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This study investigates investor trading behaviour around regular and one-off public holidays on the Sydney Stock Exchange (SSX) from 1901 to 1950. The purpose is to examine whether trading patterns differ between regular holidays, which are known in advance, and one-off holidays, which are unexpected. The study provides insights into the predictability of holidays and its influence on market activity, contributing to the broader literature on investor inattention and market anomalies.

Using a novel dataset constructed from handwritten share price lists covering 14,224 trading days, we perform quantitative analysis to assess trading volume before and after regular and one-off public holidays. Ordinary least squares regression models are employed to identify the presence of a holiday effect, accounting for various fixed effects and time-varying factors such as geopolitical events.

We find that trading volume is significantly lower on the day before regular holidays and higher on the day after, consistent with the investor inattention hypothesis. In contrast, no significant holiday effect is observed for one-off holidays. This suggests that predictability plays a crucial role in influencing investor behaviour, with irregular, less predictable holidays having less impact on trading patterns.

The study is limited by the historical nature of the data, which may not fully capture the diversity of modern trading environments. Additionally, the analysis is restricted to the SSX and may not be generalisable to other markets or time periods. Future research could explore similar effects in different contexts or with more recent data.

This research provides valuable insights for market participants and regulators by demonstrating how the predictability of holidays influences market activity. Understanding these patterns could help in making more informed decisions during periods of expected low trading volumes.

The study underscores the role of public holidays in shaping investor behaviour, with broader implications for understanding how societal events influence financial markets. This is particularly relevant in discussions about the impact of unexpected events on market stability.

This is the first study to compare the effects of regular and one-off public holidays on trading volumes in a historical stock market context. Our findings highlight the importance of event predictability in financial markets, offering a new perspective on how historical market behaviours can inform current financial theories.

This study investigates the relationship between media and social media sentiment and the likelihood of CEO pay cuts. The purpose is to examine whether and how these pay cuts influence market reactions. The study aims to provide insights into how external sentiment affects corporate decision-making and market perceptions, particularly in the context of CEO compensation.

Using a sample of 6,331 firm-year observations from 2015 to 2021, this paper employs quantitative analysis to assess the association between media and social media sentiment and CEO pay cuts. We utilise company DEF14A SEC filings to identify CEO pay cut dates and capture traditional media and Twitter sentiment 30-days prior to these filing dates.

We find a negative association between media and social media sentiment and CEO pay cuts, indicating that firms facing more negative sentiment are more likely to engage in pay cuts. We find evidence that CEO pay cuts are negatively correlated with market reactions, suggesting markets generally do not seem to favour decisions to cut CEO pay. This relationship, however, is complex and influenced by multiple factors, including the nature of sentiment and the specific components of CEO compensation.

The study faces limitations in identifying the varying degrees of pay cuts and their motivations. Additionally, the content of news articles and Twitter posts used to measure sentiment was not specifically identified, which may affect the accuracy of sentiment measurement.

This research offers valuable insights for managers and corporate decision-makers, highlighting the potential impact of public sentiment on critical executive compensation decisions.

The study underscores the influence of media and social media in shaping public opinion and driving corporate actions, highlighting the growing intersection between social perceptions and corporate governance. This has broader implications for how firms engage with media platforms and manage their public image, particularly in the realm of executive compensation.

We are the first to study the impact of media and social media sentiment on CEO compensation decisions and market reactions. By employing DEF14A filings as event dates for market reaction studies, we offer a novel approach to analysing the impact of executive compensation changes on market behaviour.