Diagnosing and Stabilizing Dynamic Correlations in Multivariate Stochastic Volatility Models

Decomposing forecasting losses into correlation versus scale components, the paper shows how to diagnose and stabilize dynamic-correlation volatility models using realized-volatility inputs.

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Featured in No. 133 on 2 Oct 2026 · 9 days after release

Figure 1: Cumulative stabilization gains. Each panel plots the cumulative stabilized-minus- diffuse MVQLIKE difference and its path-averaged attrR and attrD contributions. The two attribution paths sum exactly to the aggregate path. Negative values indicate improvements over the diffuse configurati…

Released: 23 Sep 2026
First featured: No. 133 · 2 Oct 2026
Published in: Not yet, as far as Semantic Scholar knows
Fanfare: 2 of 5
Identifier: RePEc:cte:wsrepe:50561
Authors: Hongfei Guo et al.

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

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