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This paper tests the causal relationship between bid ask spread and cash holding in the short and long run. It uses different proxy of corporate cash holding and test three proxies of a bid-ask spread. It also provides comprehensive and robust evidence for the causal relationship between cash holding and stock liquidity in an emergent market.

This study is based on a sample covering all financial and industrial firms in Tunisia’s stock market from 2008 to 2020. It uses a panel ARDL data approach to test the bi-directional relationship between cash holding and stock liquidity. This paper conducts rigorous statistical analysis of the collected data to test the hypothesized relationship between cash holding and bid-ask spread. This can involve running regression models, performing statistical tests, and analyzing the significance of the estimated coefficients.

Overall, paper’s findings provide empirical evidence supporting the bidirectional causal relationship between cash holding and bid-ask spread. The results highlight the importance of cash holding in determining stock liquidity and suggest that firms with higher cash holdings may face liquidity challenges. These findings have implications for corporate governance and can guide firms and regulators in improving stock liquidity and designing appropriate policies and recommendations.

Overall, the practical implications of this paper suggest that firms can enhance their stock liquidity by improving governance mechanisms and optimizing cash management strategies. Regulators can play a crucial role in creating a conducive market environment, and investors can take into account the relationship between cash holding and stock liquidity when making investment decisions.

We present empirical evidence of the relation causality between stock liquidity and cash holding. Our research is the first to test the bidirectional relationship between bid ask spread and cash holding in the short and long run. Overall, the originality of this paper lies in its exploration of the causal relationship between cash holding and bid-ask spread, the use of multiple proxies for stock liquidity, the examination of an emerging market context, the comparative analysis across sectors, and the practical implications for firms and regulators. These contributions add to the existing body of knowledge and provide new insights into the dynamics of cash holding and stock liquidity.

Previously elaborated research works, dealing with the political uncertainty effect on stock market, have been primarily concerned with such political events as terrorist attacks, elections, wars, natural catastrophes and financial crashes. Such little research has been concerned with civil uprisings and revolutionary movements, as crucial sources of political uncertainty. The purpose of this paper is to study the impact of political uncertainty (resulting from the Tunisian Revolution) on the volatility of major sectorial stock indices in the Tunisian Stock Exchange (TSE).

The authors apply the fractionally integrated exponential generalized autoregressive conditional heteroscedasticity model (FIEGARCH), which helps maintain a direct shock-persistence as well as a shock asymmetric volatility measurement. This model is applied to the daily returns relevant to nine sectorial stock indices and to the Tunisian benchmark index (TUNINDEX) with respect to three sub-periods (before, during and follows the Tunisian Revolution).

The reached findings suggest that the shock impact throughout the Revolution period on construction, industries, consumer services, financial services, financial companies indices’ sectorial and the TUNINDEX return volatilities have proven to be permanent, while its persistence on the other indices has been discovered to be transitory. In addition, the achieved results appear to reveal a low leverage effect on all indices. This result seems to be very important since the Tunisian Revolution turns out to have a very important effect on the TSE.

The paper’s empirical contribution lies in using the FIEGARCH approach to model the Tunisian sectorial indices’ volatility dynamics, persistence degree and leverage effect. This contribution goes a long way in helping regulators and international investors to further recognize the extent to which political instability does participate in affecting the TSE.