CN110033376A - A kind of assets management method and device, a kind of calculating equipment and storage medium - Google Patents
A kind of assets management method and device, a kind of calculating equipment and storage medium Download PDFInfo
- Publication number
- CN110033376A CN110033376A CN201811428043.4A CN201811428043A CN110033376A CN 110033376 A CN110033376 A CN 110033376A CN 201811428043 A CN201811428043 A CN 201811428043A CN 110033376 A CN110033376 A CN 110033376A
- Authority
- CN
- China
- Prior art keywords
- assets
- asset allocation
- evaluation result
- allocation scheme
- candidate
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000007726 management method Methods 0.000 title claims abstract description 35
- 238000003860 storage Methods 0.000 title claims abstract description 14
- 238000011156 evaluation Methods 0.000 claims abstract description 185
- 238000000034 method Methods 0.000 claims abstract description 22
- 238000012360 testing method Methods 0.000 claims description 15
- 235000013399 edible fruits Nutrition 0.000 claims description 4
- 238000009826 distribution Methods 0.000 description 13
- 238000004422 calculation algorithm Methods 0.000 description 12
- 230000002068 genetic effect Effects 0.000 description 11
- 108090000623 proteins and genes Proteins 0.000 description 7
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 6
- 210000000349 chromosome Anatomy 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 3
- 238000004590 computer program Methods 0.000 description 3
- 230000014759 maintenance of location Effects 0.000 description 3
- 230000035772 mutation Effects 0.000 description 3
- 238000010187 selection method Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000007115 recruitment Effects 0.000 description 2
- 230000000717 retained effect Effects 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 230000004083 survival effect Effects 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 1
- 229910002056 binary alloy Inorganic materials 0.000 description 1
- 239000000969 carrier Substances 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- 238000002955 isolation Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000006798 recombination Effects 0.000 description 1
- 238000005215 recombination Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/06—Asset management; Financial planning or analysis
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Game Theory and Decision Science (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Operations Research (AREA)
- General Physics & Mathematics (AREA)
- Technology Law (AREA)
- Educational Administration (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
A kind of assets management method and device provided by the present application, a kind of calculating equipment and storage medium, wherein the method includes determining the current asset allocation plan of assets in Assets Pool；In the case where the current asset allocation plan is unsatisfactory for default expectation threshold value, at least one candidate Asset Allocation scheme is generated based on assets in the Assets Pool；In the case where at least one described candidate Asset Allocation scheme is unsatisfactory for the first preset condition, based at least one candidate Asset Allocation scheme described in asset replacement in the Assets Pool, and above-mentioned judgment method is re-executed using at least one updated described candidate Asset Allocation scheme as at least one described candidate Asset Allocation scheme, until candidate Asset Allocation scheme meets the first preset condition；According to determining evaluation metrics, the assets in Assets Pool are carried out with the reasonable disposition of assets automatically, provides the ability of automated intelligent progress property match investment for assets, that is, financial product of pondization running.
Description
Technical field
This application involves the automatic intelligent asset management technical field of computer, in particular to a kind of assets management methods
And device, a kind of calculating equipment and storage medium.
Background technique
Currently, financial institution usually manages the financial product of huge capital scale in asset management field, such as
Fund, asset management plan, bank financing etc., this kind of financial products are in order to maximize running fund in practical operation operation
In, can there be a mode for rolling distribution, the running of fund aggregate, Assets Poolization, the fund of each financial product recruitment can be into
The investment operation of row set, but independent accounting should be carried out between each financial product of requirement of supervision department, need into
The isolation of row risk；Therefore the assets bought in set running are needed to be split into each financial product, and need to guarantee each finance
The investment yield of product is stable and reaches prospective earnings.
Summary of the invention
In view of this, this specification embodiment provides a kind of assets management method and device, a kind of calculating equipment and deposits
Storage media, to solve technological deficiency existing in the prior art.
In a first aspect, this specification embodiment discloses a kind of assets management method, comprising:
S2, the current asset allocation plan for determining assets in Assets Pool；
S4, in the case where the current asset allocation plan is unsatisfactory for default expectation threshold value, based in the Assets Pool
Assets generate at least one candidate Asset Allocation scheme；
Whether at least one candidate Asset Allocation scheme described in S6, judgement meets the first preset condition,
If satisfied, then assets in the Assets Pool are configured based on the candidate Asset Allocation scheme,
If not satisfied, then based at least one candidate Asset Allocation scheme described in asset replacement in the Assets Pool, and with
At least one updated described candidate Asset Allocation scheme is re-executed as at least one described candidate Asset Allocation scheme
Step S6.
Second aspect, this specification embodiment disclose a kind of asset management device, comprising:
Current asset allocation plan determining module is configured to determine that the current asset allocation plan of assets in Assets Pool；
Candidate Asset Allocation scheme generation module is configured as being unsatisfactory for default expectation in the current asset allocation plan
In the case where threshold value, at least one candidate Asset Allocation scheme is generated based on assets in the Assets Pool；
Judgment module, is configured as whether at least one described candidate Asset Allocation scheme of judgement meets the first default item
Part,
If satisfied, then assets in the Assets Pool are configured based on the candidate Asset Allocation scheme,
If not satisfied, then based at least one candidate Asset Allocation scheme described in asset replacement in the Assets Pool, and with
At least one updated described candidate Asset Allocation scheme is re-executed as at least one described candidate Asset Allocation scheme
Judgment module.
The third aspect, this specification embodiment disclose a kind of calculating equipment, including memory, processor and are stored in
On reservoir and the computer instruction that can run on a processor, the processor realize that the instruction is processed when executing described instruction
The step of device realizes assets management method as described above when executing.
Fourth aspect, this specification embodiment disclose a kind of computer readable storage medium, are stored with computer and refer to
The step of order, which realizes assets management method as described above when being executed by processor.
A kind of assets management method and device provided by the present application, a kind of calculating equipment and storage medium, wherein the side
Method includes the current asset allocation plan of assets in determining Assets Pool；Default expectation is unsatisfactory in the current asset allocation plan
In the case where threshold value, at least one candidate Asset Allocation scheme is generated based on assets in the Assets Pool；Judgement described at least one
Whether a candidate's Asset Allocation scheme meets the first preset condition, if satisfied, then based on the candidate Asset Allocation scheme to institute
It states assets in Assets Pool to be configured, if not satisfied, then based at least one candidate's money described in asset replacement in the Assets Pool
Allocation plan is produced, and is matched using at least one updated described candidate Asset Allocation scheme as at least one described candidate assets
The scheme of setting re-executes above-mentioned judgment method；Debt maturity structure, expection according to the assets in Assets Pool automatically according to assets
The evaluation metrics of the various dimensions such as income level, risk partiality carry out the reasonable disposition of assets automatically to the assets in Assets Pool, are
Assets, that is, financial product of pondization running provides the ability that automated intelligent carries out property match investment.
Detailed description of the invention
Fig. 1 is a kind of structural block diagram for calculating equipment that this specification one or more embodiment provides；
Fig. 2 is a kind of flow chart for assets management method that this specification one or more embodiment provides；
Fig. 3 is a kind of flow chart for assets management method that this specification one or more embodiment provides；
Fig. 4 is a kind of flow chart for assets management method that this specification one or more embodiment provides；
Fig. 5 is a kind of flow chart for assets management method that this specification one or more embodiment provides；
Fig. 6 is a kind of scoring distribution curve signal for assets management method that this specification one or more embodiment provides
Figure；
Fig. 7 is a kind of structural schematic diagram for asset management device that this specification one or more embodiment provides.
Specific embodiment
Many details are explained in the following description in order to fully understand the application.But the application can be with
Much it is different from other way described herein to implement, those skilled in the art can be without prejudice to the application intension the case where
Under do similar popularization, therefore the application is not limited by following public specific implementation.
The term used in this specification one or more embodiment be only merely for for the purpose of describing particular embodiments,
It is not intended to be limiting this specification one or more embodiment.In this specification one or more embodiment and appended claims
The "an" of singular used in book, " described " and "the" are also intended to including most forms, unless context is clearly
Indicate other meanings.It is also understood that term "and/or" used in this specification one or more embodiment refers to and includes
One or more associated any or all of project listed may combine.
It will be appreciated that though may be retouched using term first, second etc. in this specification one or more embodiment
Various information are stated, but these information should not necessarily be limited by these terms.These terms are only used to for same type of information being distinguished from each other
It opens.For example, first can also be referred to as second, class in the case where not departing from this specification one or more scope of embodiments
As, second can also be referred to as first.Depending on context, word as used in this " if " can be construed to
" ... when " or " when ... " or " in response to determination ".
Firstly, the vocabulary of terms being related to one or more embodiments of the invention explains.
Genetic algorithm: Genetic Algorithm is natural selection and the science of heredity machine for simulating Darwinian evolutionism
The computation model of the biological evolution process of reason is a kind of method by simulating natural evolution process searches optimal solution.Heredity is calculated
Method be since the problem that represents may a population (population) of potential disaggregation start, and a population is then by by base
Because of individual (individual) composition of the certain amount of (gene) coding.Each individual is actually chromosome
(chromosome) entity of feature is had.Main carriers of the chromosome as inhereditary material, i.e., the set of multiple genes, in
It is certain assortment of genes that portion, which shows (i.e. genotype), it determines the external presentation of the shape of individual, as dark hair is characterized in
What certain assortment of genes by controlling this feature in chromosome determined.Therefore, it is needing to realize from phenotype to base at the beginning
Because of mapping, that is, coding work of type.Since the work for copying gene to encode is very complicated, we often simplify, as binary system is compiled
Code after population primary generates, according to the principle of the survival of the fittest and the survival of the fittest, produces more by generation (generation) evolution
Carry out better approximate solution, in every generation, (selection) is selected according to fitness (fitness) size individual in Problem Areas
Individual, and by means of the genetic operator of natural genetics (genetic operators) be combined intersection (crossover) and
It makes a variation (mutation), produces the population for representing new disaggregation.This process will lead to kind of images of a group of characters natural evolution it is the same after
Raw to be more adaptive to environment than former generation for population, the optimum individual in last reign of a dynasty population can be used as by decoding (decoding)
Problem approximate optimal solution.
In this application, a kind of assets management method and device, a kind of calculating equipment and storage medium are provided, below
Embodiment in be described in detail one by one.
Fig. 1 is to show the structural block diagram of the calculating equipment 100 according to one embodiment of this specification.The calculating equipment 100
Component include but is not limited to memory 110 and processor 120.Processor 120 is connected with memory 110 by bus 130,
Database 150 is for saving data.
Calculating equipment 100 further includes access device 140, access device 140 enable calculate equipment 100 via one or
Multiple networks 160 communicate.The example of these networks includes public switched telephone network (PSTN), local area network (LAN), wide area network
(WAN), the combination of the communication network of personal area network (PAN) or such as internet.Access device 140 may include wired or wireless
One or more of any kind of network interface (for example, network interface card (NIC)), such as IEEE802.11 wireless local area
Net (WLAN) wireless interface, worldwide interoperability for microwave accesses (Wi-MAX) interface, Ethernet interface, universal serial bus (USB) connect
Mouth, cellular network interface, blue tooth interface, near-field communication (NFC) interface, etc..
In one embodiment of this specification, unshowned other component in above-mentioned and Fig. 1 of equipment 100 is calculated
It can be connected to each other, such as pass through bus.It should be appreciated that calculating device structure block diagram shown in FIG. 1 is merely for the sake of example
Purpose, rather than the limitation to this specification range.Those skilled in the art can according to need, and increase or replace other portions
Part.
Calculating equipment 100 can be any kind of static or mobile computing device, including mobile computer or mobile meter
Calculate equipment (for example, tablet computer, personal digital assistant, laptop computer, notebook computer, net book etc.), movement
Phone (for example, smart phone), wearable calculating equipment (for example, smartwatch, intelligent glasses etc.) or other kinds of shifting
Dynamic equipment, or the static calculating equipment of such as desktop computer or PC.Calculating equipment 100 can also be mobile or state type
Server.
Wherein, processor 120 can execute the step in method shown in Fig. 2.Fig. 2 is to show according to this specification one in fact
Apply the schematic flow chart of the assets management method of example, including step 202 is to step 210.
Step 202: determining the current asset allocation plan of assets in Assets Pool.
In this specification one or more embodiment, the Assets Pool refers in assets investment management domain, to money pipe meter
Draw, the assets such as fund, finance product cash, the marketable securities held carry out set management of investment, may be implemented in Assets Pool
Assets divide the operation in storehouse automatically.For example, tri- products of finance product B1, B2, B3 are raised in bank A distribution, client's money is raised respectively
Gold 1,000,000,000,2,000,000,000,3,000,000,000.This 6,000,000,000 fund aggregate can be formed Assets Pool by bank A, and be carried out in securities trading market
Assets are bought, it is assumed that have bought assets C1, C2, C3, C4, C5, C6 respectively.Due to each finance product to the earning rates of assets,
Debt time limit, degree of risk are all different, which assets each product needs to configure, and needs to configure how many ratio, are required to certainly
It is dynamic to evaluate suitable Asset Allocation strategy i.e. Asset Allocation scheme, to meet requirement of this finance product to Asset Allocation.
The current asset allocation plan of assets is the current asset configuration strategy of assets in Assets Pool in Assets Pool, can be with
It is interpreted as carrying out configuration recombination to the assets in Assets Pool according to current asset allocation plan, such as is transferred to new assets and either turns
Holding assets out maximize the income of assets in Assets Pool.
Step 204: in the case where the current asset allocation plan is unsatisfactory for default expectation threshold value, being based on the assets
Assets generate at least one candidate Asset Allocation scheme in pond.
In this specification one or more embodiment, default expectation threshold value is unsatisfactory in the current asset allocation plan
In the case of, before generating at least one candidate Asset Allocation scheme based on assets in the Assets Pool, further includes:
Determine whether the current asset allocation plan meets default expectation threshold value.
Referring to Fig. 3, determining whether the current asset allocation plan meets expected expectation threshold value includes step 302 to step
306。
Step 302: determining at least one evaluation metrics of the current asset allocation plan.
In this specification one or more embodiment, the evaluation metrics include but is not limited to debt maturity structure, assets
Term structure, Return on Assets, asset concentration degree, cash vacancy rate etc. specifically need according to assets the selection of evaluation metrics
Assets in pond are determined, and the application is not limited in any way this.
Step 304: the current asset allocation plan being evaluated and tested based at least one described evaluation metrics, and is obtained
First evaluation result.
In this specification one or more embodiment, the current asset is configured based at least one described evaluation metrics
Scheme carries out evaluation and test
The current asset allocation plan is evaluated and tested based on each evaluation metrics, and obtains the current asset
First index evaluation result of the corresponding each evaluation metrics of allocation plan；
Corresponding to each first index evaluation result and each first index evaluation result first is default
Weight is counted, and the first evaluation result is obtained.
In practical application, carrying out evaluation and test to the current asset allocation plan based at least one described evaluation metrics is
True value, desired value or the expected range when each evaluation metrics correspond to current asset allocation plan are calculated, is commented by preset
Point distribution curve determines the score value of each evaluation index, further according to each evaluation metrics weighted value to current asset allocation plan
It is evaluated and tested, obtains final score value.Wherein, the scoring distribution curve can there are many, common are Sigmoid function distribution
Curve, Gaussian function distribution curve, linear distribution curve and log series model curve.Referring to Fig. 6, asked in the score of evaluation metrics
In solution preocess, for example, the scoring solution to Assets Pool earning rate index can choose Gaussian function, wherein Gauss formula such as formula 1
Shown, parameter μ is expected rate in formula 1, and σ is the variance of earning rate, and χ is the practical earning rate calculated of allocation plan, this is high
The value value range that this function calculates is [0,1], then is the score of the evaluation metrics to 100 times of the expansion of this value.Gauss formula
It is as follows:
By taking the evaluation metrics include Return on Assets and cash vacancy rate as an example, refer to based at least one described evaluation and test
Mark carries out evaluation and test to the current asset allocation plan and is described in detail.
The current asset allocation plan is evaluated and tested based on dollar return, preset Return on Assets scoring distribution
Curve ranges are 5%-8%, and when dollar return is 5%, score known to from Return on Assets scoring distribution curve
It is 60；When dollar return is 6%, it is scored at 70；When dollar return is 7%, it is scored at 80；It is in dollar return
When 8%, it is scored at 65.The current asset allocation plan is evaluated and tested based on cash vacancy rate, preset cash vacancy rate
Scoring distribution curve range is 5%-8%, and when cash vacancy rate is 5%, from cash vacancy rate scoring distribution curve
It knows to be scored at 60；When cash vacancy rate is 6%, it is scored at 70；When cash vacancy rate is 7%, it is scored at 80；In cash
When vacancy rate is 8%, it is scored at 65.
The current asset allocation plan is evaluated and tested based on the evaluation metrics dollar return, obtains the assets
Earning rate is 6%, therefore the of the corresponding evaluation metrics dollar return of the available current asset allocation plan
One index evaluation result is 70 points；The current asset allocation plan is commented based on the evaluation metrics cash vacancy rate
It surveys, obtaining the cash vacancy rate is 5%, therefore the corresponding evaluation metrics of the available current asset allocation plan
First index evaluation result of cash vacancy rate be 60 points, preset weighted value be respectively 1,2, then obtain the first evaluation result=
Sum (the score * weighted values of each evaluation metrics)/sum (each evaluation metrics total score * weighted value) * 100=(70*1+60*2)/
(100*1+100*2)。
In practical application, the weighted value of each evaluation metrics is not necessarily fixed value, be also referred to scoring distribution curve into
Mobile state, which solves, to be determined, weighted value can carry out dynamic adjustment according to the scoring event of individual event evaluation metrics, i.e., different evaluation and tests refer to
Mark has different weighted values；In addition, the weighted value of evaluation metrics adaptively adjusts, the weight to part evaluation metrics can be
It is adjusted.For example, when Assets Pool earning rate index score is less than 60 timesharing, weighted value should adjust automatically become larger, in this way
So that when Assets Pool earning rate is in the case where being unsatisfactory for requirement, when calculating overall score, with stronger selectivity, without
This evaluation metrics is covered because the score of other evaluation metrics is high；Key core index lower for score, is being counted
It is necessary to have higher weighted values when calculation overall score, to determine the overall score i.e. height of the first index evaluation result；It avoids not
The weighted value for meeting the evaluation metrics of condition is too low without the effect selected.
Step 306: determining whether first evaluation result meets default expectation threshold value.
In this specification one or more embodiment, the default expectation threshold value is configured according to practical application, this Shen
Please this is not limited in any way, such as is set as 90 or 100 etc..
In this specification one or more embodiment, determine that first evaluation result is unsatisfactory for default expectation threshold value, i.e.,
It can be understood as determining that the current asset allocation plan is unsatisfactory for default expectation threshold value.The current asset allocation plan not
In the case where meeting default expectation threshold value, at least one candidate Asset Allocation scheme can be generated based on assets in the Assets Pool
I.e. in the case where first evaluation result is unsatisfactory for default expectation threshold value, at least one is generated based on assets in the Assets Pool
A candidate's Asset Allocation scheme.
Step 206: whether at least one described candidate Asset Allocation scheme of judgement meets the first preset condition,
If satisfied, 208 are thened follow the steps, if not satisfied, thening follow the steps 210.
Step 208: assets in the Assets Pool being configured based on the candidate Asset Allocation scheme.
Step 210: based at least one candidate Asset Allocation scheme described in asset replacement in the Assets Pool, and to update
At least one described candidate Asset Allocation scheme afterwards is re-execute the steps as at least one described candidate Asset Allocation scheme
206。
This specification one is said in multiple embodiments, and whether at least one described candidate Asset Allocation scheme of judgement meets the
One preset condition includes:
At least one described candidate Asset Allocation scheme is evaluated and tested based at least one described evaluation metrics, and is obtained
At least one second evaluation result；
Judge whether at least one described second evaluation result meets the first preset condition.
This specification one is said in multiple embodiments, based at least one described evaluation metrics at least one described candidate
Asset Allocation scheme is evaluated and tested, and is obtained at least one second evaluation result and included:
Index evaluation and test is carried out at least one described candidate Asset Allocation scheme based on each evaluation metrics, and is obtained
Second index evaluation result of the corresponding each evaluation metrics of each candidate Asset Allocation scheme；
Corresponding to each second index evaluation result and each second index evaluation result second is default
Weight is counted, at least one second evaluation result is obtained.
In this specification one or more embodiment, the calculating of second evaluation result can be participated in step 304
For the calculation method of the first evaluation result, details are not described herein.
First preset condition includes but is not limited to the second evaluation and test knot of at least one candidate Asset Allocation scheme
Fruit meets default expectation threshold value and second evaluation result at least one described candidate assets of 20 generations of iteration
Second evaluation result of optimal that allocation plan obtains；Or the second of at least one candidate Asset Allocation scheme is commented
Survey at least one described time that result is unsatisfactory for default expectation threshold value but second evaluation result as 20 generations of iteration
One the second evaluation result of the highest scoring for selecting Asset Allocation scheme to obtain, if iteration 20 times generate described at least one
Second evaluation result of the highest scoring that candidate Asset Allocation scheme obtains is multiple, the then increase the number of iterations being adapted to,
Until can select second evaluation result of highest scoring.Wherein, default for the first preset condition and first
It can be configured according to actual needs in condition about the selection of the number of iterations, the application is not limited in any way this.
In the case where second evaluation result meets the first preset condition, can be evaluated and tested based on optimal one second
As a result corresponding candidate Asset Allocation scheme carries out Asset Allocation to Assets Pool assets.
In this specification one or more embodiment, the assets management method is automatically according to the negative of assets each in Assets Pool
The various dimensions evaluation metrics such as debt term structure, assets term structure, Return on Assets, asset concentration degree, cash vacancy rate, to working as
Preceding Asset Allocation scheme is evaluated and tested, if evaluation result meets default expectation threshold value, can use current asset allocation plan
Property match investment is carried out to the assets in Assets Pool, it, can be to Assets Pool if evaluation result is unsatisfactory for default expectation threshold value
In assets generate new Asset Allocation scheme, in the case where new Asset Allocation scheme meets the first preset condition, use
The property match that new Asset Allocation scheme carries out reasonably stability to assets in Assets Pool is invested, and guarantees return on assets in Assets Pool
Rate is stable and meets expected yield.
In this specification one or more embodiment, at least one candidate Asset Allocation scheme is generated based on the Assets Pool
Include:
Default trade unit based on the assets each in the Assets Pool and each assets, to the assets
Assets carry out configuration and generate at least one candidate Asset Allocation scheme in pond.
It include multiple assets in the Assets Pool, the default trade unit of each assets includes the minimum of each assets
Trade unit is minimum trade share.
Referring to fig. 4, in this specification one or more embodiment, based on each assets in the Assets Pool and often
The default trade unit of a assets carries out configuration to assets in the Assets Pool and generates at least one candidate Asset Allocation side
Case specifically includes step 402 to step 406.
Step 402: the unified just and sound price in market for determining each assets in Assets Pool.
In this specification one or more embodiment, multiple assets can be held in each Assets Pool simultaneously, each assets
Whether the just and sound price in market can be distinguished in open transaction market has the just and sound price in suitable market to be determined, to guarantee assets
The just and sound rationality of prices in market.When calculating the just and sound price in market for having in open market, for example, in debt step in credits row
Fund market data, stock market data in feelings data, Shanghai Stock Exchange are transferred the possession of out in order to avoid carrying out assets between each Assets Pool
The existing conflict of interest, can refer to open market market and fixes a price to each assets.For not having the market in open transaction market
When just and sound price quotations, the internal rate of return (IRR) based on Cash Flow Calculation at a specified future date can be used to carry out the just and sound Price Pricing in market.
In this specification one or more embodiment, the just and sound price in the market for the same asset that each Assets Pool is held is one
It causes, unified, it ensure that the just and sound price in market for the assets that the assets bought in from other assets pond and the Assets Pool produce
Unanimously, it avoids generating excessive price differential profit and loss fluctuation during transaction in assets.
Step 404: determining the surplus capital water level of fund pool, and can be turned based on the surplus capital water level and Assets Pool
Asset List determines the maximum disposal capital scale of Assets Pool out.
In this specification one or more embodiment, residual water level=Assets Pool recruitment fund-money of the fund pool
Expenditure-Assets Pool that assets are bought in production pond sells various tranaction costs and management that the obtained inflow-Assets Pool of assets is paid
Service charge.It is the asset data that Assets Pool is currently held that the Assets Pool, which can produce Asset List, including in Assets Pool often
The information such as the default trade units of a assets, the just and sound price in market of each assets.The maximum disposal capital scale of fund pool
=Assets Pool surplus capital water level+default just and sound the price in the market trade unit *.
Wherein, the default trade unit is to assets according to the minimum transaction holding ratio and being split in Assets Pool
Unit is minimum trade unit share=MAX (assets hold total share * fixed proportion, fixed minimum cardinality share), so that money
Producing the share produced can trade according to minimum trade unit.Such as the identical money that all Assets Pools are held is produced every time
The 5% of the asset share of production, and asset share is produced every time not less than 10,000 parts.Assets are limited according to minimum trade unit
It is fixed, discrete values can be translated into, the solving speed of iteration optimal solution is greatly reduced.
Step 406: using the maximum disposal capital scale of the Assets Pool as the fund upper limit, based on every in the Assets Pool
The default trade unit of a assets and each assets carries out configuration to assets in the Assets Pool and generates at least one
A candidate's Asset Allocation scheme.
I.e. in the case where guaranteeing fund pool not cash advance transactions, with the assets each in the Assets Pool and each institute
The default trade unit for stating assets is independent variable, is generated a variety of for candidate Asset Allocation scheme to be selected.
It is with the assets each in the Assets Pool and each described if assets include assets A, B, C in Assets Pool
The default trade unit of assets be independent variable, generate it is a variety of for candidate Asset Allocation scheme to be selected i.e. according to each assets pair
The default trade unit answered carries out permutation and combination to assets A, B, C, and generating new permutation and combination is that the candidate assets generated are matched
It sets in scheme, such as first candidate Asset Allocation scheme, the default trade unit of assets A is the default friendship of 10,000 parts, assets B
Easy unit is 20,000 parts, the default trade unit of assets C is 20,000 parts；In second candidate Asset Allocation scheme, assets A's is default
Trade unit is 20,000 parts, the default trade unit of assets B is 1.3 ten thousand parts, the default trade unit of assets C is 1.5 ten thousand parts etc.,
Gene coding is carried out to described assets A, B, C and corresponding default trade unit using the method for genetic algorithm iterative solution,
It is intersected, is made a variation, to generate new candidate Asset Allocation scheme.In actual use, to obtained candidate assets
Allocation plan evaluates and tests each evaluation metrics according to evaluation metrics, and calculates the second evaluation result according to above-described embodiment, right
The self-adaptive estimation that obtained candidate Asset Allocation scheme carries out, score higher person its easier be retained to next iteration
In, so that optimal solution gradually tends to restrain, and in order to make genetic algorithm that there is faster convergence, it can choose essence
English retention strategy and algorithm of tournament selection method strategy, brush choosing, which retains, has the i.e. candidate assets of the candidate Asset Allocation scheme of excellent characteristics
The higher second evaluation result of allocation plan the easier to be retained, and in limited iterative solution number, obtains optimal candidate
Asset Allocation scheme.
In this specification one or more embodiment, the assets management method carries out successive ignition using genetic algorithm,
Intersect mutation based on the default trade unit of the assets each in the Assets Pool and each assets and generates the next generation
Candidate Asset Allocation scheme, and Fitness analysis is carried out to its candidate Asset Allocation scheme by evaluation metrics, it can be default
Finite iteration number in make solve tend to restrain, obtain optimal solution candidate Asset Allocation scheme, greatly improve work effect
Rate.
Referring to Fig. 5, this specification one or more embodiment provides a kind of assets management method, including step 502 to
Step 526.
Step 502: determining the current asset allocation plan of assets in Assets Pool.
Step 504: determining at least one evaluation metrics of the current asset allocation plan.
Step 506: the current asset allocation plan being evaluated and tested based at least one described evaluation metrics, and is obtained
First evaluation result.
Step 508: judging whether first evaluation result meets default expectation threshold value, if satisfied, thening follow the steps
510, if not satisfied, thening follow the steps 512.
Step 510: assets in Assets Pool being configured using current asset allocation plan.
Step 512: the unified just and sound price in market for determining each assets in Assets Pool.
Step 514: determining the surplus capital water level of fund pool, and can be turned based on the surplus capital water level and Assets Pool
Asset List determines the maximum disposal capital scale of Assets Pool out.
Step 516: using the maximum disposal capital scale of the Assets Pool as the fund upper limit, based on every in the Assets Pool
The default trade unit of a assets and each assets carries out configuration to assets in the Assets Pool and generates at least one
A candidate's Asset Allocation scheme.
Step 518: at least one described candidate Asset Allocation scheme being commented based at least one described evaluation metrics
It surveys, and obtains at least one second evaluation result.
In this specification one or more embodiment, candidate's Asset Allocation scheme is using elite in genetic algorithm
Retention strategy or algorithm of tournament selection method to the candidate Asset Allocation scheme of generation carry out that brush choosing retains with excellent characteristics
Candidate Asset Allocation scheme.I.e. in practical application, the candidate allocation plan that each iteration generates have it is multiple, but in order to reduce repeatedly
Generation number improves working efficiency, and each iteration then can be using elite retention strategy in genetic algorithm or the selection of algorithm of tournament selection method
The candidate Asset Allocation scheme in either preceding 300 of the second evaluation result is optimal in the candidate Asset Allocation scheme of generation preceding 100,
Wherein, the quantity of the candidate Asset Allocation scheme of specific choice can be determined according to the actual situation, and the application does not make this
Any restriction.
Step 520: judge whether at least one described second evaluation result meets the first preset condition,
If satisfied, 524 are thened follow the steps, if not satisfied, thening follow the steps 526.
Wherein, first preset condition includes that the second evaluation result of at least one candidate Asset Allocation scheme is full
At least one described candidate Asset Allocation that the default expectation threshold value of foot and second evaluation result generate for iteration 20 times
Second evaluation result of optimal that scheme obtains；Or the second evaluation and test knot of at least one candidate Asset Allocation scheme
Fruit is unsatisfactory for default expectation threshold value but second evaluation result as at least one described candidate's money of 20 generations of iteration
Produce second evaluation result of the highest scoring that allocation plan obtains.
Step 524: with optimal one that at least one candidate Asset Allocation scheme obtains described in iteration 20 times generations
The corresponding candidate Asset Allocation scheme of a second evaluation result is that optimal asset allocation scheme configures assets in Assets Pool.
Step 526: the assets each in the Assets Pool and each assets being preset using genetic algorithm
Trade unit carries out gene coding, is intersected to it, making a variation generates new candidate Asset Allocation scheme, and re-execute the steps
518 to step 526.
In this specification one or more embodiment, the assets management method is using multiple evaluation metrics to Asset Allocation
Scheme is evaluated and tested, and each evaluation metrics have certain adaptivity, and quantitative assessment can be carried out to Asset Allocation scheme,
Judge the earning rate etc. of the running of Assets Pool, selection optimal asset allocation can be sentenced automatically from a variety of candidate Asset Allocation schemes
Scheme without the judgement of human intervention system model, and can carry out successive ignition using genetic algorithm, intersect mutation and generate
Next-generation candidate's Asset Allocation assembled scheme, and Fitness analysis is carried out to it by evaluation metrics, it can be in limited iteration
Make to solve in number and tend to restrain, obtains the candidate assets scheme of optimal solution.
Referring to Fig. 7, this specification one or more embodiment provides a kind of capital management device, comprising:
Current asset allocation plan determining module 702 is configured to determine that the current asset configuration side of assets in Assets Pool
Case；
Candidate Asset Allocation scheme generation module 704 is configured as being unsatisfactory for presetting in the current asset allocation plan
In the case where expectation threshold value, at least one candidate Asset Allocation scheme is generated based on assets in the Assets Pool；
Judgment module 706, it is default whether at least one the candidate Asset Allocation scheme described in judgement that is configured as meets first
Condition, if satisfied, then being configured based on the candidate Asset Allocation scheme to assets in the Assets Pool, if not satisfied, then
Based at least one candidate Asset Allocation scheme described in asset replacement in the Assets Pool, and with it is updated it is described at least one
Candidate Asset Allocation scheme re-executes judgment module as at least one described candidate Asset Allocation scheme.
Optionally, described device further include: evaluation metrics determining module is configured to determine that the current asset configuration side
At least one evaluation metrics of case；
First evaluation result obtains module, is configured as matching the current asset based at least one described evaluation metrics
The scheme of setting is evaluated and tested, and obtains the first evaluation result；
First evaluation result judgment module, is configured to determine that whether first evaluation result meets default expectation threshold
Value.
Optionally, the candidate Asset Allocation scheme generation module 704 is also configured to
In the case where first evaluation result is unsatisfactory for default expectation threshold value, generated based on assets in the Assets Pool
At least one candidate Asset Allocation scheme.
Optionally, the judgment module 704 includes:
Second evaluation result obtains submodule, be configured as based at least one described evaluation metrics to it is described at least one
Candidate Asset Allocation scheme is evaluated and tested, and obtains at least one second evaluation result；
Second evaluation result judging submodule, is configured as judging whether at least one described second evaluation result meets the
One preset condition.
Optionally, the candidate Asset Allocation scheme generation module is also configured to
Default trade unit based on the assets each in the Assets Pool and each assets, to the assets
Assets carry out configuration and generate at least one candidate Asset Allocation scheme in pond.
Optionally, the first evaluation result acquisition module includes:
First index evaluation result obtains submodule, is configured as based on each evaluation metrics to the current asset
Allocation plan is evaluated and tested, and the first index for obtaining the corresponding each evaluation metrics of the current asset allocation plan is commented
Survey result；
First evaluation result determines submodule, is configured as to each first index evaluation result and each described
The corresponding first default weight of first index evaluation result is counted, and the first evaluation result is obtained.
Optionally, the second evaluation result acquisition submodule includes:
Second index evaluation result obtain submodule, be configured as based on each evaluation metrics to it is described at least one
Candidate Asset Allocation scheme carries out index evaluation and test, and obtains the corresponding each evaluation and test of each candidate's Asset Allocation scheme
Second index evaluation result of index；
Second evaluation result determines submodule, is configured as to each second index evaluation result and each described
The corresponding second default weight of second index evaluation result is counted, at least one second evaluation result is obtained.
In this specification one or more embodiment, the asset management device is according to debt phases of assets each in Assets Pool
The various dimensions evaluation metrics such as limit structure, assets term structure, Return on Assets, asset concentration degree, cash vacancy rate, to current money
It produces allocation plan and carries out automatic judgment, if evaluation result meets default expectation threshold value, current asset allocation plan can be used
Property match investment is carried out to the assets in Assets Pool, it, can be to Assets Pool if evaluation result is unsatisfactory for default expectation threshold value
In assets generate new Asset Allocation scheme, in the case where new Asset Allocation scheme meets the first preset condition, use
The property match that new Asset Allocation scheme carries out reasonably stability to assets in Assets Pool is invested, and guarantees return on assets in Assets Pool
Rate is stable and meets expected yield.
One embodiment of the application also provides a kind of computer readable storage medium, is stored with computer instruction, the instruction
The step of assets management method as previously described is realized when being executed by processor.
A kind of exemplary scheme of above-mentioned computer readable storage medium for the present embodiment.It should be noted that this is deposited
The technical solution of storage media and the technical solution of above-mentioned assets management method belong to same design, the technical solution of storage medium
The detail content being not described in detail may refer to the description of the technical solution of above-mentioned assets management method.
It is above-mentioned that this specification specific embodiment is described.Other embodiments are in the scope of the appended claims
It is interior.In some cases, the movement recorded in detail in the claims or step can be come according to the sequence being different from embodiment
It executes and desired result still may be implemented.In addition, process depicted in the drawing not necessarily require show it is specific suitable
Sequence or consecutive order are just able to achieve desired result.In some embodiments, multitasking and parallel processing be also can
With or may be advantageous.
The computer instruction includes computer program code, the computer program code can for source code form,
Object identification code form, executable file or certain intermediate forms etc..The computer-readable medium may include: that can carry institute
State any entity or device, recording medium, USB flash disk, mobile hard disk, magnetic disk, CD, the computer storage of computer program code
Device, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory),
Electric carrier signal, telecommunication signal and software distribution medium etc..It should be noted that the computer-readable medium include it is interior
Increase and decrease appropriate can be carried out according to the requirement made laws in jurisdiction with patent practice by holding, such as in certain jurisdictions of courts
Area does not include electric carrier signal and telecommunication signal according to legislation and patent practice, computer-readable medium.
It should be noted that for the various method embodiments described above, describing for simplicity, therefore, it is stated as a series of
Combination of actions, but those skilled in the art should understand that, the application is not limited by the described action sequence because
According to the application, certain steps can use other sequences or carry out simultaneously.Secondly, those skilled in the art should also know
It knows, the embodiments described in the specification are all preferred embodiments, and related actions and modules might not all be this Shen
It please be necessary.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, it may refer to the associated description of other embodiments.
The application preferred embodiment disclosed above is only intended to help to illustrate the application.There is no detailed for alternative embodiment
All details are described, are not limited the invention to the specific embodiments described.Obviously, according to the content of this specification,
It can make many modifications and variations.These embodiments are chosen and specifically described to this specification, is in order to preferably explain the application
Principle and practical application, so that skilled artisan be enable to better understand and utilize the application.The application is only
It is limited by claims and its full scope and equivalent.
Claims (16)
1. a kind of assets management method characterized by comprising
S2, the current asset allocation plan for determining assets in Assets Pool；
S4, in the case where the current asset allocation plan is unsatisfactory for default expectation threshold value, based on assets in the Assets Pool
Generate at least one candidate Asset Allocation scheme；
Whether at least one candidate Asset Allocation scheme described in S6, judgement meets the first preset condition,
If satisfied, then assets in the Assets Pool are configured based on the candidate Asset Allocation scheme,
If not satisfied, then based at least one candidate Asset Allocation scheme described in asset replacement in the Assets Pool, and to update
At least one described candidate Asset Allocation scheme afterwards is re-execute the steps as at least one described candidate Asset Allocation scheme
S6。
2. the method according to claim 1, wherein determining the current asset configuration before the step S4
Scheme whether meet default expectation threshold value the following steps are included:
Determine at least one evaluation metrics of the current asset allocation plan；
The current asset allocation plan is evaluated and tested based at least one described evaluation metrics, and obtains the first evaluation and test knot
Fruit；
Determine whether first evaluation result meets default expectation threshold value.
3. according to the method described in claim 2, it is characterized in that, being unsatisfactory for default expectation in the current asset allocation plan
In the case where threshold value, generating at least one candidate Asset Allocation scheme based on assets in the Assets Pool includes:
In the case where first evaluation result is unsatisfactory for default expectation threshold value, generated at least based on assets in the Assets Pool
One candidate Asset Allocation scheme.
4. according to the method described in claim 2, it is characterized in that, whether judging at least one described candidate Asset Allocation scheme
Meeting the first preset condition includes:
At least one described candidate Asset Allocation scheme is evaluated and tested based at least one described evaluation metrics, and is obtained at least
One the second evaluation result；
Judge whether at least one described second evaluation result meets the first preset condition.
5. matching the method according to claim 1, wherein generating at least one candidate assets based on the Assets Pool
The scheme of setting includes:
Default trade unit based on the assets each in the Assets Pool and each assets, in the Assets Pool
Assets carry out configuration and generate at least one candidate Asset Allocation scheme.
6. according to the method described in claim 2, it is characterized in that, based at least one described evaluation metrics to the current money
It produces allocation plan to be evaluated and tested, and obtains the first evaluation result and include:
The current asset allocation plan is evaluated and tested based on each evaluation metrics, and obtains the current asset configuration
First index evaluation result of the corresponding each evaluation metrics of scheme；
To each first index evaluation result and the corresponding first default weight of each first index evaluation result
It is counted, obtains the first evaluation result.
7. according to the method described in claim 4, it is characterized in that, based at least one described evaluation metrics to described at least one
A candidate's Asset Allocation scheme is evaluated and tested, and is obtained at least one second evaluation result and included:
Index evaluation and test is carried out at least one described candidate Asset Allocation scheme based on each evaluation metrics, and is obtained each
Second index evaluation result of the corresponding each evaluation metrics of candidate's Asset Allocation scheme；
To each second index evaluation result and the corresponding second default weight of each second index evaluation result
It is counted, obtains at least one second evaluation result.
8. a kind of asset management device characterized by comprising
Current asset allocation plan determining module is configured to determine that the current asset allocation plan of assets in Assets Pool；
Candidate Asset Allocation scheme generation module is configured as being unsatisfactory for default expectation threshold value in the current asset allocation plan
In the case where, at least one candidate Asset Allocation scheme is generated based on assets in the Assets Pool；
Judgment module, is configured as whether at least one described candidate Asset Allocation scheme of judgement meets the first preset condition,
If satisfied, then assets in the Assets Pool are configured based on the candidate Asset Allocation scheme,
If not satisfied, then based at least one candidate Asset Allocation scheme described in asset replacement in the Assets Pool, and to update
At least one described candidate Asset Allocation scheme afterwards re-executes judgement as at least one described candidate Asset Allocation scheme
Module.
9. device according to claim 8, which is characterized in that further include:
Evaluation metrics determining module is configured to determine that at least one evaluation metrics of the current asset allocation plan；
First evaluation result obtains module, is configured as based at least one described evaluation metrics to the current asset configuration side
Case is evaluated and tested, and obtains the first evaluation result；
First evaluation result judgment module, is configured to determine that whether first evaluation result meets default expectation threshold value.
10. device according to claim 9, which is characterized in that candidate's Asset Allocation scheme generation module is also matched
It is set to:
In the case where first evaluation result is unsatisfactory for default expectation threshold value, generated at least based on assets in the Assets Pool
One candidate Asset Allocation scheme.
11. device according to claim 9, which is characterized in that the judgment module includes:
Second evaluation result obtains submodule, is configured as based at least one described evaluation metrics at least one described candidate
Asset Allocation scheme is evaluated and tested, and obtains at least one second evaluation result；
Second evaluation result judging submodule is configured as judging whether at least one described second evaluation result meets first in advance
If condition.
12. device according to claim 8, which is characterized in that candidate's Asset Allocation scheme generation module is also matched
It is set to:
Default trade unit based on the assets each in the Assets Pool and each assets, in the Assets Pool
Assets carry out configuration and generate at least one candidate Asset Allocation scheme.
13. device according to claim 9, which is characterized in that first evaluation result obtains module and includes:
First index evaluation result obtains submodule, is configured as configuring the current asset based on each evaluation metrics
Scheme is evaluated and tested, and obtains the first index evaluation and test knot of the corresponding each evaluation metrics of the current asset allocation plan
Fruit；
First evaluation result determines submodule, is configured as to each first index evaluation result and each described first
The corresponding first default weight of index evaluation result is counted, and the first evaluation result is obtained.
14. device according to claim 11, which is characterized in that second evaluation result obtains submodule and includes:
Second index evaluation result obtains submodule, is configured as based on each evaluation metrics at least one described candidate
Asset Allocation scheme carries out index evaluation and test, and obtains the corresponding each evaluation metrics of each candidate's Asset Allocation scheme
The second index evaluation result；
Second evaluation result determines submodule, is configured as to each second index evaluation result and each described second
The corresponding second default weight of index evaluation result is counted, at least one second evaluation result is obtained.
15. a kind of calculating equipment including memory, processor and stores the calculating that can be run on a memory and on a processor
Machine instruction, which is characterized in that the processor is realized when executing described instruction realizes that right the is wanted when instruction is executed by processor
The step of seeking 1-7 any one the method.
16. a kind of computer readable storage medium, is stored with computer instruction, which is characterized in that the instruction is held by processor
The step of claim 1-7 any one the method is realized when row.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811428043.4A CN110033376A (en) | 2018-11-27 | 2018-11-27 | A kind of assets management method and device, a kind of calculating equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811428043.4A CN110033376A (en) | 2018-11-27 | 2018-11-27 | A kind of assets management method and device, a kind of calculating equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110033376A true CN110033376A (en) | 2019-07-19 |
Family
ID=67235262
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811428043.4A Pending CN110033376A (en) | 2018-11-27 | 2018-11-27 | A kind of assets management method and device, a kind of calculating equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110033376A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110751551A (en) * | 2019-10-16 | 2020-02-04 | 深圳前海环融联易信息科技服务有限公司 | Intelligent matching method and device for financing scheme, computer equipment and storage medium |
| CN113269414A (en) * | 2021-05-10 | 2021-08-17 | 北京同邦卓益科技有限公司 | Data processing method, device, equipment, storage medium and program product |
-
2018
- 2018-11-27 CN CN201811428043.4A patent/CN110033376A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110751551A (en) * | 2019-10-16 | 2020-02-04 | 深圳前海环融联易信息科技服务有限公司 | Intelligent matching method and device for financing scheme, computer equipment and storage medium |
| CN110751551B (en) * | 2019-10-16 | 2023-04-07 | 深圳前海环融联易信息科技服务有限公司 | Intelligent matching method and device for financing scheme, computer equipment and storage medium |
| CN113269414A (en) * | 2021-05-10 | 2021-08-17 | 北京同邦卓益科技有限公司 | Data processing method, device, equipment, storage medium and program product |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20110282806A1 (en) | Method and apparatus for investment allocation | |
| US11972485B2 (en) | Computer implemented method for compiling a portfolio of assets | |
| Yan et al. | Evolving robust GP solutions for hedge fund stock selection in emerging markets | |
| CN108305167A (en) | A kind of foreign currency trade method and system enhancing learning algorithm based on depth | |
| Lu et al. | A clustering-based portfolio strategy incorporating momentum effect and market trend prediction | |
| Mitra et al. | Avoiding the new mediocre: raising long-term growth in the Middle East and Central Asia | |
| CN110033376A (en) | A kind of assets management method and device, a kind of calculating equipment and storage medium | |
| Soam et al. | Multi-objective portfolio optimization and rebalancing using genetic algorithms with local search | |
| CN109919363A (en) | The price expectation method, device and equipment of financial product | |
| Zhou et al. | Selecting valuable stock using genetic algorithm | |
| CN111178580A (en) | Supermarket site selection method based on improved BP neural network | |
| Chan et al. | Genetic algorithms in multi-stage portfolio optimization system | |
| Mańdziuk et al. | Neuro-evolutionary system for FOREX trading | |
| Yu et al. | Multi-attribute portfolio selection with genetic optimization algorithms | |
| Levendovszky et al. | Prediction based–high frequency trading on financial time series | |
| Kanamarlapudi et al. | Classification and Prediction of Financial Datasets Using Genetic Algorithms | |
| Kvalvær et al. | Replicating financial markets using reinforcement learning; an agent based approach | |
| Supriyanto | Comparison of Grid Search and Evolutionary Parameter Optimization with Neural Networks on JCI Stock Price Movements during the Covid 19 | |
| Aloud | Agent-based simulation in finance: design and choices | |
| Herasymovych | Optimizing Acceptance Threshold in Credit Scoring using Reinforcement Learning | |
| Yu et al. | Portfolio optimization using evolutionary algorithms | |
| Lee et al. | Empirical analysis of international trade market using evolutionary multi-agent modeling with game theory | |
| Radak | Synergies, cooperation and syndication in venture capital game, portfolio optimization with genetic algorithms and asset auctions: Essays in finance | |
| Chen et al. | An improved multi-objective genetic model for stock selection with domain knowledge | |
| Wei | Optimal Combination of Currency Assets and Algorithm Simulation under Exchange Rate Risk |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20201012 Address after: Cayman Enterprise Centre, 27 Hospital Road, George Town, Grand Cayman Islands Applicant after: Innovative advanced technology Co.,Ltd. Address before: Cayman Enterprise Centre, 27 Hospital Road, George Town, Grand Cayman Islands Applicant before: Advanced innovation technology Co.,Ltd. Effective date of registration: 20201012 Address after: Cayman Enterprise Centre, 27 Hospital Road, George Town, Grand Cayman Islands Applicant after: Advanced innovation technology Co.,Ltd. Address before: A four-storey 847 mailbox in Grand Cayman Capital Building, British Cayman Islands Applicant before: Alibaba Group Holding Ltd. |
|
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190719 |