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

Publication date

2025-10

Authors

Dutordoir, MarieISNI 0000000353635918
Hegers, Oliver
Quariguasi Frota Neto, João
Verbeeten, FrankISNI 000000038979462X

Editors

Advisors

Supervisors

Document Type

Article
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License

taverne

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.

Keywords

Brand value, Cash flows, Intangible assets, Machine learning, Out-of-sample, Taverne, Business and International Management, Accounting, Business, Management and Accounting (miscellaneous), History, Arts and Humanities (miscellaneous), Finance, Economics and Econometrics, Economics, Econometrics and Finance (miscellaneous)

Citation

Dutordoir, M, Hegers, O, Quariguasi Frota Neto, J & Verbeeten, F 2025, 'Can Third-Party Brand Value Estimates Help Predict Cash Flows? A Machine-Learning Analysis', European Accounting Review, vol. 34, no. 5, pp. 1913-1943. https://doi.org/10.1080/09638180.2024.2443663