Retail Banking Loan Portfolio Equilibrium Mix: A Markov Chain Model Analysis

Realising that a systematic loan allocation technique would normally increases the expected income on interest, this maiden study shall attempt to devise loan allocation policy using a Markov Chain Market Share model.

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Main Author: Mohamed, Saiful Maznan
Format: Thesis
Published: 2002
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spelling my-mmu-ep.5782010-06-24T11:09:54Z Retail Banking Loan Portfolio Equilibrium Mix: A Markov Chain Model Analysis 2002-02 Mohamed, Saiful Maznan LB2361 Curriculum Realising that a systematic loan allocation technique would normally increases the expected income on interest, this maiden study shall attempt to devise loan allocation policy using a Markov Chain Market Share model. 2002-02 Thesis http://shdl.mmu.edu.my/578/ http://vlib.mmu.edu.my/diglib/login/dlusr/login.php masters Multimedia University Research Library
institution Multimedia University
collection MMU Institutional Repository
topic LB2361 Curriculum
spellingShingle LB2361 Curriculum
Mohamed, Saiful Maznan
Retail Banking Loan Portfolio Equilibrium Mix: A Markov Chain Model Analysis
description Realising that a systematic loan allocation technique would normally increases the expected income on interest, this maiden study shall attempt to devise loan allocation policy using a Markov Chain Market Share model.
format Thesis
qualification_level Master's degree
author Mohamed, Saiful Maznan
author_facet Mohamed, Saiful Maznan
author_sort Mohamed, Saiful Maznan
title Retail Banking Loan Portfolio Equilibrium Mix: A Markov Chain Model Analysis
title_short Retail Banking Loan Portfolio Equilibrium Mix: A Markov Chain Model Analysis
title_full Retail Banking Loan Portfolio Equilibrium Mix: A Markov Chain Model Analysis
title_fullStr Retail Banking Loan Portfolio Equilibrium Mix: A Markov Chain Model Analysis
title_full_unstemmed Retail Banking Loan Portfolio Equilibrium Mix: A Markov Chain Model Analysis
title_sort retail banking loan portfolio equilibrium mix: a markov chain model analysis
granting_institution Multimedia University
granting_department Research Library
publishDate 2002
_version_ 1747829166503362560