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This paper examines the impact of political instability on the investors' behavior, measured by Google search queries, and on the dynamics of stock market returns.

First, by using the DCC-GARCH model, the authors examine the effect of investor sentiment on the Tunisian stock market return. Second, the authors employ the fully modified dynamic ordinary least square method (FMOL) to estimate the long-term relationship between investor sentiment and Tunisian stock market return. Finally, the authors use the wavelet coherence model to test the co-movement between investor sentiment measured by Google Trends and Tunisian stock market return.

Using the dynamic conditional correlation (DCC), the authors find that Google search queries index has the ability to reflect political events especially the Tunisian revolution. In addition, empirical results of fully modified ordinary least square (FMOLS) method reveal that Google search queries index has a slightly higher effect on Tunindex return after the Tunisian revolution than before this revolution. Furthermore, by employing wavelet coherence model, the authors find strong comovement between Google search queries index and return index during the period of the Tunisian revolution political instability. Moreover, in the frequency domain, strong coherence can be found in less than four months and in 16–32 months during the Tunisian revolution which show that the Google search queries measure was leading over Tunindex return. In fact, wavelet coherence analysis confirms the result of DCC that Google search queries index has the ability to detect the behavior of Tunisian investors especially during the period of political instability.

This study provides empirical evidence to portfolio managers that may use Google search queries index as a robust measure of investor's sentiment to select a suitable investment and to make an optimal investments decisions.

The important research question of how political instability affects stock market dynamics has been neglected by scholars. This paper attempts principally to fill this void by investigating the time-varying interactions between market returns, volatility and Google search based index, especially during Tunisian revolution.

The COVID-19 outbreak has undoubtedly affected overall mental health. Thus, researching resilience is important, as it has been previously discussed as a means to protect people from mental health problems. This study aims to clarify whether survivors of a traumatic event (i.e. cancer survivors) are more resilient to living through another traumatic experience, such as COVID-19, compared to those who have never had such an experience. The study also examines the role of emotional creativity in this process.

A quantitative research design was adopted. The data collection was performed through a survey (N = 338), which was conducted among two separate groups of participants. The first group (N = 152) included the survivors of a traumatic event (i.e. cancer survivors), and the second group (N = 186) included those who did not have such an experience.

The results demonstrate that living through a traumatic experience results in a higher level of resilience during another traumatic experience (i.e. COVID-19), which is the result of higher post-traumatic growth. Moreover, emotional creativity is discussed as an explanatory variable that explains a significantly higher level of post-traumatic growth among survivors of a traumatic event.

This research offers a better understanding of the effect of living through a traumatic event on post-traumatic growth and resilience in living through another traumatic experience. Moreover, post-traumatic growth is explained through emotional creativity improvement, which happens after experiencing a traumatic life event.