Purpose -This study investigates the determinants of banks' profitability in Nigeria using a panel dataset between 2001 and 2015.The results of previous empirical studies are mixed and inconclusive in terms of factors that actually influence the level of bank performance as a result of difference in sample period, estimation techniques, and countries. Design/methodology/approach -Ordinary Least Square and Generalized Method of Moment techniques were utilized. Findings -The results show that bank specific factors such as efficiency ratio, credit risk and capital adequacy are the key determinants of banks 'profitability in the long run. In addition, only capital adequacy exhibits a significant influence. However in the short run, the market concentration and real gross domestic product significantly affect the performance level in Nigeria's commercial banks for the full sample period as well as for period after bank capitalization. Originality/value -No previous research as far as the author's knowledge, has attempted to examine how relative market power affects the level of profitability in the Nigerian commercial banks, taking into account the effect of the 2005 bank capitalization.

Introduction to Statistics Using R is organized into 13 major chapters. Each chapter is broken down into many digestible subsections in order to explore the objectives of the book. There are many real-life practical examples in this book and each of the examples is written in R codes to acquaint the readers with some statistical methods while simultaneously learning R scripts.

The long run debt-growth nexus in sub-Saharan Africa is the main focus of this study. Its analysis is conducted on the basis of theoretical discussions and data considerations. The study employs both panel autoregressive distributed lag (PARDL) model and panel non-linear autoregressive distributed lag (PNARDL) model to examine the relationship between external debt and economic growth using a panel dataset of 22 countries from 1985 to 2015. Its results find that the level of investment significantly influences the long-run economic growth in both linear and non-linear models. However, the longrun coefficient of external debt is only significant in the non-linear model. There is strong evidence of error correction as the lagged GDP per capita is highly significant and negative in the two models.

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By using monthly data for the 2004-2010 period and a vector error correction model approach, this paper evaluates the determinants of real exchange rates for the Nigerian Naira. Estimations suggest that oil prices, broad money supply, level of foreign reserves held by the Central Bank and interest rate differentials with trading partners can be used as good predictors of the long run Naira equilibrium real exchange rate. It is shown that the recent increases in the world price of oil have a significant appreciating effect in the real Naira rate, while increases in the money supply have the opposite impact. The study also uses the behavioural equilibrium exchange rate approach to identify the misalignments in the real Naira rate. Findings point out to the undervaluation of the Naira at the end of 2010.

Regulators in emerging markets are increasingly curtailing the practice of foreigncurrency lending. In such a move Turkish regulatory authorities banned foreign currencylending to households in 2009. This paper examines the evolution of financial dollarization inTurkey in the 2002–2009 period by looking the currency composition of loans and deposits inthe banking system and the macroeconomic developments. We find that the Turkish bankingsystem was unhedged against currency fluctuations and the regulators acted preemptively inbanning the practice

Introduction to Statistics Using R is organized into 13 major chapters. Each chapter is broken down into many digestible subsections in order to explore the objectives of the book. There are many real-life practical examples in this book and each of the examples is written in R codes to acquaint the readers with some statistical methods while simultaneously learning R scripts.

Article History JEL Classification E58, F31The increasing debate on empirical evidences in testing the Mundell-Fleming theory has been the focus of this study. The study examines the effect of central banks" interventions on trilemma constraint using a panel dataset of 30 emerging market economies for the sample period 1980-2014. With the aid of the portfolio balance framework, the findings indicate that the weighted sum of the three trilemma objectives falls in the presence of foreign exchange market intervention. The capacity to loosen the constraints has decreased over time and has been most substantial in African emerging economies. Contribution/ Originality:This study contributes in the existing literature by testing the hypothesis of trilemma constraint in all emerging economies, using the most recent data. The paper contributes the first logical analysis of disaggregating the emerging markets. It documents that central banks do not have the capacity to loosen the trilemma trade-off.