Search Results (51)

This study examines stock market reactions to female board appointments among 34 publicly listed companies in Saudi Arabia between 2021 and 2024. We employ a multi-method approach covering 36 announcements. Our primary methodology is an event study, which we complement with two distinct robustness checks: the Local Projections (LP) method to capture the evolving nature of market responses and the Quantile-on-Quantile analysis to investigate how market conditions interact with the three phases surrounding the event—the anticipation period before the appointment, the appointment event itself, and the post-appointment adjustment period. This comprehensive methodological framework allows us to capture the immediate market response to appointment announcements and the longer-term implications for firm performance while accounting for various econometric challenges inherent in financial market data. Our findings reveal a negative market reaction that gradually intensifies, becoming marginally significant by the tenth trading day. This pattern suggests that investors in the Saudi market may initially view female board appointments with skepticism, potentially reflecting uncertainty about the impact of gender diversity in a traditionally male-dominated business environment. Furthermore, the evolution from 2021 to 2024 suggests a market that is progressively developing more sophisticated frameworks for evaluating female board appointments. Rather than exhibiting a monotonic trend toward either increasingly positive or negative reactions, the market appears to be engaging in a learning process characterized by periodic reassessments. Moreover, our results indicate that while the immediate event and anticipation phases yield mixed impacts across the return distribution, the adjustment period exhibits a robust and significantly negative interaction with market returns. These findings suggest that market overreactions, particularly during bullish periods, contribute to a pronounced correction effect following female board appointments. Full article

This work explores the link between CEO turnover patterns and firms’ climate change exposure in a data set of over two thousand U.S. publicly traded firms. The findings demonstrate that CEO turnover is negatively associated with measures of climate change exposure developed with machine learning based on the frequency of discussions linked to climate change in the firms’ earnings conference calls. The results further indicate that this significant negative relationship exists in the year after the CEO’s departure from the firm, not before their departure. CEO turnover scenarios differ in their impact on a firm’s climate change exposure and sentiment. The focus of a firm’s management and financial analysts covering the firm can shift away from the issues of climate change. The negative and significant relationship with firms’ climate change exposure is observed particularly for forced CEO departures in firings or resignations, as well as for outsider CEO replacements. No significant relationship is found for CEO departures due to retirement or for cases of internal CEO succession. The results provide insights for decision makers, investors and boards of directors trying to evaluate the role of CEO turnover in climate change exposure at firms. Full article

Audit committees monitor the actions of managers as they pursue the goal of shareholder wealth maximization. The purpose of this study is to measure the impact of audit committee oversight on novel aspects of firm performance, including investor rationality, price expectations, human capital, and research and development expenses. It extends the literature to non-financial outcomes of audit committee oversight. The literature thus far has focused on the financial effects of audit committee oversight, such as return on assets, return on equity, risk, debt capacity, and firm value. Data was collected from 588 publicly traded firms in the U.S. pharmaceutical industry and energy industry from 2010 to 2022. Audit oversight was measured by the novel measurement of the frequency of the term ‘audit committee’ in annual reports and Form 10Ks from the SeekEdgar database. COMPUSTAT provided the remainder of the data. Panel Data fixed-effects models were used to analyze the data. Audit committee oversight significantly increased investor rationality, significantly reduced price expectations, and significantly increased human capital investment. An inverted U-shaped relationship occurred for audit committee oversight and research and development expenses, with audit oversight first increasing research and development expenses, then decreasing them. The study makes several contributions. First, the study uses a novel measure of audit oversight. Second, the study predicts the effect of audit committee oversight on unexplored non-financial measures, such as human capital and research and development expense. Third, the study offers a current test of the Miller model, as the last tests were performed over 20 years ago. Fourth, the study examines the impact of auditing on market measures that have not been explored in the literature, such as investor rationality and short selling. Full article

Firms frequently face a tradeoff between the advantages of upholding sustainability and ESG performance and the expenses associated with participating in ESG initiatives. This tension leads to an increase in greenwashing practices, which ultimately undermines genuine sustainability efforts and misleads stakeholders. Motivated by this trend, our study examines the influence of a macro-level factor, specifically local city-level governments’ GDP manipulation, on the extent of firms’ greenwashing, highlighting how government behavior can distort sustainable business practices. Using the data of the publicly traded Chinese manufacturing companies during the period of 2007–2019, we find a positive and significant relationship between the extent to which firms engage in greenwashing and the extent of local city-level governments’ GDP manipulation. Additional analysis reveals that firms’ financial constraints and external monitoring are the channels through which governments influence firms’ greenwashing. In addition, the finding of a positive association between firm greenwashing and government GDP manipulation is more pronounced in regions with a less developed marketization index, in periods before China’s anti-corruption campaign, in state-owned firms, and in firms at the business life cycle of the mature stage. Our study addresses a gap in the literature by demonstrating how government economic interventions influence firms’ sustainability performance. Full article

This study aims to explore the potential association between the performance of the stock market and the growth of the rural economy in China. It examines the impact of regional market volatility on rural macroeconomic indicators, which functions through the equity price fluctuations of locally listed firms. The analysis utilizes financial performance data from publicly traded companies across 283 prefecture-level cities within 31 provinces in China, spanning from 1996 to 2021. This research documents a resource agglomeration effect, which is induced by the inflow of various resources by listed companies into their respective regional areas, and which emerges as the key driver for the development of the rural economy in those regions. Additionally, this study uncovers the advantages of the risk diversification effect that arises from the aggregation of resources. These findings have three significant implications. First, both effects are identified as concurrent mechanisms without any evidence of a crowding-out effect. Secondly, multiple avenues are presented through which financial capital can affect the rural economic development of a region. Lastly, this study suggests specific strategies for assessing the equity market’s role in ensuring the sustainable development of the Chinese rural economy. Full article

Existing research critically examines the influence of environmental, social, and governance (ESG) ratings on corporate financial performance (CFP), with outcomes varying considerably. This study employs a dataset of publicly traded firms across 16 countries within the hospitality sector from 2005 to 2022 to examine the ESG-CFP relationship. Fixed effects regression results demonstrate a positive linkage between ESG ratings and CFP, utilizing both comprehensive ESG ratings and discrete pillar ratings. These findings remain robust across various performance measures including return on assets, return on equity, and Tobin’s Q. Heteroscedasticity and endogeneity concerns are mitigated through generalized least squares and two-stage least squares methods, respectively. Moreover, the positive impact of ESG on CFP exhibits greater potency in the United States relative to other countries and was more pronounced during the COVID-19 era. These findings offer valuable insights for business executives, investors, and policymakers in supporting ESG initiatives, guiding investment decisions, and formulating effective policy directives. Full article

This study assesses the extent of public goods provision by Brazilian firms and how this behavior has changed over time. We use text data of publicly traded companies’ annual standardized financial declarations from 2010 and 2022 and apply natural language processing techniques to extract ESG (environmental, social, and governance) keywords related to the provision of public goods. Context and sentiment analyses were used to supplement the information extracted from the raw keyword counts; these analyses were conducted using diverse regression techniques. We found a pronounced increase in keyword mentions over time; in particular, “responsibility” and “sustainability” appeared more frequently. Virtually all firms became more dedicated to ESG practices, particularly those that had a low frequency of ESG mentions in a positive context. Overall, it seems that large Brazilian corporations have embedded comprehensive ESG policies into their business practices, thus aligning their strategies with those of pioneering multinationals. Full article

This study explores the relationship between intellectual capital (IC) and the financial performance of 250 publicly traded companies in France, Germany, and Switzerland from 2009 to 2018, addressing the gaps in prior research regarding the differential impacts of IC components across countries and industries in Western and Central Europe. Using the Value-Added Intellectual Coefficient (VAIC™) approach, this study evaluates human capital efficiency (HCE), structural capital efficiency (SCE), and capital employed efficiency (CEE). Panel regression analyses at the country and industry levels were conducted to assess their effects on financial metrics, such as return on equity (ROE), return on assets (ROA), and asset turnover ratio (ATO). The findings reveal a significant positive association between SCE, CEE, and firm performance, with CEE showing the most substantial effect, while HCE had a relatively weaker impact. Additionally, the study uncovers a trade-off between the accumulation of patents and trademarks and short-term financial performance, raising new considerations for intellectual property management. This research contributes to the literature by providing a nuanced understanding of how IC components influence financial outcomes across different contexts and offers practical insights for firms aiming to optimize structural capital and capital-employed strategies for improved financial performance while acknowledging the limitations regarding the sample of publicly traded firms. Full article

This study examines the impact of gender diversity in the positions of board commissioners, executive directors, and audit committee members on the financial performance of firms experiencing financial trouble. It also evaluates whether the presence of a CEO with multiple responsibilities moderates this relationship. The analysis encompassed 224 publicly traded companies from the non-financial sector, spanning the years 2012 to 2021. The study employed the dynamic panel model system GMM to address issues of endogeneity, simultaneity, and heterogeneity in the data. The findings indicate that the presence of women on supervisory boards and in senior positions has a substantial impact. Companies with a higher number of female board members have reduced financial hardship among Malaysian listed enterprises. Female directors exhibit a greater level of caution and risk aversion while participating in management choices, which is a significant conclusion. Research indicates that the majority of financial variables are inherently endogenous, so dynamic models are better suited for analyzing the interaction between these variables. This study also presents the notable correlation between gender diversity on boards of management, CEO duality, and financial difficulty. Full article

In this paper, we used data from publicly traded restaurant firms between 2000 and 2019 to test the effectiveness of multiple discriminant analysis (MDA) and logistic regression (logit) in predicting the probability of bankruptcy in the restaurant industry. We constructed various financial ratios extracted from the financial information and analyzed them to determine the optimal models. Our results show that liquid ratios (particularly the quick ratio), operating cash flow, and working capital emerge as the most crucial indicators of potential bankruptcy filings for restaurant firms. The results also show that the logit model performs better within the sample. However, both models exhibit similar predictive capacities with out-of-sample data. Full article

This paper considers the impact of the composition of the top management team on the credit default risk of the firm. Finance theory suggests that shareholders prefer higher levels of risk than the risk-averse executives managing the firm. Increasing the influence of female executives may reduce credit default risk, as female executives have been shown to be associated with lower firm risk. Alternatively, as diversity has been shown to improve the quality of group decision-making, a higher but optimal credit default risk may result. This paper uses a matched sample of 6,652 firm-year observations of publicly traded American firms over the period 2010–2020 to investigate the relationship between gender power within the top management team and credit default risk as measured by the Altman Z-score. This paper finds a convex relationship between the Altman Z-score and the influence of female executives. In other words, top management teams where power is shared between female and male executives accept higher levels of credit default risk than teams dominated by just female (or just male) executives. However, this paper also finds that an excessively high credit risk is negatively associated with the influence of female executives. Full article

Technology acquisitions are one of the most common growth strategies for firms. Firms that have made multiple acquisitions in the past are more likely to make new ones. With previous M&A experience, firms are more likely to make acquisitions. The acquisition rate is the total number of acquisitions a firm has made at a given time. In technology acquisition, the acquisition rate affects innovative firm performance. The more frequent acquisitions a firm makes, the less innovative performance will occur. A high acquisition rate negatively affects post-acquisition performance by dominating the attention of decision-makers and overloading the firm. During the process, there needs to be structural integration between the acquirer and the target firm. This study empirically analyzes 380 cases of technology acquisitions of U.S. publicly traded companies from 1990 to 2005. The results show that a high acquisition rate is negatively related to the post-acquisition innovation performance of the acquirer. Although structural integration has no impact on the negative relationship between post-acquisition performance and acquisition rate, considering the acquisition rate when pursuing M&A allows acquiring firms to avoid detrimental consequences. Full article

The rapid development of digital technology has injected new vitality into green technological innovation within manufacturing enterprises. Proper application of digital technology during the innovation process can propel global sustainable development. Using Chinese publicly traded manufacturing firms as a sample, this study employed a constructed digital technology innovation network and OLS models to unveil the mechanisms through which digital technology application affects green technological innovation. This research reveals a significant positive impact of the breadth and depth of digital technology applications on companies’ green technological innovation performance. Green human resource allocation serves as an intermediary in this relationship. Furthermore, the embeddedness and structural embeddedness of the digital technology innovation network play a significantly positive moderating role in the relationship between digital technology applications and green human resource allocation. This discovery provides a theoretical foundation for how companies can harness digital technology to promote green innovation within China’s digital strategy. It aids manufacturing enterprises in optimizing digital technology applications, improving green human resource allocation, and facilitating the development of digital technology innovation networks, advancing more sustainable development and contributing to global environmental goals. Full article

Recent corporate governance failures have heightened stakeholder expectations that the board of directors engage in robust oversight of the firm’s risk management processes. This expectation is in line with widely embraced enterprise risk management frameworks, which assert that strong board risk management is a key component of an entity’s risk management process. We use a hand-coded measure of board engagement in risk management from the recent literature to measure the robustness of that oversight for a sample of large, publicly traded U.S. firms and examine the relationship between robust board risk management (board risk management) and firm-wide strategies for mitigating financial reporting risk. While controlling for board composition-related characteristics, we found a positive association between robust board risk management processes and two avenues for mitigating financial reporting risk (i.e., more effective internal control over financial reporting and the selection of industry specialist auditors). Our results indicate that firms with more robust board risk management are associated with fewer actual instances of materially misstated financial statements and less earnings management. Full article

Establishing an enterprise risk management (ERM) system is widely viewed as providing firms with the tools and processes needed to build resilience and expertise, enabling them to manage the consequences of crises that have led to the collapse of major firms across different industries globally. Intended for use in advanced accounting, auditing, and finance courses, this case study (of a true event) describes the development and implementation of an ERM system for a U.S. multinational nonprofit firm during the 2015–2021 period. The case study’s main learning objectives are several-fold. First, couched within the recent economic environment, it informs students on some of the more important academic and applied research on corporate risk management. Second, students will learn to analyze the content of a questionnaire designed to capture the integrated effects of the firm’s risk culture, risk structure, risk governance, and control for establishing its risk profile. Third, they will learn to create and apply multi-dimensional risk indices to measure and prioritize the firm’s risk exposures. Finally, the last learning outcome focuses on strategies to triangulate the firm’s overall risk profile and risk prioritization results to construct mitigation strategies that build resilience and create value through risk diversification, information signaling, the exploitation of natural hedges, and enhancing the board’s governing efficiency. The nonprofit nature of the firm in this case study introduces no methodological or conceptual constraints or limitations in applying the proposed risk management methodologies to for-profit or publicly traded firms. Full article