Title: Robust online scale estimation in time series: A regression-free approach
Authors: Gelper, Sarah
Schettlinger, K
Croux, Christophe
Gather, U
Issue Date: 2007
Publisher: K.U.Leuven - Faculty of Economics and Applied Economics
Series Title: DTEW - KBI_0717 pages:1-40
Abstract: This paper presents variance extraction procedures for univariate time series. The volatility of a times series is monitored allowing for non-linearities, jumps and outliers in the level. The volatility is measured using the height of triangles formed by consecutive observations of the time series. This idea was proposed by Rousseeuw and Hubert (1996, Regression-free and robust estimation of scale for bivariate data, Computational Statistics and Data Analysis, 21, 67{85) in the bivariate setting. This paper extends their procedure to apply for online scale estimation in time series analysis. The statistical properties of the new methods are derived and nite sample properties are given. A nancial and a medical application illustrate the use of the procedures.
Publication status: published
KU Leuven publication type: IR
Appears in Collections:Research Center for Operations Research and Business Statistics (ORSTAT), Leuven

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