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HAR-RV Model

The HAR-RV model, introduced by Fulvio Corsi in 2009, forecasts realized volatility by decomposing it into daily, weekly, and monthly components. It is a simple linear regression that mirrors how market participants with different investment horizons react to volatility, and it naturally captures the long-memory behaviour of volatility.

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Heterogeneous Autoregressive Model of Realized Volatility

Rekod kaedah taksonomik · regression-model / finance

Corsi, F. (2009). A Simple Approximate Long-Memory Model of Realized Volatility. Journal of Financial Econometrics, 7(2), 174–196. · DOI 10.1093/jjfinec/nbp001

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