Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


2017 | 3 (57) | 101-112

Article title

The use of Value-at-Risk methodology in the assessment of investor’s risk attitudes on the precious metals market

Content

Title variants

PL
Zastosowanie metodologii Value-at-Risk w ocenie postaw inwestora wobec ryzyka na rynku metali

Languages of publication

PL EN

Abstracts

EN
The decision making process is directly associated with risk, no matter what area of interest it is. In the case of financial investments we can define a special type of risk called investment risk. Taking into account the financial time series of assets’ characteristics (prices, returns), small deviations of future values comparing to their expected level are not a major threat to the investor’s portfolio. In contrast, if the changes in prices/returns are significant, unpredictable and result from unexpected and adverse events, one should pay attention to the proper risk measurement. The topic of this article refers to the new family of risk measures related to investments in assets on the precious metals market. These risk measures are called the GlueVaR risk measures. The name itself suggests that the GlueVaR is related to the commonly used measure of risk – VaR. As will be presented in the article, the family of the GlueVaR risk measures may be expressed as a linear combination of VaR and conditional VaR for fixed tolerance levels. Moreover, the new risk measure allows for assessing risk more personally, taking into account the investor’s attitudes towards risk. If portfolio investments are of interest, the GlueVaR risk measures meet the assumption of subadditivity. This property of risk measure is required, as it is strongly related to the diver-sification problem.

Keywords

Contributors

  • University of Economics in Katowice

References

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-a4385d5c-7f17-4fa5-b553-f0886296f7a8
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.