Kappel, V (2009) explored the impact of financial liberalization on poverty and income inequality using panel data and cross-national data developed and developing countries. Applying the OLS and 2SLS methods, we find a significant negative relationship between financial development and income inequality. In developed countries, little evidence was found that financial development reduced income inequality, whereas in developing countries, financial liberalization increased income inequality. Pradhan (2010) examines the causal relationship between economic growth, financial development and poverty reduction in India during the period 1951 to 2008. The empirical analysis deploys cointegration and dynamic Granger causality. There is a long-term equilibrium relationship between financial development, economic growth and poverty reduction. The Granger causality test shows that there is unidirectional causality from poverty reduction to economic growth, from economic growth to financial development, and from financial development to poverty reduction and the economy. growth to poverty reduction. It also shows the lack of causality between financial development and economic growth, and between poverty reduction and financial development. The research study recommends that economic growth is of paramount importance in boosting financial development and both could play a central role in reducing poverty. Jeanneney and Kpodar (2006) examine how financial development is useful in reducing poverty, on the one hand through the McKinnon driven effect and on the other hand. on the other hand by promoting economic growth. The study is carried out on a panel of developing countries over the period from 1966 to 2000 first by using OLS then by dynamic panel Met...... middle of paper .......The bank Albania (2009) examines the causal association between financial development and economic growth for the Albanian economy using the Granger causality test for five different indicators of financial development. For non-stationary and non-cointegrated series, the VAR model was constructed and later the above test was applied. For non-stationary series but with a cointegration relationship, the Granger causality test was applied after the construction of the vector error correction model (VECM). The empirical results of the study show that there is a positive relationship between all indicators measuring financial development and long-term economic growth. In the short term, this relationship is quite vague since different indicators give different results. The data used in this article belongs to the period 1996-2007.