ESTIMATING RISK ON THE CAPITAL MARKET WITH VaR METHOD

Sinisa Bogdan, Suzana Baresa and Zoran Ivanovic

UTMS Journal of Economics, 2015, vol. 6, issue 1, 165-175

Abstract: The two basic questions that every investor tries to answer before investment are questions about predicting return and risk. Risk and return are generally considered two positively correlated sizes, during the growth of risk it is expected increase of return to compensate the higher risk. The quantification of risk in the capital market represents the current topic since occurrence of securities. Together with estimated future returns it represents starting point of any investment. In this study it is described the history of the emergence of VaR methods, usefulness in assessing the risks of financial assets. Three main Value at Risk (VaR) methodologies are decribed and explained in detail: historical method, parametric method and Monte Carlo method. After the theoretical review of VaR methods it is estimated risk of liquid stocks and portfolio from the Croatian capital market with historical and parametric VaR method, after which the results were compared and explained.

Keywords: Value at Risk; Parametric; Monte Carlo; Capital market (search for similar items in EconPapers)
JEL-codes: G17 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://utmsjoe.mk/files/Vol.%206%20No.%201/6-1-14-UTMS_Journal_of_Economics.pdf Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ris:utmsje:0146

Access Statistics for this article

UTMS Journal of Economics is currently edited by Prof. Ace Milenkovski, PhD

More articles in UTMS Journal of Economics from University of Tourism and Management, Skopje, Macedonia Contact information at EDIRC.
Bibliographic data for series maintained by Assistant Professor. Dejan Nakovski, PhD ().