Can Third-Party Brand Value Estimates Help Predict Cash Flows? A Machine-Learning Analysis

Marie Dutordoir, Oliver Hegers, Frank Verbeeten, João Quariguasi Frota Neto

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

We evaluate the usefulness of third-party brand value estimates (BVE) in forecasting corporate cash flows. Our sample consists of BVE for publicly-listed firms published by brand consultancy firms Interbrand, Brand Finance and BrandZ between 2006 and 2021. We find a positive incremental impact of Interbrand and BrandZ BVE on one-year-ahead operating cash flows in in-sample regressions. However, out-of-sample predictions based on linear regressions and Machine Learning methods show that BVE have no incremental cash flow forecasting power over standard accounting information. Analyses of long-term stock returns on zero-cost brand-owner portfolios and immediate stock price reactions to BVE announcements support the non-relevance of third-party BVE for predicting operating cash flows. Our findings extend to free cash flow and earnings forecasts and hold under alternative methodological specifications.

Original languageEnglish
JournalEuropean Accounting Review
Early online date13 Jan 2025
DOIs
Publication statusPublished - 2025

Bibliographical note

Publisher Copyright:
© 2025 European Accounting Association.

Keywords

  • Brand value
  • Cash flows
  • Intangible assets
  • Machine learning
  • Out-of-sample

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