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An Empirical Evaluation of GARCH Models in Value-at-Risk Estimation: Evidence from the Macedonian Stock Exchange

100%
Bucevska V.
Business Systems Research Journal
|
2013
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vol. 4
|
issue 1
49-64
EN
Background: In light of the latest global financial crisis and the ongoing sovereign debt crisis, accurate measuring of market losses has become a very current issue. One of the most popular risk measures is Value-at-Risk (VaR). Objectives: Our paper has two main purposes. The first is to test the relative performance of selected GARCH-type models in terms of their ability of delivering volatility estimates. The second one is to contribute to extend the very scarce empirical research on VaR estimation in emerging financial markets. Methods/Approach: Using the daily returns of the Macedonian stock exchange index-MBI 10, we have tested the performance of the symmetric GARCH (1,1) and the GARCH-M model as well as of the asymmetric EGARCH (1,1) model, the GARCH-GJR model and the APARCH (1,1) model with different residual distributions. Results: The most adequate GARCH family models for estimating volatility in the Macedonian stock market are the asymmetric EGARCH model with Student’s t-distribution, the EGARCH model with normal distribution and the GARCH-GJR model. Conclusion: The econometric estimation of VaR is related to the chosen GARCH model. The obtained findings bear important implications regarding VaR estimation in turbulent times that have to be addressed by investors in emerging capital markets
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An analysis of financial crisis by an early warning system model: The case of the EU candidate countries

100%
Bucevska V.
Business and Economic Horizons
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2011
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vol. 4
|
issue 1
13-26
EN
VThe objective of this paper is to estimate the relative contribution of a wide array of determinants to outbreak of financial crises in the EU candidate countries (Croatia, Macedonia and Turkey) and to identify the best-performing early warning indicators of financial crises. We have estimated a binomial logit model of the three EU candidate countries for the period 2005Q1 to 2009Q4 using actual quarterly data. It has been found that the capital account indicators (gross external debt relative to export) and the financial sector variables (the domestic loans and the total bank deposits in relation to GDP) have the highest contribution of all early warning indicators, which is in line with the previous studies of financial shocks in emerging markets. The obtained empirical results give support to the thesis that financial crises in the EU candidate countries can not be solely explained and predicted by only one group of variables, but by a number of different types of indicators. Based on our empirical findings, the EU candidate countries are strongly suggested to decrease their stock of external debt to GNP and to continually analyze and close monitor the financial deepening processes in their countries.
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