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The purpose of this paper is to explore the effect of firm’s deviant strategy on analysts’ earnings forecasts and further examine the effects of firm’s information transparency and environmental uncertainty on these relationships from information asymmetry perspective.

The sample includes listed firms on Shanghai and Shenzhen Stock Exchange during the period 2007-2013.

The results indicate that firms’ deviant strategies have effects on analysts’ earnings forecasts, in particular, firms with extreme strategies have less analysts following, larger forecast error and dispersion compared with firms following industry norms. Moreover, information transparency and environmental uncertainty have effects on the relationship between strategic deviance and analysts’ earnings forecasts.

The empirical results of this paper provide strong evidence that strategy information is an important source of information for analysts’ earnings forecasts, which shows that analysts should pay attention to not only financial information but also the strategic information, especially when the information is related to strategic choice. In addition, it is necessary for investors to focus on strategic information to have a better understanding on financial information of enterprises and make better investment decisions.

The findings of this study indicate that corporate strategic deviance has an effect on analysts’ earnings forecasting behavior. This study enriches research studies on corporate strategy and external stakeholders and complements related research on analysts’ earnings forecasts from strategic perspective and information asymmetry perspective.

Corporate investment behavior increases the uncertainty of a company’s operation and performance. The purpose of this paper is to investigate how analyst recommendations respond to corporate uncertainty caused by investment behavior and what motivates analysts to react as they do.

The authors test two motivation hypotheses: the hypothesis that analysts are currying favor with management to obtain private information and the hypothesis that analysts have conflicts of interest due to connections. Using Chinese analyst-level data from 2007 to 2015, the authors find that overall investment levels, R&D investment and M&A events are significantly positively correlated with analyst recommendations, suggesting that analysts tend to react optimistically to corporate investment behavior.

Analysts are only optimistic about companies with low information transparency, suggesting that analysts may be trying to curry favor with management to gain access to private information. The authors find that analysts with stronger recommendations have more private information and analysts with more private information publish more accurate earnings forecasts, which supports the hypothesis that analysts curry favor with management through optimistic recommendations to obtain more private information. This is consistent with the logic that the difficulty of earnings forecasting increases under uncertain conditions, increasing the demand for private information. The authors then group the analysts according to their underwriting connections, securities company’s proprietary connections and fund connections, and find that the positive correlation between corporate investment behavior and analyst recommendations exists only in the unconnected groups. This is evidence against the hypothesis that analysts have conflicts of interest due to their connections.

First, the authors link the optimism of analysts with the uncertainty of analysts’ information inputs to partially unpack the black box of analysts’ analyses. Second, the authors test the two hypotheses mentioned. There is a lack of comparative studies on the influence of different motivations on the behavior of analysts.

The purpose of this paper is to investigate whether there is any difference across individual investors, domestic and foreign institutional investors in trading volume responses to analyst reports. The authors also examine the determinants of trading volume responses using firm as well as forecast characteristics.

The authors use trading data from the Korean equity market. The authors divide investors into three classes of investors; namely, individual investors, domestic institutional investors, and foreign institutional investors. The authors then examine whether the trading responses to analyst reports vary across investor types, and how firm characteristics and characteristics of analyst reports influence the trading activities on the release dates across investor types.

Individual investors are the most responsive investor group, being responsive to analyst reports on small, neglected firms with large inside ownership as well as to analyst reports with optimistic forecasts. Domestic institutional investors are responsive to reports on neglected firms with high return volatility while foreign institutional investors show least responses.

There are few studies that investigate whether the trading responses to analyst reports vary across investor types and how firm characteristics and characteristics of analyst reports influence the trading activities on the release dates across investor types. Taking advantage of the trading volume data for the three main investor types in the Korean stock market, the authors study the trading volume responses for each investor type and make comparisons across investor types.

The purpose of this study is to examine the usage of non-financial information related to corporate social responsibility (CSR) issues from the perspective of sell-side analysts (SSAs) and buy-side analysts (BSAs) employed in Poland-based financial institutions.

The authors conducted a survey among financial analysts with the use of the computer-assisted telephone interview (CATI) method and an online questionnaire. The adopted methods included purposeful, quota sampling and snowball sampling.

Results indicate that financial analysts make use of CSR disclosures very rarely and attribute little importance to such information. Despite the limited use of CSR information and negative assessments of its quality, respondents are in favor of making a more frequent use of CSR disclosures. Finally, except for an analyst’s attitude toward the “comparability in time” information characteristic, results do not indicate any significant differences between SSAs’ and BSAs’ responses.

The limited number of questionnaires prevented the use of more sophisticated statistical methods and the formulation of conclusions that could apply to the entire population. In addition, although the adopted CATI method provides a number of advantages, it also has its limitations – interviews had limited time and the questions along with the answers had to take into account the respondents’ limited perception ability.

The results of this study suggest that CSR disclosures have limited usage for financial analysts, at least in the Polish context. Further, not only do respondents rarely make use of CSR disclosures but they also give low assessments to their quality. This implies that the concept of CSR remains relatively far from becoming a priority; hence, some measures and incentives may be necessary.

The paper adds to a relatively small number of studies that have dealt with the issue of non-financial information and its usefulness for SSAs and BSAs in Central and Eastern Europe.

The purpose of the study is to examine whether analyst coverage responds to changes in investor information demand for a firm and to test whether certain investor or firm characteristics moderate this association.

The authors model analyst activeness (AA) as a function of institutional investors' information demand, proxied by news readership on Bloomberg terminals and retail investors' information demand, proxied by the Google Search Volume Index (GSVI). Additionally, the authors take several steps to mitigate concerns about reverse causality that may confound the findings.

Results suggest that analysts respond to information demand shocks, but partially revert their coverage after the demand shock subsides. Furthermore, the results suggest that analysts cater their coverage more towards institutional investors than to retail investors. Evidence also suggests that analysts are more responsive to investors interested in firms with tech stock characteristics. Finally, the authors find evidence that specialist analysts respond more to institutional investors while generalist analysts respond more to retail investors.

The authors are the first to empirically examine the extent to which analysts cater to investor information demand. This is a vital topic to study because analysts are one of the primary sources of information for market participants. Understanding an analyst's motivation for providing information will help to facilitate market efficiency.

To examine whether both the value relevance of accounting information, and the quality of earnings affect financial analysts' revisions of forecast annual earnings per share soon after an earnings release.

For firms whose accounting earnings provide either a basis for firm valuation or new information, analysts are predicted to revise earnings forecasts in response to the magnitude of surprise in the earnings release. Using publicly available data, regression analysis explores the influence of earnings response coefficients (ERCs), unexpected earnings, and interactions between ERCs, the association between earnings and returns, and unexpected earnings on forecast revisions after earnings announcements.

Empirical tests demonstrate a positive relation between the percentage of analysts revising forecasts soon after interim earnings announcements and firm‐specific ERCs, the interaction between the magnitude of earnings surprises, ERCs, and earnings‐returns associations, and pre‐announcement dispersion in forecasts. The results suggest that usefulness of earnings releases is related to the magnitude of new information in the release, the persistence of earnings innovations, the firm‐specific mapping between earnings and returns, and prior uncertainty about earnings.

This paper examines forecast revisions only soon after earnings announcements. Future research should examine more general determinants of analysts' forecast revision activity.

This paper provides evidence about determinants of forecast revision frequency, a measure of how actively financial analysts provide information, an extension of prior research that focuses on analyst following as a measure of information environments.

The purpose of this paper is to increase the transparency of the value‐creation chain in the stock market. It aims to: conceptualize the value‐added through the relational capital, inductively develop models on how values are created, and discuss the values created for the analyst firm, the clients and investors in the stock market in general.

The paper is based on a case study of sell‐side analysts at a big Swedish investment bank and their work with real life situations of changes in recommendations.

The findings of the case study indicate that analysts, through their relational capital, access competitive advantages needed for remaining on a highly competitive market. They get access to value‐added information and knowledge and also business for the firm. This helps them to fulfill the three roles played, i.e. as information intermediaries, knowledge builders and businessmen. However, the analysts' dependencies, due to their relational capital and the analysts' conflicting roles, result in ambiguous or even biased information. The values added to clients differ between prioritized clients who receive value‐added information through the relational capital with the analysts and non‐prioritized clients with limited, or no access, to the analysts' services.

Value created through relational capital within organizations has been intensively studied within the area of intellectual capital. However, the sell‐side analysts' value‐creation chain linked to their relational capital with company representatives and clients, considered in the present study, has been neglected.

The purpose of this paper is to systematise the current state of research on the association between companies’ corporate social responsibility (CSR) engagement and financial analysts’ company assessment. Additionally, it aims to identify fruitful directions for future research that contribute to a further exploration of the link between CSR and financial analysts.

This study reviews and synthesises existing research on CSR and financial analysts. Based on the research question, “What is the relationship between CSR engagement and financial analysts’ metrics?,” the authors conduct a systematic literature review. The authors search three major databases and use an extensive search term to ensure exhaustive coverage of the field. The paper then systemises the current state of research and identifies knowledge gaps and potential directions for future research.

The review of existing research shows that several studies confirm a positive link between CSR performance and analyst coverage, suggesting that external monitoring through analysts incentivises companies to enhance their CSR engagement. Further, results indicate that a company’s involvement in “sin” industries is linked to lower analyst coverage. Besides, a higher level of CSR disclosure is positively associated with analyst forecast accuracy, thus indicating that the provision of CSR-related information is linked to an enhanced information environment. High levels of CSR performance are associated with more positive recommendations from analysts. However, recent surveys and interview studies on analysts’ perceptions of CSR fail to uniformly support an increasing interest in CSR.

For a better understanding of the link between CSR engagement and financial analysts, two fruitful directions for future research are observed. First, future research designs should clearly differentiate between CSR disclosure and CSR performance and take account of interdependencies between them. Second, studies should address behavioural insights into how analysts process information and the influence of individual analyst characteristics on the link between CSR engagement and an analyst’s assessment of a company.

This study is the first to review the literature on the relationship between CSR and financial analysts. The association between CSR and financial analysts is particularly interesting given the pivotal role financial analysts play as information intermediaries in financial markets. This study delivers an in-depth understanding of existing studies and their theoretical underpinnings. Based on the existing literature, this paper develops innovative directions for future research.

Discusses the qualitative analysis of a case study of analyst‐client communications using grounded theory and themed analyses. Describes in detail the interaction that took place between an analyst and a client in a public sector agency in Tasmania, Australia. Uses a theatrical metaphor to give a representation that encompasses chronological and contextual aspects, providing an immediacy that enables the reader to appreciate how the interaction developed over time. Using concepts derived from the use of grounded theory techniques, demonstrates how these concepts and themes operated in this particular case. Concludes with a general discussion of themes and contextual influences as they occur in the case of the student assistance scheme and other cases studied by the author.

This paper aims to examine the extent to which sell-side analysts efficiently incorporate firms’ corporate social responsibility (CSR) activities into their earnings forecasts. In addition, this paper also investigate the CSR information efficiency of analysts vis-à-vis that of investors.

This paper measures CSR activities by using CSR strength and CSR concern scores from the Morgan Stanley Capital International Environmental, Social and Governance database. This paper uses analysts’ earnings forecast errors and dispersion as proxies for their information efficiency. To compare the CSR information efficiency of analysts to that of investors, this paper uses the Vt/Pt ratio, which is the equity value estimates inferred from analysts’ earnings forecasts (a proxy for analysts’ CSR information efficiency) to the stock price of the focal company (a proxy for investors’ CSR information efficiency).

The regression analysis indicates that analysts’ earnings forecasts are optimistically biased and more dispersed for firms with positive CSR activities. The paper also finds that analysts’ forecasts are more optimistically biased than investors in interpreting CSR activities.

The lack of standardized protocols in CSR reporting and activities has raised the risk of mispricing by analysts, threatening the stability of sustainable investments. This paper suggests that regulators and standard-setters should establish a uniform framework governing firms’ CSR activities, along with their reporting and measurement, to ensure more consistent and reliable evaluations of CSR practices.

Analysts’ mispricing of CSR activities may distort sustainable investing, as it can overly focus on the positive impacts of stakeholder theory, overlooking agency theory’s warnings about managerial self-interest. Investors need to assess CSR efforts with a dual perspective, acknowledging their societal value but also examining their alignment with shareholder interests.

To the best of the authors’ knowledge, this research is the first to assess the efficiency of analysts versus investors in processing CSR information amidst growing sustainable investment interests. Furthermore, building on Dhaliwal et al. (2012), which found that voluntary CSR disclosures correlate with more accurate analyst forecasts, this research provides fresh perspectives on the evolving nature of how analysts assimilate CSR information over time.