The information base of the study is open sources, accumulating data on the quotation of shares of economic entities. The novelty of the study lies in the generalization of the possibilities of applying the VaR methodology for assessing the risks of assets of various business entities, determining the ways of interpreting this indicator depending on the approaches used to determine it. As conclusions and recommendations, the authors present directions for the practical application of the VaR methodology in the presence of various amounts of information and input data.
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spelling doaj.art-d766f520d79442c5babbce4685f778802023-05-26T08:13:42ZengOrenburg State UniversityИнтеллект. Инновации. Инвестиции2077-71752023-04-0126374https://doi.org/10.25198/2077-7175-2023-2-63Methods for quantitative risk assessment based on VaR: comparative analysisL. N. Orlova0https://orcid.org/0000-0002-8144-4900A. R. Sayakhetdinov1https://orcid.org/0009-0002-5506-2658Financial University under the Government of the Russian FederationFinancial University under the Government of the Russian FederationAt present, when increasing uncertainty, volatility and turbulence are the main attributes of economic activity, the role of risk management as a tool for ensuring the economic and financial security of economic entities is increasing. Risk management provides a risk forecast in a simple and understandable form, suggests directions and methods for mitigation. For most business entities, quantitative risk assessment is the most acceptable and understandable, and therefore, in recent decades, the Value at Risk (VaR) methodology for assessing asset risk exposure has been used, aimed at assessing and minimizing possible asset value losses. The purpose of the study is to summarize theoretical approaches and best practices for applying the Value at Risk methodology to substantiate and assess financial risks. The object of the study is scientific approaches to the definition of VaR as a measure of risk; the subject of the study is economic relations and patterns that arise in the process of forecasting and minimizing the financial risks of economic entities. The methods of logical analysis, generalization, structuring, economic and mathematical methods were chosen as the main research methods. The empirical basis of the study was data from open information resources, analytical agencies, and statistical materials. The information base of the study is open sources, accumulating data on the quotation of shares of economic entities. The novelty of the study lies in the generalization of the possibilities of applying the VaR methodology for assessing the risks of assets of various business entities, determining the ways of interpreting this indicator depending on the approaches used to determine it. As conclusions and recommendations, the authors present directions for the practical application of the VaR methodology in the presence of various amounts of information and input data.http://intellekt-izdanie.osu.ru/en/archive_new/2-2023/2-2023-pp-63-74.htmlrisk managementfinancial securityquantitative risk assessment methodsvalue at risk methodology
spellingShingle L. N. Orlova
A. R. Sayakhetdinov
Methods for quantitative risk assessment based on VaR: comparative analysis
Интеллект. Инновации. Инвестиции
risk management
financial security
quantitative risk assessment methods
value at risk methodology
title Methods for quantitative risk assessment based on VaR: comparative analysis
title_full Methods for quantitative risk assessment based on VaR: comparative analysis
title_fullStr Methods for quantitative risk assessment based on VaR: comparative analysis
title_full_unstemmed Methods for quantitative risk assessment based on VaR: comparative analysis
title_short Methods for quantitative risk assessment based on VaR: comparative analysis
title_sort methods for quantitative risk assessment based on var comparative analysis
topic risk management
financial security
quantitative risk assessment methods
value at risk methodology
url http://intellekt-izdanie.osu.ru/en/archive_new/2-2023/2-2023-pp-63-74.html
work_keys_str_mv AT lnorlova methodsforquantitativeriskassessmentbasedonvarcomparativeanalysis
AT arsayakhetdinov methodsforquantitativeriskassessmentbasedonvarcomparativeanalysis