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Sequential Tests for Detecting Variance Regime Shifts

Article Quant Q&A · Author: Dail
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Summary

The document responds to a question about finding structural breaks in the variance or volatility of financial time series, where the Chow test used by the questioner was not suitable. It points to sequential change-detection methods, particularly a sequential F-test, and cites research describing how to detect shifts in both the mean and variance. It also identifies an R package for sequential parametric and nonparametric change detection as a practical implementation route.

The material is a brief collection of references rather than a worked procedure. It provides no financial-series example, calibration guidance, assumptions, or comparison of false-alarm rates and detection delays. A follow-up note warns that an older software version had bugs in variance regime-shift calculations and says a newer release addressed them. Researchers would therefore need to consult the cited paper and package documentation, check implementation details, and validate the method on their own data before using detected breaks in trading or risk decisions.

Key ideas

  • The question concerns variance breaks that a Chow test may not detect appropriately.
  • A sequential F-test is cited as an approach to detecting regime changes in mean and variance.
  • An R package offers sequential parametric and nonparametric change-detection methods.
  • The document provides references rather than a worked financial application or testing guidance.
  • An older software release reportedly had bugs in variance shift calculations.

Tags

StatisticsVolatilityRisk management
Full text
# How to detect structural breaks in variance?


# How to detect structural breaks in variance?












I'm looking for a method to automatically detect structural breaks, I tried the Chow test, It works good but it doesn't work for breaks in variance. Do you know a test to check structural break in variance/volatility for financial timeseries?

## Answer by vonjd (score 9)

https://quant.stackexchange.com/a/2452

Have a look here: http://www.climatelogic.com/

The method is based on a sequential F-test, see also this paper: Rodionov, S.N., 2005b: Detecting regime shifts in the mean and variance: Methods and specific examples. In: Large-Scale Disturbances (Regime Shifts) and Recovery in Aquatic Ecosystems: Challenges for Management Toward Sustainability, V. Velikova and N. Chipev (Eds.), UNESCO-ROSTE/BAS Workshop on Regime Shifts, 14-16 June 2005, Varna, Bulgaria, 68-72.

With R the following package can be used: Sequential Parametric and Nonparametric Change Detection

The Vignette has more information: Parametric and Nonparametric Sequential Change Detection in R: The cpm package

Even more information can be found on the homepage of the author (incl. new developments and research): Gordon J. Ross

## Answer by redis (score 2)

https://quant.stackexchange.com/a/7116

The Bering Climate web site has the older version of the software that has some bugs when calculating regime shifts in variance. Those bugs appear to be fixed in the newer version available at www.climatelogic.com.

Shown in full with attribution under the source's licence. Licence: CC BY-SA 4.0 (Stack Exchange)

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.