CN112581282A - Method, device, electronic equipment and medium for monitoring loss and gain change of estimation result - Google Patents

Method, device, electronic equipment and medium for monitoring loss and gain change of estimation result Download PDF

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CN112581282A
CN112581282A CN202011580291.8A CN202011580291A CN112581282A CN 112581282 A CN112581282 A CN 112581282A CN 202011580291 A CN202011580291 A CN 202011580291A CN 112581282 A CN112581282 A CN 112581282A
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profit
product
estimation
data
loss
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杨佳
陈桂生
何欣莹
胡安东
吴榕鹏
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China Construction Bank Corp
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China Construction Bank Corp
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    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract

The embodiment of the application discloses a method and a device for monitoring profit and loss change of an estimation result, electronic equipment and a medium. The method comprises the following steps: acquiring latest market data and transaction data of a product to be evaluated through a data acquisition interface; the latest market data is the market data with the release time nearest to the current moment; carrying out valuation calculation on the product to be valued according to the latest market data and the transaction data; and comparing the estimation results before the estimation results are posted, and determining the profit and loss change condition. The scheme solves the problem that the service cannot timely master the evaluation result of the system, so that profit and loss changes and the change trend of the evaluation result can be timely determined before the evaluation result is posted.

Description

Method, device, electronic equipment and medium for monitoring loss and gain change of estimation result
Technical Field
The embodiment of the application relates to the technical field of market monitoring, in particular to a method and a device for monitoring profit and loss change of an estimation result, electronic equipment and a medium.
Background
In the financial product valuation process, valuation is carried out on various financial market products every day, the types of the products are various, and meanwhile, market data change has large influence on valuation results. The valuation system performs entry processing on valuation results every day, and the profit and loss results can be compared with the accounting system only after the system enters the valuation results.
The original processing mode can only compare afterwards, and the service cannot timely master the system estimation result. And the overall estimation result variation trend of various products cannot be integrally known.
Disclosure of Invention
The embodiment of the invention provides a method, a device, electronic equipment and a medium for monitoring profit and loss changes of an estimation result, so that the profit and loss changes of the estimation result can be mastered in time before posting.
In an embodiment, an embodiment of the present application provides an estimation result profit-and-loss change monitoring method, including:
acquiring latest market data and transaction data of a product to be evaluated through a data acquisition interface; the latest market data is the market data with the release time nearest to the current moment;
carrying out valuation calculation on the product to be valued according to the latest market data and the transaction data;
and comparing the estimation results before the estimation results are posted, and determining the profit and loss change condition.
In another embodiment, an evaluation result profit-and-loss variation monitoring apparatus is further provided in an embodiment of the present application, and the apparatus includes:
the data acquisition module is used for acquiring the latest market data and transaction data of the product to be evaluated through the data acquisition interface; the latest market data is the market data with the release time nearest to the current moment;
the valuation calculation module is used for carrying out valuation calculation on the product to be valued according to the latest market data and the transaction data;
and the profit and loss change determining module is used for comparing the evaluation results before the evaluation results are posted to determine the profit and loss change condition.
In another embodiment, an embodiment of the present application further provides an electronic device, including: one or more processors;
a memory for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors implement the evaluation result profit-and-loss change monitoring method according to any one of the embodiments of the present application.
In yet another embodiment, the present application further provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the method for monitoring the profit-and-loss variation of estimation result as described in any one of the embodiments of the present application.
In the embodiment of the application, the latest market data and transaction data of a product to be evaluated are acquired through a data acquisition interface; the latest market data is the market data with the release time nearest to the current moment; carrying out valuation calculation on the product to be valued according to the latest market data and the transaction data; and comparing the evaluation results before the evaluation results are posted, and determining the profit and loss change condition, so that the profit and loss change of the evaluation results can be mastered in time before the evaluation results are posted, a subsequent adjustment strategy can be determined according to the profit and loss change, and the overall management of products to be evaluated can be realized.
Drawings
Fig. 1 is a flowchart of an estimation result loss variation monitoring method according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a method for monitoring the degradation of estimation results according to another embodiment of the present invention;
fig. 3 is a schematic structural diagram of an estimation result loss variation monitoring apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Fig. 1 is a flowchart of an evaluation result loss change monitoring method according to an embodiment of the present invention. The evaluation result profit-loss change monitoring method provided by the embodiment of the application can be suitable for timely determining the profit-loss results of the evaluation results of the products to be evaluated. Typically, the embodiment of the present application is suitable for monitoring the profit and loss variation of the estimation result before the estimation result is posted. The method may be specifically executed by an estimation result profit-and-loss monitoring apparatus, which may be implemented by software and/or hardware, and which may be integrated in an electronic device capable of implementing the estimation result profit-and-loss monitoring method. Referring to fig. 1, the method of the embodiment of the present application specifically includes:
s110, acquiring the latest market data and transaction data of a product to be evaluated through a data acquisition interface; and the latest market data is the market data with the release time nearest to the current moment.
The latest market data may be data accessed from road, penbo, or vand, and the like, and include, for example, interest rates, price quotes for the day of exchange rate, and the like. The transaction data may be financial market transaction data such as foreign exchange spot, forward, swap, interest rate paint out, currency swap, bond, etc. Transaction data is generally stable. In addition, the cash flow of partial transactions changes with time, which may result in changes in the transaction data, but the transaction data remains stable as a whole. Reference data may also be obtained, which may be configuration data used in the valuation process to correlate trade and market data, such as profile configuration, time of day, date management, and the like.
In the embodiment of the application, when the estimation system performs estimation calculation, the latest market data and the transaction data of the product to be estimated are acquired through the data acquisition interface, so that the latest market condition of the product to be estimated is estimated in time.
In the embodiment of the present application, obtaining market data and transaction data of a product to be evaluated through a data acquisition interface includes: and if the release event of the latest market data is monitored, acquiring the latest market data of the product to be evaluated through the data acquisition interface.
Illustratively, when the latest market data are monitored to be released, the latest market data of a product to be evaluated are acquired in time through the data acquisition interface, so that the latest duration condition is mastered, evaluation calculation is performed according to the latest market data, and the accuracy and the referential performance of evaluation settlement results are improved.
And S120, carrying out valuation calculation on the product to be valued according to the latest market data and the transaction data.
Illustratively, the valuation calculation is carried out on the product to be valued according to the acquired latest market data and transaction data. Performing valuation calculation on the product to be valued according to the market data and the transaction data, wherein the valuation calculation comprises the following steps: inputting the market data and the transaction data into a financial product model to obtain an output valuation result; wherein the financial product model includes at least one of a DCF estimation model, a P/E estimation model, and an EV/EBITDA estimation model. Typically, to eliminate errors, a variety of relatively independent but complementary estimation models are typically used for estimation.
And S130, comparing the estimation results before the estimation results are posted, and determining the profit and loss change condition.
At present, in the process of financial products, an estimation system enters an estimation result, and a profit and loss result can be compared with a financial system after the estimation result is entered, so that the profit and loss change condition is determined and whether the profit and loss change is normal or not is analyzed. In the embodiment of the application, before the valuation result is posted, the valuation result of the product to be valued is compared, so that whether profit and loss change and analysis profit and loss change are normal or not is determined in time, the market dynamics of the product to be valued can be mastered in time, when profit and loss change is analyzed to be abnormal, relevant data are adjusted in time according to business instructions, the result of posting is spoken again, and normal profit and loss change posting of the valuation result is guaranteed.
In the embodiment of the application, the latest market data and transaction data of a product to be evaluated are acquired through a data acquisition interface; the latest market data is the market data with the release time nearest to the current moment; carrying out valuation calculation on the product to be valued according to the latest market data and the transaction data; and comparing the evaluation results before the evaluation results are posted, and determining the profit and loss change condition, so that the profit and loss change of the evaluation results can be mastered in time before the evaluation results are posted, a subsequent adjustment strategy can be determined according to the profit and loss change, and the overall management of products to be evaluated can be realized.
Fig. 2 is a flowchart of an evaluation result loss change monitoring method according to another embodiment of the present invention. For further optimization of the embodiments, details which are not described in detail in the embodiments of the present application are described in the embodiments. Referring to fig. 2, a method for monitoring loss and change of estimation result according to an embodiment of the present application may include:
s210, acquiring the latest market data and transaction data of a product to be evaluated through a data acquisition interface; and the latest market data is the market data with the release time nearest to the current moment.
And S220, carrying out valuation calculation on the product to be valued according to the latest market data and the transaction data.
And S230, before the valuation result is posted, classifying the products to be valued according to the lines, product types and currency to which the products to be valued belong.
For example, the lines, product types and currencies of the products to be evaluated may be different, so that the products to be evaluated need to be classified according to the lines, product types and currencies, and the products to be evaluated of the same product type, belonging to the same line and the same currency are classified into one category, thereby realizing the ordered management of the classification of the products to be evaluated.
And S240, evaluating and calculating the products to be evaluated belonging to each category according to the latest market data and the transaction data.
Illustratively, for the products to be evaluated of each category, evaluation calculation is performed according to the latest market data and transaction data of the products to be evaluated belonging to the category, so that the total amount of the evaluation results of the products to be evaluated belonging to the category is obtained in a summary manner.
According to the scheme in the embodiment of the application, through the classified statistics of the products to be evaluated, the evaluation calculation is carried out on the products to be evaluated belonging to various types according to the latest market data and transaction data, so that the ordered classified management of the products to be evaluated is realized, and the evaluation total amount of various products to be evaluated can be analyzed more visually.
In the embodiment of the present application, comparing the estimation results to determine the profit-loss variation condition includes: summarizing the estimation results of the products to be estimated belonging to the same branch on the current estimation day; and comparing the estimation result of the current estimation day with the estimation result obtained by the product to be estimated on any historical estimation day before the estimation day to determine the profit-loss change condition.
Illustratively, for products to be evaluated belonging to the same branch, the evaluation results of the products to be evaluated on the current evaluation day are summarized to obtain the total evaluation amount of the products to be evaluated in the branch. And comparing the total estimated value of the estimated value day with the total estimated value of the products to be estimated in the previous day of the branch, or comparing the total estimated value of the estimated value day with the total estimated value of the products to be estimated in the branch on any historical estimated value day before the estimated value day, and determining the profit and loss change condition of the estimated value, so that the profit and loss change of the products to be estimated is analyzed in the time dimension, and the profit and loss change condition of the products to be estimated is grasped in time.
In the embodiment of the present application, comparing the estimation results to determine the profit-loss variation condition includes: and comparing the transaction quantity of the product to be evaluated belonging to the same branch on the evaluation date with the transaction quantity of the product to be evaluated on any historical evaluation date before the evaluation date to determine the profit and loss change condition.
Illustratively, besides comparing the evaluation results in the time dimension, the transaction quantity of the product to be evaluated on the evaluation day can be compared with the transaction quantity of any historical evaluation day before the evaluation day, so that the profit and loss change of the transaction quantity can be accurately mastered, and then the macroscopic adjustment can be performed according to the analysis result of the profit and loss change to maintain the stability of the transaction quantity.
In the embodiment of the present application, comparing the estimation results to determine the profit-loss variation condition includes: and determining the total estimation amount variation trend of the product to be estimated in a preset time period according to the estimation result of the product to be estimated in the preset time period. Determining the variation trend of the total estimated value of the product to be estimated in a preset time period according to the estimation result in the preset time period, wherein the variation trend comprises the following steps: determining the daily estimation total amount of products to be estimated belonging to the same branch in a preset time period; and determining the estimated total amount change trend of the product to be estimated according to the daily estimated total amount in a preset time period. Determining the daily estimation total of products to be estimated belonging to the same branch in a preset time period, wherein the method comprises the following steps: determining the daily estimated value amount of each currency corresponding to a product to be estimated belonging to the same branch within a preset time period; and taking the sum of the daily estimation amount corresponding to each currency as the estimation total amount of the product to be estimated in a preset time period.
For example, for a preset time period from any historical evaluation day to the current evaluation day, the evaluation results of the daily products to be evaluated belonging to the same branch are determined, and the daily total evaluation amount is summarized. And analyzing the change trend of the estimated total amount according to the estimated total amount in a preset time period, so as to master the profit and loss change condition of the estimated result, analyze whether the profit and loss change condition belongs to normal change or abnormal change, and further take corresponding adjustment measures.
In the embodiment of the present application, comparing the estimation results to determine the profit-loss variation condition includes: suspending the account entry operation on a preset date; and analyzing the profit and loss change condition, and determining the execution state of the posting operation according to the analysis result. Analyzing the profit and loss change condition, and determining the execution state of the posting operation according to the analysis result, wherein the method comprises the following steps: if the profit and loss change is abnormal profit and loss change, adjusting the product to be evaluated according to the service instruction; and after the adjustment is completed, executing the posting operation. Analyzing the profit and loss change condition, and determining the execution state of the posting operation according to the analysis result, wherein the method comprises the following steps: and if the profit and loss change is normal profit and loss change, the evaluation result is put into account and stored.
For example, the preset date may be a special date set according to an actual situation, for example, a date at the end of a month, at the end of a quarter, at the end of a year, and the profit and loss variation of the estimation result needs to be analyzed, so that the posting job is suspended and temporarily not executed first, the profit and loss variation situation is analyzed according to the comparison of the estimation results, if the profit and loss variation situation is a normal profit and loss variation, the posting job is executed, the estimation result is posted, if the profit and loss variation is an abnormal profit and loss variation, the posting job is temporarily not executed, the estimation product is adjusted according to the service instruction, and the posting job is executed after adjustment, so as to post the normal profit and loss variation, thereby ensuring that the posted estimation result data are normal data and ensuring the accuracy and reliability of the posting data.
Fig. 3 is a schematic structural diagram of an estimation result loss variation monitoring apparatus according to an embodiment of the present invention. The device is suitable for determining the condition of the loss and benefit results of the estimation result of the product to be estimated in time. Typically, the embodiment of the present application is suitable for monitoring the profit and loss variation of the estimation result before the estimation result is posted. The apparatus may be implemented by software and/or hardware, and the apparatus may be integrated in an electronic device. Referring to fig. 3, the apparatus specifically includes:
the data acquisition module 310 is used for acquiring the latest market data and transaction data of the product to be evaluated through the data acquisition interface; the latest market data is the market data with the release time nearest to the current moment;
a valuation calculation module 320, configured to perform valuation calculation on the product to be valued according to the latest market data and the transaction data;
and the profit-loss change determining module 330 is configured to compare the evaluation results before the evaluation results are posted, and determine a profit-loss change condition.
In this embodiment of the application, the data obtaining module 310 is specifically configured to:
and if the release event of the latest market data is monitored, acquiring the latest market data of the product to be evaluated through the data acquisition interface.
In the embodiment of the present application, the benefit variation determining module 330 is specifically configured to:
inputting the latest market data and the transaction data into a financial product model to obtain an output evaluation result; wherein the financial product model includes at least one of a DCF estimation model, a P/E estimation model, and an EV/EBITDA estimation model.
In an embodiment of the present application, the benefit variation determining module 330 includes:
the classification unit is used for classifying the products to be evaluated according to the lines, product types and currency to which the products to be evaluated belong;
and the valuation calculation unit is used for carrying out valuation calculation on products to be valued belonging to each category according to the latest market data and the transaction data.
In an embodiment of the present application, the benefit variation determining module 330 includes:
the summarizing unit is used for summarizing the estimation results of the products to be estimated belonging to the same branch on the current estimation day;
and the comparison unit is used for comparing the estimation result of the current estimation day with the estimation result obtained by the product to be estimated on any historical estimation day before the estimation day to determine the damage and gain variation condition.
In an embodiment of the present application, the benefit variation determining module 330 includes:
and the transaction quantity comparison unit is used for comparing the transaction quantity of the product to be evaluated belonging to the same branch on the evaluation date with the transaction quantity of the product to be evaluated on any historical evaluation date before the evaluation date to determine the profit and loss change condition.
In an embodiment of the present application, the benefit variation determining module 330 includes:
and the variation trend determining unit is used for determining the variation trend of the total estimated value of the product to be estimated in a preset time period according to the estimated value result of the product to be estimated in the preset time period.
In an embodiment of the present application, the variation trend determining unit is specifically configured to:
determining the daily estimation total amount of products to be estimated belonging to the same branch in a preset time period;
and determining the estimated total amount change trend of the product to be estimated according to the daily estimated total amount in a preset time period.
In an embodiment of the present application, the variation trend determining unit is specifically configured to:
determining the daily estimated value amount of each currency corresponding to a product to be estimated belonging to the same branch within a preset time period;
and taking the sum of the daily estimation amount corresponding to each currency as the estimation total amount of the product to be estimated in a preset time period.
In an embodiment of the present application, the benefit variation determining module 330 includes:
the account entry suspending unit is used for suspending the account entry operation on a preset date;
and the execution state determining unit is used for analyzing the profit and loss change situation and determining the execution state of the posting job according to the analysis result.
In an embodiment of the present application, the execution state determining unit is specifically configured to:
if the profit and loss change is abnormal profit and loss change, adjusting the product to be evaluated according to the service instruction;
and after the adjustment is completed, executing the posting operation.
In an embodiment of the present application, the execution state determining unit is specifically configured to:
and if the profit and loss change is normal profit and loss change, the evaluation result is put into account and stored.
The evaluation result profit-loss change monitoring device provided by the embodiment of the application can execute the evaluation result profit-loss change monitoring method provided by any embodiment of the application, and has corresponding functional modules and beneficial effects of the execution method.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. FIG. 4 illustrates a block diagram of an exemplary electronic device 412 suitable for use in implementing embodiments of the present application. The electronic device 412 shown in fig. 4 is only an example and should not bring any limitations to the function and the scope of use of the embodiments of the present application.
As shown in fig. 4, the electronic device 412 may include: one or more processors 416; a memory 428, configured to store one or more programs that, when executed by the one or more processors 416, enable the one or more processors 416 to implement the method for monitoring the profit-and-loss of the evaluation result provided by the embodiment of the present application, including:
acquiring latest market data and transaction data of a product to be evaluated through a data acquisition interface; the latest market data is the market data with the release time nearest to the current moment;
carrying out valuation calculation on the product to be valued according to the latest market data and the transaction data;
and comparing the estimation results before the estimation results are posted, and determining the profit and loss change condition.
The components of the electronic device 412 may include, but are not limited to: one or more processors or processors 416, a memory 428, and a bus 418 that couples the various device components including the memory 428 and the processors 416.
Bus 418 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, transaction ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Electronic device 412 typically includes a variety of computer device-readable storage media. These storage media may be any available storage media that can be accessed by electronic device 412 and includes both volatile and nonvolatile storage media, removable and non-removable storage media.
Memory 428 can include computer-device readable storage media in the form of volatile memory, such as Random Access Memory (RAM)430 and/or cache memory 432. The electronic device 412 may further include other removable/non-removable, volatile/nonvolatile computer device storage media. By way of example only, storage system 434 may be used to read from and write to non-removable, nonvolatile magnetic storage media (not shown in FIG. 4, commonly referred to as a "hard drive"). Although not shown in FIG. 4, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical storage medium) may be provided. In these cases, each drive may be connected to bus 418 by one or more data storage media interfaces. Memory 428 can include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 440 having a set (at least one) of program modules 442 may be stored, for instance, in memory 428, such program modules 442 including, but not limited to, an operating device, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. The program modules 442 generally perform the functions and/or methodologies of the described embodiments of the invention.
The electronic device 412 may also communicate with one or more external devices 414 (e.g., keyboard, pointing device, display 424, etc.), with one or more devices that enable a user to interact with the electronic device 412, and/or with any devices (e.g., network card, modem, etc.) that enable the electronic device 412 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 422. Also, the electronic device 412 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) through the network adapter 420. As shown in FIG. 4, network adapter 420 communicates with the other modules of electronic device 412 over bus 418. It should be appreciated that although not shown in FIG. 4, other hardware and/or software modules may be used in conjunction with the electronic device 412, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID devices, tape drives, and data backup storage devices, among others.
The processor 416 executes various functional applications and data processing by executing at least one of other programs of the programs stored in the memory 428, for example, to implement a method for monitoring the profit-and-loss variation of the estimation result provided by the embodiment of the present application.
One embodiment of the present invention provides a storage medium containing computer-executable instructions for performing an evaluation result profit-and-loss variation monitoring method when executed by a computer processor, comprising:
acquiring latest market data and transaction data of a product to be evaluated through a data acquisition interface; the latest market data is the market data with the release time nearest to the current moment;
carrying out valuation calculation on the product to be valued according to the latest market data and the transaction data;
and comparing the estimation results before the estimation results are posted, and determining the profit and loss change condition.
The computer storage media of the embodiments of the present application may take any combination of one or more computer-readable storage media. The computer readable storage medium may be a computer readable signal storage medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor device, apparatus, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: 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 embodiments of the present application, a computer readable storage medium may be any tangible storage medium that can contain, or store a program for use by or in connection with an instruction execution apparatus, device, or apparatus.
A computer readable signal storage medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal storage medium may also be any computer readable storage 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 apparatus, device, or apparatus.
Program code embodied on a computer readable storage medium may be transmitted using any appropriate storage medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or device. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (15)

1. An assessment result profit-and-loss change monitoring method, comprising:
acquiring latest market data and transaction data of a product to be evaluated through a data acquisition interface; the latest market data is the market data with the release time nearest to the current moment;
carrying out valuation calculation on the product to be valued according to the latest market data and the transaction data;
and comparing the estimation results before the estimation results are posted, and determining the profit and loss change condition.
2. The method of claim 1, wherein obtaining up-to-date market data and transactional data for a product to be valued via a data acquisition interface comprises:
and if the release event of the latest market data is monitored, acquiring the latest market data of the product to be evaluated through the data acquisition interface.
3. The method of claim 1, wherein performing valuation calculations for the product to be valued based on the up-to-date market data and the transactional data comprises:
inputting the latest market data and the transaction data into a financial product model to obtain an output evaluation result; wherein the financial product model includes at least one of a DCF estimation model, a P/E estimation model, and an EV/EBITDA estimation model.
4. The method of claim 1, wherein performing valuation calculations for the product to be valued based on the up-to-date market data and the transactional data comprises:
classifying the products to be evaluated according to the lines, product types and currency of the products to be evaluated;
and carrying out valuation calculation according to the latest market data and the transaction data aiming at the products to be valued belonging to each classification.
5. The method of claim 1, wherein comparing the results of the evaluations to determine the change in profit or loss comprises:
summarizing the estimation results of the products to be estimated belonging to the same branch on the current estimation day;
and comparing the estimation result of the current estimation day with the estimation result obtained by the product to be estimated on any historical estimation day before the estimation day to determine the profit-loss change condition.
6. The method according to any one of claims 1-5, wherein comparing the evaluation results to determine the change in profit or loss comprises:
and comparing the transaction quantity of the product to be evaluated belonging to the same branch on the evaluation date with the transaction quantity of the product to be evaluated on any historical evaluation date before the evaluation date to determine the profit and loss change condition.
7. The method of claim 1, wherein comparing the results of the evaluations to determine the change in profit or loss comprises:
and determining the variation trend of the total estimated value of the product to be estimated in a preset time period according to the estimated value result of the product to be estimated in the preset time period.
8. The method of claim 7, wherein determining the trend of the total estimated value of the product to be estimated in a preset time period according to the estimated result in the preset time period comprises:
determining the daily estimation total amount of products to be estimated belonging to the same branch in a preset time period;
and determining the estimated total amount change trend of the product to be estimated according to the daily estimated total amount in a preset time period.
9. The method of claim 8, wherein determining the daily total estimate of the products to be estimated belonging to the same branch over a predetermined time period comprises:
determining the daily estimated value amount of each currency corresponding to a product to be estimated belonging to the same branch within a preset time period;
and taking the sum of the daily estimation amount corresponding to each currency as the estimation total amount of the product to be estimated in a preset time period.
10. The method of claim 1, wherein comparing the results of the evaluations to determine the change in profit or loss comprises:
suspending the account entry operation on a preset date;
and analyzing the profit and loss change condition, and determining the execution state of the posting operation according to the analysis result.
11. The method of claim 10, wherein analyzing the profit-and-loss variation and determining the status of the posting operation based on the analysis comprises:
if the profit and loss change is abnormal profit and loss change, adjusting the product to be evaluated according to the service instruction;
and after the adjustment is completed, executing the posting operation.
12. The method of claim 10, wherein analyzing the profit-and-loss variation and determining the status of the posting operation based on the analysis comprises:
and if the profit and loss change is normal profit and loss change, the evaluation result is put into account and stored.
13. An apparatus for monitoring deterioration and change of estimation result, the apparatus comprising:
the data acquisition module is used for acquiring the latest market data and transaction data of the product to be evaluated through the data acquisition interface; the latest market data is the market data with the release time nearest to the current moment;
the valuation calculation module is used for carrying out valuation calculation on the product to be valued according to the latest market data and the transaction data;
and the profit and loss change determining module is used for comparing the evaluation results before the evaluation results are posted to determine the profit and loss change condition.
14. An electronic device, characterized in that the electronic device comprises:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the evaluation result profit-and-loss variation monitoring method of any one of claims 1-12.
15. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the evaluation result profit-and-loss variation monitoring method according to any one of claims 1 to 12.
CN202011580291.8A 2020-12-28 2020-12-28 Method, device, electronic equipment and medium for monitoring loss and gain change of estimation result Pending CN112581282A (en)

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