Selecting a peer group of companies for valuation and outline of future research using machine learning

K problému výběru porovnatelné skupiny podniků pro ocenění a nástin budoucího výzkumu s využitím strojového učení

Veronika Staňková and Miloš Mařík

Oceňování, 2020, vol. 13, issue 3-4, 51-64

Abstract: This article deals with peer group selection for the purpose of the market valuation approach. The academic professional public does not agree on the optimal approach in respect of the peer group selection. Therefore, in this article we start with a synthesis of the current literature on this matter, including a description and discussion of the three main approaches, namely: (i) aggregated groups based on industry classification, (ii) search for fundamental indicators and (iii) alternative methods using the big data. Following is the explanation of machine learning applied in the finance and an outline of future research in which we want to verify the potential of machine learning algorithms in selecting a comparable group of companies.

Keywords: Market valuation approach; Peer group; Machine learning; Ocenění tržním porovnáním; Porovnatelná skupina společností; Strojové učení (search for similar items in EconPapers)
JEL-codes: G12 (search for similar items in EconPapers)
Date: 2020
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DOI: 10.18267/j.ocenovani.254

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