The Effectiveness of the GlueVaR Risk Measure on the Metals Market – the Application of Omega Performance Measure

Authors

  • Dominik Krężołek Uniwersytet Ekonomiczny w Katowicach, Wydział Informatyki i Komunikacji, Katedra Demografii i Statystyki Ekonomicznej
  • Grażyna Trzpiot Uniwersytet Ekonomiczny w Katowicach, Wydział Informatyki i Komunikacji, Katedra Demografii i Statystyki Ekonomicznej

DOI:

https://doi.org/10.18778/0208-6018.331.10

Keywords:

Omega risk measure, GlueVaR, effectiveness, risk, metals market

Abstract

Decision‑making process is an individual matter for each investor and the strategy they choose, reflects the level of accepted risk. Nevertheless, any investor wants to minimize huge losses while maximizing profits. As far as the measure of risk is concerned, literature is full of examples of tools which help to evaluate the risk. However, the level of the risk usually differs, depending on circumstances. In this paper we present two non‑classical risk measures: Omega performance risk measure and GlueVaR risk measure. Both of them require a threshold to be set, which reflects the starting point for the investment to be considered as a loss. The effectiveness of the Omega and GlueVaR risk measures is compared using the example of metals market investments.

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References

Artzner P., Delbaen F., Eber J.M., Heath D. (1999), Coherent Measures of Risk, “Mathematical Finance”, no. 9, pp. 203–228.
Google Scholar

Belles‑Sampera J., Guillén M., Santolino M. (2014), Beyond Value‑at‑Risk: GlueVaR Distortion Risk Measures, “Risk Analysis”, vol. 34, no. 1, pp. 121–134.
Google Scholar

Belles‑Sampera J., Guillén M., Santolino M. (2016), What attitudes to risk underlie distortion risk measure choice?, “Insurance: Mathematics and Economics”, vol. 68, pp. 101–109.
Google Scholar

Bertrand P., Prigent J.‑L. (2011), Omega Performance Measure and Portfolio Insurance, “Journal of Banking & Finance”, vol. 35, issue 7, pp. 1811–1823.
Google Scholar

Jajuga K. (2009), Zarządzanie ryzykiem, Wydawnictwo Naukowe PWN, Warszawa.
Google Scholar

Kazemi H., Schneeweis T., Gupta R. (2004), Omega as a Performance Measure, “Journal of Performance Measurement”, vol. 8, no. 3, pp. 16–25.
Google Scholar

Keating C., Shadwick W.F. (2002a), An Introduction to Omega, The Finance Development Centre, London.
Google Scholar

Keating C., Shadwick W.F. (2002b), A Universal Performance Measure, “Journal of Performance Measurement”, vol. 6, no. 3, pp. 59–84.
Google Scholar

Michalska E., Dudzińska‑Baryła R. (2015), Związek funkcji Omega z dominacją stochastyczną, “Studia Ekonomiczne. Zeszyty Naukowe Uniwersytetu Ekonomicznego w Katowicach. Informatyka i Ekonometria 2”, no. 237, pp. 70–78
Google Scholar

Pichura M. (2013), Miernik Omega jako wszechstronna miara efektywności inwestycji, „Studia Ekonomiczne. Innowacje w Finansach i Ubezpieczeniach – Metody Matematyczne i Informatyczne”, no. 146/13, pp. 89–99.
Google Scholar

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Published

2018-01-19

How to Cite

Krężołek, D., & Trzpiot, G. (2018). The Effectiveness of the GlueVaR Risk Measure on the Metals Market – the Application of Omega Performance Measure. Acta Universitatis Lodziensis. Folia Oeconomica, 5(331), 153–167. https://doi.org/10.18778/0208-6018.331.10

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