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innovative models for prices can be estimated and used to make forecastsContains pioneering contributions about the volatility of … of a squared linear process -- 3 MODELLING PRICE VOLATILITY -- 3.1 Introduction -- 3.2 Elementary variance models. …
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In this paper, we apply machine learning to forecast the conditional variance of long-term stock returns measured in … inflation rate. In particular, we apply in a two-step procedure a fully nonparametric local-linear smoother and choose the set … of covariates as well as the smoothing parameters via cross-validation. We find that volatility forecastability is much …
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