2017年信贷风险外文翻译—信贷风险管理策略及其对肯尼亚商业银行绩效的影响（节选）

《2017年信贷风险外文翻译—信贷风险管理策略及其对肯尼亚商业银行绩效的影响（节选）》由会员分享，可在线阅读，更多相关《2017年信贷风险外文翻译—信贷风险管理策略及其对肯尼亚商业银行绩效的影响（节选）（15页珍藏版）》请在毕设资料网上搜索。

1、字数：英文 2891 单词， 15678 字符；中文 4915 汉字 出处： Mutua S W, Gekara M. Credit Risk Management Strategies and Their Impact on Performance of Commercial Banks in KenyaJ. Imperial Journal of Interdisciplinary Research, 2017, 3(4):1896-1904 外文文献： Credit Risk Management Strategies and Their Impact on Performance of

2、 Commercial Banks in Kenya Abstract Credit risk management strategies are amongst the most critical factors to consider for any financial institution involved in any lending activity. Financial institutions have often find themselves making decisions between lending to potential borrowers thus effec

3、tively growing their balance sheets and effectively increasing their returns and being cautious in lending to caution themselves against any potential losses. Specifically, the research sought to examine credit risk management strategies and their impact on performance of commercial banks in Kenya.

4、The research was guided by the liquidity theory of credit, portfolio theory, credit risk theory and the tax theory of credit. The research was based on a descriptive design which involves describing the current state of affairs by use of data collected through questionnaires and interviews. The rese

5、arch was focused on selected Tier III commercial banks in Kenya namely Consolidated Bank, African Banking Corporation and Credit Bank with reference to the loans department. The sampled population consists of 62 staff members from loans department of Consolidated Bank, African Banking Corporation an

6、d Credit Bank. Primary data was collected through the use of closed ended questionnaires, pick and drop procedure was used to collect data through use of the registered offices of the targeted loans departments of the target banks. Data analysis was done both quantitatively using tables and charts; this was then summarized, coded, tabulated and analyzed using both descriptive statistics and measures of variability with aid of SPSS package. Tables and graphs were used to present the data co