CN111402061B - Asset management method and system - Google Patents
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Abstract
The invention discloses an asset management method and system, and relates to the technical field of computers. One embodiment of the method comprises the following steps: acquiring asset data and configuration information; the configuration information is used for defining a product group and a label from a set dimension and defining a structure of a combined tree, wherein the combined tree comprises a combined hierarchy and names of nodes contained in the combined hierarchy; classifying the products of the asset data according to the product group and the tag, and acquiring target data from classification results according to a set screening rule; wherein the target data includes the tag and a corresponding attribute value; and dividing the attribute values into nodes with the same label names corresponding to the attribute values in the combined tree so as to summarize according to the combined hierarchy. According to the embodiment, the asset data is summarized and combined based on the self-defined labels and the combination tree, so that the service requirements can be responded quickly, and the development workload is reduced.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to an asset management method and system.
Background
At present, the import, export and inquiry functions of the outsourcing asset combination are used for managing the outsourcing asset in the asset management business, and multidimensional combination analysis is performed. Specifically, the business personnel imports each asset management plan/outsourcing protocol and the bottom layer warehouse-holding asset into the asset management system according to the designated template and the warehouse-holding date, and then inquires the asset management plan/outsourcing protocol and the bottom layer warehouse-holding asset information through the conditions of asset names, asset codes, asset major classes, asset middle classes, asset minor classes, institutions, warehouse-holding dates and the like. And the service personnel exports the queried result, and performs statistical analysis after manual summarization. The above process needs to be performed manually offline, such as performing a profit and loss analysis and a ranking analysis in a line dimension, an asset class dimension, and an individual asset management in-plan asset dimension.
In the process of implementing the present invention, the inventor finds that at least the following problems exist in the prior art:
the existing asset management system is divided into modules by functional dimensions, namely, the functional design is carried out according to analysis requirements set forth by a service, for example, for three analysis dimension requirements, each analysis dimension needs to be independently developed, when the service needs to adjust the analysis dimension, the development needs to be carried out again, and the online operation cannot be carried out quickly; the existing asset management system is single-layer analysis dimension, has simple analysis function and can not meet the complex business analysis requirement.
Disclosure of Invention
In view of this, the embodiments of the present invention provide an asset management method and system, which can quickly respond to a service requirement and reduce development workload by summarizing and combining asset data based on a custom tag and a combination tree.
To achieve the above object, according to one aspect of an embodiment of the present invention, there is provided an asset management method.
The asset management method of the embodiment of the invention comprises the following steps: acquiring asset data and configuration information; the configuration information is used for defining a product group and a label from a set dimension and defining a structure of a combined tree, wherein the combined tree comprises a combined hierarchy and names of nodes contained in the combined hierarchy; classifying the products of the asset data according to the product group and the tag, and acquiring target data from classification results according to a set screening rule; wherein the target data includes the tag and a corresponding attribute value; and dividing the attribute values into nodes with the same label names corresponding to the attribute values in the combined tree so as to summarize according to the combined hierarchy.
Optionally, the labels include a product label defined from a product dimension and a combination label defined from a combination dimension under the product; classifying the products of the asset data according to the product group and the tag, including: labeling the products of the asset data according to the product label and the combined label; and dividing the products into corresponding product groups according to the labeling result.
Optionally, the tag further includes an asset tag defined from an asset dimension, and the configuration information is further used to define a filter; classifying the products of the asset data according to the product group and the tag, including: labeling the products in the asset data filtered by the filter according to the product label, the combined label and the asset label; and dividing the products into corresponding product groups according to the labeling result.
Optionally, the filtering rule includes a fetch rule and a mapping rule, where the mapping rule is used to map a field value of a specified data field to a reference value; obtaining target data from the classification result according to the set screening rule, including: obtaining basic data from the classification result according to the number taking rule; and mapping the field value of the appointed data field of the basic data by using the mapping rule to obtain target data.
Optionally, the product tag is set according to any one or more of a product mode, a profit characteristic and a product category; the combined label is set according to any one or more of asset class and investment strategy; the asset tag is set by any one or more of an asset industry type and a subject rating.
Optionally, the method further comprises: storing the target data into a position balance table according to the data fields contained in the position balance table; and according to the set time interval, summarizing the position balance of the position balance table into a position balance daily knot table.
Optionally, the method further comprises: and performing performance attribution analysis on the summarized investment portfolios, and decomposing excess returns of the investment portfolios to evaluate the performance of the investment portfolios.
To achieve the above object, according to another aspect of an embodiment of the present invention, there is provided an asset management system.
An asset management system according to an embodiment of the present invention includes: the first acquisition module is used for acquiring asset data and configuration information; the configuration information is used for defining a product group, a label and a structure of a combined tree from a set dimension, wherein the combined tree comprises a combined hierarchy and names of nodes contained in the combined hierarchy; the second acquisition module is used for classifying the products of the asset data according to the product group and the tag and acquiring target data from classification results according to a set screening rule; wherein the target data includes the tag and a corresponding attribute value; and the dividing and summarizing module is used for dividing the attribute values into nodes with the same label names corresponding to the attribute values in the combined tree so as to summarize according to the combined hierarchy.
Optionally, the labels include a product label defined from a product dimension and a combination label defined from a combination dimension under the product; the second obtaining module is further configured to label the product of the asset data according to the product label and the combined label; and dividing the products into corresponding product groups according to the labeling result.
Optionally, the tag further includes an asset tag defined from an asset dimension, and the configuration information is further used to define a filter; the second obtaining module is further configured to label a product in the asset data filtered by using the filter according to the product label, the combined label and the asset label; and dividing the products into corresponding product groups according to the labeling result.
Optionally, the filtering rule includes a fetch rule and a mapping rule, where the mapping rule is used to map a field value of a specified data field to a reference value; the second acquisition module is further used for acquiring basic data from the classification result according to the access rule; and mapping the field value of the appointed data field of the basic data by using the mapping rule to obtain target data.
Optionally, the product tag is set according to any one or more of a product mode, a profit characteristic and a product category; the combined label is set according to any one or more of asset class and investment strategy; the asset tag is set by any one or more of an asset industry type and a subject rating.
Optionally, the apparatus further comprises: the data storage module is used for storing the target data into the position balance table according to the data fields contained in the position balance table; and according to the set time interval, summarizing the position balance of the position balance table into a position balance daily knot table.
Optionally, the apparatus further comprises: and the analysis and evaluation module is used for performing performance attribution analysis on the summarized investment portfolios, decomposing excess returns of the investment portfolios and evaluating the performance of the investment portfolios.
To achieve the above object, according to still another aspect of the embodiments of the present invention, there is provided an electronic device.
An electronic device according to an embodiment of the present invention includes: one or more processors; and the storage device is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors are enabled to realize an asset management method of the embodiment of the invention.
To achieve the above object, according to still another aspect of the embodiments of the present invention, there is provided a computer-readable medium.
A computer readable medium of an embodiment of the present invention has stored thereon a computer program which, when executed by a processor, implements an asset management method of an embodiment of the present invention.
One embodiment of the above invention has the following advantages or benefits: by summarizing and combining asset data based on the self-defined labels and the combination tree, the service requirements can be responded quickly, and the development workload is reduced; through self-defining multi-dimensional labels and combination trees, a multi-dimensional and multi-level investment combination capable of being configured by self is constructed, and the functions of an asset management system are perfected; defining a filter and an asset dimension in the configuration information, so that the asset data meeting the requirements can be conveniently screened, and invalid data can be filtered; target data is screened from the classification result through a custom number taking rule and a mapping rule, so that the adjustment according to service requirements is facilitated, and the development workload is reduced; the investment combination analysis is carried out by taking the combination as the center, so that the multifunction and integration of the combination analysis are realized, and the service requirement is met; and carrying out attribution analysis on the investment combinations, evaluating the combination performance and assisting business decision.
Further effects of the above-described non-conventional alternatives are described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
FIG. 1 is a schematic diagram of the main steps of an asset management method according to an embodiment of the invention;
FIG. 2 is a schematic flow diagram of a method of asset management according to yet another embodiment of the invention;
FIG. 3 is a schematic diagram of the data fields contained in each table in the tag library model of the asset management method according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of the data fields contained in each table in the position balance model of the asset management method according to an embodiment of the invention;
FIG. 5 is a schematic diagram of the data fields contained in each table in the portfolio model of asset management method according to an embodiment of the invention;
FIG. 6 is a schematic flow chart diagram of a method of asset management according to yet another embodiment of the invention;
FIG. 7 is a system deployment architecture diagram of an asset management method according to an embodiment of the invention;
FIG. 8 is a schematic diagram of the primary modules of an asset management system according to an embodiment of the invention;
FIG. 9 is an exemplary system architecture diagram in which embodiments of the present invention may be applied;
Fig. 10 is a schematic structural diagram of a computer device suitable for use in an electronic apparatus to implement an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, in which various details of the embodiments of the present invention are included to facilitate understanding, and are to be considered merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Technical terms related to the present invention are explained below.
Investment combination: is a collection of stocks, bonds, finance-derived products, etc. held by investors or financial institutions. Investors invest funds on different kinds of securities or multiple varieties of the same kind of securities according to a certain proportion, and the scattered investment mode is an investment combination.
Resource management planning: i.e., aggregate asset management plans, are assets of aggregate customers, managed by professional investors (dealer/foundation subsidiaries).
Outside the commission: the fund consignor consigns the funds to an external institution in an agreed manner for an actively managed business model. The goal of this model is to maximize the profit of the consignor under the constraints of the consignment agreement, and the consignor will collect a fixed or floating management fee for the consignor according to the contract offer. Typically, the consignee is a commercial bank, and the consignee as a manager is typically a securities company, a fund sub-company private user, a trust company, an insurance company, or the like.
Position: refers to the number of particular goods, securities, currencies, etc., held or owned by an individual or entity.
FIG. 1 is a schematic diagram of the main steps of an asset management method according to an embodiment of the invention. As shown in fig. 1, the asset management method according to the embodiment of the present invention mainly includes the following steps:
step S101: asset data and configuration information are obtained. Wherein the configuration information is used to define product groups and labels from the set dimension and to define the structure of the composition tree. The product group comprises the same type of products and can be defined according to business requirements; the labels include a product label defined from a product dimension and a combination label defined from a combination dimension under the product; the composition tree includes composition levels and names of nodes contained by each composition level.
The front end imports asset data to the asset management system through the importation function of the valuation table. After the asset management system acquires the asset data and the configuration information set by the developer, the subsequent processing can be performed.
Step S102: and classifying the products of the asset data according to the product group and the label, and acquiring target data from classification results according to the set screening rules. The target data comprises a label and an attribute value corresponding to the label. The filtering rules comprise a fetch rule and a mapping rule, wherein the mapping rule is used for mapping the field value of the specified data field into a reference value.
Labeling each product of the asset data according to the label, and dividing each product into corresponding product groups according to labeling results. And then obtaining basic data from the classification result according to the number-taking rule, and mapping the field value of the specified data field of the basic data by using the mapping rule to obtain the target data.
Step S103: and dividing the attribute values into nodes with the same label names corresponding to the attribute values in the combined tree so as to summarize according to the combined hierarchy. The composition tree includes at least one composition hierarchy, each composition hierarchy includes at least one node, and the node name is the same as the corresponding label name.
And dividing each attribute value of the target data into nodes with the same name as the label in the combination tree, summarizing according to a combination hierarchy to obtain an investment combination, and analyzing based on the investment combination, so that the service requirement can be responded quickly, and the development workload is reduced.
Fig. 2 is a schematic flow diagram of a method of asset management according to yet another embodiment of the invention. As shown in fig. 2, the asset management method according to the embodiment of the present invention mainly includes the following steps:
step S201: configuration information set from a plurality of dimensions is acquired. In the embodiment, flexible configuration information management can be realized from the product dimension, the product subcombination dimension and the asset dimension. It should be noted that the asset dimension is optional. The product labels of the product groups and different products can be customized based on the product dimension; a composition hierarchy (hieracy) and composition labels of the composition tree may be defined based on the under-product composition dimension; filters and asset tags can be customized based on asset dimensions.
The product tags may be set and expanded in product dimensions such as product patterns (e.g., equity open, equity closed), equity features (e.g., non-equity floating equity, equity guaranteed), product categories (e.g., bond and money market instrument categories, trusted financing category financing products, domestic capital market category financing products, structural financing products, off-agency products, other types), and the like.
The portfolio tags can be arranged and expanded in a portfolio dimension of asset classes (e.g., bonds, homonyms, equity class investments, etc.), investment policies (e.g., cash management policies, fixed-ratio portfolio insurance policies, new-stock buying policies, etc.). The fixed proportion combined insurance policy is CPPI policy, and CPPI is named Constant Proportion Portfolio Insurance. Asset tags may be set and extended by asset industry type, subject rating, etc. asset dimensions.
Configuration information constructed based on the above three dimensions is exemplified below.
The four product groups are defined by user, and are net value type, expected income type, open type and closed type. Assuming that the product model of product a is net open, product a is included under the net type product group and the open type product group.
If a portfolio asset is configured under product a, such as asset management plan B, asset management plan B contains stock C1 (industry=finance industry), stock C2 (industry=manufacturing industry), bond D1 (industry=finance industry), bond D2 (industry=manufacturing industry). The filter f1 industry = manufacturing industry, the filter f2 industry = finance industry may be defined for the asset. The processing through the filter F1 may hold the stock C2 and the bond D2 of industry=manufacturing, and the processing through the filter F2 may hold the stock C1 and the bond D1 of industry=finance.
In a preferred embodiment, the product tags, the portfolio tags, and the asset tags may be stored in a tag definition table of a tag library model. The tag library model comprises a tag definition table, a tag library script definition table, a library table access rule table, a configuration rule table, a mapping definition table, a mapping rule table, a tag data result and a tag batch processing data record. Fig. 3 is a schematic diagram of data fields included in each table in a tag library model of an asset management method according to an embodiment of the present invention, where the data fields included in each table are shown in fig. 3.
Step S202: asset data is acquired. The asset data may be obtained by an import function of the valuation table. When a third party financial institution is commissioned to make an investment, the third party financial institution will send the asset management plan/offsite agreement to the commissioned party in the form of an valuation table. The valuation table contains information such as the underlying asset data and the equity of the asset management plan/outsource agreement.
In an embodiment, the asset data includes asset management planning/outsourcing agreements and underlying asset data. The asset management plan/outsource agreement and the underlying asset data include basic data of the asset management plan/outsource agreement, such as asset management plan/outsource agreement unit net value, cost net value, offset amount, period initial net value, yesterday net value, current total number, and the like.
Step S203: classifying the products of the asset data according to the configuration information, and acquiring target data from the classification result according to the set screening rule. The filtering rule is preset and comprises a fetch rule and a mapping rule, wherein the fetch rule is used for limiting the screened data objects, and the mapping rule is used for mapping the field values of the specified data fields into the reference values. In an embodiment, the access rule may be stored in a library table access rule table, and the mapping rule may be stored in a mapping rule table.
In the step, each product in the asset data filtered by using the filter is marked according to the product label, the combined label and the asset label defined in the label definition table to divide each product into corresponding product groups. And then obtaining basic data from the classification result according to the number-taking rule, and mapping the field value of the specified data field of the basic data by using the mapping rule to obtain target data. Where the functionality may be implemented by a tag library model.
In a preferred embodiment, the target data may be obtained by batch processing. The specific implementation of batch processing may be: basic services (such as obtaining target data) are added and configured into a Java batch framework of a commercial bank, and a daily final batch server or a high-frequency batch server processes asset data according to configuration information.
Step S204: and storing the target data into a position balance table, and summarizing the position balance of the position balance table into a position balance daily knot table. And according to the data fields contained in the position balance table, storing the target data as basic analysis data into the position balance table. And (3) summarizing the position balance of the position balance table into a position balance daily knot table according to a set time interval (such as daily).
In the embodiment, the position balance model can process the target data, and the processing result is saved into a position balance table and a position balance daily knot table. The position balance model comprises a position balance subject definition table, a position balance table and a position balance daily knot table. Fig. 4 is a schematic diagram of data fields included in each table in a position balance model of an asset management method according to an embodiment of the present invention, where the data fields included in each table are shown in fig. 4.
Step S205: and dividing the attribute value of the target data into nodes with the same label name corresponding to the attribute value in the combined tree, and summarizing according to a combined hierarchy to obtain the investment combination. The target data includes a tag and an attribute value corresponding to the tag. The composition tree includes a plurality of composition levels and names of nodes contained by each composition level. In an embodiment, the structure of the composition tree can be defined through a composition model, and target data is assigned to leaf nodes of the composition number according to labels for statistical analysis from the bottom layer to the top layer.
Fig. 5 is a schematic diagram of the data fields contained in each table in the portfolio model of the asset management method according to an embodiment of the invention. As shown in FIG. 5, the composition model includes a composition definition, a composition tree structure definition, and a composition tree structure branch definition, each of which contains data fields as shown in the figure.
In addition, the data fields with # marks in fig. 3-5 are technical fields, the data fields without # marks are service fields, and the multi-entity marks, record creation date and time, record modification date and time, local year and month and day, local time and minute and second, last update business day and time stamp in the technical fields are three multi-fields, and are used in multi-law, multi-time zone and multi-language. The data fields are used for recording corresponding information, such as the character physical primary key value.
In connection with the example mentioned in step S201, after the processing of step S202-step S205, if the product group is net and the filter is F1, the investment portfolio is obtained as follows:
net value type
Product A
Resource planning B
Stock C2
Bond D2
If the product group is open and the filter is F2, the resulting portfolio is as follows:
Open type
Product A
Resource planning B
Stock C1
Bond D1
As can be seen from the display results, the embodiment of the invention can build the multi-dimensional and multi-level investment combination based on the labels based on the asset data and the one-level up summary analysis. The subsequent investment combination analysis with the combination as the center can be performed, the multifunction and integration of the combination analysis can be realized, and the calculation of various combination characteristic indexes and risk indexes can be performed on the combination level.
Fig. 6 is a schematic flow chart of an asset management method according to yet another embodiment of the invention. As shown in fig. 6, the asset management method of the embodiment of the present invention can implement an offal analysis function, and can be used in scenes such as dimension analysis, performance analysis, etc. of offal management planning and underlying assets, and mainly includes the following steps:
step S601: and acquiring configuration information generated by configuration according to the product dimension, the product lower combination dimension and the asset dimension. The specific implementation of this step is the same as step S201, and will not be described here again.
Step S602: and cleaning the data of the resource management plan/outsourcing protocol information according to the organization and the coding dimension to obtain outsourcing basic information. After the asset declaration approval passes, the asset management plan/outsourcing protocol information can be extracted from the outsourcing information. Wherein the resource management plan/offboard agreement information includes: the resource management plan code, name, resource management, current total number of outsources, unexpired position, unit net value, cost net value, asset net value, offset amount, initial unit net value, yesterday unit net value, accumulated unit net value, warehouse date, multi-entity identification, record creation time, modification date and time, last updated business day and the like.
The organization refers to the primary hierarchy of the asset management system and the code refers to the code of the asset planning/offsite agreement. Under an organization there is only one encoding of the resource planning/outsourcing agreement. The data cleaning is carried out according to the coding dimension of the organization and the resource management plan/outsourcing protocol, so that the screened outsourcing basic information can be ensured to be stored as a unique identifier according to the organization and the code.
The offerings basic information includes: asset management plan name, code, escrow name, escrow number, industry type, manager name, manager number, transaction amount, management rate, escrow rate, currency, investment consultant institution name, etc.
Step S603: offboard asset and underlying asset data imported through a valuation table is received. The front end imports the offeror asset and underlying asset data to the asset management system through the importation function of the valuation table. The offerings and underlying asset data are asset dimensions, such as one offerings protocol may correspond to multiple assets, such that there may be multiple pieces of data in the offerings and underlying asset data tables.
Step S604: and acquiring main-sub association relationship data from the main-sub resource management plan information. The main resource management plan code and the sub resource management plan code are stored in the main resource management plan information and the sub resource management plan information. The main sub association relationship data includes: master asset management plan code/name, child asset management plan code/name, institution number.
Step S605: and carrying out batch processing on the outsourcing asset and the bottom asset data according to the configuration information, the outsourcing basic information and the main-sub association relation data to obtain target data. And acquiring the asset range (namely target data) to be analyzed by defining each dimension label, the fetch rule and the mapping rule. The specific implementation of the batch process is shown in step S203, and will not be described here again.
Step S606: and storing the target data into a position balance table, and summarizing the position balance of the position balance table into a position balance daily knot table. The specific implementation of this step is the same as that of step S204, and will not be described here again.
Step S605: and dividing the attribute value of the target data into nodes with the same label name corresponding to the attribute value in the combined tree, so as to perform layer-by-layer summarization display on the target data according to the combined hierarchy. Suppose that the delegate manager adds the following 4 resource plans:
resource plan 1, code: 000001, industry type: retail industry, investment strategy: CPPI policy, manager: manager 1, affiliated institution: coastal branching
Resource planning 2, encoding: 000002, industry type: retail industry, investment strategy: CPPI policy, manager: manager 2, affiliated institution: coastal branching
Resource planning 3, encoding: 000003, industry type: manufacturing, investment strategy: updating strategies, and managing people: manager 2, affiliated institution: coastal branching
Resource planning 4, encoding: 000004, industry type: banking industry, investment strategy: stabilization strategies, management: manager 3, affiliated institution: coastal branching
Based on the resource management plan, assuming that a custom product group in the configuration information is a CPPI strategy combination; the defined label and the fetch rule are: tag 1: industry type = retail industry, corresponding CPPI policy combination. The batch processing of step S605 is performed and the result is shown in table 1.
TABLE 1
| Sequence number | Combination name | Resource management planning | Industry type | Investment strategy | Manager person |
| 1 | CPPI policy combination | Resource planning 1 | Retail industry | CPPI strategy | Manager 1 |
| 2 | CPPI policy combination | Resource planning 2 | Retail industry | CPPI strategy | Manager 2 |
Assume that the structure of the defined combining tree is: industry type-investment strategy-manager-resource planning, the results are presented as follows:
Root
retail industry
-CPPI strategy
Managerial personnel 1
Resource planning 1
Manager 2
Resource planning 2
Based on the resource management plan, assuming that the customized product groups in the configuration information are row-by-row combinations; the defined label and the fetch rule are: tag 1: the affiliated mechanism=overseas branches, corresponding to the branch combination. The batch processing of step S605 is performed and the result is shown in table 2.
TABLE 2
Assume that the structure of the defined combining tree is: the results of the branch-investment strategy-resource planning are shown as follows:
Root
-overseas branching
-CPPI strategy
Resource planning 1
Resource planning 2
-a refresh policy
Resource planning 3
-stabilization strategy
Resource planning 4
Root in the display result is the Root node. According to the embodiment, the invention can arbitrarily define the structure of the investment portfolio according to the service requirement, does not need to be redeveloped, and can realize the dynamic construction of the investment portfolio by dimension combination in a label mode. The embodiment of the invention deepens the new rule requirements of the resource management, satisfies the penetration management of the bottom layer asset of the commission, can realize the investment analysis and the performance analysis of the bottom layer asset and assists the business decision. Meanwhile, multi-dimensional and multi-level investment portfolio management is added, and the functions of an asset management system are perfected.
In a preferred embodiment, after the investment portfolio is constructed, the performance attribution analysis can be carried out on the investment portfolio by adopting a Brinson model and a Campsis model, so that the excess returns of the investment portfolio are effectively decomposed, and the accurate assessment of the combined performance is realized.
In another preferred embodiment, calculation and analysis of various combined characteristic indexes and risk indexes on the combined level can be performed on the basis of an index library. The index library comprises weight duty ratio, fluctuation range, profit and loss, market value, concentration degree and the like. And (3) transmitting the combined data as parameters into the designated index by defining the index and an index formula to obtain a return value. For example, the current market value and the initial market value of the combination or the single asset are input into the expansion and fall index= (current market value-initial market value)/initial market value, and the expansion and fall result can be returned.
FIG. 7 is a system deployment architecture diagram of an asset management method according to an embodiment of the invention. As shown in FIG. 7, the asset management method of the embodiment of the invention can be composed of 3 risk trial and analysis servers of 4C16G RHEL X86, KAFKA server of 3 4C16G RHEL X86, day end server of 3 4C16G RHEL X86, high frequency server of 3 4C16G RHEL X86, online server of 3 4C16G RHEL X86, SAN (Storage Area Network) storage of 250G capacity, NAS storage of 1T capacity, risk trial and analysis database server of 2 56C256G-HP Oracle11G-RAC, asset management transaction database server of 2 16C128G-HP Oracle11G-RAC, high frequency dispatch server of 5 4C16G RHEL X86 and switch.
Wherein, 4C16G and 56C256G are the memory card parameters of the server; RHEL X86 is a system parameter of the server; SAN Storage Area Network is a centrally managed high-speed storage network; NAS, network Attached Storage, network attached storage; HP Oracle11g-RAC is the installation environment for the server. The high frequency dispatch server is a Zookeeper cluster shared by the financial markets.
The risk trial-and-analysis server, the KAFKA server, the day end server, the high-frequency server, the online server and the high-frequency dispatch server are connected with the switch through an application service VLAN (Virtual Local Area Network ). The SAN storage and NAS storage are connected to the switch by a data service VLAN. The risk trial calculation and analysis database server and the resource management transaction database server are connected with the switch through an Oracle RAC cluster. RAC is an abbreviation of Real Application Clusters, translated into a real-time application cluster, and is a core technology of the Oracle database supporting grid computing environment.
In the above architecture, the online server is used for acquiring investment portfolios and displaying position data. The day end server is used for processing the asset data and storing the position balance data.
FIG. 8 is a schematic diagram of the primary modules of an asset management system according to an embodiment of the invention. As shown in fig. 8, an asset management system 800 according to an embodiment of the present invention mainly includes:
a first obtaining module 801, configured to obtain asset data and configuration information. Wherein the configuration information is used to define product groups and labels from the set dimension and to define the structure of the composition tree. The product group comprises the same type of products and can be defined according to business requirements; the labels include a product label defined from a product dimension and a combination label defined from a combination dimension under the product; the composition tree includes composition levels and names of nodes contained by each composition level.
The front end imports asset data to the asset management system through the importation function of the valuation table. After the asset management system acquires the asset data and the configuration information set by the developer, the subsequent processing can be performed.
And a second obtaining module 802, configured to classify the products of the asset data according to the product group and the tag, and obtain the target data from the classification result according to the set screening rule. The target data comprises a label and an attribute value corresponding to the label. The filtering rules comprise a fetch rule and a mapping rule, wherein the mapping rule is used for mapping the field value of the specified data field into a reference value.
Labeling each product of the asset data according to the label, and dividing each product into corresponding product groups according to labeling results. And then obtaining basic data from the classification result according to the number-taking rule, and mapping the field value of the specified data field of the basic data by using the mapping rule to obtain the target data.
And a partitioning and summarizing module 803, configured to partition the attribute value into nodes in the tree with the same label names corresponding to the attribute value, so as to summarize according to the combination hierarchy. The composition tree includes at least one composition hierarchy, each composition hierarchy includes at least one node, and the node name is the same as the corresponding label name.
And dividing each attribute value of the target data into nodes with the same name as the label in the combination tree, summarizing according to a combination hierarchy to obtain an investment combination, and analyzing based on the investment combination, so that the service requirement can be responded quickly, and the development workload is reduced.
In addition, the asset management system 800 of the embodiment of the present invention may further include: the data storage module and the analysis and evaluation module. The data storage module is used for storing the target data into the position balance table according to the data fields contained in the position balance table; and summarizing the position balance of the position balance table into a position balance daily knot table according to the set time interval.
And the analysis and evaluation module is used for performing performance attribution analysis on the summarized investment portfolios, decomposing excess returns of the investment portfolios and evaluating the performance of the investment portfolios.
From the above description, it can be seen that by summarizing and combining asset data based on custom tags and a combination tree, service requirements can be responded quickly, and development workload can be reduced.
FIG. 9 illustrates an exemplary system architecture 900 in which an asset management method or asset management system of embodiments of the invention may be applied.
As shown in fig. 9, system architecture 900 may include terminal devices 901, 902, 903, a network 904, and a server 905. The network 904 is the medium used to provide communications links between the terminal devices 901, 902, 903 and the server 905. The network 904 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
A user may interact with the server 905 over the network 904 using the terminal devices 901, 902, 903 to receive or send messages, etc. Various communication client applications may be installed on the terminal devices 901, 902, 903, such as shopping class applications, web browser applications, search class applications, instant messaging tools, mailbox clients, social platform software, and the like.
Terminal devices 901, 902, 903 may be a variety of electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablets, laptop and desktop computers, and the like.
The server 905 may be a server that provides various services, such as a background management server that an administrator handles with the number of assets transmitted by the terminal apparatuses 901, 902, 903. The background management server collects and combines the asset data based on the self-defined labels and the combination tree, and feeds back the processing result (such as investment combination) to the terminal equipment.
It should be noted that, the asset management method provided in the embodiments of the present application is generally performed by the server 905, and accordingly, the asset management system is generally disposed in the server 905.
It should be understood that the number of terminal devices, networks and servers in fig. 9 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
According to an embodiment of the invention, the invention further provides an electronic device and a computer readable medium.
The electronic device of the present invention includes: one or more processors; and the storage device is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors are enabled to realize an asset management method of the embodiment of the invention.
The computer readable medium of the present invention has stored thereon a computer program which, when executed by a processor, implements an asset management method of an embodiment of the present invention.
Referring now to FIG. 10, there is illustrated a schematic diagram of a computer system 1000 suitable for use in implementing an electronic device of an embodiment of the present invention. The electronic device shown in fig. 10 is merely an example, and should not impose any limitation on the functionality and scope of use of embodiments of the present invention.
As shown in fig. 10, the computer system 1000 includes a Central Processing Unit (CPU) 1001, which can execute various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 1002 or a program loaded from a storage section 1008 into a Random Access Memory (RAM) 1003. In the RAM 1003, various programs and data required for the operation of the computer system 1000 are also stored. The CPU 1001, ROM 1002, and RAM 1003 are connected to each other by a bus 1004. An input/output (I/O) interface 1005 is also connected to bus 1004.
The following components are connected to the I/O interface 1005: an input section 1006 including a keyboard, a mouse, and the like; an output portion 1007 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), etc., and a speaker, etc.; a storage portion 1008 including a hard disk or the like; and a communication section 1009 including a network interface card such as a LAN card, a modem, or the like. The communication section 1009 performs communication processing via a network such as the internet. The drive 1010 is also connected to the I/O interface 1005 as needed. A removable medium 1011, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like, is installed as needed in the drive 1010, so that a computer program read out therefrom is installed as needed in the storage section 1008.
In particular, the processes described above in the main step diagrams may be implemented as computer software programs according to the disclosed embodiments of the invention. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the main step diagrams. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 1009, and/or installed from the removable medium 1011. The above-described functions defined in the system of the present invention are performed when the computer program is executed by a Central Processing Unit (CPU) 1001.
The computer readable medium shown in the present invention may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules involved in the embodiments of the present invention may be implemented in software or in hardware. The described modules may also be provided in a processor, for example, as: a processor includes a first acquisition module, a second acquisition module, and a partition summary module. The names of these modules do not constitute a limitation on the module itself in some cases, and for example, the first acquisition module may also be described as "a module that acquires asset data and configuration information".
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be present alone without being fitted into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to include: acquiring asset data and configuration information; the configuration information is used for defining a product group and a label from a set dimension and defining a structure of a combined tree, wherein the combined tree comprises a combined hierarchy and names of nodes contained in the combined hierarchy; classifying the products of the asset data according to the product group and the tag, and acquiring target data from classification results according to a set screening rule; wherein the target data includes the tag and a corresponding attribute value; and dividing the attribute values into nodes with the same label names corresponding to the attribute values in the combined tree so as to summarize according to the combined hierarchy.
According to the technical scheme provided by the embodiment of the invention, the asset data is summarized and combined based on the self-defined label and the combination tree, so that the service requirement can be responded quickly, and the development workload is reduced.
The product can execute the method provided by the embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method. Technical details not described in detail in this embodiment may be found in the methods provided in the embodiments of the present invention.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives can occur depending upon design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (7)
1. An asset management method, comprising:
acquiring asset data and configuration information; the asset data is obtained through an importing function of an evaluation table, the configuration information is used for defining a product group and a label from a set dimension and defining a structure of a combined tree, the set dimension comprises a product dimension, a combination dimension under the product and an asset dimension, and the combined tree comprises a combined hierarchy and names of nodes contained in the combined hierarchy; the configuration information is also used for defining a filter;
Classifying products of the asset data according to the product group and the tag; wherein the tags include a product tag defined from a product dimension, a portfolio tag defined from a portfolio dimension under a product, an asset tag defined from an asset dimension, the process comprising: labeling the products in the asset data filtered by the filter according to the product label, the combined label and the asset label; dividing the products into corresponding product groups according to the labeling result;
the product labels are set according to any one or more of product modes, income characteristics and product categories; the combined label is set according to any one or more of asset class and investment strategy; the asset tag is set according to any one or more of an asset industry type and a subject rating;
acquiring target data from the classification result according to the set screening rule; wherein the target data includes the tag and a corresponding attribute value;
and dividing the attribute values into nodes with the same label names corresponding to the attribute values in the combined tree so as to summarize according to the combined hierarchy.
2. The method of claim 1, wherein the filtering rules include a fetch rule and a mapping rule, the mapping rule being used to map a field value of a specified data field to a reference value;
obtaining target data from the classification result according to the set screening rule, including:
obtaining basic data from the classification result according to the number taking rule;
and mapping the field value of the appointed data field of the basic data by using the mapping rule to obtain target data.
3. The method according to claim 1, wherein the method further comprises:
storing the target data into a position balance table according to the data fields contained in the position balance table;
and according to the set time interval, summarizing the position balance of the position balance table into a position balance daily knot table.
4. The method according to claim 1, wherein the method further comprises:
and performing performance attribution analysis on the summarized investment portfolios, and decomposing excess returns of the investment portfolios to evaluate the performance of the investment portfolios.
5. An asset management system, comprising:
the first acquisition module is used for acquiring asset data and configuration information; the asset data is obtained through an importing function of an evaluation table, the configuration information is used for defining a product group and a label from a set dimension and defining a structure of a combined tree, the set dimension comprises a product dimension, a combination dimension under the product and an asset dimension, and the combined tree comprises a combined hierarchy and names of nodes contained in the combined hierarchy; the configuration information is also used for defining a filter;
The second acquisition module is used for classifying the products of the asset data according to the product group and the tag; wherein the tags include a product tag defined from a product dimension, a portfolio tag defined from a portfolio dimension under a product, an asset tag defined from an asset dimension, the process comprising: labeling the products in the asset data filtered by the filter according to the product label, the combined label and the asset label; dividing the products into corresponding product groups according to the labeling result;
the product labels are set according to any one or more of product modes, income characteristics and product categories; the combined label is set according to any one or more of asset class and investment strategy; the asset tag is set according to any one or more of an asset industry type and a subject rating;
acquiring target data from the classification result according to the set screening rule; wherein the target data includes the tag and a corresponding attribute value;
and the dividing and summarizing module is used for dividing the attribute values into nodes with the same label names corresponding to the attribute values in the combined tree so as to summarize according to the combined hierarchy.
6. An electronic device, comprising:
one or more processors;
storage means for storing one or more programs,
when executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1-4.
7. A computer readable medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any of claims 1-4.
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