Structural Breaks in Financial Time Series
Elena Andreou () and
Eric Ghysels ()
Additional contact information
Elena Andreou: University of Cyprus, Department of Economics
Eric Ghysels: University of North Carolina at Chapel Hill, Department of Economics
Chapter 37 in Handbook of Financial Time Series, 2009, pp 839-870 from Springer
Abstract:
Abstract This paper reviews the literature on structural breaks in financial time series. The second section discusses the implications of structural breaks in financial time series for statistical inference purposes. In the third section we discuss change-point tests in financial time series, including historical and sequential tests as well as single and multiple break tests. The fourth section focuses on structural break tests of financial asset returns and volatility using the parametric versus nonparametric classification as well as tests in the long memory and the distribution of financial time series. In concluding we provide some areas of future research in the subject.
Keywords: Structural Break; Stochastic Volatility; GARCH Model; Stochastic Volatility Model; Financial Time Series (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations: View citations in EconPapers (1)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:sprchp:978-3-540-71297-8_37
Ordering information: This item can be ordered from
http://www.springer.com/9783540712978
DOI: 10.1007/978-3-540-71297-8_37
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().