Structural Breaks in Financial Time Series
University of Cyprus - Department of Economics
University of North Carolina (UNC) at Chapel Hill - Department of Economics; University of North Carolina (UNC) at Chapel Hill - Finance Area
October 6, 2006
This paper reviews the literature on structural breaks in financial time series. First we discuss the implications of structural breaks in financial time series for statistical inference purposes. In the second section we discuss the relevant asymptotic results and issues involved in general classifications of change-point tests in financial time series such historical versus sequential tests, parametric versus nonparametric tests and single versus multiple break tests. The third section reviews a number of structural change tests by focusing on certain characteristics or moments of financial time series such as structural break tests in the financial asset returns and volatility, long memory, tails and distribution. In addition, we review changepoint tests for the co-dependence between financial asset returns processes in the context of multivariate volatility models, copulae and last but not least asset pricing. In concluding we provide some areas of future research in the subject.
Number of Pages in PDF File: 55
Keywords: Structural change, historical tests, sequential tests
JEL Classification: C1, C23working papers series
Date posted: December 31, 2007 ; Last revised: September 18, 2012
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