Research On Default Risk Prediction Of Corporate Credit Bonds Based On KMV-Random Forest Model

After more than 40 years of reform and opening up,our country’s economic development has entered a new stage and made remarkable achievements.As an indispensable financial market in the national economy,it serves as an important channel of financing,provides a standardized place for our companies and investors,and is also an important place for corporate financing.In the course of using many important financing tools,the standardized operation and development of the credit bond market will help to promote the healthy competition of the company’s financing and guide the rational investment of the society.But as the financial market continues to expand and the company’s credit-bond violations continue to occur,therefore,how to accurately and effectively estimate the risks of corporate credit bonds,and make it possible for the society and the city to realize the general easing of the society and the city.This thesis constructs a new model for estimating the risks of corporate credit debt by comparing the real-time and real-time use of the real-time version of the real-time version of the real-time version of the real-time version of the real-time version of the real-time version of the real-time version of the real-time version of the real-time version of the real-time version of the real-time version of the real-time version of the real-time version of the real-time version of the It is used to analyze the credit bond of the company,estimate the risk of the credit bond of the company,and put forward the corresponding suggestions on the risk prevention policy.This thesis ets up the model of the reviser of the real-time speeding-up of the red-up and red-up of the red-up and red-up of the red-up and red-up of the red-up and the red-up of the red-up and the red-up of the red-up and the red-up of the red-To revise the parameters of a model that allows a company to narrow the speed at which a company’s share of the world’s population can be used to make a company’s share of the world’s population even smaller,estimate the company’s default distance,used to assess the company’s default risk.Studies show that,to make it more obvious that China will be able to show that it is not a big deal when it comes to the scope of the world’s biggest domestic product,that it will be a big deal when it comes to the world’s biggest domestic product,the world’s biggest domestic product,the use of the modified KMV model allows for an even-out of the risk of the world’s major players in the world’s largest economy in the form of an even-more-precise version of the World Wide Web,it has a certain analytical validity.After that,with the help of the algorithm of the real-time combat,the company could classify the company’s risk of default into 7 categories and 39 financial indicators.Then,the thesis constructs an analytical tool based on the modified KMV-random forest algorithm as the company’s credit risk,an analysis of how the company’s credit risk has been reduced in the case of the world’s second-largest economy,using the most recent sample data of the year 2002 to demonstrate the risk of the company breaching the requirements for the world’s second-largest economy to combat the threat of the world’s second-largest economy to the world’s second-largest economy,the world’s second-largest economy.Research shows that the speed at which a person is in charge of a real-world economy is greater than that of a real-world economy.The risk that the company will run the risk of having to comply with the requirement of a full-blown combat operation as the overall share of the world’s population in the world’s population falls below zero in terms of the size of the nation’s economy,the world’s largest economy.1.Narrow the total amount of money that can be used to make the world’s biggest economy a little smaller than the amount that can be used to make the world’s biggest economy a little smaller.A range of financial indicators,such as the risk that the world will see a sharp increase in the size of the world’s biggest economy,will be set aside for the world’s second-largest economy.Finally,the thesis uts forward some macrocosm and microcosm countermeasures to reduce the default risk of corporate credit bonds.