This study attempts to demonstrate the contributions of the zakat institution to poverty alleviation. We integrate the zakat system into Overlapping Generations (OLG) framework, classifying people into three classes as zakat-receivers, zakat-payers, and neither receivers nor payers, and introducing birth and class-switching probabilistic approach. We assess efficiency of zakat mechanism in eradicating poverty in comparison with a simple taxation system. Throughout various simulative scenarios and cases, we show that the zakat system is actually an optimal taxation threshold for an efficient poverty alleviation.

This research examine impact of soccer performance of the team on its sponsors' stocks. The analysis covers 2002-2018 time horizon and 20 most famous football teams all over the world.

We mainly use Deloitter Football Money League reports of 2002-2018. We deal with how soccer performance of teams affect their Kit Manufacturers' and Shirt Sponsors' stock prices.

This study develops a new Early Warning System (EWS) model for predicting any types of economic and financial turmoil between 1980-2016 over 41 countries using Distributed Lag Logit technique (DLL) under Almon's (1965) approach in multivariate framework.

In addition, we also develop a brand-new threshold selection methodology which outperforms existing ones in many dimensions. We test this threshold selection method on our DLL UWS model and averagely it correctly predicts 96.13% of total crisis events in advanced, while issuing only 11.94% false signals during tranquil periods.