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Specialization and other determinants of non-commercial
bank financial institutions’ profitability Empirical evidence from Malaysia
Authors: Fadzlan Sufian, Suarddy Parman.
Prepared by:
Boughezala Hamad Hocine 802042 & Akhmedov Davran 803837
Prepared for:
Prof. Shahriza Bt Osman
Journal: Studies in Economics and Finance Vol. 26 No.2, 2009
pp. 113-128
Data and methodologyData and methodology
ContentsContents
IntroductionIntroduction
Overview of the Malaysia financial systemOverview of the Malaysia financial system
11
22
33
44
55
ResultsResults
Empirical Finding Empirical Finding
66 ConclusionConclusion
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Purpose of the study: to provide empirical evidence on the factors that influence non-commercial bank financial institutions (NCBFIs) profitability in a
developing economy, and attempt to investigate the performance of financial institutions in Malaysia are
relatively scarce .
Keywords: banks, financial institution, profit, Malaysia
IntroductionIntroduction
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Banking system(the largest component,
accounting for approximately 70% of
total assets of financial system)
Non-bank financial
intermediaries
Malaysian financial system
Overview of the Malaysian financial systemOverview of the Malaysian financial system
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Banking systemBanking system
Commercial bank
Finance
companies
Merchant
banks
They are the largest and most significant
providers of funds in the banking system;
The second largest group of deposit taking institutions in Malaysia;
The third largest , it’s merged in Malaysia banking scene in 1970.
Commercial banks
Finance
companies Merchant
banks
The banking system can be divided into three main groups
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Commercial banks Commercial banks
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Finance companiesFinance companies
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Merchant banksMerchant banks
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Assets of the Banking system: 1960-2004Assets of the Banking system: 1960-2004
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M.B
F.C
C.B
RM 42,691 million (0.17% of GDP)
RM 68421.1 million (0.27% of GDP)
RM 761,254.8 million(3.05% of GDP)
F.C+ M.B = 22,8% of the banking system
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Assets of the Banking system: 2004.
Data and methodologyData and methodology
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Econometric specificationEconometric specificationRelationship between NCBFI profitability and the NCBFIs specific and macroeconomic determinants. Linear regression model:
where P jt is the profitability of NCBFI j at time t; b1, b2, and b3 represent the coefficients of the explanatory variables to be estimated (grouped into NCBFI-specific, macroeconomic determinants, and specialization, respectively), and 1jt is the disturbance term, with vj capturing the unobserved NBCFI-specific effect and u jt is the idiosyncratic error.
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Summary of parametric and non-parametric tests on equality of means and equality of population
Summary of parametric and non-parametric tests on equality of means and equality of population
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VariablesVariables
• ROA= return of total assets • LOANS/TA= total loans divided by total assets• LNTA = log of total assets• NII/TA= non-interest income divided by total assets• NIE/TA = total overhead expenses divided by total
assets• EQASS = and book value of stockholders’ equity as
a fraction of total assets
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ResultsResults• The model performs reasonably well in at least two respects:
1. Results for most variables remain stable across the various regressions tested;
2. The R²s are reasonably high ranging from 86 to 89%. In most cases the explanatory variables have the expected signs.
• LOANS/TA reveals negative relationship with Malaysian NCBFIs profitability although is not statistically significant at any conventional levels.
• LNTA exhibits (+)ve coefficient and is statistically significant at the 5% level implying that the larger NCBFIs tend to be more profitable.
• LLP/TL shows a (-)ve relationship with bank profitability and is statistically significant at the 1% level, indicating that NCBFIs with higher proportion of riskier loans tend to exhibit lower profitability levels.
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Empirical findingsEmpirical findings
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Empirical findingsEmpirical findings
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Conclusion Conclusion
• Malaysian financial sector depends on its efficiency, profitability, and competitiveness. Further, in view of the increasing competition resulting from the more liberalized banking sector
The findings of this study could have provided useful insights to the policymakers, industry leaders, as well as bank managers with regard to attaining optimal utilization of capacities, improvement in managerial expertise, efficient allocation of scarce resources, and most productive scale of operation of the Malaysian NCBFIs industry.
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For your attention