Normalizing Logarithms Of Realized Volatility In An Arfima Model
, 2016 Modelling realized volatility with high-frequency returns is popular as it is an unbiased and efficient estimator of return volatility. A computationally simple model is fitting the logarithms of the realized volatilities with a fractionally integrated long-memory Gaussian process.
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