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Challenges in the Era of Globalization - iaabd

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Proceed<strong>in</strong>gs <strong>of</strong> <strong>the</strong> 12th Annual Conference © 2011 IAABD<br />

2010); <strong>the</strong> <strong>in</strong>efficient bank<strong>in</strong>g operat<strong>in</strong>g system (Claeys and Vander Vennent 2008); <strong>the</strong> bank regulation,<br />

concentration and <strong>in</strong>flation (Demirguc-Kunt et al 2004) and <strong>the</strong> monetary policy and macroeconomic<br />

shocks (Maudos and Fernandez de Guevara 2004). Employ<strong>in</strong>g micro-bank-specific and macro-countrylevel<br />

data from 24 SSA countries, this paper contributes to <strong>the</strong> literature by exam<strong>in</strong><strong>in</strong>g <strong>the</strong> determ<strong>in</strong>ants <strong>of</strong><br />

bank <strong>in</strong>terest spread <strong>in</strong> African banks focus<strong>in</strong>g on <strong>the</strong> stance <strong>of</strong> monetary policy and <strong>the</strong> degree <strong>of</strong> market<br />

power <strong>in</strong> <strong>the</strong> follow<strong>in</strong>g ways: first, as <strong>the</strong>re is no consensus <strong>in</strong> <strong>the</strong> literature regard<strong>in</strong>g how best to assess<br />

<strong>the</strong> degree <strong>of</strong> bank market power (Carbo et al,. 2009), three different specifications <strong>of</strong> <strong>the</strong> Lerner <strong>in</strong>dex<br />

are constructed: conventional Lerner, efficiency-adjusted Lerner, and fund<strong>in</strong>g-adjusted Lerner to<br />

<strong>in</strong>vestigate competitive environment <strong>of</strong> African banks. To <strong>the</strong> best <strong>of</strong> my knowledge <strong>the</strong>re is no study that<br />

has employed various specifications <strong>of</strong> <strong>the</strong> Lerner <strong>in</strong>dex <strong>in</strong> exam<strong>in</strong><strong>in</strong>g <strong>the</strong> causes <strong>of</strong> spread <strong>in</strong> SSA. The<br />

second <strong>in</strong>novation <strong>of</strong> this paper lies <strong>in</strong> identify<strong>in</strong>g <strong>the</strong> channel through which policies affect bank spread<br />

and resource allocations.<br />

The results suggest that on average conventional Lerner <strong>in</strong>dex is lower than that <strong>of</strong> fund<strong>in</strong>g and<br />

efficiency-adjusted Lerner <strong>in</strong>dices. These results imply that <strong>the</strong> former has been underestimat<strong>in</strong>g <strong>the</strong><br />

degree <strong>of</strong> market power <strong>in</strong> SSA. The results also suggest that <strong>the</strong> high net-<strong>in</strong>terest marg<strong>in</strong> <strong>in</strong> SSA is<br />

attributed to high credit risk, risk aversion, excessive implicit payments and <strong>the</strong> <strong>in</strong>creas<strong>in</strong>gly high cost <strong>of</strong><br />

labor. Fur<strong>the</strong>rmore, <strong>the</strong> results reveal that spreads among banks with market power is significantly more<br />

sensitive to <strong>the</strong> monetary policy stance.<br />

The paper has four rema<strong>in</strong><strong>in</strong>g sections. Section 2 reviews related literature on banks spread. Section 3<br />

provides <strong>the</strong> methodology <strong>in</strong>clud<strong>in</strong>g <strong>the</strong> measurements <strong>of</strong> <strong>the</strong> key variables. Empirical results are<br />

presented <strong>in</strong> section 4 and section 5 concludes.<br />

Literature review<br />

The <strong>the</strong>oretical pr<strong>in</strong>ciples expla<strong>in</strong><strong>in</strong>g spread <strong>of</strong> banks can be described ei<strong>the</strong>r <strong>in</strong> terms <strong>of</strong> ‘monopoly’,<br />

‘dealership’ or ‘behavioral model’. The monopoly model developed by <strong>the</strong> sem<strong>in</strong>al work <strong>of</strong> Kle<strong>in</strong> (1971)<br />

considers <strong>the</strong> bank<strong>in</strong>g firm’s ma<strong>in</strong> activity as <strong>the</strong> production <strong>of</strong> deposit and loans <strong>in</strong> <strong>the</strong> <strong>in</strong>termediation<br />

services that is represented by a cost function <strong>of</strong> <strong>the</strong> C ( D , L ) type. Where D is <strong>the</strong> volume <strong>of</strong> deposits<br />

while L is <strong>the</strong> volume <strong>of</strong> <strong>the</strong> loans produced by <strong>the</strong> bank. The rule <strong>in</strong> l<strong>in</strong>e with <strong>the</strong> cost function is that a<br />

bank<strong>in</strong>g firm pursues its activities <strong>in</strong> an environment characterized by <strong>the</strong> presence <strong>of</strong> imperfect<br />

competition <strong>in</strong> both deposit and credit markets. That is, <strong>the</strong> bank has <strong>the</strong> monopolistic power to set<br />

<strong>in</strong>terest rates <strong>in</strong> at least one <strong>of</strong> <strong>the</strong> markets where it conducts its operations. Kle<strong>in</strong> (1971) contends that <strong>the</strong><br />

monopoly power <strong>of</strong> a bank can <strong>the</strong>n be used to expla<strong>in</strong> <strong>the</strong> scale <strong>of</strong> operations, its asset and liability<br />

structure as well as its decision to affect <strong>the</strong> rate <strong>of</strong> return on liability (deposits) and asset (loan)<br />

components. Thus, with this approach, bank<strong>in</strong>g firm spread reflects primarily its ability to charge a price<br />

higher than <strong>the</strong> marg<strong>in</strong>al cost for provid<strong>in</strong>g <strong>the</strong> services <strong>in</strong> both loan and deposit markets. The second<br />

model <strong>in</strong> expla<strong>in</strong><strong>in</strong>g bank spread is dealership. The dealership model <strong>in</strong>troduced by Ho and Saunders<br />

(1981) views <strong>the</strong> bank as a dynamic dealer, sett<strong>in</strong>g <strong>in</strong>terest rates on loans and deposits to balance <strong>the</strong><br />

asymmetric arrival <strong>of</strong> loan demand and deposit supplies. The Non-synchronous arrival <strong>of</strong> loan and deposit<br />

generates a cost for <strong>the</strong> bank given that it will have to hold ei<strong>the</strong>r a long or short position <strong>in</strong> <strong>the</strong> money<br />

market. The monopoly model and <strong>the</strong> dealership model <strong>of</strong> net <strong>in</strong>terest marg<strong>in</strong>s have two ma<strong>in</strong> limitations.<br />

Accord<strong>in</strong>g to Hanweck and Ryu (2005), monopoly and dealership models are s<strong>in</strong>gle-horizon, static<br />

models <strong>in</strong> which bank assets and liabilities are considered homogenous and accord<strong>in</strong>gly priced at<br />

prevail<strong>in</strong>g loan and deposit rates and on <strong>the</strong> basis <strong>of</strong> <strong>the</strong> reference rate. The second limitation <strong>of</strong> <strong>the</strong>se<br />

models is that <strong>the</strong> bank<strong>in</strong>g sector is treated as ei<strong>the</strong>r be<strong>in</strong>g homogenous or as hav<strong>in</strong>g heterogeneous traits<br />

that is based only on <strong>the</strong> assets’ size <strong>of</strong> banks. Conversely, banks with different products usually differ <strong>in</strong><br />

terms <strong>of</strong> <strong>the</strong>ir bus<strong>in</strong>ess models, pric<strong>in</strong>g power and more importantly <strong>the</strong> fund<strong>in</strong>g structure and exogenous<br />

shock. Hanweck and Ryu (2005) model <strong>of</strong> bank behavior <strong>in</strong> relation to net <strong>in</strong>terest marg<strong>in</strong>s assume that at<br />

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