Beyond Volatility: Using Differential Entropy to Detect Financial Market Regimes

This repository contains R code implementing differential entropy estimation with heavy-tailed kernel functions to identify financial market regimes beyond traditional variance-based risk measures. We demonstrate how entropy-based methods effectively detect structural breaks and shifts in tail behavior by analyzing log-returns of the Ibovespa, S&P 500, Nikkei, and SSE indices from 1998 to 2025.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.28592723
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Beyond Volatility: Using Differential Entropy to Detect Financial Market Regimes

Figshare
Complex Systems and Time Series Analysis
article

Beyond Volatility: Using Differential Entropy to Detect Financial Market Regimes

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Abstract

This repository contains R code implementing differential entropy estimation with heavy-tailed kernel functions to identify financial market regimes beyond traditional variance-based risk measures. We demonstrate how entropy-based methods effectively detect structural breaks and shifts in tail behavior by analyzing log-returns of the Ibovespa, S&P 500, Nikkei, and SSE indices from 1998 to 2025.

Figshare
Openalex Percentile: Top 43%
Complex Systems and Time Series Analysis
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Beyond Volatility: Using Differential Entropy to Detect Financial Market Regimes · Figshare (2025) | TGRS Research Map | TGRS