Robust online scale estimation in time series : regression-free approach

Arbeitspapier

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 finite sample properties are given. A financial and a medical application illustrate the use of the procedures. - breakdown point ; influence function ; online monitoring ; outliers ; robust scale estimation

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Technical Report ; No. 2007,17

Classification and Topics

• Subject: Zeitreihenanalyse ; Volatilität ; Schätztheorie ; Robustes Verfahren ; Theorie

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Gelper, Sarah ; Schettlinger, Karen ; Croux, Christophe ; Gather, Ursula
• Event: Veröffentlichung
• (who): Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
• (where): Dortmund
• (when): 2007

Further information

• Handle: http://hdl.handle.net/10419/25002
• Last update: 10.03.2025, 11:43 AM CET