A Comparative Analysis of Value at Risk Measurement on Emerging Stock Markets: Case of Montenegro

Cerović Julija (), Lipovina-Božović Milena () and Vujošević Saša ()
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Cerović Julija: University of Montenegro, Faculty of Economics, Podgorica, Montenegro
Lipovina-Božović Milena: University of Montenegro, Faculty of Economics, Podgorica, Montenegro
Vujošević Saša: University of Montenegro, Faculty of Economics, Podgorica, Montenegro

Business Systems Research, 2015, vol. 6, issue 1, 36-55

Abstract: Background: The concept of value at risk gives estimation of the maximum loss of financial position at a given time for a given probability. The motivation for this analysis lies in the desire to devote necessary attention to risks in Montenegro, and to approach to quantifying and managing risk more thoroughly. Objectives: This paper considers adequacy of the most recent approaches for quantifying market risk, especially of methods that are in the basis of extreme value theory, in Montenegrin emerging market before and during the global financial crisis. In particular, the purpose of the paper is to investigate whether extreme value theory outperforms econometric and quantile evaluation of VaR in emerging stock markets such as Montenegrin market. Methods/Approach: Daily return of Montenegrin stock market index MONEX20 is analyzed for the period January, 2004 - February, 2014. Value at Risk results based on GARCH models, quantile estimation and extreme value theory are compared. Results: Results of the empirical analysis show that the assessments of Value at Risk based on extreme value theory outperform econometric and quantile evaluations. Conclusions: It is obvious that econometric evaluations (ARMA(2,0)- GARCH(1,1) and RiskMetrics) proved to be on the lower bound of possible Value at Risk movements. Risk estimation on emerging markets can be focused on methodology using extreme value theory that is more sophisticated as it has been proven to be the most cautious model when dealing with turbulent times and financial turmoil.

Keywords: extreme value theory; Value at Risk; fat tails; GARCH; RiskMetrics; peak over threshold; generalized Pareto distribution (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:bit:bsrysr:v:6:y:2015:i:1:p:36-55

DOI: 10.1515/bsrj-2015-0003

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