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Purpose – The purpose of this paper is to examine the relationship between competition and efficiency in the Ghanaian banking industry. Design/methodology/approach – Data on 26 banks from 2004 to 2011 is used to estimate technical and cost-efficiency scores by the data envelopment analysis while the Boone indicator is employed to proxy for competition. Controlling for bank size, lending, income diversification, tangibility, leverage and profitability, ordinary least squares, instrumental variables and fixed effects estimations are used to estimate the panel regression model. The authors also apply the growth convergence theory to examine the existence of efficiency convergence. Findings – The results points to improvements in cost efficiency (CE) and competition within the banking industry. From the empirical estimations, the findings suggest that competition exerts a positive influence on CE. The authors also find evidence of convergence in both technical and CE. Research limitations/implications – The study recommends that efforts at improving competitiveness of the banking industry will translate into lower interest rate spread through improved CE. This will ultimately improve access to bank credit and impact positively on economic growth. Future studies could also examine productivity changes and scale economies in the banking industry. Originality/value – To the authors best knowledge, this is the first study to apply the Boone (2001) indicator in assessing the competitiveness of the Ghanaian banking industry. This is also the first study to examine efficiency convergence within the banking industry in Ghana.

Purpose-The purpose of this paper is to reexamine the weak form efficiency of five African stock markets (South Africa, Nigeria, Egypt, Ghana and Mauritius) using various tests to assess the impact of non-linearity effect and thin trading which are prevalent in African markets on market efficiency. Design/methodology/approach-The weekly returns of S&P/IFC return indices for five African countries over the period 2000-2013 were obtained from DataStream and analyzed. The study adopted the newly developed Non-Linear Fourier unit root test advanced by Enders and Lee (2004, 2009) which allows for an unknown number of structural breaks with unknown functional forms and non-linearity in data generating process of stock prices series to test the Random Walk Hypothesis (RWH) for the five markets, and an augment regression model. Findings-In light of the empirical evidence the author(s) using Non-linear Fourier Unit Root Test only fail to reject the RWH for South Africa, Nigeria and Egypt leading to the conclusion that these markets follow the RWH and weak-form efficient whilst Ghana and Mauritius are weak-form inefficient. Besides, evaluating non-linear models without adjusting for thin trading effect shows that, South Africa and Ghana markets are weak-form efficient while Nigeria, Egypt and Mauritius are not. However, after accounting for thin trading effect, the author(s) find that South Africa and Egypt markets follow the RWH. The findings imply that market efficiency results depend on the methodology used. Originality/value-This paper provides further evidence on stock market efficiency in emerging markets. The finding suggests that thin trading and non-linearity effect influences markets efficiency tests in African stock markets. Thus, recent structural adjustment and liberalization policies have not enhanced stock market operations in Africa. This paper therefore has implications for policy makers and international investors.

This paper investigates income diversification in credit unions in Ghana. We make use of the random effect, Hausman–Taylor, and fractional regression to assess income diversification. We find empirical support that there exist differences between workplace credit union income diversification and other types of credit union. We also find that within nonfinancial income, size, liquidity, loan portfolio, net worth, and economic growth are important. For within liquid financial investment diversification, size, liquidity, resource usage, age, net interest margin, bank concentration, inflation, and economic growth matter. We recommend that with excess reserves, credit unions should pursue liquid financial investment.

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