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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 purpose of this paper is to examine the effect of the presence of political connections on firm performance through related party transactions in Tunisia, a country where that is characterized by the Jasmin revolution in 2011.

The study uses a sample of nonfinancial firms between 2008 and 2014 listed on the Tunis Stock Exchange and uses generalized least squares on panel data.

First, the political connection and related parties' transaction enhances firm's market performance. Second, the study reveals that political connection moderates the relationship between the related party transactions and firm performance only in the period after revolution. Indeed, politicians seem to have used related party transactions to expropriate firms in a period of political instability. Finally, we show that politicians are more attracted by firms with higher market performance and with higher number of related parties' transactions.

The empirical findings contribute to the current debate on the benefits and costs of political connections in emerging economies. It shows that political connections enhance market valuation of firms. However, political connection costs appear during political instability period.

This study addresses the interaction between related party transactions, political connections and firm performance. It is the first study to test if the related party transactions are used as a tool by politicians to expropriate firms.