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