Research On Pricing Of Taobao Return Shipping Insurance

Entering into the 21 st century,the Internet has a subversive influence on multiple industries and fields.In recent years,the Internet technology and finance constantly fuse,thus Internet finance has been produced.With the service fragmentation,diversified scenario,Internet finance has gained rapid development.Insurance has a positive attitude toward using Internet technology to improve the financial services industry early in China.With the rapid development of Internet insurance,many insurance products have occurred,which keep up with the need of the times and meet the needs of the masses.2010 Huatai Insurance Company and Taobao platform jointly launched a combination of e-commerce and Internet insurance products-return freight insurance(hereinafter referred to as "return insurance").Refund Freight insurance is the insurance industry against the new product of innovation,which will position the risk on the needs of consumer purchase and return,the loss will be located in the return of goods generated by the consumer return freight loss.However,this is aimed at reducing the net purchase dispute,providing the insurance for the loss of the risk of return.In the process of rapid development,insurance company has not gained enormous profits.Media reports said that since Huatai Insurance introduced return shipping costs,the refund rate has been high,the direct payment rate is about 93%%,so the risk of the species has been in a loss state.The reason is that the insurance company is currently aiming at the problem of the premium pricing of return freight insurance(buyer),which will cause moral hazard and adverse selection because of asymmetric information,and this leads to the increase of the payment of the insurance company,so it is very important for the buyer to make reasonable pricing.As the domestic first internet risk insurance,there is no experience in foreign countries that we can learn from,and the research on the insurance is concentrated on the study of the role and problems of the withdrawal risk in the e-commerce platform from macroscopic qualitative aspects,and not so much research from microcosmic perspective.This paper aims to adopt the premium pricing model of Bayesian updates and integrate the large data resources obtained by the primary data,and to determine the Apriori distribution of Bayesian premium by clustering analysis.Reasonable and targeted for the refund of Insurance(buyer edition)of the premium pricing,and strive to adjust the dynamic premium price,for the consumer's own label information to solve the risk of withdrawal(buyer version)of information asymmetry caused problems.