EconPapers    
Economics at your fingertips  
 

Investigation of Credit Default Swaps using Detrended Fluctuation Analysis which is an Econophysical Technique

Nurbanu Bursa () and Hüseyin Tatlidä°l ()
Additional contact information
Nurbanu Bursa: Hacettepe Üniversitesi
Hüseyin Tatlidä°l: Hacettepe Üniversitesi

Eurasian Eononometrics, Statistics and Emprical Economics Journal, 2015, vol. 2, issue 2, 25-33

Abstract: This paper investigates the econophysics concept and Detrended Fluctuation Analysis (DFA) which known as an econophysics technique and is used to determine the presence or absence of long-term dependency in time series. Besides, as an application for this econophysics method, statistical behaviour of Turkey? s five-year credit default swap data (CDS) from 2001 to 2014 is analyzed. Thus, at first time, dependency structure of CDS series is investigated by means of this paper. According to obtained results, it can be say, daily Turkey? s CDS series has persistent long-term dependency. This means that whenever the time series have been up in the last period, it is more likely that it will continue to be up or vice versa.

Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://eurasianacademy.org/index.php/econstat/article/view/905 (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:eas:econst:v:2:y:2015:i:2:p:25-33

DOI: 10.17740/eas.stat.2015�V2�03

Access Statistics for this article

More articles in Eurasian Eononometrics, Statistics and Emprical Economics Journal from Eurasian Academy Of Sciences
Bibliographic data for series maintained by Kutluk Kagan Sumer ().

 
Page updated 2025-03-19
Handle: RePEc:eas:econst:v:2:y:2015:i:2:p:25-33