Suchergebnisse

by Chan King-Yan, Chu Kin-Yan Jeannie, Hsu Mei-Ying. ; Thesis (M.B.A.)--Chinese University of Hong Kong, 2003. ; Includes bibliographical references (leaf 64). ; ABSTRACT --- p.ii ; TABLE OF CONTENTS --- p.iv ; LIST OF TABLES --- p.vi ; Chapter ; Chapter I. --- Project Overview --- p.1 ; Chapter II. --- Methodologies Applied --- p.3 ; Step 1 Exploratory Research --- p.3 ; Step 2 Interviews --- p.3 ; Chapter III. --- The importance of CRM in China banking industry --- p.5 ; Economic Globalization and China's Accession into WTO --- p.5 ; The Influence of Information Technology (IT) --- p.5 ; Changes in the Dynamics of Supply and Demand in the Financial Market --- p.5 ; Rapid Response to Market Demands and High Level of Customization --- p.6 ; Chapter IV. --- Current situation of CRM --- p.7 ; The Reasons for the Failure of CRM --- p.7 ; Treat Technology as the Primary Driver of Customer Strategy --- p.7 ; Lack of Executive Support --- p.7 ; Data Is Ignored --- p.8 ; Information system (IS) organization and business users cannot work together --- p.8 ; No Attention Is Paid to Skill Sets --- p.9 ; CRM in China --- p.9 ; CRM Industry Is in Chaos --- p.9 ; Resistance of CRM Implementation --- p.10 ; Willingness to Invest in CRM Training --- p.10 ; Chapter V. --- Business environment of China --- p.11 ; Politics --- p.12 ; Economics --- p.15 ; Demographic --- p.16 ; Technology --- p.20 ; Chapter VI. --- CRM implementation in Guangdong Development Bank in China --- p.22 ; Introduction of Guangdong Development Bank --- p.22 ; Strengths and Weaknesses --- p.22 ; Feasibility and Benefits of Executing CRM --- p.26 ; The Effect of External and Internal Factors on Strategy Formulation --- p.30 ; Strategy Translation and Implementation --- p.34 ; Stage 1 - Develop Prerequisite Arenas before Implementing CRM --- p.34 ; Stage 2: Establish CRM system --- p.41 ; Stage 3: Performance Indicators --- p.43 ; Chapter VII --- RECOMMENDATIONS --- p.45 ; Actions to Guarantee Long-term Success --- p.45 ; APPENDIX --- p.49 ; BIBLIOGRAPHY ...

As a result of the new regulatory prescripts for banks, known as the Basel II Capital Accord, there has been a heightened interest in the auditing process. Our paper considers this issue with a particular emphasis on the auditing of reserves, assets and capital in both a random and non-random framework. The analysis relies on the stochastic dynamic modeling of banking items such as loans, reserves, Treasuries, outstanding debts, bank capital and government subsidies. In this regard, one of the main novelties of our contribution is the establishment of optimal bank reserves and a rate of depository consumption that is of importance during an (random) audit of the reserve requirements. Here the specific choice of a power utility function is made in order to obtain an analytic solution in a Lévy process setting. Furthermore, we provide explicit formulas for the shareholder default and regulator closure rules, for the case of a Poisson-distributed random audit. A property of these rules is that they define the standard for minimum capital adequacy in an implicit way. In addition, we solve an optimal auditing time problem for the Basel II capital adequacy requirement by making use of Lévy process-based models. This result provides information about the optimal timing of an internal audit when the ambient value of the capital adequacy ratio is taken into account and the bank is able to choose the time at which the audit takes place. Finally, we discuss some of the economic issues arising from the analysis of the stochastic dynamic models of banking items and the optimization procedure related to the auditing process

Banking industry worldwide has been transformed due to globalization, financial liberalization, technological developments, government policies, deregulation of financial services, financial crises and increase in mergers and acquisitions since 1980. With these changes, there is a trend towards decrease in the number of banks and increase in banking concentration. Increase in banking concentration might affect competition conditions in banking industry. The decrease in the number of banks and the increase in banking concentration dominate the Turkish banking industry after the banking crises in 2000 and 2001. This paper examines the relationship between concentration and competition in Turkish banking industry. I measure the size of banking concentration by concentration ratios and Herfindahl-Hirschman index with the data of commercial deposit banks in Turkey from 2000 to 2012. Competition degree is measured by using Panzar Rosse model. The results of the study suggest that there is no permanent relation between banking concentration and competition in Turkish banks.