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A Dynamic Model of Characteristic-Based Return Predictability / Aydoğan Alti, Sheridan Titman.

By: Contributor(s): Material type: TextTextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w25777.Publication details: Cambridge, Mass. National Bureau of Economic Research 2019.Description: 1 online resource: illustrations (black and white)Subject(s): Online resources: Available additional physical forms:
  • Hardcopy version available to institutional subscribers
Abstract: We present a dynamic model that links characteristic-based return predictability to systematic factors that determine the evolution of firm fundamentals. In the model, an economy-wide disruption process reallocates profits from existing businesses to new projects and thus generates a source of systematic risk for portfolios of firms sorted on value, profitability, and asset growth. If investors are overconfident about their ability to evaluate the disruption climate, these characteristic-sorted portfolios exhibit persistent mispricing. The model generates predictions about the conditional predictability of characteristic-sorted portfolio returns and illustrates how return persistence increases the likelihood of observing characteristic-based anomalies.
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April 2019.

We present a dynamic model that links characteristic-based return predictability to systematic factors that determine the evolution of firm fundamentals. In the model, an economy-wide disruption process reallocates profits from existing businesses to new projects and thus generates a source of systematic risk for portfolios of firms sorted on value, profitability, and asset growth. If investors are overconfident about their ability to evaluate the disruption climate, these characteristic-sorted portfolios exhibit persistent mispricing. The model generates predictions about the conditional predictability of characteristic-sorted portfolio returns and illustrates how return persistence increases the likelihood of observing characteristic-based anomalies.

Hardcopy version available to institutional subscribers

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