Economics at your fingertips  

Multivariate VaR: A Romanian Market study

Andrei Rusu

The Review of Finance and Banking, 2020, vol. 12, issue 1, 79-95

Abstract: This paper proposes a method of estimating Value-at-Risk by combining asymmetric multivariate GARCH models and filtered historical simulation (Barone-Adesi et al., 1999). Next, incremental VaR is implemented in order to decompose the portfolio and assess the risk of every individual component. Ten competitive models were estimated and subsequently back tested using five techniques. All methodologies were applied on a sample of 11 financial assets from Bucharest Stock Exchange between 2014-07-08 and 2019-10-04. The results indicate that the method using filtered historical simulation in combination with multivariate GARCH models that account for asymmetry of financial returns lead to good VaR estimates. The methods discussed in this paper could help an investor to create a better risk-optimized portfolio,

Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) 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:

Access Statistics for this article

The Review of Finance and Banking is currently edited by Victor Dragota; Bogdan Negrea

More articles in The Review of Finance and Banking from Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante Strada Mihai Eminescu nr.13-15, sector 1, Bucuresti, Romania. Contact information at EDIRC.
Bibliographic data for series maintained by Tatu Lucian ().

Page updated 2022-10-08
Handle: RePEc:rfb:journl:v:12:y:2020:i:1:p:79-95