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Can Retail Investors Capture Abnormal Returns from Structured Financial News Headlines?
Jönköping University, Jönköping International Business School, JIBS, Business Administration.
Jönköping University, Jönköping International Business School, JIBS, Business Administration.
2025 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Purpose:This paper investigates whether retail investors can achieve abnormal returns by trading stocks based on structured positive earnings headlines published by the financial news aggregator Finwire. The aim is to determine if structured financial news provides actionable signals, enabling investors to outperform the broader market.

Methodology:The study employs a quantitative event-study approach, analyzing average abnormal returns (AAR) and cumulative average abnormal returns (CAAR) across a 21-day event window. Statistical significance is evaluated through parametric and non-parametric tests, with robustness checks ensuring reliability.

Theoretical perspectives:The research is grounded in the Efficient Market Hypothesis (EMH) and information asymmetry theories, integrating prior literature on investor behavior and Post-Earnings Announcement Drift (PEAD) to interpret results.

Empirical foundation:The analysis covers 670 structured positive earnings headlines from 114 large-cap firms listed on the Stockholm Stock Exchange, selected through rigorous data quality and liquidity criteria.

Conclusion:Findings show retail investors can secure abnormal returns only immediately after structured headlines are released. However, this advantage quickly dissipates, suggesting structured financial news enhances immediate market efficiency rather than providing sustainable trading opportunities.

Place, publisher, year, edition, pages
2025.
Keywords [en]
Event Study, Abnormal returns, Market Efficiency, Structured Financial News
National Category
Business Administration
Identifiers
URN: urn:nbn:se:hj:diva-68196OAI: oai:DiVA.org:hj-68196DiVA, id: diva2:1965131
Subject / course
JIBS, Business Administration
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Available from: 2025-06-18 Created: 2025-06-07 Last updated: 2025-10-13Bibliographically approved

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CiteExportLink to record
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