Cross-Market Trading in China’s Large State-Owned Commercial Banks

2010 ◽  
Author(s):  
Richard C. K. Burdekin ◽  
Yang Yang
Keyword(s):  
Commercial Banks ◽  
Large State

CROSS-MARKET TRADING IN CHINA'S LARGE STATE-OWNED COMMERCIAL BANKS, 2006-2011

2012 ◽  
Vol 31 (2) ◽  
pp. 366-377 ◽  
Author(s):  
RICHARD C. K. BURDEKIN ◽  
YANG AMANDA YANG
Keyword(s):  
Commercial Banks ◽  
Large State

scholarly journals Research on the Influence of Interest Rate Liberalization on Commercial Banks’ Profitability in China

2021 ◽  
Vol 4 (5) ◽  
pp. 78-83
Author(s):  
Lina Wang ◽  
Hengyuan Zhao ◽  
Ruoxi Li
Keyword(s):  
Panel Data ◽  
Interest Rate ◽  
Empirical Analysis ◽  
Commercial Banks ◽  
Inflection Point ◽  
Early Stage ◽  
Interest Rate Liberalization ◽  
Large State ◽  
The Impact

In order to explore the influence of interest rate liberalization on profitability, an empirical analysis is carried out with the panel data of commercial banks in China from 2009 to 2019. Then, the heterogeneity of the impact is studied among different banks. The results show that, first, interest rate liberalization and commercial banks’ profitability have an inverted U-shaped relationship, whereby interest rate liberalization would increase the profitability of banks in the early stage but would reduce the profitability after reaching a peak inflection point at the later stage. Secondly, the impact varies among different banks, being more significant in urban commercial banks and large state-owned banks.

Role of Commercial Banks in Financial Literacy

PRODUCTIVITY ◽  
2018 ◽  
Vol 59 (2) ◽  
pp. 186-197
Author(s):  
M. SELVAKUMAR ◽  
◽  
P. ANBUCHEZHIENKAMARAJ ◽  
V. Sathyalakshmi ◽  
R. Mohammed Abubakkar Siddique ◽  
...  
Keyword(s):  
Financial Literacy ◽  
Commercial Banks

Regional banking system in Russia: Trends and factors of spatial distribution

2017 ◽  
pp. 123-141 ◽  
Author(s):  
S. Ageeva ◽  
A. Mishura
Keyword(s):  
Spatial Distribution ◽  
Commercial Banks ◽  
Banking System ◽  
Federal District ◽  
Russian Regions ◽  
Siberian Federal District ◽  
Federal Districts ◽  
Banking Business ◽  
Banking Institutions

We examine the spatial distribution of banks in Russian regions to identify the factors that affect changing territorial architecture of the banking system. The object of the study is dynamics of the number of commercial banks and their branches in 1991-2016. Besides the well-known tendency of concentration of the banking business in Moscow and reducing the number of banks in other regions we analyzed situation in the federal districts taking as an example the Siberian Federal District. This approach allowed us to formulate hypotheses about the causes of differences in the availability of banking institutions in Russian regions.

Income Diversification and Bank Efficiency in Vietnam

2017 ◽  
pp. 52-67
Author(s):  
Sang Nguyen Minh
Keyword(s):  
Regression Model ◽  
Commercial Banks ◽  
Banking System ◽  
Operational Efficiency ◽  
Commercial Banking ◽  
Tobit Regression ◽  
Income Diversification ◽  
Positive Effects ◽  
Study Results ◽  
The Impact

This study uses the DEA (Data Envelopment Analysis) method to estimate the technical efficiency index of 34 Vietnamese commercial banks in the period 2007-2015, and then it analyzes the impact of income diversification on the operational efficiency of Vietnamese commercial banks through a censored regression model - the Tobit regression model. Research results indicate that income diversification has positive effects on the operational efficiency of Vietnamese commercial banks in the research period. Based on study results, in this research some recommendations forpolicy are given to enhance the operational efficiency of Vietnam’s commercial banking system.

Applying the Multi-Criteria Decision Making Model for Ranking Commercial Banks: The Case of Vietnam

2019 ◽  
pp. 125-133
Author(s):  
Duong Truong Thi Thuy ◽  
Anh Pham Thi Hoang
Keyword(s):  
Decision Making ◽  
Commercial Banks ◽  
Decision Model ◽  
Business Models ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Decision Making Model

Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam.

A Study On Performance Indicators Of Commercial Banks

2011 ◽  
Vol 1 (5) ◽  
pp. 31-33
Author(s):  
Dr. G. Ganesan Dr. G. Ganesan ◽  
◽  
P. Parthasarathy P. Parthasarathy
Keyword(s):  
Performance Indicators ◽  
Commercial Banks
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