The Research On And Design Of Bank Personal Financial Assistant Decision System

With the increase in foreign exchange reserves and residents' deposits,banks are offering more and more categories of financial management.When it comes to the personal finance,people show increasing concern to the establishment of reasonable personal financial planning and the selection of appropriate investment activities.At present,both the domestic and foreign financial management systems conduct analyses and make decisions on the basis of customers' historical transaction records,the disadvantages of which are as follows: firstly,recommendations made on the basis of personal experience are bound to be inaccurate as the customer managers depend solely on customers' previous transaction records,their familiarity with and preference for some products.Secondly,the system neither evaluates customers' risk tolerance nor accurately analyzes their asset allocation,it's unable to recommend accurately the combination of domestic and foreign wealth management products.Therefore,the bank personal financial assistant decision system arises under this circumstance.Targeting the above problems,and set in HSBC,this paper,on the basis of current research background of personal finance recommendation at home and abroad,aims to discuss bank personal financing decision-making and planning and probe into the four aspects of information collection,the establishment of judgement model,design of decision-making system and its implementation.Focusing on customers' overall risk assessment index and specific risk assessment indicators in the process of personal wealth management,and taking into consideration customers' financial status,product recognition and investment preferences,this paper intends to design and implement a banks personal financial assistant decision system and make the recommendation of the combination of domestic and foreign financial products.This paper has accomplished the following research work:1.A targeted customer evaluation model is established.By collecting customers' information data and behavior data,analyzing customers'(group's)hidden characteristics and attaching greater importance to the analysis of behavior characteristics of the same or similar customer group,it creates more accurate customer portraits for them.2.A recommended algorithm is designed.Based on the accurate customer portraits,through customers' overall risk assessment index and specific risk assessment indicators,combined with customers' investment preferences,it builds judgement model of BPFADS to make recommendations of global and domestic resource allocation.3.A system is designed and implemented.On the basis of the original evaluation system,it adds a series of qualitative and quantitative indexes of customers' overall risk assessment and specific risk assessment,designs and implements judgement model of BPFADS,realizes the recommendation of the combination of domestic and foreign financial products,thus greatly improves the accuracy and effectiveness of products and services.At present,BPFADS has been running smoothly in HSBC for 6 months,its professional degree and accuracy winning recognition and praise of over 30,000 customers.After testing,the precision of the system is improved obviously.Which recommends 5 domestic financial products,this system,under the same condition,recommends 3 domestic and 1 foreign financial products with more accuracy,improving recommendation precision by 40% and 60% respectively.The application of this system to HSBC shows that the system improves effectiveness of recommendation of combination of personal financial products,saves time for high-quality customers and improves efficiency in decision-making when choosing financial products.Finally,this paper proposes tentative suggestions on improving the system in the future.