Search results

This study examines the impact of social media investor sentiment on the stock market performance through qualitative and quantitative proxies.

The authors use a sample of daily stock performance related to S&P 500 Index for the period from December 18, 2017, to December 18, 2018. The social media investor sentiment was assessed through qualitative and quantitative proxies. For qualitative proxies, the study relies on three social media resources”: Twitter, Trump Twitter account and StockTwits. The authors proposed 3 methods to reflect investor sentiment. For quantitative proxies, the number of daily messages published from Trump Twitter account and StockTwits is considered as a signal of investor sentiment. For regression model, the study adopts the autoregressive distributed lagged to determine the relationships between the nonstationary series.

Empirical findings provide evidence that quantitative measures of investor sentiment have significant effects on S&P’500 performances. The authors find that Trump's tweets should be interpreted with caution. The results also show that the number of Trump's tweets on t−1 day have a positive effect on performance on day t.

Social media sentiment contains information for predicting stock returns and transaction activity. Since, the arrival of new information in capital markets triggers investor sentiment on social media.

This study investigates the investors’ sentiment through social media and explores quantitative and qualitative measures. The amount of information on social media reflects more the investor sentiment than content analysis measures.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2022-0818

The research documented in this paper aims to examine multiple factors related to borrowers' default in peer-to-peer (P2P) lending in the USA. This study is motivated by the hypothesis that both P2P loan characteristics and macroeconomic variables have influence on loan performance. The authors define a set of loan characteristics, borrower characteristics and macroeconomic variables that are significant in determining the probability of default and should be taken into consideration when assessing credit risk.

The research question in this study is to find the significant explanatory variables that are essential in determining the probability of default for LendingClub loans. The empirical study is based on a total number of 1,863,491 loan records issued through LendingClub from 2007 to 2020Q3 and a logistic regression model is developed to predict loan defaults.

The results, in line with prior research, show that a number of borrower and contractual loan characteristics predict loan defaults. The innovation of this study is the introduction of specific macroeconomic indicators. The study indicates that macroeconomic variables assessed alongside loan data can significantly improve the forecasting performance of default model. The general finding demonstrates that higher percentage change in House Price Index, Consumer Sentiment Index and S&P500 Index is associated with a lower probability of delinquency. The empirical results also exhibit significant positive effect of unemployment rate and GDP growth rate on P2P loan default rates.

The results have important implications for investors for whom it is of great importance to know the determinants of borrowers' creditworthiness and loan performance when estimating the investment in a certain P2P loan. In addition, the forecasting performance of the model could be applied by authorities in order to deal with the credit risk in P2P lending and to prevent the effects of increasing defaults on the economy.

This paper fulfills an identified need to shed light on the association between specific macroeconomic indicators and the default risk from P2P lending within an economy, while the majority of the existing literature investigate loan and borrower information to evaluate credit risk of P2P loans and predict the likelihood of default.

The COVID-19 pandemic resulted in economic and financial hardships on firms, forcing them to make tough decisions regarding their social and ethical behavior. The purpose of this study is to examine whether the COVID-19 pandemic affected the corporate social responsibility (CSR) performance and disclosures of the US S&P 500 firms. In particular, this study examined the relationship between both CSR performance and COVID-19 and the relationship between CSR disclosures and COVID-19 along with the dimensions of environmental, social, and governance. Using t-tests and panel data analysis for the years 2018 through 2021, we found that CSR performance and CSR disclosure increased after the start of the pandemic for total CSR and for the dimensions of environmental, social, and governance. We also found that CSR performance was impacted by a larger change than CSR disclosures for all dimensions of CSR. This study is one of the first to examine the impact of COVID-19 on CSR and helps stakeholders understand the role that it played on firm decisions. The results further illustrate the importance that firms’ managements place on CSR performance and disclosures, even during a time of significant challenge and uncertainty.

This study aims to analyze the connection between institutional isomorphic pressures and both women serving on boards and women’s influence on boards within large American firms.

This study examines a longitudinal panel data set of all Standard and Poor’s (S&P) 500 organizations across a seven-year period from 2009 to 2015.

The analyses affirm that institutional isomorphic pressures impact the prevalence and influence of women on boards. Evidence suggests that coercive and normative pressures strongly impact the number of women serving as corporate directors, whereas the power of women directors is linked only to mimetic pressures.

The research suggests that to increase the number of women serving as directors, the industry must first increase the overall number of women serving in senior management roles. Once women directors gain a critical mass of three women on the board, the association with the total number of women directors, the number of boards upon which they concurrently serve, the power of women directors being selected to board leadership and the influence of women directors increase.

This paper extends existing board diversity work by examining institutional pressures at the international, national and firm levels. By examining the relationship between coercive, normative and mimetic pressures on both the prevalence of women on boards and the influence of women on boards, the authors illuminate certain mechanisms that shape the likelihood of board appointment and placement in more powerful positions.

The authors compare sentiment level with sentiment shock from different angles to determine which measure better captures the relationship between sentiment and stock returns.

This paper examines the relationship between investor sentiment and contemporaneous stock returns. It also proposes a model of systems science to explain the empirical findings.

The authors find that sentiment shock has a higher explanatory power on stock returns than sentiment itself, and sentiment shock beta exhibits a much higher statistical significance than sentiment beta. Compared with sentiment level, sentiment shock has a more robust linkage to the market factors and the sentiment shock is more responsive to stock returns.

This is the first study to compare sentiment level and sentiment shock. It concludes that sentiment shock is a better indicator of the relationship between investor sentiment and contemporary stock returns.

By examining the impact of the day of the week during the COVID-19 pandemic and the subsequent economic recession, it is possible to provide insights into market behaviour during volatile times that can be furnished to investors and policymakers for informed decisions.

This study investigates the day-of-the-week effect on the Colombo Stock Exchange (CSE), with particular emphasis on the variations in this effect during the COVID-19 pandemic and the subsequent economic crisis.

The study applies the Exponential Generalised Autoregressive Conditional Heteroskedasticity (EGARCH) model, allowing for the evaluation of asymmetric responses to positive and negative shocks. The data span from January 2006 to December 2022 and are segmented into different periods: the entire sample, war and post-war periods, the COVID-19 pandemic and the economic crisis period, each reflecting distinct market conditions.

The study uncovers a significant day-of-the-week effect on the CSE. Mondays and Tuesdays typically show a negative effect, while Thursdays and Fridays display a positive impact. However, this pattern shifts notably during the COVID-19 pandemic, with all weekdays exhibiting significant positive impact, and varies further across different waves of the pandemic. The economic crisis period also shows unique weekday effects, particularly before and after an important political event.

To investigate the impact of board characteristics (board gender diversity, board chair age, board subcommittees, board meetings, board skill, board size and board independence) on corporate social responsibility disclosures (CSRD) of state-owned enterprises (SOEs) in Kenya during the period 2015–2018.

The study employed fixed-effects balanced panel data to examine the impact of board characteristics on CSRD. The analysis is repeated using two regression estimators (robust least square and random effects) and the four CSRD subcomponents to evaluate the robustness of the main analysis.

The results established that board gender diversity, board chair age and board subcommittees had significant negative effects on CSRD. The impact of the remaining board characteristics was found to be insignificant.

The study was limited to the disclosures included in the annual reports, which means that information disclosed in other media, like websites, was not considered. The second limitation concerns mediating and moderator variables that were not considered.

There is a need for a stricter corporate governance implementation mechanism, as opposed to the “comply or explain” principle, since results suggest that most of the board characteristics do not appear to be impactful. Additionally, the low level of reported CSRD calls for the establishment of Corporate Social Responsibility or related committees.

The evidence suggests that SOEs are reluctant to report on issues such as ethics, health and safety initiatives, environment and social investments.

The paper extends the literature on the impact of board characteristics on CSRD in unlisted non-commercial SOEs in a developing country context.

Considering environmental, social and governance (ESG) factors is vital in climate change mitigation. Energy companies must incorporate ESG into their business plans, although it unquestionably affects their corporate financial performance (CFP). This paper aims to investigate the effect of ESG on energy companies’ profitability through return on assets by analysing the combined score and individual dimensions of ESG.

The study examined a panel data sample of 911 firm-year observations for 85 European energy-sector companies during 1995–2020. Two distinct modelling specifications were applied to explore the impact of ESG components on the CFP of EU energy companies. The financial data and ESG scores were obtained from the Thomson Reuters Eikon database in July 2021.

The empirical findings revealed that energy companies’ profitability is marginally and negatively affected by their ESG performance. Whereas independent evaluation of the ESG subcomponents indicated that environmental responsibility has a significant negative effect. In contrast, corporate social and governance responsibilities are positively but not significantly associated with the company’s CFP.

This study fills a research gap in the ESG–CFP literature in the European energy sector, a pioneer in sustainable development. To the best of the authors’ knowledge, this study’s originality lies in its analysis of ESG factors’ role in profitability by considering different EU countries and energy sectors.

This study aims to address gaps and limitations in the literature on corporate governance and stock liquidity. It explores the potential benefits of increasing female representation in corporate leadership, which has been a subject of debate and policy intervention in recent years.

Based on prior empirical studies and by integrating the insights of different theories, this study links gender diversity to stock liquidity and uses a multivariate panel regression approach.

The results show that gender diversity, both on the board and in executive positions, positively and consistently affects stock liquidity across different business cycles. The findings reinforce the notion that diverse executive leadership is crucial and influential irrespective of the prevailing economic conditions.

This study has practical implications for investors, managers and policymakers who are interested in the benefits of gender diversity in corporate leadership. It suggests that increasing the percentage of female executives and board members can improve stock market liquidity, which is a key indicator of market efficiency and firm value.

This study advocates for gender equality and diversity in corporate leadership, which can benefit society. It demonstrates that the presence of women directors can enhance financial stability and thus benefit the stakeholders and the community.

This study contributes to the academic literature by examining the impact of gender diversity on board and executive levels on stock liquidity in the US market. Previous research on this topic has mainly relied on French or Australian data. Moreover, this study extends previous work through examining the case of executives’ gender diversity. To the best of the authors’ knowledge, this study is the first to analyze the relationship between gender diversity and stock liquidity across different business cycles, providing a nuanced understanding of how economic contexts affect this relationship.