Skip to the main content

Econviews : Review of Contemporary Entrepreneurship, Business, and Economic Issues, Vol. 29 No. 1, 2016.

Preliminary communication

MODELING EXCHANGE RATE VOLATILITIES IN CROATIA

Mile Bošnjak orcid id orcid.org/0000-0002-7663-198X ; SKDD – CCP Smart Clear Inc., Zagreb, Croatia
Vlatka Bilas orcid id orcid.org/0000-0002-9021-6651 ; University of Zagreb, Faculty of Economics and Business, Zagreb, Croatia
Ivan Novak orcid id orcid.org/0000-0003-1473-7049 ; University of Zagreb, Faculty of Economics and Business, Zagreb, Croatia

Full text: english PDF 308 Kb

page 81-94

downloads: 1.091

cite

Abstract

Modeling and forecasting exchange rate volatility has important implications in a range of areas in macroeconomics and finance. A number of models have been developed in empirical finance literature to investigate this volatility across different regions and countries. Well known and frequently applied models to estimate exchange rate volatility are the autoregressive conditional heteroscedastic (ARCH) model advanced by Engle (1982) and the generalized (GARCH) model developed independently by Bollerslev (1986) and Taylor (1986). This paper examines the performance of several ARCH models for the EUR and USD against the HRK on daily data sets within the time period from 1997 to 2015. Evaluating the models through standard information criteria showed that the GARCH (2,1) is the best fitted model  for the EUR/HRK and the GARCH (1,1) for the USD/HRK daily return volatility. In accordance to the estimated models there is no empirical evidence that negative and positive shocks imply a different next period volatility of the daily EUR/HRK as well as the USD/HRK exchange rate return.

Keywords

GARCH model; heteroscedasticity; exchange rate volatility; Croatia

Hrčak ID:

161035

URI

https://hrcak.srce.hr/161035

Publication date:

30.6.2016.

Visits: 2.112 *