What Drives Interest Rate Spreads in Uganda's Banking Sector?

2012 ◽  
Author(s):  
Dorothy Nampewo
Author(s):  
Radha Upadhyaya ◽  
Edoardo Totolo

This chapter traces the evolution of the financial sector in Kenya over the last 10 years. While the rise of Equity Bank and M-Pesa—a mobile money, transfer, financing, and microfinancing service—has led to Kenya being viewed as a champion in the financial inclusion agenda, we show that the story of financial reform has been complex and at times contradictory. In the 1980s and 1990s, liberalization did not lead to the fruits expected in terms of savings and investment. More recent increases in both financial depth and financial inclusion have not led to a reduction in interest rate spreads or increased credit to key sectors of the economy. This chapter shows that debates concerning the best model of regulation of the financial sector and the key methods for regulating interest rate spreads are ongoing. The chapter also discusses the role of the banking sector in election financing, and argues that the patterns of wealth accumulation are more useful than level of liberalization of the banking in explaining the likelihood of opposition parties getting higher levels of finance for elections.


2016 ◽  
Vol 9 (5) ◽  
pp. 23
Author(s):  
Ebrahim Merza ◽  
Sayed-Abbas Almusawi

<p>This paper aims at finding the effective factors that influence three sectors in Kuwait stock exchange market (KSE) in addition to the whole stock market. The three sectors are banking, real estate and insurance sectors. The paper measures KSE performance through the average share prices calculated on a quarterly basis starting from 2005 until first quarter of 2015. It is found that each sector behaves differently towards macroeconomic variables. The most important determinants for the KSE overall market performance were found to be gold price and the deposits rate. Individually, the banking sector is influenced by consumer price index, interest rate on loans, oil price and gold price. The insurance sector is influenced by money supply, residential real estate price and oil price. The real estate sector is influenced by the exchange rate with respect to US dollars, interest rate on loans, oil price and gold price.</p>


2017 ◽  
Vol 8 (1) ◽  
pp. 76-88 ◽  
Author(s):  
Samuel Kwabena Obeng ◽  
Daniel Sakyi

Purpose The purpose of this paper is to examine macroeconomic determinants of interest rate spreads in Ghana for the period 1980-2013. Design/methodology/approach The autoregressive distributed lag bounds test approach to cointegration and the error correction model were used for the estimation. Findings The results indicate that exchange rate volatility, fiscal deficit, economic growth, and public sector borrowing from commercial banks, increase interest rate spreads in Ghana in both the long and short run. Institutional quality reduces interest rate spreads in the long run while lending interest rate volatility and monetary policy rate reduce interest rate spreads in the short run. Research limitations/implications The depreciation of the Ghana cedi must be controlled since its volatility increases spreads. There is a need for fiscal discipline since fiscal deficits increase interest rate spreads. Government must reduce its domestic borrowing because the associated crowding-out effect increases interest rate spreads. The central bank must improve its monitoring and regulation of the financial sector in order to reduce spreads. Originality/value The main novelty of the paper (compared to other studies on Ghana) lies on the one hand; analysing macroeconomic determinants of interest rate spreads and, on the other hand, controlling for the impact of institutional quality on interest rate spreads in Ghana.


2018 ◽  
Vol 21 (2) ◽  
pp. 81-98
Author(s):  
Mehmed Ganić

This paper provides an empirical analysis of factors affecting Bank Interest Margins in eight countries of the South‑East European (SEE) region between 2000 and 2014. The purpose of this paper is to examine and investigate the main drivers of Bank Interest Rate Margins across selected countries throughout the SEE region. Also, the study explored the relationship between the dependent variable Interest Rate Spread (IRS – as a proxy variable for measuring variation in Bank Interest Rate Margins) and a set of selected banks’ specific variables in SEE by employing panel data estimation methodology. This research is based on aggregate data for the whole banking sector of each country. In line with some expectations, our findings confirm the importance of credit risk, bank concentration operative efficiency, and inflation expectations in determining Bank Interest Rate Margins. Interestingly, in contrast to the majority of recent empirical research, the study found an inverse relationship between the bank concentration variable and Bank Interest Rate Margins as well as between the operational efficiency variable and Bank Interest Rate Margins. Also, the study could not find statistically significant evidence that Bank Interest Rate Margins are determined by output growth, bank profitability (measured by ROA) or liquidity risk.


2000 ◽  
Vol 10 (2) ◽  
pp. 155-161 ◽  
Author(s):  
Bernardino Adao ◽  
Jorge Barros Luis

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