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Structured SDEs for Realized GARCH: Continuous-Time Volatility Modelling and Component-Level Analysis
We propose a structured continuous-time stochastic volatility model for one-day-ahead integrated-variance forecasting. The model introduces a jointly evolving realized-measure state that feeds directly into latent variance dynamics, while correlated Brownian innovations capture return-linked depende
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