Financial Institutions and Services: Government Policy and Regulation
Financial globalisation and financial innovation have increased most banks’ appetite for risk and therefore engendered financial fragility in the financial system. This paper examines the relationship between regulatory bank capital adequacy and the business cycle in South Africa using Vector error correction model (VECM). This paper employed quarterly data from South Africa Reserve Bank (SARB) for the period 1990 to 2013.
The study was meant to evaluate the cost and revenue efficiency of the Zimbabwean banking sector during the period 2009-2014. The study employed the Data Envelopment Analysis and the Tobit Regression methods. The estimation of cost and revenue efficiency shows that revenue and cost efficiency increased during the period 2009-2012. This coincided with high positive growth rates and economic stability. Efficiency declined in 2013-14 as a result of government controls on banking sector pricing and general decline in economic activity.
The study empirically establishes the causal relationship between financial innovation and economic growth in SADC. Using an Autoregressive Distributed Lag (ARDL) Model, estimated by Pooled Mean Group and Dynamic Fixed Effects, the study finds that financial innovation has a positive relationship to economic growth in long run for SADC. The long run estimations, however, show existence of a weak relationship. Introducing a direct measure of financial innovation buttresses the role of financial innovation in growth in SADC.
Since the 2007 sub-prime financial crisis, world bank capital ratios have increased. In this paper, we investigate the impact of increased bank capital requirements introduced under the Basel Accord framework on the costs of intermediation. We attempt to answer this central question by running panel regressions using 2001 – 2012 annual bank-level data for ten banks constituting inter alia the four largest South African banks. We conclude that high capital requirements are associated with increased costs of intermediation.
Commodity terms of trade shocks have continued to drive macroeconomic uctuations in most emerging market economies. The volatility and persistence of these shocks have posed great challenges for monetary policy. This study employs a New Keynesian Dynamic Stochastic General Equilibrium (DSGE) model to evaluate the optimal monetary policy responses to commodity terms of trade shocks in commodity dependent emerging market economies. The model is calibrated to the South African economy.