特定行业股票估值方法--文献综述

IF 1.1 Q3 BUSINESS, FINANCE Journal of Accounting Literature Pub Date : 2024-05-13 DOI:10.1108/jal-04-2023-0065
Lars Olbert
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引用次数: 0

摘要

目的 令人惊讶的是,人们对具有特定行业知识的金融分析师所使用的各种证券分析方法知之甚少。金融分析师的行业知识受到基金经理和机构投资者的青睐和赞赏。了解分析师使用特定行业估值模型的情况(这些模型是不同行业的主要价值驱动因素),将有助于我们更好地理解这些行业价值创造的重要方面。本文有助于更广泛地了解不同行业的金融分析师是如何进行估值的,为金融市场的广大利益相关者提供有益的见解。 设计/方法/途径 本文系统回顾了现有研究,以巩固当前对分析师使用估值模型和因素的理解。本文旨在揭开通常被视为 "黑箱 "的神秘面纱,阐明不同行业的金融分析师所使用的估值工具。研究结果分析师对特定行业估值模型和因素的使用是学术界和投资者都相当感兴趣的话题。几个行业的主要模型是市盈率,但也有例外。值得注意的是,EV/EBITDA 在电信、能源和材料行业受到青睐,而资本货物行业则主要依赖 P/CF。在房地产投资信托行业,P/AFFO 是最常用的模型。在制药、能源和电信等特定行业,则采用 DCF。原创性/价值 这是第一篇系统回顾分析师使用特定行业股票估值方法研究的论文。它为这一领域的未来研究奠定了基础,可能会引起学术界、分析师、基金经理和投资者的兴趣。
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Industry-specific stock valuation methods – a literature review
PurposeSurprisingly little is known of the various methods of security analysis used by financial analysts with industry-specific knowledge. Financial analysts’ industry knowledge is a favored and appreciated attribute by fund managers and institutional investors. Understanding analysts’ use of industry-specific valuation models, which are the main value drivers within different industries, will enhance our understanding of important aspects of value creation in these industries. This paper contributes to the broader understanding of how financial analysts in various industries approach valuation, offering insights that can be beneficial to a wide range of stakeholders in the financial market.Design/methodology/approachThis paper systematically reviews existing research to consolidate the current understanding of analysts’ use of valuation models and factors. It aims to demystify what can often be seen as a “black box”, shedding light on the valuation tools employed by financial analysts across diverse industries.FindingsThe use of industry-specific valuation models and factors by analysts is a subject of considerable interest to both academics and investors. The predominant model in several industries is P/E, with some exceptions. Notably, EV/EBITDA is favored in the telecom, energy and materials sectors, while the capital goods industry primarily relies on P/CF. In the REITs sector, P/AFFO is the most commonly employed model. In specific sectors like pharmaceuticals, energy and telecom, DCF is utilized. However, theoretical models like RIM and AEG find limited use among analysts.Originality/valueThis is the first paper systematically reviewing the research on analyst’s use of industry-specific stock valuation methods. It serves as a foundation for future research in this field and is likely to be of interest to academics, analysts, fund managers and investors.
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来源期刊
CiteScore
6.50
自引率
0.00%
发文量
6
期刊介绍: The objective of the Journal is to publish papers that make a fundamental and substantial contribution to the understanding of accounting phenomena. To this end, the Journal intends to publish papers that (1) synthesize an area of research in a concise and rigorous manner to assist academics and others to gain knowledge and appreciation of diverse research areas or (2) present high quality, multi-method, original research on a broad range of topics relevant to accounting, auditing and taxation. Topical coverage is broad and inclusive covering virtually all aspects of accounting. Consistent with the historical mission of the Journal, it is expected that the lead article of each issue will be a synthesis article on an important research topic. Other manuscripts to be included in a given issue will be a mix of synthesis and original research papers. In addition to traditional research topics and methods, we actively solicit manuscripts of the including, but not limited to, the following: • meta-analyses • field studies • critiques of papers published in other journals • emerging developments in accounting theory • commentaries on current issues • innovative experimental research with strong grounding in cognitive, social or anthropological sciences • creative archival analyses using non-standard methodologies or data sources with strong grounding in various social sciences • book reviews • "idea" papers that don''t fit into other established categories.
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