Search results

This paper examines the role of the annual report’s linguistic tone in predicting future firm performance in an emerging market, Vietnam.

Both manual coding approach and the naïve Bayesian algorithm are employed to determine the annual report tone, which is then used to investigate its impact on future firm performance.

The study finds that tone can predict firm performance one year ahead. The predictability of tone is strengthened for firms that have a high degree of information asymmetry. Besides, the government’s regulatory reforms on corporate disclosures enhance the predictive ability of tone.

The study suggests the naïve Bayesian algorithm as a cost-efficient alternative for human coding in textual analysis. Also, information asymmetry and regulation changes should be modeled in future research on narrative disclosures.

The study sends messages to both investors and policymakers in emerging markets. Investors should pay more attention to the tone of annual reports for improving the accuracy of future firm performance prediction. Policymakers should regularly revise and update regulations on qualitative disclosure to reduce information asymmetry.

This study enhances understanding of the annual report’s role in a non-Western country that has been under-investigated. The research also provides original evidence of the link between annual report tone and future firm performance under different information asymmetry degrees. Furthermore, this study justifies the effectiveness of the governments’ regulatory reforms on corporate disclosure in developing countries. Finally, by applying both the human coding and machine learning approach, this research contributes to the literature on textual analysis methodology.

This paper examines whether and how customers' annual report tone affects suppliers' innovation decisions.

Using the data from disclosed information on top five customers and annual report tone by Chinese listed firms, this paper used a two-way fixed effect model and intermediary effect model tests to explore the impact of customers' annual report tone on suppliers' innovation decisions.

The results indicate that the more positive the tone of customer annual reports is, the higher the suppliers' technological innovation level. The customers' annual report tone affects suppliers' innovation decisions through alleviating financing constraints and reducing the bullwhip effect. In addition, the authors find that the worse the supplier's bargaining power and the higher the customer's media coverage, the more significant the impact of positive customer annual report tone on the level of corporate technological innovation.

For downstream customers, to improve the quality of their text information disclosure. For upstream suppliers, the tone of customers' annual reports has incremental information, so the attention to customers' text information should be strengthened. As far as the market is concerned, it is recommended that regulators should strictly require the quality of text information disclosure and introduce relevant penalty mechanisms better to regulate the quality of corporate text information disclosure.

To the best of the author's knowledge, this paper is the first to expand the research related to textual information from a supply chain innovation perspective. The textual information can provide incremental information, and spillover effects may occur among supply chains, affecting suppliers' innovation decisions. And it clarifies the specific mechanism by which the supply chain tone spillover effect affects corporate innovation, enriching the relevant research on supply chain influence mechanisms.

The authors investigate the impact of disclosure tones and financial risk on the readability of annual reports in the banking sector. The authors also examine the moderating effect of banks' financial risk on the tone–readability relationship.

This study relies on the agency theory and the social psychology theory to formulate its testable hypotheses and explain the empirical findings. It uses a sample of 390 bank-year observations from banks listed in the Gulf Cooperation Council (GCC) Stock Exchanges during the period 2014–2019. It also employs random effect regressions to analyze the data and to examine the reverse causality/endogeneity in order to obtain robust findings.

This study’s results demonstrate that easy (difficult) to read annual reports is significantly associated with positive (negative) tone. Bank managers characterized as “too positive/optimistic” and banks with higher financial risks publish less readable annual reports. The results also show that the interaction between negative tone and a bank's financial risk is inversely associated with reading difficulty, indicating that managers prepare easy text to clarify causes of their banks’ high risks, yet they communicate this easy text with a negative tone that reflects their feelings/emotions towards the financial risks of their banks.

This study’s findings call for the use of a plain English text that bears a neutral tone and urge financial analysts to go beyond the financial aspects of annual reports. They also stimulate policymakers to draft policies, which ensure the presence of audit committee members who possess a broad expertise to uncover the linguistic issues embedded in the annual reports.

To the best of the authors' knowledge, this is the first study dedicated to exploring the tone–readability association in the GCC's banking sector.

This paper explores the factors that shape the complexity of company annual reports in the USA. Using a general-to-specific modeling approach, this study examines the determinants of annual reports' tone complexity.

Negative relationships were found between agency problems and tone; agency costs and readability of annual reports; profitability and tone; and ownership structure and tone complexity.

These relationships helped to confirm several of this study’s hypotheses, whereas positive associations were found between investment growth opportunities and tone complexity, which contradicts one of our initial hypotheses. Findings reveal that the more complex the language in an annual report is, the more difficult it is to strategically make a judgment or decision about the reported financial situation.

Analyzing these variables allows security analysts and investors to obtain important information, not available in the financial statements, which would enhance their understanding of the firm and improve their recommendations and investment decision-making process.

This paper aims to investigate the association between negative tone in annual report narratives and future performance in the UK context. Under the principle-based approach in the UK, managers tend to bias the tone of narrative reports upward, as the reporting regime is more flexible than the rule-based approach in the USA. Consequently, any negative disclosure not mandated by regulators conveys credible information about a firm’s prospects.

This paper uses a sample of UK FTSE all-share non-financial companies from 2010 to 2019. The authors use the textual-analysis approach based on Loughran and McDonald (2011)’s wordlist (LM) to measure the negative tone in UK annual reports.

The results show a significant negative association between negative tone and future performance. Moreover, our further analyses suggest that only the negativity in the executive section of the annual disclosures correlates significantly with future performance. In summary, this study suggests that negativity does matter under the principle-based approach and can be used as an indicator of future performance.

In contrast to the literature arguing that only positivity has the power to affect a firm’s outcomes under the principle-based approach, the authors provide new empirical evidence suggesting that negativity also matters within the UK context and can be used as an indicator for future performance. Also, to the best of the authors’ knowledge, this is the first study to identify which section of the annual report is more informative about a firm’s future performance.

This paper explores the impact of tone complexity on the cost of debt in the USA.

A sampling from 692 publicly nonfinancial-traded companies in the USA is employed over the period between 2010 and 2018. Generalized methods of moments (GMM) model is implemented to examine the impact of tone complexity on the cost of debt and its implications upon creditors and users.

The findings show that high-tone complexity is associated with a greater cost of debt. The use of a more complex tone in a company's annual reports has been shown to influence creditors' perceptions of risk.

This research pursues innovation by examining how creditors can use the tone complexity of annual report to assess the level of information asymmetry and estimate the required rate of return accordingly.

This study aims to provide evidence on the association between abnormal tone and audit fees, as well as between abnormal tone and audit report lag.

This study uses a fixed-effects model to examine the relationship between abnormal positive tone and audit engagement (audit fees and audit report lag). Following Blanco et al., the authors used propensity score matching to examine the robustness of the findings.

Abnormal positive tone affects the audit process. An abnormal positive tone in annual reports is associated with greater audit effort and higher audit fees.

This study contributes to the determinants of audit fees and audit lag by analyzing the impact of an abnormal positive tone on audit engagement. The literature analyzing the determinants of audit engagement often focuses on the quality of non-textual information. This study analyzes the impact of the quality of textual information (measured by abnormal tone) on audit engagement, which provides evidence of the association between textual disclosure and audit.

This paper investigates the impact of annual reports complexity (associated with tone complexity) on dividend policy and value of dividend policy.

This paper uses the variable complexity provided by the textual analytics software (Diction 7.0) as the proxy for annual reports' tone complexity. The data covered non-financial American firms from years 2011–2019. The pooled ordinary least squares (OLS) regression and the instrumental variable regression are used to test the study’s arguments.

The findings suggest that the signaling theory of dividends holds in the United States. Firms with more complex annual reports tend to distribute more dividends, mainly in environment of high information. When information asymmetry is high, managers would use dividends as a tool to mitigate information asymmetry. Furthermore, the findings suggest that dividend policy has a stronger impact on firm value, especially when the tones of annual reports are highly complex. These findings support the previous results, namely, that managers would opt for dividend policy as a signaling tool for its positive impact on firm value. The results are robust to potential endogeneity issues and alternative proxies for both dividend policy and information asymmetry.

The results demonstrate that the dividends' signaling theory holds in the United States, where the findings cannot be generalized to all markets; However, the findings of this research can be of use to potential and current investors, users of annual reports and decision makers as well.

The paper highlights the effect of the tone complexity of annual reports (using 10K text analytics) on the value of dividend policy and dividend policy itself in a developed economy. Understanding this relation will enable stakeholders to forecast future dividends, choose more appropriate valuation methods and hence restore investors' faith.

Negative disclosure tone in 10-K annual reports has economic consequences, yet relatively little is known about how it is generated. Boards of directors play an important governance role with respect to mandatory disclosures and personally sign off on Form 10-K, leading us to expect directors to influence financial reporting narratives. This study investigates whether the negative tone of firms' narrative annual report disclosures is associated with the human and social capital of its board of directors.

Multivariate regression analyses of negative disclosure tone (Loughran and McDonald, 2011) on board members' average age, gender, education, financial expertise and turnover is performed. A host of supplemental tests to corroborate our primary analysis, including using Sarbanes-Oxley's financial expert mandate as an exogenous shock to board composition, impact threshold for a confounding variable, placebo analysis, portfolio tests of more and less negative disclosing firms and portfolio tests of “loud” versus “quiet” boards are conducted.

Evidence that directors' gender, education, financial expertise and board turnover are associated with more negative disclosure tone, while directors' age is associated with less negative disclosure tone is found. The study also looked within the board to differentiate whether these findings are driven by characteristics of inside directors or outside directors serving on the audit committee, or both, as these are the specific groups of directors we would expect to play a role in disclosure. It was found that negative disclosure tone is associated with a lower bid-ask spread, so this study interpreted more negative tone as containing more descriptive information.

This study helps decode the “black box” of annual report disclosure tone, which Loughran and McDonald (2011) show has important economic implications. The results help inform stakeholders such as policymakers, executives and capital market participants as to how board member traits are associated with disclosure. The findings are particularly important as this study bears witness to the increasing prominence of gender/diversity mandates (e.g. Israel, Norway, California) and financial expertise mandates (e.g. Sarbanes-Oxley).

The purpose of this paper is to investigate: how dimensions of tone vary across different forms of corporate accountability narrative; the impact of tone on readability; and the determinants of tone, including consideration of its use in impression management.

Using a multi-year sample of listed companies, the authors measure dimensions of tone across multiple narrative types within the annual report and standalone corporate social responsibility report. Statistical analysis is used to investigate variations of tone across narrative type, each dimension’s influence on readability and the role of antecedent factors.

Analysis reveals that dimensions of tone vary significantly across narrative types (genres) suggesting that tonal patterns form part of the specific stylistic conventions of each genre. Tone is found to be a significant determinant of readability. Little evidence of obfuscation using tone was found, while disclosure type is the most salient determinant of tone.

The study illuminates latent or underlying disclosure norms that can facilitate the identification of “exceptional” cases that do not conform with expected tonal patterns of a particular narrative type and may warrant closer inspection by preparers, auditors or regulators. The issues raised regarding the clarity and balance of textual disclosures highlight the challenges in regulating corporate narratives.

This study highlights that tone is a more nuanced and layered concept than suggested by much of the prior literature. Further, tone ought to be considered in studies examining textual complexity.