Using Return-Series Clustering to Identify Single-Asset Regimes

Summary

The document considers whether clustering observations from one asset’s price or return history can reveal groups of similar market behavior. Its central application is regime identification: clustering returns may group periods with comparable characteristics and help describe how an asset’s behavior changes over time.

The response confirms that this approach has been used for regime identification in a single asset’s return series. It does not explain a particular clustering algorithm, distance measure, feature design, or validation method, and it does not resolve whether clustering prices or returns is preferable. The material is therefore a brief pointer to an application rather than a practical method. Any regime interpretation would depend on choices about the data and clustering procedure, which the document leaves open.

Key ideas

• Clustering observations from one asset’s history can be considered for regime identification.
• The response specifically points to clustering a single asset’s returns.
• The document does not compare price clustering with return clustering or prescribe an algorithm.

Tags

# Clustering the observations in a price or returns series


# Clustering the observations in a price or returns series












Given one stock, what value would there be in clustering the individual sample observations within that stock's historical prices series, or its return series? is univariate clustering done in finance?

Clustering would allow the formation of a distance matrix that shows how far pairs of observations within that univariate time series are from one another, grouped together by similarity rather than the chaotic randomness seen in their original form, likely causing similar market regimes within that stock's history to be clumped together (or not). Why would this be useful or not useful?

and which dataset makes more sense, clustering observations of prices or returns?

## Answer by user42108 (score 2)

https://quant.stackexchange.com/a/59132

"what value would there be in clustering the individual sample observations within that stock's historical prices series, or its return series? is univariate clustering done in finance?"

Seen clustering used for regime identification in the time series of returns for a single asset.

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.