AI Summary of Peer-Reviewed Research

This page presents an AI-generated summary of a published research paper. The original authors did not write or review this article. [See full disclosure ↓]

Publishing process signals: STANDARD — reflects the venue and review process. — venue and review process.

Market-capitalization regret variables predict future stock returns

Two professional men in an office setting reviewing financial charts and data displayed on multiple computer monitors, with one man seated pointing at a chart while the other stands nearby observing.
Research area:Economics, Econometrics and FinanceFinanceFinancial Markets and Investment Strategies

What the study found

The study found that regret measures based on market capitalization, trading volume, and trading value all significantly predict future stock returns. Among these, market-capitalization-based regret showed the strongest explanatory power.

Why the authors say this matters

The authors conclude that regret in investors may be shaped not only by past returns but also by salient market features such as highly visible large-cap stocks. The findings indicate that this may have meaningful implications for behaviorally informed investment strategies.

What the researchers tested

The researchers examined whether investor regret can explain cross-sectional variation in asset returns. They created new regret measures based on market capitalization (SIZEREG), trading volume (VOREG), and trading value (VOPREG), alongside a conventional return-based measure (RETREG), and tested them using Fama-MacBeth regressions on KOSPI and KOSDAQ stocks from 1986 to 2024.

What worked and what didn't

All of the regret variables significantly predicted future returns. SIZEREG remained robust in multivariate regressions after controlling for firm characteristics and consistently outperformed RETREG; the predictive effect was stronger for small-cap, high-volatility, and low-price stocks in double-sorting portfolio analyses. The abstract does not report any regret measure that failed to predict returns.

What to keep in mind

The abstract says the results were supported by robustness tests across alternative definitions and industry conditions, but it does not provide detailed limitations. No additional caveats are described in the available summary.

Key points

  • Regret variables based on market capitalization, trading volume, and trading value all significantly predicted future returns.
  • Market-capitalization-based regret (SIZEREG) had the strongest explanatory power.
  • SIZEREG remained robust after controlling for firm characteristics and outperformed the conventional return-based regret measure (RETREG).
  • The predictive effect was stronger for small-cap, high-volatility, and low-price stocks.
  • The study used Fama-MacBeth regressions on KOSPI and KOSDAQ stocks from 1986 to 2024.

Disclosure

Research title:
Market-capitalization regret variables predict future stock returns
Authors:
somyung kim, Kiyool Ohk
Institutions:
Pusan National University
Publication date:
2026-02-26
OpenAlex record:
View
AI provenance: This post was generated by OpenAI. The original authors did not write or review this post.