ArticlePublisher preview available

Familiarity bias and earnings-based equity valuation

Authors:
To read the full-text of this research, you can request a copy directly from the authors.

Abstract

This study examines whether investors’ familiarity bias affects their earnings-based equity valuation. Building on theoretical and empirical findings from prior studies, we hypothesize that familiarity bias may reduce the earnings-based equity valuation of foreign firms. We also hypothesize that the perceived link between current earnings surprises and future operating cash flows is one channel through which familiarity bias affects earnings-based equity valuation. Using the setting of the earnings announcements of U.S.-listed non-U.S. firms and U.S. firms matched by industry, year, and firm characteristics, we find that U.S. investors discount the earnings response coefficient of non-U.S. firms relative to that of U.S. firms by 46%. Using analysts’ earnings forecast revisions immediately following the earnings announcements as the proxy for the market-perceived link between current earnings surprises and future operating cash flows, we find that analysts significantly discount the link for non-U.S. firms relative to U.S. firms. Both discounts exist only in the subsamples of non-U.S. firms toward which U.S. investors have a higher degree of familiarity bias. Thus, we provide empirical evidence of the effect of the familiarity bias on earnings-based equity valuation and the channel through which it affects equity valuation.
Vol.:(0123456789)
Review of Quantitative Finance and Accounting (2021) 57:795–818
https://doi.org/10.1007/s11156-020-00949-y
1 3
ORIGINAL RESEARCH
Familiarity bias andearnings‑based equity valuation
YashuDong1· DanqingYoung2· YingleiZhang2
Accepted: 20 November 2020 / Published online: 2 March 2021
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021
Abstract
This study examines whether investors’ familiarity bias affects their earnings-based equity
valuation. Building on theoretical and empirical findings from prior studies, we hypoth-
esize that familiarity bias may reduce the earnings-based equity valuation of foreign firms.
We also hypothesize that the perceived link between current earnings surprises and future
operating cash flows is one channel through which familiarity bias affects earnings-based
equity valuation. Using the setting of the earnings announcements of U.S.-listed non-U.S.
firms and U.S. firms matched by industry, year, and firm characteristics, we find that U.S.
investors discount the earnings response coefficient of non-U.S. firms relative to that of
U.S. firms by 46%. Using analysts’ earnings forecast revisions immediately following the
earnings announcements as the proxy for the market-perceived link between current earn-
ings surprises and future operating cash flows, we find that analysts significantly discount
the link for non-U.S. firms relative to U.S. firms. Both discounts exist only in the subsam-
ples of non-U.S. firms toward which U.S. investors have a higher degree of familiarity bias.
Thus, we provide empirical evidence of the effect of the familiarity bias on earnings-based
equity valuation and the channel through which it affects equity valuation.
Keywords Familiarity bias· Earnings-based equity valuation· Earnings response
coefficients· Analyst earnings forecast revisions
JEL Classification G12· G14· G41· M41
We thank conference participants at the 2014 American Accounting Association (AAA) Annual
meeting, and workshop participants at The Chinese University of Hong Kong, Tsinghua University
for helpful comments.Yashu Dong acknowledgesthe financial support from the MOE project of Key
Research Institute of Humanities and Social Science in University (No.18JJD790010).
* Yinglei Zhang
yinglei@cuhk.edu.hk
Yashu Dong
dong.yashu@mail.shufe.edu.cn
Danqing Young
dyoung@cuhk.edu.hk
1 Shanghai University ofFinance andEconomics, Shanghai, China
2 The Chinese University ofHong Kong, ShaTin, HongKong
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
... The key biases they discuss are overconfidence, trust and control, disposition, mental accounting, heuristics, self-control and framing, familiarity, risk-taking behaviour and anchoring. Familiarity bias is also discussed by Dong et al. (2021) and Liu et al. (2018). Although investors cannot avoid all behavioural biases, they can avoid investment losses by acknowledging such biases and taking them into consideration when making investment decision. ...
Article
Full-text available
The prevailing assumption holds that investors include in their portfolios securities that they know well, are located near their place of residence, or align with their fields of interest. This article analyse familiarity in investment through gender perspective and their fields of interest. Women and men field of interest is defined by enabling online magazines’ article’s themes. The aim of this paper is to investigate gender-based behavioural differences in investment decisions – i.e. to define women’s and men’s fields of interests and value investment portfolios. Portfolios differ according to whether they are formed from securities that are consistent with women’s fields of interest, men’s fields of interest or both women’s and men’s fields of interest. Textual analysis was employed to identify men’s and women’s fields of interest. Investment portfolios were built using mean variance (MV) and Black–Litterman (BL) models. The analysis revealed that portfolios built from men’s fields of interests are more diversified than are portfolios built either from women’s fields of interests or from both men’s and women’s fields of interest. Analysing 12 portfolios’ efficiency revealed that women’s portfolio returns are more stable than are men’s. Moreover, the study demonstrated that time impacts investment portfolio returns to a greater extent than do gendered fields of interest. The article complements the existing knowledge about bias in investor familiarity, which results from differences in men’s and women’s fields of interest.
... Such methodologies are widely used in marketing (e.g., Boyd & Spekman, 2008;Kalaignanam & Bahadir, 2013;Swaminathan & Moorman, 2009), because they can (1) accurately isolate and reflect immediate responses to newly available information with minimal confounds; (2) measure expected future cash flows, because the stock market response is a forwardlooking measure, and the full benefits of innovation may not be realized for several years (Raassens et al., 2012); and (3) support controlled quasi-experiments, in which post-event stock price behavior is tested relative to expected pre-event behavior, with a direct causal inference ). To calculate the expected returns for the event firms, we use a standard market model estimation, as recommended by finance (e.g., Dong, Li, et al., 2021;Dong, Young, et al., 2021;Fama, 1998Fama, , 2001Mun, 2021) and marketing (e.g., Sorescu et al., 2017) scholars for short-term event studies and as has been used widely (e.g., Bhagwat et al., 2020;Lee et al., 2016). As robustness checks, we also conduct four-factor model estimations to calculate expected returns. ...
Article
Full-text available
Even as more companies integrate artificial intelligence (AI) into their new products and services, little research outlines the strategic implications of such AI adoption. Therefore, the present study investigates how investors respond to announcements of new product innovations integrated with AI by non-software firms (AI-NPIs), with the prediction that they respond favorably if the firms feature a marketing department with substantial power; such firms likely possess the marketing resources and assets needed to ensure the success of AI-NPIs. An event study with a sample of 341 announcements by 77 S&P 500 firms between 2009–2018 supports this prediction. Furthermore, the relationship between marketing department power and investor response intensifies when the announcement (1) occurs in later innovation stages, (2) involves the sourcing of external innovation assets, and (3) refers to more complex innovations. These findings have both theoretical and managerial implications.
Article
Purpose This study aims to systematically review various behavioral biases that impact an investor’s decision-making process. The prime objective of this paper is to thematically explore the behavioral bias literature and propose a comprehensive framework that can elucidate a more reasonable explanation of changes in financial markets and investors’ behavior. Design/methodology/approach Systematic literature review (SLR) methodology is applied to a portfolio of 71 peer-reviewed articles collected from different electronic databases between 2007 and 2021. Content analysis of the extant literature is performed to identify the research themes and existing gaps in the literature. Findings This research identifies publication trends of the behavioral biases literature and uncovers 24 different biases that impact individual investors’ decision-making. Through thematic analysis, an attribute–consequence–impact framework is proposed that explains different biases leading to individual investors’ irrationality. The study further proposes directions for future research by applying the theory–characteristics–context–methodology framework. Research limitations/implications The results of this research will help scholars and practitioners in understanding the existence of various behavioral biases and assist them in identifying potential strategies which can evade the negative effects of these biases. The findings will further help the financial service providers to understand these biases and improve the landscape of financial services. Originality/value The essence of the current paper is the application of the SLR method on 24 biases in the area of behavioral finance. To the best of the authors’ knowledge, this study is the first attempt of its kind which provides a methodical and comprehensive compilation of both cognitive and emotional behavioral biases that affect the individual investor’s decision-making.
Conference Paper
The prevailing opinion exists that investors include to their portfolio what they know or what is located around them. Investment decision, which is impacted by familiarity bias, avoid including international companies to portfolio which might lead to lower performance compared to portfolio which has both, local and international, stocks in a portfolio. The aim of this study is to analyse the impact of familiarity bias on investment decision, to form port-folios from the stocks listed on the Nasdaq Baltic stock exchange and compare their performance to global portfolios, which are formed from the stocks listed on the New York Stock Exchange. Investment portfolios were built using mean variance (MV) and Black–Litterman (BL) models. The analysis revealed that the returns of the portfolios built on the Nasdaq Baltic exchange are higher than the returns of the global portfolios. Additionally, the volatility of returns is lower for Nasdaq Baltic portfolios. When selected markets have different growth rates, investment decisions based on familiarity bias can achieve better results.
Article
Full-text available
We document a seasonal pattern in stock returns around quarterly earnings announcement dates: small firms show large positive abnormal returns and a sizable increase in the variability of returns around these dates. Only part of the large abnormal returns can be accounted for by the tendency of firms with good news to announce early. Large firms show no abnormal returns around announcement dates and a much smaller increase in variability.
Article
Cross-listing by foreign issuers onto U.S. exchanges accelerated during the 1990s, bringing international market centers into competition for listings and draining liquidity from some regional markets. Although cross-listing has traditionally been explained as an attempt to break down market segmentation and to increase investor recognition of the cross-listing firm, the globalization of financial markets and instantaneous electronic communications render these explanations increasingly dated. A superior explanation is "bonding": Issuers migrate to U.S. exchanges because by voluntarily subjecting themselves to the United States's higher disclosure standards and greater threat of enforcement (both by public and private enforcers), they partially compensate for weak protection of minority investors under their own jurisdictions' laws and thereby achieve a higher market valuation. Still, this explanation is also incomplete because many issuers who are eligible to cross-list do not do so. Increasing evidence suggests that cross-listing firms differ significantly from firms in the same jurisdictions that do not cross-list, most notably in that the former have higher growth prospects and are willing to sacrifice some of the private benefits of control to obtain equity finance. As a result, specialized markets or market segments seem likely to persist, each catering to a different clientele of firms. Cross-listing appears to be producing a new and desirable form of regulatory competition. In particular, new "high disclosure" exchanges have appeared that seek to increase the protection for minority shareholders, but they encountered problems that in part relate to U.S. policy. To encourage this competition, this Article recommends that the United States rationalize its currently schizophrenic and inconsistent approach to the foreign issuer, which approach sometimes waives all governance listing requirements for foreign issuers and sometimes subjects them to mandatory and incompatible governance standards.
Article
The returns earned by U.S. equities since 1926 exceed estimates derived from theory, from other periods and markets, and from surveys of institutional investors. Rather than examine historic experience, we estimate the equity premium from the discount rate that equates market valuations with prevailing expectations of future flows. The accounting flows we project are isomorphic to projected dividends but use more available information and narrow the range of reasonable growth rates. For each year between 1985 and 1998, we find that the equity premium is around three percent (or less) in the United States and five other markets.
Article
I describe a model of earnings and earnings growth and I demonstrate how this model may be used to obtain estimates of the expected rate of return on equity capital. These estimates are compared with estimates of the expected rate of return implied by commonly used heuristics - viz., the PEG ratio and the PE ratio. Proponents of the PEG ratio (which is the price-earnings [PE] ratio divided by the short-term earnings growth rate) argue that this ratio takes account of differences in short-run earnings growth, providing a ranking that is superior to the ranking based on PE ratios. But even though the PEG ratio may provide an improvement over the PE ratio, it is arguably still too simplistic because it implicitly assumes that the short-run growth forecast also captures the long-run future. I provide a means of simultaneously estimating the expected rate of return and the rate of change in abnormal growth in earnings beyond the (short) forecast horizon - thereby refining the PEG ratio ranking. The method may also be used by researchers interested in determining the effects of various factors (such as disclosure quality, cross-listing, etc.) on the cost of equity capital. Although the correlation between the refined estimates and estimates of the expected rate of return implied by the PEG ratio is high, supporting the use of the PEG ratio as a parsimonious way to rank stocks, the estimates of the expected rate of return based on the PEG ratio are biased downward. This correlation is much lower and the downward bias is much larger for estimates of the expected rate of return based on the PE ratio. I provide evidence that stocks for which the downward bias is higher can be identified a priori.
Article
We study the frequency of restatements by foreign firms listed on the U.S. exchanges. We find that the restatement rate by U.S. listed foreign firms is significantly lower than that of comparable U.S. firms and the difference depends on the home country characteristics of the foreign firm. Foreign firms from countries with a weak rule of law are less likely to restate than firms from strong rule of law countries are, despite companies from the weaker rule of law countries having higher levels of earnings management. After controlling for the materiality of the restatement, firms from weak rule of law countries are more likely to opt for less visible restatement disclosure methods. We interpret these findings as home country enforcement affecting firms’ likelihood of reporting existing accounting irregularities. This suggests that for U.S. listed foreign firms, less frequent restatements can be a signal of opportunistic reporting rather than high quality earnings.