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This paper aims to examine whether managerial sentiment, extracted from annual reports, is associated with corporate risk-taking in the context of Chinese companies. This study expands the vein of literature on overconfidence theory.

By leveraging textual analysis on Chinese listed companies’ annual reports, the authors construct firm-level managerial sentiment during 2007 and 2021 to examine how managerial sentiment influences corporate risk-taking after control for firm characteristics. Corporate risk-taking is denoted by corporate investment engagements: capital expenditures and net fixed asset investment.

Results show that incentives for corporate risk-taking are likely to increase with the positive managerial sentiment and decrease with the negative sentiment in companies’ annual reports. Positive managerial sentiment is associated with over-/under-investment and low/high investment efficiency. Further additional tests show that the managerial sentiment effect only holds during low economic uncertain years and samples of private-owned firms. Furthermore, the robust tests indicate that there is no endogenous issue between managerial sentiment and corporate risk-taking.

Annual report textual-based managerial sentiment may not perfectly reflect managers’ lower frequency sentiment (e.g. weekly, monthly and quarterly sentiment). Future studies could attempt to capture managers’ on-time sentiment by using media sources and corporate disclosures.

To the best of the authors’ knowledge, this paper is the first research to provide insights into supervising managers’ corporate decisions by observing their textual information usage in corporate disclosure. Moreover, the approach of measuring managerial sentiment might be a solution to monitoring managerial class.

This paper contributes to the literature on accounting and finance studies, adding another piece of empirical evidence on content analysis by examining a unique language and institutional context (i.e. China). Besides, the paper notes that in line with the English version disclosure, based on Chinese semantic words, managerial sentiment in the Chinese-speaking world has magnitude on corporate decisions. The research provides insights into supervising managers’ corporate decisions by observing their textual information usage in corporate disclosure. Moreover, the approach to measuring managerial sentiment may be a practical solution to monitoring managerial class.

In economic crisis, where tensions create anxiety and test the emotions of the firms' shareholders, communication from top management is very crucial as it provides the reflection of the managers' interpretation of the firms' situation and potential strategies. The goal of this paper is to investigate the relationships between sentiment, as an aspect of emotions extracted from the letters to shareholders, managerial discretion and the firms' subsequent performance and performance trajectory during crisis.

A sentiment analysis was conducted to extract the sentiment from the letters to shareholders, which were collected from firms in two countries with different levels of managerial discretion (US vs. Japan). Hypotheses were developed and tested using a series of regression analysis.

The primary findings indicate that (1) managerial sentiment identified in letters to shareholders can potentially be related to the firm's subsequent performance in the economic crisis, and (2) managerial discretion moderates the relationship between managerial sentiment and subsequent firm performance.

When the managerial discretion is high, firms' shareholders can use the sentiment in top management communications to gauge whether the firms' situation would be improving in the near future.

This study expands the current research on sentiment analysis and firm performance to the context of economic crisis by suggesting that managerial sentiment can be substantially provoked as firms are facing with stressful economic conditions. The study also highlights the moderating role of managerial discretion on the firms' subsequent performance.

The purpose of this paper is to investigate the impact of investor sentiment on timely loss recognition by examining a sample of firms for the period 1988-2015.

The authors use the accruals-based model of Ball and Shivakumar (2005) and a sentiment measure in their primary analysis. Supporting analyses include an extension of Simpson (2013) using an abnormal accruals analysis with subsamples of firms with bad news, the use of a Khan and Watts (2009) quarter firm-level measure of conservatism and an investigation of the monitoring role played by financial analysts.

The study finds that managers strategically report more losses in high sentiment periods than in low sentiment periods. This loss timing behavior results in an average 37.8 per cent increase in the acceleration of loss recognition. This study additionally finds a negative correlation between investor sentiment and abnormal accruals when managers are reporting bad news, and that a greater number of financial analysts following a firm curtails managers’ acceleration of loss recognition in high sentiment periods.

This study contributes to the corporate disclosure literature by showing that managers strategically recognize losses, and such behavior is more prevalent in high sentiment periods. Managers take advantage of prevailing investor sentiment to accelerate losses in high sentiment periods to mitigate market penalties from reporting bad news.

All leaders must position their firms for future success. However, not all firms should search for information and craft their strategies in the same way. This paper aims to provide a framework, which suggests that firms should adopt different postures depending on extent of environmental uncertainty and whether leaders are optimistic or pessimistic about their firms’ abilities and futures.

This framework was designed by two strategy professors based on both strategy theory and their experience working with and observing firms over many years.

The framework’s four postures – versatile (high uncertainty, positive sentiment), inquisitive (high uncertainty, negative sentiment), focused (low uncertainty, positive sentiment), and vigilant (low uncertainty, negative sentiment) – call for different behavior as firms seek to understand environmental trends and take strategic actions. The dangers of each posture are briefly discussed.

This paper provides a simple framework to help executives better understand how their firms should search for and implement strategic actions for future success.

This study aims to explore the potential of mobile assistive technology (MAT) as a vocational tool for blind workers (BW). Specifically, it investigates: Can MAT-enabled BW to perform better at the workplace and will insight into MAT-enabled capabilities impact employer perception regarding BW employability.

Exploratory case study which draws on theories of fit to analyze observational and interview data at an organization familiar with employing, training and referring BW.

MAT can increase blind worker job fit, positively impacting their performance, self-reliance and managerial perceptions regarding their employability.

A conceptual framework is articulated which expands current literature on fit to better account for the assistive potential of mobile technology for differently abled workers.

The positive impact of MAT on managerial perceptions of BW fit and employability can inform the regimes of employers, job skills trainers, vocational rehabilitation specialists and policy makers.

Insights on the use of MAT as a vocational tool can reduce the systemic workplace disenfranchisement of blind people.

This paper presents novel theory which accounts for the impact of MAT on the job fit of differently abled workers.

The purpose of the current study is to test a model of the psychological processes that mediate the impact of managerial supportive and unsupportive behaviors on employees' job‐related attitudes and strain.

Data were collected using a cross‐sectional, online survey of employees working in a human services organization who were asked about their managers' support and attitudes toward various aspects of their jobs. The employees included direct service providers, agency administrators, and managers.

Structural equation modeling revealed that perceived job autonomy and perceived manager sentiment explained the relationship between managerial behaviors and job satisfaction, job strain, and turnover intentions. Although job self‐efficacy was significantly related to both supportive and unsupportive managerial behaviors, it did not explain the relationship between managers' support‐related behaviors and the outcomes of interest.

Since these data are based on self‐reports, common method bias may have inflated the relationships among the variables. Also, ratings of supervisor behaviors and work‐related perceptions may have been confounded with other unmeasured individual differences, such as neuroticism, and optimism. In addition, the generalizability of the theoretical model is unknown because it was tested in one organization.

Managerial and leadership development programs can draw on the study findings about particular managerial behaviors that are linked to employees' perceptions of control and to their managers' sentiments about them, which in turn influence how they feel about their jobs and organizations.

Three original contributions of the study are that: it capitalizes on a detailed, inductively‐derived behavioral measure of managerial support; it examines the effects of both supportive and unsupportive managerial behaviors; and it responds to the call for studies investigating the mechanisms whereby support influences job‐related attitudes and strain.

The purpose of this paper is to study merger momentum and its driving factors in China by sampling 376 listed bidders from 2008 to 2013.

The empirical model captures the dependency of market reaction on recent merger and stock market states. The independent variables are designed from two dimensions, i.e. at the level of market-wide as an integral and bidder-specific as individuals. Furthermore, both the market and bidding firms contain merger momentum and market momentum, respectively.

The empirical results show that there is merger momentum in the market. Particularly, merger momentum is significant both in short run and long run for the mergers with cash payment, which supports the synergy effect. It also implicates the mergers with stock driven by investor sentiment. Besides, investors’ over-optimism is significant in the bull markets while managerial hubris is found in the bear markets.

The driving factors for merger momentum in China are complex. Three impacts with different effects interact with one another. They are investor sentiment and managerial hubris with negative effects resulting in reversal abnormal return in the long run, and synergies with positive shocks resulting in no reverse at all. The limitation of the paper is insufficient analysis of the mergers financed by stocks, which will be the focus for future study.

The conclusions of the study help to intensify the understanding of the immature and unnormalized capital market in China. The empirical analyses give some inspiration and suggestions to three parties in the market, i.e. investors, bidding firms and regulators, respectively.

There are three contributions. The first one is to provide a novel model to identify how these different effects work on the merger momentum. The second one is the measurement of investor sentiment from different perspectives. The last but most important one is the new findings with novel explanations, which proves that the impacts on merger momentum are complex.

This paper examines the relation between political sentiment and future stock price crash risk.

This study employs firm-level political sentiment from earnings conference calls. The empirical analysis applies panel regressions on 40,254 US firm-year observations between 2002 and 2020, controlling for various firm-specific determinants of crash risk and firm-, industry- as well as time-fixed effects.

The study identifies a negative association between both the level and the change of political sentiment and stock crash risk. Further analysis shows that the predictive power of political sentiment is independent of either non-political sentiment or political risk and remains consistently strong during periods of either high or low economic policy uncertainty. Moreover, the predictive effect of political sentiment is more pronounced for firms with high litigation risk.

The evidence highlights the important role of political sentiment in predicting stock crash risk. The results are consistent with the signaling hypothesis that managers tend to use their tone in conference calls to convey informative messages on firm outlooks.

The study provides a recommendation on risk management: soft information such as political and non-political sentiment in earnings conference calls is useful in managing stock crash risk. The study findings also call for careful consideration of social costs, such as stock crash risk, associated with political policies. Ill-conceived policies may lead to market crashes, which can potentially outweigh the upsides of well-meaning political reforms.

To the authors best knowledge, this is the first study to identify the effect of time-varying firm-level political sentiment conveyed in conference calls on stock price crash.

In this paper, the impact of stock-based compensation and further the joint effects of stock-based compensation and investor sentiment on pension discount rate choice is examined.

The hypotheses is tested using fixed effects models and instrumental variable analysis where pension discount rate is the dependent variable, and stock-based compensation and investor sentiment are our variables of interest.

It was found that pension discount rate is negatively associated with managers' stock-based compensation. Further analysis indicates that managers with larger stock-based compensation tend to adjust down their pension discount rates in higher (smaller) degree, responding to high (low) investor sentiment.

The findings provide important insights into how managers use pension discount rates to engage in earnings management. Understanding these relationships has implications for interpreting pension numbers reported in the financial statements and designing pension accounting rules that minimize the possibility that managers take advantage of the complexity associated with pension accounting to influence the reported earnings and executive compensation. Moreover, the findings suggest the need for increased attention from boards of directors, auditors and regulators to reported pension liabilities and service costs, especially for firms paying higher proportion of stock-based compensation to managers and during periods of high investor sentiment.

The findings contribute to the extant literature by identifying the joint impacts of stock-based compensation and investor sentiment as incentives for pension discount rate manipulation. The empirical results of this study also have important implications for corporate governance and regulation.

The purpose of this paper is to examine how investor sentiment, proxied by Michigan consumer confidence index, affects the choice of defined benefit pension plan discount rates.

The authors use multivariate analysis to test our hypotheses. The dependent variable is defined pension plan discount rate and the testing variables are investor sentiment and a dummy variable representing underfunded status.

The authors find a negative and significant relation between investor sentiment and pension plan discount rate. During high (low) sentiment periods, pension discount rate tends to be adjusted downward (upward) discretionarily. Further analysis indicates the relationship between pension discount rate and investor sentiment is more pronounced for firms with underfunded pension plans. The results can be explained by limited attention effects, capital budgeting strategy and earning smoothing.

The empirical results of this study have important implications for corporate governance and regulation. Specifically, the results suggest the need for increased attention from boards of directors, auditors and regulators to reported pension liabilities, especially during periods of high investor sentiment when pension plan sponsors are more likely to adjust down pension discount rate and accordingly to increase pension liabilities.

The paper contributes to the extant literature by identifying investor sentiment as a new incentive of pension discount rate manipulation. The empirical results of this study also have important implications for corporate governance and regulation.