A Dynamic Model of Characteristic-Based Return Predictability

Working Paper: NBER ID: w25777

Authors: Aydoan Alti; Sheridan Titman

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.

Keywords: characteristic-based return predictability; investor beliefs; disruption climate; behavioral finance

JEL Codes: G02; G12


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Investor Overconfidence (G41)Mispricing (G19)
Disruption Climate (Q54)Firm Characteristics (L25)
Mispricing (G19)Predictable Return Differences (G11)
Investor Beliefs (G40)Return Predictability (G17)
Disruption Climate (Q54)Firm Profitability (L21)
Disruption Climate (Q54)Firm Growth Rates (L25)
Investor Overconfidence (G41)Characteristic-Sorted Portfolios Mispricing (G11)
Characteristic-Sorted Returns (C69)Value Premium (D46)

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