CN115829747A - Estimation model updating method, device, equipment and readable storage medium - Google Patents
Estimation model updating method, device, equipment and readable storage medium Download PDFInfo
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Abstract
The application discloses a method, a device, equipment and a readable storage medium for updating an estimation model. The updating method of the estimation model comprises the following steps: obtaining an estimation model to be updated and a model updating sample, wherein the model updating sample comprises estimation reference data of a financial product and a target estimation range of the financial product; inputting the valuation reference data of the financial product into the valuation model to obtain the valuation result of the valuation model to the financial product; when the estimation result of the estimation model on the financial product does not meet the target estimation range, acquiring target calculation process information of estimation calculation corresponding to the target estimation range; and adjusting the estimation model according to the target calculation process information until the estimation result generated by the adjusted estimation model meets the target estimation range to obtain the target estimation model. According to the embodiment of the application, the updating difficulty of the valuation model can be reduced, and the updating process of the valuation model is simplified.
Description
Technical Field
The present application belongs to the field of financial product valuation, and in particular, to a method, an apparatus, a device, and a readable storage medium for updating a valuation model.
Background
With the rapid development of computer technology and information technology, the estimation of a large number of financial products can be replaced by a professional pricing estimation model. At present, most of the financial products adopt an informationized financial product estimation model when pricing estimation is carried out.
In the using process of the valuation system, the iteration of the financial market business causes the situation that the original valuation model cannot reflect the real value of the financial product, and the valuation accuracy rate is reduced. Due to the continuous development of financial market business, the types of financial products needing to be evaluated are more and more, and the related evaluation model is more and more complex, which brings difficulties to updating the evaluation model, so that the process of updating the evaluation model needs to be simplified urgently.
Disclosure of Invention
The embodiment of the application provides an updating method, an updating device, an updating apparatus and a readable storage medium of an estimation model, which can reduce the updating difficulty of the estimation model and simplify the updating process of the estimation model.
In a first aspect, an embodiment of the present application provides an updating method of an estimation model, including:
obtaining an estimation model to be updated and a model updating sample, wherein the model updating sample comprises estimation reference data of a financial product and a target estimation range of the financial product;
inputting the valuation reference data of the financial product into the valuation model to obtain the valuation result of the valuation model to the financial product;
when the estimation result of the estimation model on the financial product does not meet the target estimation range, acquiring target calculation process information of estimation calculation corresponding to the target estimation range;
and adjusting the valuation model according to the target calculation process information until the generated valuation result of the adjusted valuation model meets the target valuation range, thereby obtaining the target valuation model.
In some implementations of the first aspect, the target computing process information includes one or more of the following target computing models: risk factor processing model, interpolation model constructed by curve, cash flow discount model and option pricing model.
In some implementations of the first aspect, the evaluation reference data comprises at least one of the following parametric data: market data, transaction data, and market configuration data associated with the preset date.
In some implementations of the first aspect, adjusting the estimation model according to the target calculation process information until a generated estimation result of the adjusted estimation model satisfies a target estimation range to obtain the target estimation model includes:
obtaining an output result of each calculation model in at least one calculation model included in the estimation model;
comparing target output results of the target calculation models corresponding to each calculation model in the target calculation process information;
corresponding to each calculation model, adjusting the estimation model according to the output result and the target output result to obtain an adjusted estimation model;
and obtaining the estimation result of the adjusted estimation model on the financial product, and obtaining the target estimation model under the condition that the estimation result of the adjusted estimation model on the financial product meets the target estimation range.
In some implementations of the first aspect, adjusting, for each calculation model, an estimation model according to the output result and the target output result to obtain an adjusted estimation model includes:
and adjusting model parameters and/or estimation reference data sources in the calculation models corresponding to each calculation model, so that the input and output results of the adjusted calculation models are consistent with the output result of the target calculation model.
In a second aspect, an embodiment of the present application provides an apparatus for updating an estimation model, including:
the system comprises an acquisition module, a comparison module and a processing module, wherein the acquisition module is used for acquiring an estimation model to be updated and a model update sample, and the model update sample comprises estimation reference data of a financial product and a target estimation range of the financial product;
the processing module is used for inputting the valuation reference data of the financial product into the valuation model and obtaining the valuation result of the valuation model on the financial product;
the acquisition module is also used for acquiring target calculation process information of estimation calculation corresponding to the target estimation range when the estimation result of the estimation model on the financial product does not meet the target estimation range;
and the processing module is also used for adjusting the estimation model according to the target calculation process information until the estimation result generated by the adjusted estimation model meets the target estimation range to obtain the target estimation model.
In some implementations of the second aspect, the target computational process information includes one or more of the following target computational models: a risk factor processing model, a curve-constructed interpolation model, a cash flow discount model and an option pricing model.
In some realizations of the second aspect, the evaluation reference data includes at least one of the following parametric data: market data, transaction data, and market configuration data associated with the preset date.
In a third aspect, the present application provides an electronic device, comprising: a processor and a memory storing computer program instructions; the processor, when executing the computer program instructions, implements the method for updating an estimation model of the first aspect or any of the realizable forms of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, on which computer program instructions are stored, and when executed by a processor, the computer program instructions implement the method for updating an estimation model according to the first aspect or any one of the realizable manners of the first aspect.
In a fifth aspect, the present application provides a computer program product, where instructions of the computer program product, when executed by a processor of an electronic device, cause the electronic device to perform an update method of an estimation model as described in the first aspect or any implementable manner of the first aspect.
According to the method, the device, the equipment and the readable storage medium for updating the valuation model, the valuation model to be updated is detected through the model updating sample, and the valuation result of the valuation model on the financial product is obtained by inputting the valuation reference data of the financial product into the valuation model. When the estimation result of the estimation model on the financial product does not meet the target estimation range, target calculation process information of estimation calculation corresponding to the target estimation range is obtained in a combined manner; and adjusting the valuation model according to the target calculation process information until the generated valuation result of the adjusted valuation model meets the target valuation range, thereby obtaining the target valuation model. According to the embodiment of the application, in the process of adjusting the estimation model, the steps of the estimation model and the related parameters can be analyzed whether to have deviation or not by combining the target calculation process information, so that the interaction between technicians and service personnel can be reduced, the communication cost is reduced, and the iteration efficiency of the estimation model is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart illustrating a method for updating an estimation model according to an embodiment of the present application;
FIG. 2 is a schematic structural diagram of an apparatus for updating an estimation model according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Features of various aspects and exemplary embodiments of the present application will be described in detail below, and in order to make objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are intended to be illustrative only and are not intended to be limiting. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present application by illustrating examples thereof.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising 8230; \8230;" comprises 8230; "does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone.
With the rapid development of computer technology and information technology, the estimation of a large number of financial products can be replaced by a professional pricing estimation model. At present, most of the financial products adopt an informationized financial product estimation model when pricing estimation is carried out.
In the using process of the valuation system, the iteration of the financial market business can cause the situation that the original valuation model can not reflect the real value of the financial product, so that the valuation accuracy rate is reduced. Due to the continuous development of financial market business, the types of financial products needing to be evaluated are more and more, and the related evaluation model is more and more complex, which brings difficulties to updating the evaluation model, so that the process of updating the evaluation model needs to be simplified urgently.
In view of the above, embodiments of the present application provide an updating method, an updating device, an updating apparatus, and a readable storage medium for an estimation model, which can reduce the updating difficulty of the estimation model and simplify the updating process of the estimation model.
It should be noted that, in the embodiments of the present application, the acquisition, storage, use, processing, etc. of data all conform to relevant regulations of national laws and regulations.
Fig. 1 is a flowchart illustrating an updating method of an estimation model according to an embodiment of the present application. As shown in fig. 1, the method may include the steps of:
Wherein the model update sample includes estimate reference data of the financial product and a target estimate range of the financial product.
And step 120, inputting the estimation reference data of the financial product into the estimation model to obtain the estimation result of the estimation model on the financial product.
And step 130, when the estimation result of the estimation model on the financial product does not meet the target estimation range, acquiring target calculation process information of estimation calculation corresponding to the target estimation range.
And step 140, adjusting the estimation model according to the target calculation process information until the estimation result generated by the adjusted estimation model meets the target estimation range to obtain the target estimation model.
Specifically, the frequency of updating of the estimation model may be set in advance, for example, one quarter, one half year, one year, or the like as one update period. And is not particularly limited herein. Alternatively, the update frequency of the valuation model can be determined based on the speed of the iteration of the financial market business to ensure the accuracy of the valuation model reflecting the value of the financial product.
The model update samples may be used to check whether the valuation model needs to be updated. Alternatively, the model update sample may use information related to an existing financial product, for example, valuation reference data of the financial product. The evaluation reference data includes at least one of the following parameter data: market data, transaction data, and market configuration data associated with the preset date.
Specifically, the preset date may be a date on which the actual value is determined for the selected financial product. Market data associated with the preset log, such as market data affecting the value of the financial product, specifically, interest rate, exchange rate, and the like; the transaction data is usually stable, and specific numerical values can be set; market configuration data such as: the profile configuration, the term, and the like, are not particularly limited herein.
In some embodiments, a target valuation range for a financial product may be determined based on the actual value of an existing financial product. Alternatively, the financial products are, for example: foreign exchange is on-term, long-term and off-term; interest rate swap, currency swap, bond, etc., and one or more of them are also selected as evaluation reference data. In some embodiments, the estimation reference data of the financial product is input into the estimation model, and the estimation result of the financial product by the estimation model can be obtained.
In some embodiments, the target computing process information includes one or more of the following target computing models: a risk factor processing model, a curve-constructed interpolation model, a cash flow discount model and an option pricing model (BS model). Through the comparison analysis of the calculation model related to each calculation step of the estimation model and the target calculation model related to the target calculation process information, the steps of the estimation model and whether the related parameters have deviation or not can be known, and therefore whether the bottom layer calculation model related to the estimation calculation model needs to be adjusted or not can be conveniently determined. Therefore, the influence of the bottom layer calculation model involved in the estimation model on the estimation result can be fully understood.
According to the embodiment of the application, in the process of adjusting the estimation model, the steps of the estimation model and the related parameters can be analyzed whether to have deviation or not by combining the target calculation process information, so that the interaction between technicians and service personnel can be reduced, the communication cost is reduced, and the iteration efficiency of the estimation model is improved.
Optionally, the calculation model related to each calculation step of the estimation model may be used as a process factor, and business personnel can know various models related to various financial products in the estimation process, including a risk factor processing model, a curve-constructed interpolation model, a cash flow discount model and the like, and fully know parameters affecting the estimation result in the calculation of each model, so that a specific process factor can be obtained.
In some embodiments, adjusting the estimation model according to the target calculation process information until the estimation result generated by the adjusted estimation model satisfies the target estimation range to obtain the target estimation model, includes: obtaining an output result of each calculation model in at least one calculation model included in the estimation model; comparing target output results of the target calculation models corresponding to each calculation model in the target calculation process information; corresponding to each calculation model, adjusting the estimation model according to the output result and the target output result to obtain an adjusted estimation model; and obtaining the estimation result of the adjusted estimation model on the financial product, and obtaining the target estimation model under the condition that the estimation result of the adjusted estimation model on the financial product meets the target estimation range.
In some embodiments, adjusting, corresponding to each calculation model, an estimation model according to the output result and the target output result to obtain an adjusted estimation model may specifically include: and adjusting model parameters and/or estimation reference data sources in the calculation models corresponding to each calculation model, so that the input and output results of the adjusted calculation models are consistent with the output result of the target calculation model.
Optionally, in the comparative analysis process, a Python Excel verification function may be selected, so that the repeated work may be reduced.
According to the method and the device, the valuation model to be updated is detected through the model updating sample, and the valuation result of the valuation model on the financial product is obtained by inputting the valuation reference data of the financial product into the valuation model. When the estimation result of the estimation model on the financial product does not meet the target estimation range, target calculation process information of estimation calculation corresponding to the target estimation range is obtained in a combined manner; and adjusting the estimation model according to the target calculation process information until the estimation result generated by the adjusted estimation model meets the target estimation range to obtain the target estimation model. According to the embodiment of the application, in the process of adjusting the estimation model, the steps of the estimation model and the related parameters can be analyzed whether to have deviation or not by combining the target calculation process information, so that the interaction between technicians and service personnel can be reduced, the communication cost is reduced, and the iteration efficiency of the estimation model is improved.
Based on the same inventive concept, the present application also provides an updating apparatus 200 of an estimation model corresponding to the above updating method of an estimation model. The detailed description is made with reference to fig. 2.
Fig. 2 is a schematic structural diagram of an updating apparatus of an estimation model according to an embodiment of the present application, and as shown in fig. 2, the updating apparatus 200 of the estimation model may include: a sending module 210 and a processing module 220.
An obtaining module 210, configured to obtain an estimation model to be updated and a model update sample, where the model update sample includes estimation reference data of a financial product and a target estimation range of the financial product;
the processing module is used for inputting the valuation reference data of the financial product into the valuation model and obtaining the valuation result of the valuation model on the financial product;
the obtaining module 210 is further configured to obtain target calculation process information of the valuation calculation corresponding to the target valuation range when the valuation result of the valuation model on the financial product does not meet the target valuation range;
and the processing module is also used for adjusting the estimation model according to the target calculation process information until the estimation result generated by the adjusted estimation model meets the target estimation range to obtain the target estimation model.
In some embodiments, the target computing process information includes one or more of the following target computing models: a risk factor processing model, a curve-constructed interpolation model, a cash flow discount model and an option pricing model.
In some embodiments, the evaluation reference data comprises at least one of the following parametric data: market data, transaction data, and market configuration data associated with the preset date.
In some embodiments, the obtaining module 210 is further configured to obtain an output result of each of at least one calculation model included in the estimation model;
the processing module is also used for comparing target output results of the target calculation models corresponding to each calculation model in the target calculation process information;
the processing module is also used for adjusting the estimation model corresponding to each calculation model according to the output result and the target output result to obtain an adjusted estimation model;
the obtaining module 210 is further configured to obtain an estimation result of the adjusted estimation model for the financial product, and obtain the target estimation model when the estimation result of the adjusted estimation model for the financial product meets the target estimation range.
In some embodiments, the processing module is further configured to adjust model parameters and/or estimation reference data sources in the calculation model corresponding to each calculation model, so that the input and output results of the adjusted calculation model are consistent with the output result of the target calculation model.
It can be understood that the estimation model updating apparatus 200 according to the embodiment of the present application may correspond to an execution main body of the estimation model updating method provided in the embodiment of the present application, and specific details of operations and/or functions of each module/unit of the estimation model updating apparatus 200 may refer to the descriptions of the corresponding parts in the estimation model updating method according to fig. 1 in the embodiment of the present application, and for brevity, no further description is provided here.
And detecting an estimation model to be updated through the model updating sample, and specifically, inputting estimation reference data of the financial product into the estimation model to obtain an estimation result of the estimation model on the financial product. When the valuation result of the valuation model to the financial product does not meet the target valuation range, target calculation process information of valuation calculation corresponding to the target valuation range is obtained in a combined mode; and adjusting the valuation model according to the target calculation process information until the generated valuation result of the adjusted valuation model meets the target valuation range, thereby obtaining the target valuation model. According to the embodiment of the application, in the process of adjusting the estimation model, the steps of the estimation model and the related parameters can be analyzed whether to have deviation or not by combining the target calculation process information, so that the interaction between technicians and service personnel can be reduced, the communication cost is reduced, and the iteration efficiency of the estimation model is improved.
Fig. 3 shows a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 3, the apparatus may include a processor 301 and a memory 302 storing computer program instructions.
Specifically, the processor 301 may include a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement the embodiments of the present Application.
The memory may include Read Only Memory (ROM), random Access Memory (RAM), magnetic disk storage media devices, optical storage media devices, flash memory devices, electrical, optical, or other physical/tangible memory storage devices. Thus, in general, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software comprising computer-executable instructions and when the software is executed (e.g., by one or more processors), it is operable to perform operations described with reference to the methods according to an aspect of the present disclosure.
The processor 301 reads and executes the computer program instructions stored in the memory 302 to implement the method described in the embodiment of the present application, and achieve the corresponding technical effects achieved by executing the method in the embodiment of the present application, which are not described herein again for brevity.
In one example, the electronic device may also include a communication interface 303 and a bus 310. As shown in fig. 3, the processor 301, the memory 302, and the communication interface 303 are connected via a bus 310 to complete communication therebetween.
The communication interface 303 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiment of the present application.
The electronic device can execute the updating method of the estimation model in the embodiment of the present application, thereby achieving the corresponding technical effects of the updating method of the estimation model described in the embodiment of the present application.
In addition, in combination with the updating method of the estimation model in the above embodiments, the embodiments of the present application may be implemented by providing a readable storage medium. The readable storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement the method of updating an estimation model of any of the above embodiments. Examples of a readable storage medium may be a non-transitory machine-readable medium, such as an electronic circuit, a semiconductor Memory device, a Read-Only Memory (ROM), a floppy disk, a Compact Disc Read-Only Memory (CD-ROM), an optical disk, a hard disk, and so forth.
It is to be understood that the present application is not limited to the particular arrangements and instrumentality described above and shown in the attached drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps, after comprehending the spirit of the present application.
The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic Circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the present application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor Memory devices, read-Only memories (ROMs), flash memories, erasable Read-Only memories (EROMs), floppy disks, compact disk Read-Only memories (CD-ROMs), optical disks, hard disks, optical fiber media, radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
Embodiments of the present application further provide a computer-readable storage medium having computer program instructions stored thereon; the computer program instructions, when executed by a processor, implement the method for updating an estimation model provided by the embodiments of the present application.
In addition, in combination with the method, the apparatus, and the readable storage medium for updating the estimation model in the above embodiments, the embodiments of the present application may be implemented by providing a computer program product. The instructions in the computer program product, when executed by a processor of an electronic device, cause the electronic device to perform the method of updating an estimation model of any of the above embodiments.
Aspects of the present disclosure are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware for performing the specified functions or acts, or combinations of special purpose hardware and computer instructions.
As described above, only the specific embodiments of the present application are provided, and it can be clearly understood by those skilled in the art that, for convenience and simplicity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present application, and these modifications or substitutions should be covered within the scope of the present application.
Claims (10)
1. An updating method of an estimation model, comprising:
obtaining an estimation model to be updated and a model updating sample, wherein the model updating sample comprises estimation reference data of a financial product and a target estimation range of the financial product;
inputting the valuation reference data of the financial product into the valuation model to obtain the valuation result of the valuation model on the financial product;
when the estimation result of the estimation model on the financial product does not meet the target estimation range, acquiring target calculation process information of estimation calculation corresponding to the target estimation range;
and adjusting the estimation model according to the target calculation process information until the estimation result generated by the adjusted estimation model meets the target estimation range to obtain the target estimation model.
2. The method of claim 1, wherein the target computing process information includes one or more of the following target computing models: a risk factor processing model, a curve-constructed interpolation model, a cash flow discount model and an option pricing model.
3. The method of claim 1, wherein the estimate reference data comprises at least one of the following parametric data: market data, transaction data, and market configuration data associated with the preset date.
4. The method of claim 2, wherein said adjusting said estimation model according to said target calculation process information until the generated estimation result of said adjusted estimation model satisfies said target estimation range, to obtain a target estimation model, comprises:
obtaining an output result of each calculation model in at least one calculation model included in the estimation model;
comparing target output results of the target calculation models corresponding to the calculation models in the target calculation process information;
corresponding to each calculation model, adjusting the valuation model according to the output result and the target output result to obtain an adjusted valuation model;
and obtaining the estimation result of the adjusted estimation model on the financial product, and obtaining the target estimation model under the condition that the estimation result of the adjusted estimation model on the financial product meets the target estimation range.
5. The method of claim 4, wherein said adjusting said estimation model based on said output result and said target output result for each of said calculation models to obtain an adjusted estimation model comprises:
and adjusting model parameters and/or estimation reference data sources in the calculation models corresponding to each calculation model, so that the input and output results of the adjusted calculation models are consistent with the output result of the target calculation model.
6. An apparatus for updating an estimation model, the apparatus comprising:
the system comprises an acquisition module, a calculation module and a calculation module, wherein the acquisition module is used for acquiring an estimation model to be updated and a model updating sample, and the model updating sample comprises estimation reference data of a financial product and a target estimation range of the financial product;
the processing module is used for inputting the valuation reference data of the financial product into the valuation model and obtaining the valuation result of the valuation model on the financial product;
the obtaining module is further configured to obtain target calculation process information of valuation calculation corresponding to a target valuation range when the valuation result of the valuation model on the financial product does not meet the target valuation range;
the processing module is further configured to adjust the estimation model according to the target calculation process information until an estimation result generated by the adjusted estimation model satisfies the target estimation range, so as to obtain a target estimation model.
7. The apparatus of claim 6, wherein the target computing process information comprises one or more of the following target computing models: a risk factor processing model, a curve-constructed interpolation model, a cash flow discount model and an option pricing model.
8. The apparatus of claim 6, wherein the estimation reference data comprises at least one of the following parameter data: market data, transaction data, and market configuration data associated with the preset date.
9. An electronic device, characterized in that the device comprises: a processor, and a memory storing computer program instructions;
the processor reads and executes the computer program instructions to implement the method of updating an estimation model according to any of claims 1 to 5.
10. A readable storage medium, having stored thereon computer program instructions, which when executed by a processor, implement the method of updating an estimation model according to any one of claims 1 to 5.
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