基于主成分與灰度關(guān)聯(lián)的短期融資券信用評(píng)價(jià)研究
[Abstract]:Because of its low cost, high yield has been favored by issuers and investors since the issuance of short-term financing bills, and the volume of issuance and trading volume has been increasing. However, with the expansion of market scale and the increase of issuing enterprises, how to prevent the possible credit risk of short-term financing bonds becomes a realistic problem. At present the ratings of most short-term financing bonds in China are very concentrated in the A-1 grade (the highest credit rating of short-term financing bonds) but the highest credit rating does not mean that the risk of short-term financing bonds is very low. On the contrary, the same credit rating can not distinguish the difference of credit risk between different targets, once the market expands, the consequences will be unthinkable. Short-term financing bills issued by Linuo Group and Shandong Weiqiao have also raised concerns about their ability to pay, such as the Fuxi scandal. In the US subprime crisis, Lehman Brothers declared bankruptcy, and the commercial paper market faced a sharp collapse. Therefore, the facts at home and abroad show that it is of great theoretical and practical significance to strengthen the research on the credit evaluation of short-term financing bills, to guide the reasonable flow of funds and to protect the legitimate rights and interests of investors. Based on the analysis of the characteristics of short-term financing bills and the previous studies, this paper analyzes the quality of enterprises, the general situation of raising funds, the financial quality, the solvency, the risk level and the development ability. The credit evaluation index system of short-term financing bond is constructed. Based on the principal component analysis (PCA) and gray correlation evaluation model, this paper evaluates the credit of 210 samples of short term financing bills selected in this paper. The principal component analysis (PCA) is used to achieve the dimensionality reduction index variable, and according to the contribution degree of each index, the weight of each comprehensive index needed in gray correlation analysis is calculated. Gray correlation is used to evaluate the credit of short-term financing bills to overcome the defects of the previous evaluation methods such as excessive requirements and subjective factors. According to the capital asset pricing theory, the statistical regression analysis is carried out to test the evaluation results. It is proved that the credit evaluation results of short-term financing securities obtained in this paper are in accordance with the theory and practice. Finally, using the evaluation conclusion of this paper, the credit status of the new short term financing bond sample is preliminarily judged, and then the credit evaluation model of the short term financing bond is constructed in this paper to make a further judgment. On the one hand, the application of the evaluation results is tested, and on the other hand, the credit evaluation model of short-term financing bonds constructed in this paper is tested again, and the results are satisfactory. Therefore, the credit evaluation model and the application of the evaluation results in this paper provide a simple and feasible method for investors and relevant stakeholders to evaluate the credit of short-term financing bills. For investors to make investment decisions and rating agencies to provide a certain reference.
【學(xué)位授予單位】:湖南大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2013
【分類號(hào)】:F832.51;F224
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