Time Series Dynamics of Short Term Interest Rates in Turkey
Emel Siklar and
İlyas Şıklar
Business and Economic Research, 2021, vol. 11, issue 1, 92-108
Abstract:
Interest rate functions as the cornerstone for the heavy majority of the financial models. The high volatility in interest rates in the financial crisis of 2008/09 and resulting increased uncertainty led many researchers to focus on modeling the dynamics of changes in short term interest rates. This study aims to analyze the volatility of short-term interest rate in Turkey in terms of overnight repo rate and to forecast this rate for the next six months by modelling this volatility. For this purpose, the ARCH family models like ARCH, GARCH and EGARCH were preferred to use since they are the most common methods in the literature. Using the weekly frequency data for the period of January 2002 - January 2021, the model that best describes the stochastic volatility in the data was found to be the GARCH (1.1) model. As a result of the fact that the in-sample estimates were found sufficient, the interest rate estimates for the next 6 months were realized.
Keywords: Volatility; GARCH; EGARCH; Turkey (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.macrothink.org/journal/index.php/ber/article/view/18229/14232 (application/pdf)
http://www.macrothink.org/journal/index.php/ber/article/view/18229 (text/html)
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:mth:ber888:v:11:y:2021:i:1:p:92-108
Access Statistics for this article
Business and Economic Research is currently edited by Daisy Young
More articles in Business and Economic Research from Macrothink Institute
Bibliographic data for series maintained by Technical Support Office ( this e-mail address is bad, please contact ).