Market The (De)merits of using Integral Transforms in Predicting Structural Break Points
Katlego Kola () and
Tumellano Sebehela ()
Additional contact information
Katlego Kola: WITS University
Tumellano Sebehela: WITS University
International Real Estate Review, 2021, vol. 24, issue 3, 405-467
Abstract:
The structural break points of returns and volatility are generally illustrated by using uni-and-multivariate time series models. Despite the elegance of uni-and-multivariate models, the interchangeability of different structural break points is not well accounted for in those models. This study uses integral transforms (Fourier and Laplace) to illustrate the interchangeability of structural break points of indices. Furthermore, structural break points are validated with commonly used unit root structural break tests [(i) augmented Dickey Fuller (ADF), (ii) ADF-generalized least squares (GLS), Phillips Perron (PP) 1988 and Zivot-Andrews (ZA) 1992 tests]. The results illustrate persistent interchangeability and interconnectedness patterns of structural break points throughout the time series. Moreover, the structural break points tests confirm the findings of the integral transforms.
Keywords: Integral transforms; structural breaks (search for similar items in EconPapers)
JEL-codes: C35 G12 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.gssinst.org/irer/wp-content/uploads/20 ... Break-Points-1-1.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:ire:issued:v:24:n:03:2021:p:405-467
Ordering information: This journal article can be ordered from
Global Social Science Institute, 9200 Corporate Blvd., Suite 420 Rockville, MD 20850
https://www.gssinst.org/gssinst/index.html
Access Statistics for this article
International Real Estate Review is currently edited by Professor Sing Tien Foo and Professor Ko Wang
More articles in International Real Estate Review from Global Social Science Institute Global Social Science Institute, 9200 Corporate Blvd., Suite 420 Rockville, MD 20850.
Bibliographic data for series maintained by IRER Graduate Assistant/Webmaster ().