CN105427170A - Asset allocation strategy matching method and device - Google Patents
Asset allocation strategy matching method and device Download PDFInfo
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- CN105427170A CN105427170A CN201510763198.3A CN201510763198A CN105427170A CN 105427170 A CN105427170 A CN 105427170A CN 201510763198 A CN201510763198 A CN 201510763198A CN 105427170 A CN105427170 A CN 105427170A
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Abstract
The invention provides an asset allocation strategy matching method and device. The method comprises the following steps: determining the loss range limiting value and the profit degree limiting value of a user; for each candidate asset allocation strategy, determining the portfolio return and the combination volatility of each candidate asset allocation strategy; according to the portfolio return and the combination volatility of each candidate asset allocation strategy, determining a probability that the loss range of each candidate asset allocation strategy is greater than the loss range limiting value, and the probability that the profit degree is greater than the profit degree limiting value; selecting a target asset allocation strategy from the candidate asset allocation strategy, wherein the probability that the loss range is greater than the loss range limiting value and the probability that the profit degree is greater than the profit degree limiting value conform to a preset probability condition; and recommending the target asset allocation strategy to the user. The asset allocation strategy matching method provided by the invention can recommend the asset allocation strategy which has a high matching degree with the practical requirements of the user to the user, and improves the service experience of the user.
Description
Technical field
The present invention relates to Data Matching technical field, be specifically related to a kind of Asset Allocation strategy matching method and device.
Background technology
Asset Allocation strategy refers to according to user's request and risk attributes, the assets (as fund etc.) of user are carried out between different class of assets the strategy distributed, common Asset Allocation strategy as by assets in low-risk, low income, and excessive risk, carry out the strategy such as distributing between high yield assets.Bank is as the important unit of leading subscriber assets, and the staff of bank often needs the actual conditions according to user, for user recommends Asset Allocation strategy, therefore how for user recommends the Asset Allocation strategy mated to seem particularly necessary.
Mainly, bank clerk is according to the experience of self, and the Assets of user and demand, choose the Asset Allocation strategy recommending user from the Asset Allocation strategy of multiple candidate for current Asset Allocation strategy matching mode; This Asset Allocation strategy matching mode primarily of bank clerk according to the Assets of user and demand, the subjective Asset Allocation strategy choosing recommendation from the Asset Allocation strategy of multiple candidate, recommendation results limits by the professional quality of bank clerk and experience, often can there is the Asset Allocation strategy of recommendation, situation unmatched with the actual demand of user, this reduces the service experience of user undoubtedly;
Therefore, a kind of new Asset Allocation strategy matching method is provided, to make the Asset Allocation strategy recommending user, higher matching degree can be had with the actual demand of user, become the problem that those skilled in the art need to consider.
Summary of the invention
In view of this, the embodiment of the present invention provides a kind of Asset Allocation strategy matching method and device, to make the Asset Allocation strategy recommending user, can have higher matching degree with the actual demand of user, promotes the service experience of user.
For achieving the above object, the embodiment of the present invention provides following technical scheme:
A kind of Asset Allocation strategy matching method, comprising:
Determine loss amplitude limit value and the profit degree limit value of user;
For each candidate's Asset Allocation strategy, determine portfolio yield and the combination stability bandwidth of each candidate's Asset Allocation strategy;
According to portfolio yield and the combination stability bandwidth of each candidate's Asset Allocation strategy, determine that the loss amplitude of each candidate's Asset Allocation strategy is greater than the probability of described loss amplitude limit value, and profit degree is greater than the probability of profit degree limit value;
From candidate's Asset Allocation strategy, choose loss amplitude and be greater than the probability that the probability of described loss amplitude limit value and profit degree be greater than profit degree limit value, meet the desired asset collocation strategy of predetermined probability condition;
Described desired asset collocation strategy is recommended user.
Wherein, described determine each candidate's Asset Allocation strategy portfolio yield and combination stability bandwidth comprise:
According to formula
determine the portfolio yield of candidate's Asset Allocation strategy, wherein, R
pfor portfolio yield, X
ifor the allocation ratio of the i-th class assets in candidate's Asset Allocation strategy, r
ifor the historical return of the i-th class assets in candidate's Asset Allocation strategy;
According to formula
determine the combination stability bandwidth of candidate's Asset Allocation strategy, wherein, σ
pfor combination stability bandwidth, Cov (i, j) is the covariance between the i-th class assets and jth class assets, X
jfor the allocation ratio of jth class assets in candidate's Asset Allocation strategy.
Wherein, the described portfolio yield according to each candidate's Asset Allocation strategy and combination stability bandwidth, determine that the loss amplitude of each candidate's Asset Allocation strategy is greater than the probability of described loss amplitude limit value, and the probability that profit degree is greater than profit degree limit value comprises:
The normal distribution that it is parameter that if candidate's Asset Allocation strategy meets with historical return and Historic Volatility, then according to cumulative distribution function, with the portfolio yield of each candidate's Asset Allocation strategy and combination stability bandwidth, determine that the loss amplitude of each candidate's Asset Allocation strategy in described normal distribution is greater than probability F (a)=P (K≤a), and profit degree is greater than probability F (the b)=1-P (K < b) of profit degree limit value of described loss amplitude limit value;
Wherein, the probability of F (a) described loss amplitude limit value for loss amplitude is greater than, F (b) is greater than the probability of profit degree limit value for profit degree, and a is loss amplitude limit value, and b is profit degree limit value, and K represents loss amplitude, and P represents probability.
Wherein, the deterministic process of candidate's Asset Allocation strategy comprises:
From safeguarded consumer's risk ability to bear, determine the risk tolerance evaluation and test value of user;
From announced Asset Allocation strategy, choose and be worth corresponding Asset Allocation strategy to described risk tolerance evaluation and test, by selected Asset Allocation strategy alternatively Asset Allocation strategy.
Wherein, described method also comprises:
Safeguard large class Asset Type;
Maintenance customer's risk tolerance;
Queries asset collocation strategy;
Inquire about publishing policy;
Create Asset Allocation strategy.
Wherein, described establishment Asset Allocation strategy comprises:
Create if Asset Allocation strategy is wealth private portion, then after described Asset Allocation strategy creates, prompting wealth consultant supervisor carries out examination & verification and issues in bank inside, wealth consultant supervisor after described Asset Allocation strategy is issued in bank's internal check, if examination & verification is not passed through, prompting wealth consultant supervisor updates described Asset Allocation strategy, if examination & verification is passed through, then determine that described Asset Allocation strategy creates successfully, and described Asset Allocation strategy is deposited in Asset Allocation policy library, to inquire about;
Or, create if Asset Allocation strategy is individual portion, then after described Asset Allocation strategy creates, point out and carry out examination & verification issue through investment portfolio supervisor in bank inside, handle after described Asset Allocation strategy is issued in bank's internal check in investment portfolio, if examination & verification is not passed through, prompting investment portfolio is handled and is updated described Asset Allocation strategy, if examination & verification is passed through, then determine that described Asset Allocation strategy creates successfully, and described Asset Allocation strategy is deposited in Asset Allocation policy library, to inquire about.
The embodiment of the present invention also provides a kind of Asset Allocation strategy matching device, comprising:
Limit value determination module, for determining loss amplitude limit value and the profit degree limit value of user;
Portfolio yield and stability bandwidth determination module, for for each candidate's Asset Allocation strategy, determine portfolio yield and the combination stability bandwidth of each candidate's Asset Allocation strategy;
Probability determination module, for according to the portfolio yield of each candidate's Asset Allocation strategy and combination stability bandwidth, determine that the loss amplitude of each candidate's Asset Allocation strategy is greater than the probability of described loss amplitude limit value, and profit degree is greater than the probability of profit degree limit value;
Target strategy determination module, for from candidate's Asset Allocation strategy, chooses loss amplitude and is greater than the probability that the probability of described loss amplitude limit value and profit degree be greater than profit degree limit value, meet the desired asset collocation strategy of predetermined probability condition;
Recommending module, for recommending user by described desired asset collocation strategy.
Wherein, described portfolio yield and stability bandwidth determination module comprise:
Portfolio yield computing unit, for according to formula
determine the portfolio yield of candidate's Asset Allocation strategy, wherein, R
pfor portfolio yield, X
ifor the allocation ratio of the i-th class assets in candidate's Asset Allocation strategy, r
ifor the historical return of the i-th class assets in candidate's Asset Allocation strategy;
Combination stability bandwidth computing unit, for according to formula
determine the combination stability bandwidth of candidate's Asset Allocation strategy, wherein, σ
pfor combination stability bandwidth, Cov (i, j) is the covariance between the i-th class assets and jth class assets, X
jfor the allocation ratio of jth class assets in candidate's Asset Allocation strategy.
Wherein, described probability determination module comprises:
Probability determination performance element, if for the normal distribution that to meet with historical return and Historic Volatility be parameter of candidate's Asset Allocation strategy, then according to cumulative distribution function, with the portfolio yield of each candidate's Asset Allocation strategy and combination stability bandwidth, determine that the loss amplitude of each candidate's Asset Allocation strategy in described normal distribution is greater than probability F (a)=P (K≤a), and profit degree is greater than probability F (the b)=1-P (K < b) of profit degree limit value of described loss amplitude limit value;
Wherein, the probability of F (a) described loss amplitude limit value for loss amplitude is greater than, F (b) is greater than the probability of profit degree limit value for profit degree, and a is loss amplitude limit value, and b is profit degree limit value, and K represents loss amplitude, and P represents probability.
Wherein, described device also comprises:
Candidate's Asset Allocation strategy chooses module, for from safeguarded consumer's risk ability to bear, determines the risk tolerance evaluation and test value of user; From announced Asset Allocation strategy, choose and be worth corresponding Asset Allocation strategy to described risk tolerance evaluation and test, by selected Asset Allocation strategy alternatively Asset Allocation strategy.
Based on technique scheme, according to portfolio yield and the combination stability bandwidth of each candidate's Asset Allocation strategy, the embodiment of the present invention can determine that the loss amplitude of each candidate's Asset Allocation strategy is greater than the probability of loss amplitude limit value, the probability of profit degree limit value is greater than with profit degree, and lose amplitude limit value and profit degree limit value is set by the user, associate with the Asset Allocation demand of user's reality; Therefore the probability of described loss amplitude limit value is greater than by the loss amplitude of each candidate's Asset Allocation strategy, be greater than the probability of profit degree limit value with profit degree, the conjugation of each candidate's Asset Allocation strategy and user's actual need can embody by the embodiment of the present invention; And then from candidate's Asset Allocation strategy, choose the probability that loss amplitude is greater than described loss amplitude limit value, the probability of profit degree limit value is greater than with profit degree, meet the desired asset collocation strategy of predetermined probability condition, and desired asset collocation strategy is recommended user, the Asset Allocation strategy matching method recommending user can be made, with the actual demand of user, there is higher matching degree; The Asset Allocation strategy matching method that the embodiment of the present invention provides, the Asset Allocation strategy actual demand with user with higher matching degree recommends user, promotes the service experience of user.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only embodiments of the invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to the accompanying drawing provided.
The process flow diagram of the Asset Allocation strategy matching method that Fig. 1 provides for the embodiment of the present invention;
Fig. 2 is the schematic diagram of Asset Allocation business scenario;
Fig. 3 is Asset Allocation strategy internal components designs figure;
Fig. 4 is M-V parameter internal components designs figure;
Fig. 5 is risk class component inside design drawing;
Fig. 6 is assets large class A of geometric unitA indoor design figure;
The structured flowchart of the Asset Allocation strategy matching device that Fig. 7 provides for the embodiment of the present invention;
The structured flowchart of the portfolio yield that Fig. 8 provides for the embodiment of the present invention and stability bandwidth determination module;
The structured flowchart of the probability determination module that Fig. 9 provides for the embodiment of the present invention;
Another structured flowchart of the Asset Allocation strategy matching device that Figure 10 provides for the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
The process flow diagram of the Asset Allocation strategy matching method that Fig. 1 provides for the embodiment of the present invention, the method can be applicable in bank server, realizes mating of Asset Allocation strategy and user, and with reference to Fig. 1, the method can comprise:
Step S100, the loss amplitude limit value determining user and profit degree limit value;
The loss amplitude limit value of user and profit degree limit value are the expectation demand of user to Asset Allocation, and representing the requirement of loss that user brings Asset Allocation strategy and income, is the expression of user's actual need;
Optionally, after the loss amplitude limit value of user and profit degree limit value can be inputted on a user device by user, bank server is transferred to; As user can log in bank's page by subscriber equipment, Asset Allocation strategy can be recommended in bank's page request, the loss amplitude limit value that bank's page can point out user to input expectation and profit degree limit value, thus after inputting loss amplitude limit value and profit degree limit value on a user device by user, transfer to bank server;
Optionally, the loss amplitude limit value of user also can be inputted by the bank clerk of serving for user with profit degree limit value; As bank clerk inputs the loss amplitude limit value of user and profit degree limit value by bank's internal unit, thus the loss amplitude limit value of user and profit degree limit value are transferred to bank server.
Step S110, for each candidate's Asset Allocation strategy, determine each candidate's Asset Allocation strategy portfolio yield and combination stability bandwidth;
Candidate's Asset Allocation strategy is to be recommended to the Asset Allocation strategy of user, and quantity is multiple; The embodiment of the present invention need be chosen one or more desired asset collocation strategy mated with user and recommend user from candidate's Asset Allocation strategy;
Further, when recommending Asset Allocation strategy, the risk that user can bear can be weighed, thus will can bear the Asset Allocation strategy alternatively Asset Allocation strategy in risk user; Concrete, the embodiment of the present invention from safeguarded consumer's risk ability to bear, can determine the risk tolerance evaluation and test value of user; From announced Asset Allocation strategy, choose and be worth corresponding Asset Allocation strategy to described risk tolerance evaluation and test, by selected Asset Allocation strategy alternatively Asset Allocation strategy;
Wherein, the default value of consumer's risk ability to bear is determined by the common risk ability to bear test and appraisal rule formulated in bank, and maintenance customer's risk tolerance refers to bank clerk by the communication with user to the maintenance of test and appraisal value;
Optionally, for each candidate's Asset Allocation strategy, the embodiment of the present invention can in calculated candidate Asset Allocation strategy, earning rate, the stability bandwidth of each large class assets, and then according to the Asset Allocation ratio of various combination, the earning rate of all kinds of assets in candidate's Asset Allocation strategy, stability bandwidth are weighted on average, obtain portfolio yield and the combination stability bandwidth of candidate's Asset Allocation strategy;
Optionally, for each large class assets, the earning rate of assets, the calculating of stability bandwidth can be: first calculate on the basis of the monthly data of assets monthly average earning rate, the moon stability bandwidth, then carry out year.
Step S120, according to the portfolio yield of each candidate's Asset Allocation strategy and combination stability bandwidth, determine that the loss amplitude of each candidate's Asset Allocation strategy is greater than the probability of described loss amplitude limit value, and profit degree is greater than the probability of profit degree limit value;
After the portfolio yield calculating each candidate's Asset Allocation strategy and combination stability bandwidth, the loss amplitude that the embodiment of the present invention can calculate each candidate's Asset Allocation strategy is further greater than the probability of described loss amplitude limit value, the probability of profit degree limit value is greater than, so that combine with degree limit value of getting a profit with the loss amplitude limit value of user with profit degree; Make each candidate's Asset Allocation strategy and user's actual need in conjunction with situation, the probability of described loss amplitude limit value can be greater than by loss amplitude, and the probability that profit degree is greater than profit degree limit value embodies.
Step S130, from candidate's Asset Allocation strategy, choose loss amplitude and be greater than the probability that the probability of described loss amplitude limit value and profit degree be greater than profit degree limit value, meet the desired asset collocation strategy of predetermined probability condition;
Optionally, predetermined probability condition can be set by the user, and also can be formulated by bank inside, and being preferably loss amplitude, to be greater than the probability of described loss amplitude limit value minimum, and/or profit degree is greater than the maximum probability of profit degree limit value; The quantity of determined desired asset collocation strategy can be one or more, is specifically determined by the setting of predetermined probability condition.
Step S140, described desired asset collocation strategy is recommended user.
The Asset Allocation strategy matching method that the embodiment of the present invention provides, comprising: loss amplitude limit value and the profit degree limit value of determining user; For each candidate's Asset Allocation strategy, determine portfolio yield and the combination stability bandwidth of each candidate's Asset Allocation strategy; According to portfolio yield and the combination stability bandwidth of each candidate's Asset Allocation strategy, determine that the loss amplitude of each candidate's Asset Allocation strategy is greater than the probability of described loss amplitude limit value, and profit degree is greater than the probability of profit degree limit value; From candidate's Asset Allocation strategy, choose loss amplitude and be greater than the probability that the probability of described loss amplitude limit value and profit degree be greater than profit degree limit value, meet the desired asset collocation strategy of predetermined probability condition; Described desired asset collocation strategy is recommended user.
Can find out, according to portfolio yield and the combination stability bandwidth of each candidate's Asset Allocation strategy, the embodiment of the present invention can determine that the loss amplitude of each candidate's Asset Allocation strategy is greater than the probability of loss amplitude limit value, the probability of profit degree limit value is greater than with profit degree, and lose amplitude limit value and profit degree limit value is set by the user, associate with the Asset Allocation demand of user's reality; Therefore the probability of described loss amplitude limit value is greater than by the loss amplitude of each candidate's Asset Allocation strategy, be greater than the probability of profit degree limit value with profit degree, the conjugation of each candidate's Asset Allocation strategy and user's actual need can embody by the embodiment of the present invention; And then from candidate's Asset Allocation strategy, choose loss amplitude and be greater than the probability that the probability of described loss amplitude limit value and profit degree be greater than profit degree limit value, meet the desired asset collocation strategy of predetermined probability condition, and desired asset collocation strategy is recommended user, the Asset Allocation strategy matching method recommending user can be made, with the actual demand of user, there is higher matching degree; The Asset Allocation strategy matching method that the embodiment of the present invention provides, the Asset Allocation strategy actual demand with user with higher matching degree recommends user, promotes the service experience of user.
Optionally, in the aspect of the portfolio yield and combination stability bandwidth of determining each candidate's Asset Allocation strategy, the embodiment of the present invention determines portfolio yield and the combination stability bandwidth of candidate's Asset Allocation strategy respectively by following formula:
According to formula
determine the portfolio yield of candidate's Asset Allocation strategy, wherein, R
pfor portfolio yield, X
ifor the allocation ratio of the i-th class assets in candidate's Asset Allocation strategy, r
ifor the historical return of the i-th class assets in candidate's Asset Allocation strategy;
According to formula
determine the combination stability bandwidth of candidate's Asset Allocation strategy, wherein, σ
pfor combination stability bandwidth, Cov (i, j) is the covariance between the i-th class assets and jth class assets, X
ifor the allocation ratio of the i-th class assets in candidate's Asset Allocation strategy, X
jfor the allocation ratio of jth class assets in candidate's Asset Allocation strategy.
Optionally, the normal distribution that it is parameter with its historical return, Historic Volatility that if the earning rate of Asset Allocation is obeyed, then the embodiment of the present invention can be used cumulative distribution function to calculate earning rate in this distribution to be less than or greater than the probability of certain value, based on this thought, the embodiment of the present invention can in the normal distribution being parameter with the historical return of candidate's Asset Allocation strategy and Historic Volatility, determine that the loss amplitude of each candidate's Asset Allocation strategy is greater than the probability of described loss amplitude limit value, and profit degree is greater than the probability of profit degree limit value;
Concrete, the normal distribution that it is parameter that if candidate's Asset Allocation strategy meets with historical return and Historic Volatility, then according to cumulative distribution function, the embodiment of the present invention can each candidate's Asset Allocation strategy portfolio yield and combination stability bandwidth, determine that the loss amplitude of each candidate's Asset Allocation strategy in described normal distribution is greater than probability F (a)=P (K≤a), and profit degree is greater than probability F (the b)=1-P (K < b) of profit degree limit value of described loss amplitude limit value;
Wherein, the probability of F (a) described loss amplitude limit value for loss amplitude is greater than, F (b) is greater than the probability of profit degree limit value for profit degree, and a is loss amplitude limit value, and b is profit degree limit value, and K represents loss amplitude, and P represents probability.
Optionally, bank clerk can also carry out safeguarding large class Asset Type, maintenance customer's risk tolerance, queries asset collocation strategy, inquires about publishing policy, creates the work such as Asset Allocation strategy;
In Asset Allocation business scenario, bank wealth private portion wealth consultant can carry out safeguarding large class Asset Type, maintenance customer's risk tolerance, queries asset collocation strategy, inquire about the operation such as publishing policy (wealth private portion), establishment Asset Allocation strategy (wealth private portion); Wherein, can be responsible for by wealth consultant after Asset Allocation strategy has created and carry out examination & verification issue, if examination & verification will not be by then being updated by wealth consultant, if examination & verification is passed through, then determine that Asset Allocation strategy has created, and Asset Allocation strategy can to deposit in asset management component (as in Asset Allocation policy library) to inquire about;
Wherein, large class Asset Type can be defined by bank, can have multinomial, and Wealth management and the private banking department can be as the criterion by this large class Asset Type, has regularly therefrom screened 7-8 kind artificially and has been applicable to doing in a private capacity or on one's own initiative and the type of personal user, being configured of targeting; The content of queries asset collocation strategy inquiry comprises the Asset Allocation strategy and announced strategy preserving and do not issue in a database, this function is after sending inquiry request by the button in query page to backstage, the specifying information sent by backstage forward end;
Optionally, after wealth private portion's Asset Allocation policy issue, investment portfolio handler in individual portion can inquire about announced Asset Allocation strategy, and create Asset Allocation strategy (individual portion) according to existing large class assets strategy, the Asset Allocation strategy created need be handled by investment portfolio and carry out examination & verification issue, if examination & verification is not passed through, then investment portfolio is handled and need be updated Asset Allocation strategy, if examination & verification is passed through, then determine that Asset Allocation strategy has created, and Asset Allocation strategy can to deposit in asset management component (as in Asset Allocation policy library) to inquire about,
Accordingly, Fig. 2 shows the schematic diagram of Asset Allocation business scenario, can refer to;
Based on describing above, server is when determining that Asset Allocation strategy is the establishment of wealth private portion, can after described Asset Allocation strategy creates, prompting wealth consultant supervisor carries out examination & verification and issues in bank inside, wealth consultant supervisor after described Asset Allocation strategy is issued in bank's internal check, if examination & verification is not passed through, prompting wealth consultant supervisor updates described Asset Allocation strategy, if examination & verification is passed through, then determine that described Asset Allocation strategy creates successfully, and described Asset Allocation strategy is deposited in Asset Allocation policy library, to inquire about;
Or, server is when Asset Allocation strategy is the establishment of individual portion, can after described Asset Allocation strategy creates, point out and carry out examination & verification issue through investment portfolio supervisor in bank inside, handle after described Asset Allocation strategy is issued in bank's internal check in investment portfolio, if examination & verification is not passed through, prompting investment portfolio is handled and is updated described Asset Allocation strategy, if examination & verification is passed through, then determine that described Asset Allocation strategy creates successfully, and described Asset Allocation strategy is deposited in Asset Allocation policy library, to inquire about.
Further, Fig. 3 shows Asset Allocation strategy internal components designs figure, can refer to; Asset Allocation strategy internals defines the Asset Allocation policy logic that the embodiment of the present invention provides, and can be used for inquiry, safeguards, creates Asset Allocation strategy etc.;
Fig. 4 shows M-V parameter internal components designs figure, can refer to; M-V parameter internals defines the M-V model that the embodiment of the present invention provides, M-V model is the core mathematics model of Asset Allocation strategy, and it is all the calculating being carried out theoretical value by M-V model formation that portfolio yield, combination stability bandwidth, loss amplitude are greater than the probability that the probability of described loss amplitude limit value and profit degree be greater than profit degree limit value;
Fig. 5 shows risk class component inside design drawing, can refer to; Risk class component defines the logic of maintenance customer's risk tolerance that the embodiment of the present invention provides, and can be used in the test and appraisal of maintenance customer's risk tolerance;
Fig. 6 shows assets large class A of geometric unitA indoor design figure, can refer to; The large class A of geometric unitA of assets can form the logic of the large class Asset Type of maintenance that the embodiment of the present invention provides, and can be used for inquiry, safeguards large class assets;
Obviously, based on describing content above, the embodiment of the present invention also can have other internals.
The Asset Allocation strategy matching method that the embodiment of the present invention provides, the Asset Allocation strategy actual demand with user with higher matching degree recommends user, promotes the service experience of user.
Below the Asset Allocation strategy matching device that the embodiment of the present invention provides is introduced, Asset Allocation strategy matching device described below can with the mutual corresponding reference of above-described Asset Allocation strategy matching method.
The structured flowchart of the Asset Allocation strategy matching device that Fig. 7 provides for the embodiment of the present invention, this device can be applicable in bank server, realizes mating of Asset Allocation strategy and user, and with reference to Fig. 7, this device can comprise:
Limit value determination module 100, for determining loss amplitude limit value and the profit degree limit value of user;
Portfolio yield and stability bandwidth determination module 200, for for each candidate's Asset Allocation strategy, determine portfolio yield and the combination stability bandwidth of each candidate's Asset Allocation strategy;
Probability determination module 300, for according to the portfolio yield of each candidate's Asset Allocation strategy and combination stability bandwidth, determine that the loss amplitude of each candidate's Asset Allocation strategy is greater than the probability of described loss amplitude limit value, and profit degree is greater than the probability of profit degree limit value;
Target strategy determination module 400, for from candidate's Asset Allocation strategy, chooses loss amplitude and is greater than the probability that the probability of described loss amplitude limit value and profit degree be greater than profit degree limit value, meet the desired asset collocation strategy of predetermined probability condition;
Recommending module 500, for recommending user by described desired asset collocation strategy.
Optionally, Fig. 8 shows a kind of alternate configurations of portfolio yield that the embodiment of the present invention provides and stability bandwidth determination module 200, and with reference to Fig. 8, portfolio yield and stability bandwidth determination module 200 can comprise:
Portfolio yield computing unit 210, for according to formula
determine the portfolio yield of candidate's Asset Allocation strategy, wherein, R
pfor portfolio yield, X
ifor the allocation ratio of the i-th class assets in candidate's Asset Allocation strategy, r
ifor the historical return of the i-th class assets in candidate's Asset Allocation strategy;
Combination stability bandwidth computing unit 220, for according to formula
determine the combination stability bandwidth of candidate's Asset Allocation strategy, wherein, σ
pfor combination stability bandwidth, Cov (i, j) is the covariance between the i-th class assets and jth class assets, X
jfor the allocation ratio of jth class assets in candidate's Asset Allocation strategy.
Optionally, Fig. 9 shows a kind of alternate configurations of the probability determination module 300 that the embodiment of the present invention provides, and with reference to Fig. 9, probability determination module 300 can comprise:
Probability determination performance element 310, if for the normal distribution that to meet with historical return and Historic Volatility be parameter of candidate's Asset Allocation strategy, then according to cumulative distribution function, with the portfolio yield of each candidate's Asset Allocation strategy and combination stability bandwidth, determine that the loss amplitude of each candidate's Asset Allocation strategy in described normal distribution is greater than probability F (a)=P (K≤a), and profit degree is greater than probability F (the b)=1-P (K < b) of profit degree limit value of described loss amplitude limit value;
Wherein, the probability of F (a) described loss amplitude limit value for loss amplitude is greater than, F (b) is greater than the probability of profit degree limit value for profit degree, and a is loss amplitude limit value, and b is profit degree limit value, and K represents loss amplitude, and P represents probability.
Optionally, Figure 10 shows another structured flowchart of the Asset Allocation strategy matching device that the embodiment of the present invention provides, and shown in composition graphs 7 and Figure 10, this device can also comprise:
Candidate's Asset Allocation strategy chooses module 600, for from safeguarded consumer's risk ability to bear, determines the risk tolerance evaluation and test value of user; From announced Asset Allocation strategy, choose and be worth corresponding Asset Allocation strategy to described risk tolerance evaluation and test, by selected Asset Allocation strategy alternatively Asset Allocation strategy.
Further, in the embodiment of the present invention, Asset Allocation strategy matching device can also carry out safeguarding large class Asset Type, maintenance customer's risk tolerance, queries asset collocation strategy, inquires about publishing policy, and creates the operations such as Asset Allocation strategy;
In establishment Asset Allocation strategy aspect, in the embodiment of the present invention, if it is that wealth private portion creates that Asset Allocation strategy matching device can also be used for Asset Allocation strategy, then after described Asset Allocation strategy creates, prompting wealth consultant supervisor carries out examination & verification and issues in bank inside, wealth consultant supervisor after described Asset Allocation strategy is issued in bank's internal check, if examination & verification is not passed through, prompting wealth consultant supervisor updates described Asset Allocation strategy, if examination & verification is passed through, then determine that described Asset Allocation strategy creates successfully, and described Asset Allocation strategy is deposited in Asset Allocation policy library, to inquire about,
Or, create if Asset Allocation strategy is individual portion, then after described Asset Allocation strategy creates, point out and carry out examination & verification issue through investment portfolio supervisor in bank inside, handle after described Asset Allocation strategy is issued in bank's internal check in investment portfolio, if examination & verification is not passed through, prompting investment portfolio is handled and is updated described Asset Allocation strategy, if examination & verification is passed through, then determine that described Asset Allocation strategy creates successfully, and described Asset Allocation strategy is deposited in Asset Allocation policy library, to inquire about.
The Asset Allocation strategy matching device that the embodiment of the present invention provides, the Asset Allocation strategy actual demand with user with higher matching degree recommends user, promotes the service experience of user.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar portion mutually see.For device disclosed in embodiment, because it corresponds to the method disclosed in Example, so description is fairly simple, relevant part illustrates see method part.
Professional can also recognize further, in conjunction with unit and the algorithm steps of each example of embodiment disclosed herein description, can realize with electronic hardware, computer software or the combination of the two, in order to the interchangeability of hardware and software is clearly described, generally describe composition and the step of each example in the above description according to function.These functions perform with hardware or software mode actually, depend on application-specific and the design constraint of technical scheme.Professional and technical personnel can use distinct methods to realize described function to each specifically should being used for, but this realization should not thought and exceeds scope of the present invention.
The software module that the method described in conjunction with embodiment disclosed herein or the step of algorithm can directly use hardware, processor to perform, or the combination of the two is implemented.Software module can be placed in the storage medium of other form any known in random access memory (RAM), internal memory, ROM (read-only memory) (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field.
To the above-mentioned explanation of the disclosed embodiments, professional and technical personnel in the field are realized or uses the present invention.To be apparent for those skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein can without departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (10)
1. an Asset Allocation strategy matching method, is characterized in that, comprising:
Determine loss amplitude limit value and the profit degree limit value of user;
For each candidate's Asset Allocation strategy, determine portfolio yield and the combination stability bandwidth of each candidate's Asset Allocation strategy;
According to portfolio yield and the combination stability bandwidth of each candidate's Asset Allocation strategy, determine that the loss amplitude of each candidate's Asset Allocation strategy is greater than the probability of described loss amplitude limit value, and profit degree is greater than the probability of profit degree limit value;
From candidate's Asset Allocation strategy, choose loss amplitude and be greater than the probability that the probability of described loss amplitude limit value and profit degree be greater than profit degree limit value, meet the desired asset collocation strategy of predetermined probability condition;
Described desired asset collocation strategy is recommended user.
2. Asset Allocation strategy matching method according to claim 1, is characterized in that, described determine each candidate's Asset Allocation strategy portfolio yield and combination stability bandwidth comprise:
According to formula
determine the portfolio yield of candidate's Asset Allocation strategy, wherein, R
pfor portfolio yield, X
ifor the allocation ratio of the i-th class assets in candidate's Asset Allocation strategy, r
ifor the historical return of the i-th class assets in candidate's Asset Allocation strategy;
According to formula
determine the combination stability bandwidth of candidate's Asset Allocation strategy, wherein, σ
pfor combination stability bandwidth, Cov (i, j) is the covariance between the i-th class assets and jth class assets, X
jfor the allocation ratio of jth class assets in candidate's Asset Allocation strategy.
3. Asset Allocation strategy matching method according to claim 2, it is characterized in that, the described portfolio yield according to each candidate's Asset Allocation strategy and combination stability bandwidth, determine that the loss amplitude of each candidate's Asset Allocation strategy is greater than the probability of described loss amplitude limit value, and the probability that profit degree is greater than profit degree limit value comprises:
The normal distribution that it is parameter that if candidate's Asset Allocation strategy meets with historical return and Historic Volatility, then according to cumulative distribution function, with the portfolio yield of each candidate's Asset Allocation strategy and combination stability bandwidth, determine that the loss amplitude of each candidate's Asset Allocation strategy in described normal distribution is greater than probability F (a)=P (K≤a), and profit degree is greater than probability F (the b)=1-P (K < b) of profit degree limit value of described loss amplitude limit value;
Wherein, the probability of F (a) described loss amplitude limit value for loss amplitude is greater than, F (b) is greater than the probability of profit degree limit value for profit degree, and a is loss amplitude limit value, and b is profit degree limit value, and K represents loss amplitude, and P represents probability.
4. Asset Allocation strategy matching method according to claim 1, is characterized in that, the deterministic process of candidate's Asset Allocation strategy comprises:
From safeguarded consumer's risk ability to bear, determine the risk tolerance evaluation and test value of user;
From announced Asset Allocation strategy, choose and be worth corresponding Asset Allocation strategy to described risk tolerance evaluation and test, by selected Asset Allocation strategy alternatively Asset Allocation strategy.
5. Asset Allocation strategy matching method according to claim 1, it is characterized in that, described method also comprises:
Safeguard large class Asset Type;
Maintenance customer's risk tolerance;
Queries asset collocation strategy;
Inquire about publishing policy;
Create Asset Allocation strategy.
6. Asset Allocation strategy matching method according to claim 5, is characterized in that, described establishment Asset Allocation strategy comprises:
Create if Asset Allocation strategy is wealth private portion, then after described Asset Allocation strategy creates, prompting wealth consultant supervisor carries out examination & verification and issues in bank inside, wealth consultant supervisor after described Asset Allocation strategy is issued in bank's internal check, if examination & verification is not passed through, prompting wealth consultant supervisor updates described Asset Allocation strategy, if examination & verification is passed through, then determine that described Asset Allocation strategy creates successfully, and described Asset Allocation strategy is deposited in Asset Allocation policy library, to inquire about;
Or, create if Asset Allocation strategy is individual portion, then after described Asset Allocation strategy creates, point out and carry out examination & verification issue through investment portfolio supervisor in bank inside, handle after described Asset Allocation strategy is issued in bank's internal check in investment portfolio, if examination & verification is not passed through, prompting investment portfolio is handled and is updated described Asset Allocation strategy, if examination & verification is passed through, then determine that described Asset Allocation strategy creates successfully, and described Asset Allocation strategy is deposited in Asset Allocation policy library, to inquire about.
7. an Asset Allocation strategy matching device, is characterized in that, comprising:
Limit value determination module, for determining loss amplitude limit value and the profit degree limit value of user;
Portfolio yield and stability bandwidth determination module, for for each candidate's Asset Allocation strategy, determine portfolio yield and the combination stability bandwidth of each candidate's Asset Allocation strategy;
Probability determination module, for according to the portfolio yield of each candidate's Asset Allocation strategy and combination stability bandwidth, determine that the loss amplitude of each candidate's Asset Allocation strategy is greater than the probability of described loss amplitude limit value, and profit degree is greater than the probability of profit degree limit value;
Target strategy determination module, for from candidate's Asset Allocation strategy, chooses loss amplitude and is greater than the probability that the probability of described loss amplitude limit value and profit degree be greater than profit degree limit value, meet the desired asset collocation strategy of predetermined probability condition;
Recommending module, for recommending user by described desired asset collocation strategy.
8. Asset Allocation strategy matching device according to claim 7, is characterized in that, described portfolio yield and stability bandwidth determination module comprise:
Portfolio yield computing unit, for according to formula
determine the portfolio yield of candidate's Asset Allocation strategy, wherein, R
pfor portfolio yield, X
ifor the allocation ratio of the i-th class assets in candidate's Asset Allocation strategy, r
ifor the historical return of the i-th class assets in candidate's Asset Allocation strategy;
Combination stability bandwidth computing unit, for according to formula
determine the combination stability bandwidth of candidate's Asset Allocation strategy, wherein, σ
pfor combination stability bandwidth, Cov (i, j) is the covariance between the i-th class assets and jth class assets, X
jfor the allocation ratio of jth class assets in candidate's Asset Allocation strategy.
9. Asset Allocation strategy matching device according to claim 8, is characterized in that, described probability determination module comprises:
Probability determination performance element, if for the normal distribution that to meet with historical return and Historic Volatility be parameter of candidate's Asset Allocation strategy, then according to cumulative distribution function, with the portfolio yield of each candidate's Asset Allocation strategy and combination stability bandwidth, determine that the loss amplitude of each candidate's Asset Allocation strategy in described normal distribution is greater than probability F (a)=P (K≤a), and profit degree is greater than probability F (the b)=1-P (K < b) of profit degree limit value of described loss amplitude limit value;
Wherein, the probability of F (a) described loss amplitude limit value for loss amplitude is greater than, F (b) is greater than the probability of profit degree limit value for profit degree, and a is loss amplitude limit value, and b is profit degree limit value, and K represents loss amplitude, and P represents probability.
10. Asset Allocation strategy matching device according to claim 7, is characterized in that, also comprise:
Candidate's Asset Allocation strategy chooses module, for from safeguarded consumer's risk ability to bear, determines the risk tolerance evaluation and test value of user; From announced Asset Allocation strategy, choose and be worth corresponding Asset Allocation strategy to described risk tolerance evaluation and test, by selected Asset Allocation strategy alternatively Asset Allocation strategy.
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