<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The purpose of this paper is to attempt to classify risk which can be observed when one deals with data from the metals market. Usually the general definition of risk includes two dimensions. The first one is the probability of occurrence and the second one are the associated consequences of a set of hazardous scenarios. In this research the authors try to add a new dimension: the source of risk, which can be defined in terms of the level of turnover (volatility of volume) and price (volatility of returns). One can categorize risks in terms of multidimensional ranking based on a comparative evaluation of the consequences, probability, and source of a given risk. Another dimension is the chosen risk measures, in the meaning of the risk model. In risk analysis, some selected quantile risk measures were proposed: VaR, Expected Shortfall, Median Shortfall and GlueVaR. The empirical part presents a multidimensional risk analysis of the metal market.</p></abstract>

The purpose of this paper is to attempt to classify risk which can be observed when one deals with data from the metals market. Usually the general definition of risk includes two dimensions. The first one is the probability of occurrence and the second one are the associated consequences of a set of hazardous scenarios. In this research the authors try to add a new dimension: the source of risk, which can be defined in terms of the level of turnover (volatility of volume) and price (volatility of returns). One can categorize risks in terms of multidimensional ranking based on a comparative evaluation of the consequences, probability, and source of a given risk. Another dimension is the chosen risk measures, in the meaning of the risk model. In risk analysis, some selected quantile risk measures were proposed: VaR, Expected Shortfall, Median Shortfall and GlueVaR. The empirical part presents a multidimensional risk analysis of the metal market.

Risk Management on the Metals Market

Econometrics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Risk Management on the Metals Market"}

The purpose of this paper is to attempt to classify risk which can be observed when one deals with data from the metals market. Usually the general definition...

Risk Management on the Metals Market

Publié en ligne: 31 juil. 2020

Pages: 86 - 97

DOI: https://doi.org/10.15611/eada.2020.2.06

Mots clés
risk measure, modified GlueVaR, extreme risk, sources of risk, metals market

© 2020 Dominik Krężołek et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Risk Management on the Metals Market

Publié en ligne: 31 juil. 2020

Pages: 86 - 97

DOI: https://doi.org/10.15611/eada.2020.2.06

Mots clésrisk measure, modified GlueVaR, extreme risk, sources of risk, metals market

© 2020 Dominik Krężołek et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
risk measure, modified GlueVaR, extreme risk, sources of risk, metals market