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Most papers in the portfolio choice literature have examined linear predictability frameworks based on the idea that simple but flexible Vector Autoregressive (VAR) models can be expanded to produce portfolio allocations that hedge against the bull and bear dynamics typical of financial markets...
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data using natural language processing, and then combines the data with a deep learning model to forecast future stock …
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This paper examines to what extent the momentum spread ratio (MSR) can predict momentum profits. The momentum spread ratio as a potential proxy of investor underreaction can significantly predict the momentum, industry momentum, and residual momentum, especially after 1994, suggesting that...
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's information set for the myopic stock-bond portfolio. In-sample I find that the best forecast of the volatility and correlation is …
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