Time-Varying Window Length for Correlation Forecasts

Forecasting correlations between stocks and commodities is important for diversification across asset classes and other risk management decisions. Correlations forecasts are affected by model uncertainty, sources of which can include uncertainty about changing fundamentals and associated parameters (model instability), structural breaks and non-linearities due, for example, to regime switching. We use approaches that weight historical data …