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strategies that combine econometrics and machine learning when conducting forecasts with new big data sources. Specifically … reduction strategies and traditional econometrics approaches in forecast accuracy, there are further significant gains from …
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This paper analyzes the effect of non-constant elasticity of the pricing kernel on asset return characteristics in a rational expectations model. It is shown that declining elasticity of the pricing kernel can lead to predictability of asset returns and high and persistent volatility. Also,...
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For forecasting and economic analysis many variables are used in logarithms (logs). In time series analysis this transformation is often considered to stabilize the variance of a series. We investigate under which conditions taking logs is beneficial for forecasting. Forecasts based on the...
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countries. -- Global inflation ; conditional heteroskedasticity ; inflation forecasting …
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