Using an event study analysis, we aim to investigate the impact of political, economic, social and terrorism events, on the Tunisian financial sector, over the period of the Tunisian Revolution; from (12)2010 to (04)2014. Based on a daily data analysis using three selected variables ; Sectoral index of performance of Tunisian banks ,Index of Tunisian stock market and the exchange rate Euro/ Dinar, the EGARCH model results have highlighted that general events decrease the return of our variables, and increase their volatility. More, results have shown that stock market is very sensitive to political and terrorism events, bad economic events increase the volatility of the exchange rate, and decrease the performance of banking sector. Political events remain the more important component, they affect negatively all the endogenous variables; coefficients in the mean equation show an important decline in term of the return of banking sector ,the stock market and the exchange rate.
The main purpose of this paper is to determine the major causes of the underdevelopment of Islamic finance in Tunisia. Indeed, it"s surprising to note that Zitouna bank established in May 2010 is the first Islamic Tunisian bank although 99% of Tunisians are Muslim and Islam is the religion of the State according to the Constitution. So we rely in our paper on the opinions of number of professors of finance and economics as educated people to prove or reject our hypothesis that the underdevelopment of Islamic finance in Tunisia can be explained by the ignorance of its main principles and advantages. Ours findings reveal that this branch of finance is still largely unknown, not only from public but also from professionals. The results obtained surprisingly show that this insignificance of Islamic banking cannot be explained by the fact that Tunisia has been governed since her independence by a secular left-wing party. Indeed, only 3% of respondents believe that legislation and regulation in Tunisia represent an obstacle to the development of Islamic finance. Moreover, respondents are not very optimistic about the future role of Islamic financing.
Since 1970, the debate on the relationship between taxation and corporate financial performance has intensified during these last decades. The aim of this paper is to examine this relationship thesis. If it is acknowledged that incentives become a widespread method in the world in order to promote the investment, the paper contribute to the literature by testing the effects of an inciting taxation on the profitability of the Tunisian exporting firms in the sector of the Mechanical and Electric Engineering Industries. The empirical study, conducted on a sample of 60 firms, reports the following results: the estimation of the benefit and the output conclude that an increase of taxation affects negatively these two financial criteria of the performance. In addition to the use of temporal data, an approach based on an investigation by questionnaire confirms the results found at the time of the other approaches.
PurposeIn this article the authors will focus on the state of the art on information filtering and recommender systems based on trust. Then the authors will represent a variety of filtering and recommendation techniques studied in different literature, like basic content filtering, collaborative filtering and hybrid filtering. The authors will also examine different trust-based recommendation algorithms. It will ends with a summary of the different existing approaches and it develops the link between trust, sustainability and recommender systems.Design/methodology/approachMethodology of this study will begin with a general introduction to the different approaches of recommendation systems; then define trust and its relationship with recommender systems. At the end the authors will present their approach to “trust-based recommendation systems”.FindingsThe purpose of this study is to understand how groups of users could improve trust in a recommendation system. The authors will examine how to evaluate the performance of recommender systems to ensure their ability to meet the needs that led to its creation and to make the system sustainable with respect to the information. The authors know very well that selecting a measure must depend on the type of data to be processed and user interests. Since the recommendation domain is derived from information search paradigms, it is obvious to use the evaluation measures of information systems.Originality/valueThe authors presented a list of recommendations systems. They examined and compared several recommendation approaches. The authors then analyzed the dominance of collaborative filtering in the field and the emergence of Recommender Systems in social web. Then the authors presented and analyzed different trust algorithms. Finally, their proposal was to measure the impact of trust in recommendation systems.
No abstract
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.