天堂国产午夜亚洲专区-少妇人妻综合久久蜜臀-国产成人户外露出视频在线-国产91传媒一区二区三区

當(dāng)前位置:主頁 > 管理論文 > 工商管理論文 >

我國商業(yè)銀行對制造業(yè)企業(yè)信用風(fēng)險評價的實證研究

發(fā)布時間:2018-02-02 14:44

  本文關(guān)鍵詞: 商業(yè)銀行 信用風(fēng)險 logistic模型 主成分分析 出處:《山東大學(xué)》2017年碩士論文 論文類型:學(xué)位論文


【摘要】:商業(yè)銀行,是我國金融體系中必不可少、十分重要的一個組成部分。全球金融經(jīng)濟危機以來,受到全球經(jīng)濟復(fù)蘇緩慢的影響,我國也放慢了經(jīng)濟發(fā)展速度。目前我國整體經(jīng)濟發(fā)展?fàn)顩r為實體經(jīng)濟總體呈現(xiàn)較為疲弱的狀態(tài),破產(chǎn)的中小型企業(yè)的數(shù)量也日益增加。另一方面,在各國經(jīng)濟發(fā)展聯(lián)系愈加緊密的經(jīng)濟全球化的大背景下,我國金融市場和各個國家的金融市場之間相互融合,聯(lián)系也愈加緊密。金融市場不斷推出各類金融創(chuàng)新產(chǎn)品,金融機構(gòu)的混業(yè)經(jīng)營模式已經(jīng)慢慢開始形成。"十三五"以來,我國繼續(xù)強調(diào),深化全面的金融體制改革將作為下一步經(jīng)濟改革的重點。因此,我國的商業(yè)銀行所要面對的競爭與挑戰(zhàn)也在日益加大。所以,商業(yè)銀行要增強自身抵抗防御各類風(fēng)險的能力。目前,商業(yè)銀行面臨的威脅主要有操作風(fēng)險、利率風(fēng)險、市場風(fēng)險、信用風(fēng)險、市場風(fēng)險、流動性風(fēng)險等。其中,信用風(fēng)險對商業(yè)銀行的健康可持續(xù)發(fā)展有著巨大的影響作用。信用風(fēng)險的傳統(tǒng)含義是指債務(wù)人由于沒有能力或者自身無意愿向銀行還款,造成違約而對銀行所造成的資產(chǎn)損失。更廣泛的信用風(fēng)險,即現(xiàn)代意義上的含義,是指商業(yè)銀行因為借款人或市場交易對手發(fā)生違約行為從而導(dǎo)致自身損失的可能性;也就是說,現(xiàn)在的信用風(fēng)險即包含了傳統(tǒng)含義,還包含由于借款人的信用評級發(fā)生變化和履約能力產(chǎn)生變動而導(dǎo)致其債務(wù)的市場價值變動,從而引起商業(yè)銀行產(chǎn)生損失的可能性。一直以來,我國制造業(yè)大國。近年來,我國的GDP增長速度較之前的增長速度放緩,經(jīng)濟高速增長的狀況轉(zhuǎn)變?yōu)楝F(xiàn)在的中高速增長。與此同時,我國的制作業(yè)由于受到不論是來自內(nèi)部經(jīng)濟宏觀環(huán)境因素,還是外部世界經(jīng)濟形勢與發(fā)展格局改變的影響,也開始邁入一個新的階段。與各類高科技新興產(chǎn)業(yè)的風(fēng)頭正勁相比,我國制造業(yè)的現(xiàn)狀可謂是風(fēng)雨飄搖,在困難重重中艱難前行。本文先就信用風(fēng)險的概念及產(chǎn)生原因進行了簡單的介紹,并概括性對國內(nèi)外關(guān)于商業(yè)銀行信用風(fēng)險的研究做出了描述;然后對現(xiàn)有的信用風(fēng)險的度量方法進行簡單介紹,做出比較與評價,最終選用了最適合我國現(xiàn)狀的Logistics模型,對我國的制造企業(yè)的信用風(fēng)險進行了實證分析。在實證分析部分,本文分別選取了 83家高風(fēng)險企業(yè)和83家低風(fēng)險企業(yè),以及各自30項財務(wù)指標(biāo)和7項非財務(wù)指標(biāo)。在對各項指標(biāo)進行數(shù)據(jù)處理,即顯著性檢驗和主成分分析后,最終確定了構(gòu)建模型的5個主成分,利用這5個主成分建立了最終的Logistic回歸模型。通過檢驗,發(fā)現(xiàn)該模型有著較為準(zhǔn)確的預(yù)測率。這表明本文所構(gòu)建的回歸模型對于商業(yè)銀行預(yù)測制造業(yè)企業(yè)信用風(fēng)險有著一定現(xiàn)實意義。文章最后,就我國商業(yè)銀行對于信用風(fēng)險的防范和控制方面提出了相關(guān)對策建議。
[Abstract]:Commercial banks are an indispensable and very important part of our financial system. Since the global financial and economic crisis, it has been affected by the slow recovery of the global economy. China has also slowed down the pace of economic development. At present, the overall economic development of our country is the real economy as a whole showing a relatively weak state, the number of bankrupt small and medium-sized enterprises is also increasing day by day. On the other hand. Under the background of the economic globalization, the financial market of our country and the financial market of each country converge with each other. The financial market has continuously introduced various kinds of financial innovation products, and the mixed operation mode of financial institutions has gradually begun to form. Since the 13th Five-Year Plan, China has continued to emphasize. Deepening the comprehensive reform of the financial system will be the focus of the next step of economic reform. Therefore, the competition and challenges that the commercial banks of our country have to face are also increasing day by day. Commercial banks should strengthen their ability to resist and defend all kinds of risks. At present, commercial banks are faced with the main threats are operational risk, interest rate risk, market risk, credit risk, market risk. Among them, credit risk has a great impact on the healthy and sustainable development of commercial banks. The traditional meaning of credit risk is that the debtor is unable to pay back to the bank because of his inability or his own will. The loss of assets to banks caused by default. Broader credit risk, meaning in the modern sense. It refers to the possibility that the commercial bank will lose itself because of the breach of contract by the borrower or the market counterparty. That is to say, the current credit risk includes the traditional meaning, but also includes the change in the market value of the debt due to the change of the borrower's credit rating and the change of the performance ability. In recent years, the growth rate of GDP in China has slowed down compared with the previous growth rate. The situation of rapid economic growth has changed into the present medium and high speed growth. At the same time, the manufacturing industry in our country has been subjected to both internal macroeconomic and macroeconomic environmental factors. Or the impact of the external world economic situation and the change of development pattern, also began to enter a new stage. Compared with all kinds of high-tech emerging industries, the status quo of China's manufacturing industry is shaky. In this paper, the concept of credit risk and its causes are briefly introduced, and the domestic and foreign research on the credit risk of commercial banks is described. Then the existing measures of credit risk are simply introduced, compared and evaluated, and finally selected the most suitable for the current situation of China's Logistics model. In the part of empirical analysis, 83 high-risk enterprises and 83 low-risk enterprises are selected. And each of 30 financial indicators and 7 non-financial indicators. After the data processing of each index, namely significance test and principal component analysis, the five principal components of the model were finally determined. The final Logistic regression model was established by using these five principal components. It is found that the model has a more accurate prediction rate, which indicates that the regression model constructed in this paper has a certain practical significance for commercial banks to predict the credit risk of manufacturing enterprises. This paper puts forward some countermeasures and suggestions on the prevention and control of credit risk in Chinese commercial banks.
【學(xué)位授予單位】:山東大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:F832.33;F424

【參考文獻】

相關(guān)期刊論文 前10條

1 姜涵;;我國商業(yè)銀行信用風(fēng)險的評估與管理[J];商業(yè)經(jīng)濟;2017年01期

2 程翠鳳;;基于Logistic回歸模型的我國化工上市企業(yè)財務(wù)危機預(yù)警研究[J];改革與開放;2016年23期

3 宋玉娟;;我國商業(yè)銀行信用風(fēng)險現(xiàn)狀及風(fēng)險管理新思路[J];中外企業(yè)家;2016年14期

4 王朝龍;;商業(yè)銀行信用風(fēng)險管理現(xiàn)狀及對策[J];現(xiàn)代企業(yè);2016年02期

5 黃國慧;;我國商業(yè)銀行信用風(fēng)險管理存在的問題及對策[J];商;2016年02期

6 王維康;;淺析我國商業(yè)銀行信用風(fēng)險管理問題及其對策[J];商場現(xiàn)代化;2015年29期

7 張樂;;現(xiàn)代信用風(fēng)險計量方法與我國商業(yè)銀行的信用風(fēng)險管理研究[J];開發(fā)研究;2014年05期

8 孫森;王玲;;基于KMV-Logit模型的上市公司違約風(fēng)險實證研究[J];財會月刊;2014年18期

9 鄧晶;秦濤;黃珊;;基于Logistic模型的我國上市公司信用風(fēng)險預(yù)警研究[J];金融理論與實踐;2013年02期

10 張傳新;王光偉;;基于主成分分析和Logit模型的商業(yè)銀行信用風(fēng)險度量研究[J];西部經(jīng)濟管理論壇;2012年04期

,

本文編號:1484777

資料下載
論文發(fā)表

本文鏈接:http://sikaile.net/gongshangguanlilunwen/1484777.html


Copyright(c)文論論文網(wǎng)All Rights Reserved | 網(wǎng)站地圖 |

版權(quán)申明:資料由用戶d1e4b***提供,本站僅收錄摘要或目錄,作者需要刪除請E-mail郵箱bigeng88@qq.com