<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Market risk with its major components, such as the risk of interest rate instruments, currency risk, and risk related to stock and commodity investigations, represents the risk of losses in balance sheet and off-balance sheet positions, resulting from negative market price movements. Portfolios of instruments traded for short-term profits, called trading portfolios, are exposed to market risk or risk of loss, resulting from changes in the prices of instruments, such as stocks, bonds, and currencies. This paper, through theoretical and empirical methods, assesses risk by using the probability distribution of daily variations in government bond yields. Long-term government securities in most cases have a higher return due to the higher level of risk assumed regarding changes in risk factors such as interest rates, which, when raised above a certain threshold, cause a price decrease, which illustrates the price sensitivity to long-term bonds. Using Value at Risk as the main element for determining the maximum possible loss on investment in a trading book, as well as statistical tests to measure the similarity between two or more distributions such as the Kolmogorov-Smirnov test, Anderson -Darling or Chi-squared, we identified the most representative theoretical probabilistic distribution both for the value of losses and for the frequency of risk events. At the same time, the most used distributions to manage the market risk by advanced methods and, of course, the distributions used in this paper, were Weibull and Pareto (including the generalized form), as well as other distributions, because they better capture the asymmetry in queues and the presence of thick tails. Modeling the distribution of losses requires choosing from a set of probable distributions, the one with the highest log-likelihood.</p>
</abstract>

Market risk with its major components, such as the risk of interest rate instruments, currency risk, and risk related to stock and commodity investigations, represents the risk of losses in balance sheet and off-balance sheet positions, resulting from negative market price movements. Portfolios of instruments traded for short-term profits, called trading portfolios, are exposed to market risk or risk of loss, resulting from changes in the prices of instruments, such as stocks, bonds, and currencies. This paper, through theoretical and empirical methods, assesses risk by using the probability distribution of daily variations in government bond yields. Long-term government securities in most cases have a higher return due to the higher level of risk assumed regarding changes in risk factors such as interest rates, which, when raised above a certain threshold, cause a price decrease, which illustrates the price sensitivity to long-term bonds. Using Value at Risk as the main element for determining the maximum possible loss on investment in a trading book, as well as statistical tests to measure the similarity between two or more distributions such as the Kolmogorov-Smirnov test, Anderson -Darling or Chi-squared, we identified the most representative theoretical probabilistic distribution both for the value of losses and for the frequency of risk events. At the same time, the most used distributions to manage the market risk by advanced methods and, of course, the distributions used in this paper, were Weibull and Pareto (including the generalized form), as well as other distributions, because they better capture the asymmetry in queues and the presence of thick tails. Modeling the distribution of losses requires choosing from a set of probable distributions, the one with the highest log-likelihood.

Market Risk Management - Modeling the Distribution of Losses Using Romanian Securities

National University of Political Studies and Public Administration

Management Dynamics in the Knowledge Economy

This is an open-access article licensed under the Creative Commons Attribution-NonCommercial-NoDerivs License

Market risk with its major components, such as the risk of interest rate instruments, currency risk, and risk related to stock and commodity investigations,...

Market Risk Management - Modeling the Distribution of Losses Using Romanian Securities

Online veröffentlicht: 30. Dez. 2021

Seitenbereich: 432 - 446

Eingereicht: 15. Aug. 2021

Akzeptiert: 20. Okt. 2021

DOI: https://doi.org/10.2478/mdke-2021-0029

Schlüsselwörter
market risk management, value at risk, distribution of losses

© 2021 Ioannis Chrysikos, published by Sciendo

This is an open-access article licensed under the Creative Commons Attribution-NonCommercial-NoDerivs License

Market Risk Management - Modeling the Distribution of Losses Using Romanian Securities

Online veröffentlicht: 30. Dez. 2021

Seitenbereich: 432 - 446

Eingereicht: 15. Aug. 2021

Akzeptiert: 20. Okt. 2021

DOI: https://doi.org/10.2478/mdke-2021-0029

Schlüsselwörtermarket risk management, value at risk, distribution of losses

© 2021 Ioannis Chrysikos, published by Sciendo

This is an open-access article licensed under the Creative Commons Attribution-NonCommercial-NoDerivs License

Schlüsselwörter
market risk management, value at risk, distribution of losses