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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 />

<strong>in</strong> relation to risk weighted assets and <strong>of</strong>f balance sheet exposure stood at 22%. The report fur<strong>the</strong>r<br />

revealed that, five largest banks command 59% <strong>of</strong> <strong>the</strong> total bank<strong>in</strong>g capital and 67% <strong>of</strong> total loan portfolio<br />

for <strong>the</strong> bank<strong>in</strong>g sector as well as 65% <strong>of</strong> <strong>the</strong> deposits.<br />

Theoretical Literature<br />

Theory <strong>of</strong> Bank<strong>in</strong>g.<br />

Freixas and Rochet (1997) def<strong>in</strong>ed a bank<strong>in</strong>g firm as an <strong>in</strong>stitution whose current operations consist <strong>in</strong><br />

grant<strong>in</strong>g loans and receiv<strong>in</strong>g deposits from <strong>the</strong> public. The underp<strong>in</strong>n<strong>in</strong>g <strong>the</strong>ory <strong>of</strong> bank<strong>in</strong>g firms<br />

emphasizes <strong>the</strong> fact that <strong>the</strong> bank<strong>in</strong>g firms are special <strong>in</strong>stitutions which reacts to its regulatory<br />

environment to optimally allocate its assets. The provision <strong>of</strong> deposit and loan products normally<br />

dist<strong>in</strong>guishes banks from o<strong>the</strong>r types <strong>of</strong> f<strong>in</strong>ancial firms (Heffernan, 2006). Contemporary bank<strong>in</strong>g <strong>the</strong>ory<br />

classifies bank<strong>in</strong>g functions <strong>in</strong>to four ma<strong>in</strong> categories namely liquidity and payment services,<br />

Transform<strong>in</strong>g assets, Manag<strong>in</strong>g risks and Process<strong>in</strong>g <strong>in</strong>formation and Monitor<strong>in</strong>g borrowers.<br />

Historically, bank<strong>in</strong>g firms are highly regulated and supervised firms (Saunders, 1994). This is due to<br />

<strong>the</strong>ir ability channel monetary policies and thus to protect <strong>the</strong> safety and soundness <strong>of</strong> <strong>the</strong> economic<br />

system (Gardner & Mills, 1988). The bank<strong>in</strong>g sector is probably <strong>the</strong> most regulated sector (Baer &<br />

McElravey, 1993).<br />

Banks have a fundamental <strong>in</strong>fluence on capital allocation, risk shar<strong>in</strong>g and economic growth (Freixas &<br />

Rochet, 1997). This is due to <strong>the</strong> fact money as scarce resources are demanded by various economic units.<br />

There is evidence that <strong>the</strong> portfolio behavior <strong>of</strong> <strong>the</strong> banks is shaped by <strong>the</strong> regulatory activities ra<strong>the</strong>r than<br />

<strong>the</strong> general equilibrium which is chosen by <strong>the</strong> banks <strong>in</strong> response to <strong>the</strong> asymmetric <strong>in</strong>formation problems<br />

(Calomiris & Wilson, 2004). The ma<strong>in</strong> focus <strong>of</strong> <strong>the</strong> study is on two functions <strong>of</strong> bank<strong>in</strong>g firm which are<br />

transformation <strong>of</strong> assets and risk management.<br />

Commercial Bank<strong>in</strong>g Portfolio Selection.<br />

Modern f<strong>in</strong>ancial <strong>the</strong>ory holds that <strong>the</strong> assets and liabilities can be viewed as compris<strong>in</strong>g some<br />

components <strong>of</strong> portfolio, which can be optimized. Early study on portfolio maximization was pioneered<br />

by Markowitz (1959) whereby <strong>the</strong> <strong>in</strong>itial model was based on <strong>the</strong> maximization <strong>of</strong> portfolio returns for<br />

one period measured by <strong>the</strong> variance and standard deviation. Fur<strong>the</strong>r improvement <strong>of</strong> <strong>the</strong> portfolio <strong>the</strong>ory<br />

was done by Kle<strong>in</strong> (1971) who <strong>in</strong>troduces <strong>the</strong> issue <strong>of</strong> multiple periods <strong>in</strong> <strong>the</strong> model<strong>in</strong>g as well as o<strong>the</strong>r<br />

variable.<br />

The usual analysis <strong>of</strong> portfolio behavior considers <strong>the</strong> problem <strong>of</strong> allocation <strong>of</strong> asset levels <strong>of</strong> bank<strong>in</strong>g<br />

<strong>in</strong>stitution given a certa<strong>in</strong> portfolio size (Park<strong>in</strong>, 1970). Bank portfolio behavior has been def<strong>in</strong>ed as a<br />

process <strong>of</strong> allocat<strong>in</strong>g a given amount <strong>of</strong> wealth (def<strong>in</strong>ed as capital plus total deposits, between nonearn<strong>in</strong>g<br />

assets (required and excess reserves) and earn<strong>in</strong>g assets (loans and o<strong>the</strong>r <strong>in</strong>vestments) (Andersen &<br />

Burger, 1969).<br />

Consider<strong>in</strong>g <strong>the</strong> structure <strong>of</strong> assets <strong>in</strong> <strong>the</strong> balance sheet <strong>of</strong> a commercial bank, <strong>in</strong> period t , total assets<br />

( TA t ), are <strong>the</strong> sum <strong>of</strong> Cash ( t C ), required reserves ( RR t ), loans ( L t ), <strong>in</strong>vestment <strong>in</strong> Government<br />

securities ( t GS ), and o<strong>the</strong>r assets ( OA t ). The relationship can be summarized as:<br />

(1) TAt = Ct + RRt + GSt + Lt + OAt<br />

The percentage <strong>of</strong> a bank’s deposits <strong>in</strong>vested <strong>in</strong> different assets is <strong>in</strong>variant with respect to time path <strong>of</strong><br />

deposits. With<strong>in</strong> a given period portfolio adjustments can be taken <strong>in</strong>to consideration <strong>the</strong> impact <strong>of</strong><br />

deposits. Diversified bank portfolio can be optimal <strong>in</strong> absence <strong>of</strong> uncerta<strong>in</strong>ty if not all assets have<br />

secondary markets. In develop<strong>in</strong>g countries case like Tanzania this is likely to happen due to <strong>the</strong> absence<br />

<strong>of</strong> secondary market due to <strong>the</strong> lack <strong>of</strong> derivatives markets. In this case <strong>the</strong>re is no <strong>in</strong>centive and<br />

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