小額信貸機(jī)構(gòu)貸款定價(jià)研究
[Abstract]:In recent years, small economy-individual industrial and commercial households, small business owners, micro-enterprises, small and medium-sized enterprises have become more and more important in the process of economic development in China, and have become a force that can not be ignored in the development of our national economy. But the financing woes of small economies are also evident, and this has become an important bottleneck in their further development. Since 2010, with more and more private capital flowing into the field of microfinance companies, the government has also issued policies to encourage the development of microfinance companies in China. The key to solving the financing problems of small economies lies in how microfinance companies determine reasonable loan pricing. At present, microfinance companies are generally based on the manager's experience and the management of the loan company itself from the main set of interest rates, which has a lot of subjectivity, lack of scientific and reasonable, pricing has a lot of problems. Because there is no suitable and feasible loan pricing model, some loan interest rates are as high as 30% in the market now, even because of the difficulty of lending to small loan companies, there are some usury, with interest rates reaching more than 100%. In this way, the "adverse selection" of loans is easy to occur, which is not conducive to the development of microfinance companies, and it also causes many small and medium-sized enterprises to have high loan costs, difficulties in financing, and poor prospects for development. In this context, microfinance pricing research has become very important and urgent. The most important part of pricing is to estimate the credit risk of customers accurately. Therefore, this paper starts with the evaluation of credit risk, constructs a microcredit credit risk assessment model, and classifies loans into different grades. Then, under certain assumptions, the default rate of each grade loan is obtained by using the relevant historical data to estimate the loss rate and then get the risk premium of different grades, so as to prepare for the final loan pricing and decision. Secondly, starting from the situation of each microfinance company, combining the principle of loan pricing and the influencing factors of loan pricing, through the discussion and analysis of the key variable benchmark interest rate and risk premium, In this paper, a modified loan pricing model, which is based on credit rating, is constructed. The model considers the loan cost and expense of the loan company, taking the risk premium as the core, and considering the target profit of the loan company. In this way, the loan interest rate consists of cost, target profit, risk premium, guarantee cost, cost compensation, target profit realization and risk quantification. Combined with the above two parts, microfinance institutions can accurately price customers' loans. Finally, using the model of this paper, by looking up some information, we estimate the upper limit of the interest rate of small loans, which provides some reference for the government financial supervision agencies, and also provides some reference for the government supervision agencies. Microfinance companies and loan clients put forward some suggestions
【學(xué)位授予單位】:華東交通大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2013
【分類號(hào)】:F832.4
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 魯愛民;林靜姍;吳茜;;小額貸款公司的利率定價(jià)問題研究[J];北方經(jīng)濟(jì);2010年17期
2 高瑩;鄒懌;葛汝剛;;我國商業(yè)銀行貸款定價(jià)問題的探討[J];商業(yè)研究;2006年19期
3 王桂林;;小額貸款公司的現(xiàn)狀及發(fā)展方向[J];中國城市經(jīng)濟(jì);2010年05期
4 趙建國;苗莉;;基于Probit模型的遼寧省大學(xué)生就業(yè)難易度分析[J];財(cái)經(jīng)問題研究;2010年11期
5 毛成龍;程典;許光宇;;運(yùn)用區(qū)間層次分析法進(jìn)行財(cái)務(wù)報(bào)表綜合評(píng)價(jià)[J];財(cái)會(huì)月刊;2011年17期
6 畢明強(qiáng);基于貢獻(xiàn)度分析和客戶關(guān)系的商業(yè)銀行貸款定價(jià)方法研究[J];金融論壇;2004年07期
7 關(guān)大宇;;我國商業(yè)銀行貸款定價(jià)的最優(yōu)化模型設(shè)計(jì)[J];金融論壇;2006年03期
8 趙家敏;黃英婷;;我國商業(yè)銀行中小企業(yè)信用評(píng)級(jí)模型研究[J];金融論壇;2006年04期
9 孔憲明,趙文才;AHP的一致性問題[J];淮北煤師院學(xué)報(bào)(自然科學(xué)版);2000年03期
10 莊新田,黃小原;基于信息不對(duì)稱的銀行貸款定價(jià)策略分析[J];系統(tǒng)工程;2002年03期
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