10.5937/industrija42-5983 = Parametric and nonparametric VaR daily returns estimation

التفاصيل البيبلوغرافية
العنوان: 10.5937/industrija42-5983 = Parametric and nonparametric VaR daily returns estimation
المؤلفون: Isidora Ljumović, Vladimir Đaković, Goran B. Anđelić
المصدر: Industrija. 42:43-54
بيانات النشر: Centre for Evaluation in Education and Science (CEON/CEES), 2014.
سنة النشر: 2014
مصطلحات موضوعية: Order (exchange), Financial risk, Financial market, Economics, Econometrics, Context (language use), Investment (macroeconomics), Domestic market, Value at risk, Vector autoregression
الوصف: Taking into account current trends and opportunities in the transitional markets, the subject of the research is to analyze and quantify the different Value at Risk (VaR) calculation models in the light of investment risk assessment performance in the domestic market. The research objective is to gain a series of qualitative and quantitative information about the possibilities of effective application of different VaR models in investment decision-making in order to minimize risks of investment activities. The research focuses on the domestic financial market and covers the period 2006-2012. The research methodology involves the use of MANOVA analysis, discriminant analysis, and Roy's test, and is adapted to the specific characteristics of the transitional market of the Republic of Serbia. The research results confirm the prominent place, role and importance of different VaR models in the light of the investment risk quantification in the domestic market, with reference to the specificities between particular VaR models. In this sense, the results will be useful both for academic and professional communities, in the context of the successful application of different VaR models in decision-making about investment activities. Normal 0 false false false EN-US X-NONE X-NONE Normal 0 false false false EN-US X-NONE X-NONE
تدمد: 0350-0373
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::c6ad1cfd73d712cd1821f30a9b31662b
https://doi.org/10.5937/industrija42-5983
حقوق: OPEN
رقم الأكسشن: edsair.doi...........c6ad1cfd73d712cd1821f30a9b31662b
قاعدة البيانات: OpenAIRE