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The Relationship Between Non-additivity Valuations, Cash Flows and Sales Growth.

Authors :
Eghbal, Maryam
Nassirzadeh, Farzaneh
Askarany, Davood
Source :
Computational Economics; Jul2024, Vol. 64 Issue 1, p429-459, 31p
Publication Year :
2024

Abstract

This study examines the effects of non-additivity valuations on cash flows and sales growth by using the Choquet fuzzy approach as a pooled non-additive integral. The study targets 62 parent companies with 322 subsidiaries in the Tehran stock market from 2011 to 2019. The study divides firms' assets into four categories (inventories, receivables, fixed, and long-term investments). It uses the Choquet integral's properties to determine the firms' total non-additivity values. The Choquet integral approach used in this study considers the synergy of a set's componential factors in different measurements by considering and implementing the weights and coefficients of the elements. The results indicate that while the market valuation of companies (based on non-additivity valuations) has no significant correlation with their operating cash flows, it has a positive correlation with their sales growth, which could be attributed to the synergy created by the business combination of the parent companies with their subsidiaries. Moreover, the findings show a significant correlation between sales growth and the market price-to-book ratio as a simple approach to measuring a company's performance. However, the results suggest that non-additivity valuations offer a better estimation in measuring the efficiency of companies than market price-to-book ratio-based approaches. Indeed, the valuations of companies are determined based on their abilities in using their resources compared to similar companies in the same industry when they use non-additivity valuations. These findings are expected to be very helpful for potential investors and shareholders. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09277099
Volume :
64
Issue :
1
Database :
Complementary Index
Journal :
Computational Economics
Publication Type :
Academic Journal
Accession number :
179324911
Full Text :
https://doi.org/10.1007/s10614-023-10435-x