The purpose of this paper is to test the long-term relationship between banks financial performance and two groups of variables, internal variables specific to the bank, and exogenous macroeconomic variables. To appreciate this long-term relationship, we applied the Fully Modified Ordinary Least Squares FMOLS method as a technique for estimation cointegrated panel data. Over a period of 26 semesters (2004 to 2016), our results show that a set of internal variables explains the financial performance of banks. As for external factors, economic growth explains this performance, while inflation has no predictive power of performance at least for our sample of the main Moroccan listed banks.

The purpose of this paper is to measure whether the investor operating on the Casablanca Stock Exchange displays a behavior of overconfidence, and to examine, under this hypothesis, the role of overconfidence in the explanation of fluctuations in the value of the MASI benchmark index over a 16-year period from 2002 to 2017. Using the econometric techniques in terms of causality and conditional volatility modeling, the results of this research show the presence of the overconfidence behavior and the positive effect of the latter on the conditional volatility of the monthly return of the MASI index.

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