文化大學機構典藏 CCUR:Item 987654321/30304
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 47249/51115 (92%)
造访人次 : 14129541      在线人数 : 505
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻
    主页登入上传说明关于CCUR管理 到手机版


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://irlib.pccu.edu.tw/handle/987654321/30304


    题名: 越南本國商業銀行獲利性決定因素之研究
    Determinants of Domestic Commercial Bank Profitability in Vietnam
    作者: 鄧氏燕
    Yen, Dang Thi
    贡献者: 財務金融學系
    关键词: Profitability
    Commercial banks
    Vietnam
    determinants
    Pooled Least Square estimate
    日期: 2015-06
    上传时间: 2015-08-19 14:25:29 (UTC+8)
    摘要: This study aims to examine the determinants of profitability for domestic commercial banks in Vietnam over the period 2007- 2012. This study is interesting in the sense that, although abundance of literature has investigated into the factors that affect the banking industry for many countries including Vietnam, a specific case of the Vietnamese domestic commercial bank has not been found so far.
    In this study, two profitability indicators, returns on total asset (ROA) and return on total equity (ROE), are treated as dependent variables. Meanwhile, fifteen independent variables are divided into two groups: bank-specific variables which include capital structure (CS), funding structure (FS), credit risk (CR), liquidity risk (LR), funding cost (FC), business model (BM), operation efficiency (OE) , bank’s growth (GR); industry-specific factors which include ownership (OWN), IPO, age of the bank, and market concentration (CON) and macroeconomic variables which include real gross domestic product (GDP) growth, inflation (RIF) and effective coporate income tax rate (TAX). The panel data are collected annually from official websites of twenty-four local commercial banks, covering the period from 2007 to 2012. The pooled ordinary least squares (POLS) method is utilized to estimate two models with ROA (Model 1) and ROE (Model 2) as dependent variables and all independent variables as are aforementioned.
    The empirical results from Model 1 show that, in contrast to the findings of Dietrich & Wanzenried (2011), capital structure has positive effects on ROA. This profitability indicator also moves in the same direction with GDP growth consistent with the findings of Rachdi (2013). Nevertheless, credit risk, business model, operation efficiency, market concentration and inflation rate have negative effects on bank’s profitability. No association is found between profitability and funding structure, liquidity risk, funding cost, bank’s growth, ownership, age, and tax. In the Model 2 with ROE as the dependent variable, in contrast to Model 1, ROE is negatively correlated with capital structure while positively correlated with bank’s growth. CR, BM, and OE show the same impact to ROE like they do impact to ROA. However, RIF have no longer effect on profitability anymore. Instead of that, bank growth measure by growth of loan moves in the same direction with ROE meanwhile it have no relationship with ROA.
    显示于类别:[財務金融學系 ] 博碩士論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML282检视/开启


    在CCUR中所有的数据项都受到原著作权保护.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈