Value Premium and Equity Term Structures of Value and Growth Firms

This paper studies the impact of information processing and learning about expected future cashflows on the level and timing of risk premiums in the cross section of firms. Learning with information sources of different qualities endogenously generates value firms, growth firms, and a value premium in equilibrium. Furthermore, the learning model predicts an upward-sloping equity term structure for value firms and a flat equity term structure for growth firms. Using earnings, return, and news data on value and growth firms, we show that the predictions of the learning model are consistent with the data. This paper was accepted by Kay Giesecke, finance. Funding: Research support from Long-Term Investors@UniTo, the University of Neuchatel, and the University of Toronto is gratefully acknowledged. Supplemental Material: The data files are available at https://doi.org/10.1287/mnsc.2024.05922 .

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Publication Details

Journal
Management Science
Published
2025-10-29
DOI
https://doi.org/10.1287/mnsc.2024.05922
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
0.00
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article

Value Premium and Equity Term Structures of Value and Growth Firms

Michael Hasler, Mariana Khapko, Roberto Marfè
Management Science
Financial Markets and Investment Strategies
article

Value Premium and Equity Term Structures of Value and Growth Firms

Michael Hasler, Mariana Khapko, Roberto Marfè
article en

Abstract

This paper studies the impact of information processing and learning about expected future cashflows on the level and timing of risk premiums in the cross section of firms. Learning with information sources of different qualities endogenously generates value firms, growth firms, and a value premium in equilibrium. Furthermore, the learning model predicts an upward-sloping equity term structure for value firms and a flat equity term structure for growth firms. Using earnings, return, and news data on value and growth firms, we show that the predictions of the learning model are consistent with the data. This paper was accepted by Kay Giesecke, finance. Funding: Research support from Long-Term Investors@UniTo, the University of Neuchatel, and the University of Toronto is gratefully acknowledged. Supplemental Material: The data files are available at https://doi.org/10.1287/mnsc.2024.05922 .

Management Science
Collegio Carlo Alberto (IT), University of Toronto (CA), University of Neuchâtel (CH)
Openalex Percentile: Top 60%
Financial Markets and Investment Strategies
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Value Premium and Equity Term Structures of Value and Growth Firms — Michael Hasler, Mariana Khapko, et al. · Management Science (2025) | TGRS Research Map | TGRS