Artikel

Modeling the selection of comparable firms: A novel approach for business valuation in ASEAN nations

This study aims to develop systematic models for the selection of comparable firms for firm valuation. The conventional approach argues that indicators such as firm size, growth rate, and industry should be considered for the selection of peer firms. However, this is sometimes very difficult for appraisers because it is almost impossible to find firms that capture all these criteria, especially in developing countries. Guided by business valuation theory, three indicators-profitability, earnings growth rate, and systematic risk-are applied by this study to build systematic models that simultaneously consider the many criteria affecting firm value. Using firm-level data from non-financial enterprises with 18,418 firm-year observations collected from the six ASEAN nations' stock exchange markets from 2010 to 2020, this study contributes to business valuation literature by developing systematic models for the selection of comparable firms. The results of this study are also practically significant for valuers because our models can be applied to peer group selection as well. Additional analysis shows that our models are more appropriate or suitable than models from previous conventional approaches that use the same industry or same firm financial characteristics.

Language
Englisch

Bibliographic citation
Journal: Cogent Economics & Finance ; ISSN: 2332-2039 ; Volume: 9 ; Year: 2021 ; Issue: 1 ; Pages: 1-22

Classification
Wirtschaft
Subject
Business valuation
Comparable firms
Income-based approach
Market-based approach

Event
Geistige Schöpfung
(who)
Nguyen, Kim-Duc
Sinh, Hay
Tran Bich-Van
Event
Veröffentlichung
(who)
Taylor & Francis
(where)
Abingdon
(when)
2021

DOI
doi:10.1080/23322039.2021.1958980
Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Nguyen, Kim-Duc
  • Sinh, Hay
  • Tran Bich-Van
  • Taylor & Francis

Time of origin

  • 2021

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