资本结构和信用评级之间的关系:巴基斯坦银行业的研究
[Abstract]:Credit rating and capital structure have been a matter of concern in recent decades. Credit rating is a very sensitive topic not only for companies but also for countries. Rating agencies assess specific information that helps investors make choices in different securities. Especially in the choice of debt securities. Companies are bewildered about their capital structure and wonder what proportion of shares or bonds they should raise. There is no general theory about the choice of debt equity, and there is no reason to expect it. The main purpose of this study is to explore the two-way impact of debt on credit rating in capital structure, and to analyze how credit rating is superior through various factors, such as capital strength, profitability, liquidity, cost management, etc. The quality and size of Pakistan's banking assets to optimize credit structures. In this model, credit rating is regarded as dependent variable and capital structure is independent variable. We collected samples of 20 Pakistani banks from 2006 to 2010. Granger causality will be applied to the analysis of unilateral and multilateral relationships between credit rating and capital structure. Regression analysis is applied to study the determinants of credit rating and capital structure. From credit rating to capital structure, one-way causality can be obtained directly. The six specific bank variables are capital strength, profitability, liquidity, cost management, asset quality and company size, all of which are determinants of credit ratings. According to the results of the study, other than asset quality, other factors are very important. The five exogenous variables include total working capital, retained earnings, total income and total assets before tax, market value of shareholders' equity and book value of total liabilities and enterprise scale, and further analysis of its influence on capital structure. With the exception of total working capital, these variables are considered significant.
【学位授予单位】:华中科技大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:F833.53
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