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We investigate the question of whether macroeconomic variables contain information about future stock volatility beyond that contained in past volatility. We show that forecasts of GDP growth from the Federal Reserve's Survey of Professional Forecasters predict volatility in a cross-section of...
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vector regression (SVR) model to forecast realized volatility (RV). The first model is a residual-type model, where the RV is …
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forecasting performance of the HAR forest across multiple forecast horizons and across 186 S&P 500 constituents. This leads to … forest. In contrast to conventional random forests that approximate the volatility nonparametrically using local averaging …, the building blocks of our forest are HAR panel models. The local HAR panel models cover the established linear …
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