Vesna Karadzic
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Vesna Karadzic has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
Bojan Pejovic
Univ Montenegro, Podgorica, Montenegro
1 shared publication- Julija Cerović Smolović
Quantitative Economics, Faculty of Economics, University of Montenegro, Podgorica, Montenegro
1 shared publication - Sergej Gričar
Faculty of Business and Management Sciences, University of Novo Mesto, Na Loko 2, 8000 Novo Mesto, Slovenia
1 shared publication - Tamara Backović
Faculty of Economics, The University of Montenegro, Ul. Jovana Tomaševića 37, 81110 Podgorica, Montenegro
1 shared publication - Štefan Bojnec
Faculty of Management, University of Primorska, Izolska Vrata 2, SI-6101 Koper, Slovenia
1 shared publication
Latest Publications
- Open Access
- 28 June 2023
- Published by MDPI AG in Journal of Risk and Financial Management
- Vol. 16 (7) , 315
Montenegrin Stock Exchange Market on a Short-Term Perspective
The objective of this study is to analyse the constitution of the emerging Montenegrin stock exchange. Four methodological time-series econometric steps are involved: the augmented Dickey–Fuller (ADF) test, run test, autocorrelation function (ACF) test, and Hurst test. The study utilises a daily data vector from 5 January 2004 to 20 June 2023, with a specific focus on the period encompassing the growth and peak of market stocks in 2007, followed by the significant 2008 financial crisis and subsequent developments thereafter. The analysis culminates on 28 May 2018, which is considered one of the lowest points in the Montenegrin stock exchange market in a comparative time-series assessment. The results of the tests conducted in this study do not provide empirical evidence supporting the random walk theory and its returns on aggregated shocks in the Montenegrin stock exchange market. By reviewing previous empirical studies and presenting new empirical findings, this study confirms the presence of stochastic trends in co-movements in finance, contributing to a deeper understanding of emerging stock exchange markets. Study implications support greater reliance on market efficiency, risk management, and portfolio diversification.
- 28 June 2023
- Published by MDPI AG in Journal of Risk and Financial Management
- Vol. 16 (7) , 315
Open AccessMontenegrin Stock Exchange Market on a Short-Term Perspective
The objective of this study is to analyse the constitution of the emerging Montenegrin stock exchange. Four methodological time-series econometric steps are involved: the augmented Dickey–Fuller (ADF) test, run test, autocorrelation function (ACF) test, and Hurst test. The study utilises a daily data vector from 5 January 2004 to 20 June 2023, with a specific focus on the period encompassing the growth and peak of market stocks in 2007, followed by the significant 2008 financial crisis and subsequent developments thereafter. The analysis culminates on 28 May 2018, which is considered one of the lowest points in the Montenegrin stock exchange market in a comparative time-series assessment. The results of the tests conducted in this study do not provide empirical evidence supporting the random walk theory and its returns on aggregated shocks in the Montenegrin stock exchange market. By reviewing previous empirical studies and presenting new empirical findings, this study confirms the presence of stochastic trends in co-movements in finance, contributing to a deeper understanding of emerging stock exchange markets. Study implications support greater reliance on market efficiency, risk management, and portfolio diversification.
- 1 May 2021
- Published by Bucharest University of Economic Studies in Amfiteatru Economic
- Vol. 23 (57) , 517-532
Inflation Forecasting in the Western Balkans and EU: A Comparison of Holt-Winters, ARIMA and NNAR Models
- 1 May 2021
- Published by Bucharest University of Economic Studies in Amfiteatru Economic
- Vol. 23 (57) , 517-532
Inflation Forecasting in the Western Balkans and EU: A Comparison of Holt-Winters, ARIMA and NNAR Models
- Open Access
- 1 January 2015
- Published by National Library of Serbia in Economic Annals
- Vol. 60 (206) , 87-116
Extreme value theory in emerging markets: Evidence from the Montenegrin stock exchange
The concept of Value at Risk(VaR) estimates the maximum loss of a financial position at a given time for a given probability. This paper considers the adequacy of the methods that are the basis of extreme value theory in the Montenegrin emerging market before and during the global financial crisis. In particular, the purpose of the paper is to investigate whether the peaks-over-threshold method outperforms the block maxima method in evaluation of Value at Risk in emerging stock markets such as the Montenegrin market. The daily return of the Montenegrin stock market index MONEX20 is analyzed for the period January 2004 - February 2014. Results of the Kupiec test show that the peaks-over-threshold method is significantly better than the block maxima method, but both methods fail to pass the Christoffersen independence test and joint test due to the lack of accuracy in exception clustering when measuring Value at Risk. Although better, the peaks-over-threshold method still cannot be treated as an accurate VaR model for the Montenegrin frontier stock market.
- 1 January 2015
- Published by National Library of Serbia in Economic Annals
- Vol. 60 (206) , 87-116
Open AccessExtreme value theory in emerging markets: Evidence from the Montenegrin stock exchange
The concept of Value at Risk(VaR) estimates the maximum loss of a financial position at a given time for a given probability. This paper considers the adequacy of the methods that are the basis of extreme value theory in the Montenegrin emerging market before and during the global financial crisis. In particular, the purpose of the paper is to investigate whether the peaks-over-threshold method outperforms the block maxima method in evaluation of Value at Risk in emerging stock markets such as the Montenegrin market. The daily return of the Montenegrin stock market index MONEX20 is analyzed for the period January 2004 - February 2014. Results of the Kupiec test show that the peaks-over-threshold method is significantly better than the block maxima method, but both methods fail to pass the Christoffersen independence test and joint test due to the lack of accuracy in exception clustering when measuring Value at Risk. Although better, the peaks-over-threshold method still cannot be treated as an accurate VaR model for the Montenegrin frontier stock market.