CN114897381A

CN114897381A - Accounting evaluation method, device, equipment, medium and product

Info

Publication number: CN114897381A
Application number: CN202210551465.0A
Authority: CN
Inventors: 林祥南
Original assignee: China Construction Bank Corp
Current assignee: China Construction Bank Corp
Priority date: 2022-05-18
Filing date: 2022-05-18
Publication date: 2022-08-12

Abstract

The invention discloses an accounting evaluation method, device, equipment, medium and product. The invention relates to the technical field of big data. The method comprises the following steps: determining current period balance data according to internal transfer price data acquired in advance; determining the next period of balance data according to the current period of balance data by using a predetermined time sequence model; wherein the time series model is determined based on a fitness to current cycle balance data; and if at least one group of the current period of collection and payment data and the next period of collection and payment data meets the preset accounting evaluation standard, determining that the accounting evaluation result is qualified. The scheme solves the problem that the dimension of the historical balance data serving as the evaluation index is single, can increase the evaluation dimension through prospective prediction, and is favorable for realizing the comprehensive evaluation of the operation condition of the financial institution.

Description

Accounting evaluation method, device, equipment, medium and product

Technical Field

The invention relates to the technical field of big data, in particular to an accounting evaluation method, device, equipment, medium and product.

Background

In the current big data era, in a financial institution internal Transfer price management system, an entry method mainly realizes final cost entry and reimbursement by calculating FTP (Funds Transfer printing, internal Transfer price) cost reimbursement. The income and expenditure conditions of the financial institution can be used as important evaluation indexes of the financial institution or the branch institution. For example, checking the operation condition of the bank in the current year through the income and expenditure of the current year.

However, in the prior art, only historical balance and income is used as an evaluation index of a financial institution, the dimension is single, and the balance and income is easily influenced by seasonal influence or sudden situation, for example, natural disasters cause yield reduction of various industries, and further the income level of banks is too low. Therefore, a multidimensional evaluation index is needed to fully evaluate the operation condition of the financial institution so as to provide a reference for the development of the financial institution.

Disclosure of Invention

The invention provides an accounting evaluation method, an accounting evaluation device, an accounting evaluation medium and an accounting evaluation product, which are used for solving the problem that the dimension of historical balance data serving as an evaluation index is single, can increase the evaluation dimension through prospective prediction, and are beneficial to realizing the comprehensive evaluation of the operation condition of a financial institution.

According to an aspect of the present invention, there is provided an accounting evaluation method, the method including:

determining current period balance data according to internal transfer price data acquired in advance;

determining the next period of balance data according to the current period of balance data by using a predetermined time sequence model; wherein the time series model is determined based on a fitness to current cycle balance data;

and if at least one group of the current period of collection and payment data and the next period of collection and payment data meets the preset accounting evaluation standard, determining that the accounting evaluation result is qualified.

According to another aspect of the present invention, there is provided an accounting evaluation apparatus including:

the current period balance data determining module is used for determining the current period balance data according to the internal transfer price data acquired in advance;

the next period reimbursement data determining module is used for determining the next period reimbursement data according to the current period reimbursement data by utilizing a predetermined time sequence model; wherein the time series model is determined based on a fitness to current cycle balance data;

and the accounting evaluation result determining module is used for determining that the accounting evaluation result is qualified if at least one group of the current period of collection and payment data and the next period of collection and payment data meets the preset accounting evaluation standard.

According to another aspect of the present invention, there is provided an electronic apparatus including:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform a method of accounting as described in any embodiment of the invention.

According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement the accounting evaluation method according to any one of the embodiments of the present invention when the computer instructions are executed.

According to another aspect of the invention, there is provided a computer program product comprising a computer program which, when executed by a processor, implements an accounting evaluation method as in any one of the embodiments of the invention.

According to the technical scheme of the embodiment of the invention, the balance data in the current period is determined through internal transfer price data; then, determining the balance data of the next period according to the balance data of the current period by using a time series model; and if at least one group of the current period of collection and payment data and the next period of collection and payment data meets the accounting evaluation standard, determining that the accounting evaluation result is qualified. The technical scheme can solve the problem that the dimension of the historical balance data serving as the evaluation index is single, increase the evaluation dimension through prospective prediction and be beneficial to realizing the comprehensive evaluation of the operation condition of the financial institution.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a flowchart of an accounting evaluation method according to an embodiment of the present invention;

fig. 2 is a flowchart of an accounting evaluation method according to a second embodiment of the present invention;

fig. 3 is a schematic structural diagram of an accounting evaluation apparatus according to a third embodiment of the present invention;

fig. 4 is a schematic structural diagram of an electronic device implementing the accounting evaluation method according to the embodiment of the present invention.

Detailed Description

In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. According to the technical scheme, the data acquisition, storage, use, processing and the like meet relevant regulations of national laws and regulations.

Example one

Fig. 1 is a flowchart of an accounting evaluation method according to an embodiment of the present invention, where the embodiment is applicable to an accounting evaluation scenario, and the method may be executed by an accounting evaluation apparatus, where the apparatus may be implemented in a form of hardware and/or software, and the apparatus may be configured in an electronic device. As shown in fig. 1, the method includes:

and S110, determining the current period balance data according to the internal transfer price data acquired in advance.

The scheme can be executed by an internal transfer price management system, and the internal transfer price management system can perform full virtual fund transfer pricing with a service system according to a certain rule to obtain internal transfer price data, so that the purposes of accounting fund income or cost and the like can be achieved. The business system may include a deposit system, a loan system, etc.

The internal transfer price management system may determine internal transfer price data in advance based on financial data of a deposit, loan, or other business system. The financial data may be, for example, business data of all accounts of bank a. The internal transfer price management system may calculate capital cost data from asset business data, such as deposit business data, and may also calculate capital value data from liability business data, such as loan business data. The capital cost data and the capital value data are then aggregated to obtain internal transfer price data, wherein the internal transfer price data may be calculated according to a certain period, such as daily calculation, quarterly calculation, and the like. After obtaining the internal transfer price data, the internal transfer price management system may obtain current period balance data of the financial institution, wherein the current period balance data may reflect income and expenditure conditions of the financial institution for the current period. The revenue and expenditure data may also be based on revenue and expenditure data for multiple dimensions, such as product dimensions, organization dimensions, and the like.

S120, determining the balance data of the next period according to the balance data of the current period by utilizing a predetermined time sequence model; wherein the time series model is determined based on a fitness of the current cycle balance data.

The time series model can realize prediction of future data according to existing historical data, such as an autoregressive model, a moving average model, an autoregressive differential moving average model, a generalized autoregressive conditional variance model, a signal decomposition model, a Fourier decomposition model, a wavelet decomposition model, an empirical mode decomposition model and the like.

It can be understood that the internal transfer price management system can predict the balance data of the next period through a time series model according to the balance data of the current period. The internal transfer price management system can utilize a randomly selected time sequence model to fit the current period balance data, after a fitting result is obtained, the residual error between the fitting data and the current period balance data is calculated, the fitting degree is determined according to the residual error, and then whether the fitting degree of the time sequence model to the current period balance data meets the requirement of practical application or not is evaluated.

Taking the autoregressive differential moving average model as an example of the time series model, the prediction of the next cycle of the budget data can be as follows:

1. and visualizing the current period balance data to identify the stationarity of the data.

2. And differentiating the non-stationary time sequence data in the current period balance data to obtain a stationary sequence.

3. After the stabilization, if the partial autocorrelation function is truncated and the autocorrelation function is trailing, establishing an autoregressive model; if the partial autocorrelation function is trailing and the autocorrelation function is truncated, establishing a moving average model; if both the partial autocorrelation function and the autocorrelation function are smeared, the sequence fits into the autoregressive moving average model.

4. After the order of the model is determined, the auto-regressive moving average model is subjected to parameter estimation, for example, by a least squares method.

5. And judging whether the residual error sequence is a white noise sequence or not through hypothesis test.

6. And (4) performing prediction by using the tested model.

In this embodiment, optionally, the determining process of the time series model includes:

fitting the current period balance data by utilizing at least two predetermined candidate time series models to obtain a fitting evaluation result;

and determining a time series model from the candidate time series models according to the fitting evaluation result.

The internal transfer price management system may pre-establish a set of time series models, which in combination may include at least two candidate time series models. The internal transfer price management system can utilize a plurality of candidate time series models to fit the current period balance data, then compare a plurality of fitting results, and select the time series model with the best fitting result as the time series model which is finally used for prediction. The internal transfer price management system can also use model parameters such as a white noise check value and the like as a fitting evaluation result to evaluate the quality of the candidate time series model.

According to the scheme, the optimal time series model is selected from a plurality of candidate time series models to be used finally, different candidate time series models are usually suitable for different data ranges, the scheme is favorable for realizing self-adaptive application under different scenes, and therefore accuracy and reliability of data prediction are guaranteed.

On the basis of the above scheme, optionally, the candidate time series model includes at least two of an autoregressive model, a moving average model, an autoregressive differential moving average model, a generalized autoregressive conditional variance model, a signal decomposition model, a fourier decomposition model, a wavelet decomposition model, and an empirical mode decomposition model; the fitting evaluation result comprises at least one of a white noise check value, an autocorrelation function parameter and a partial autocorrelation function parameter;

correspondingly, the determining a time series model from the candidate time series models according to the fitting evaluation result comprises:

and taking the candidate time series model with the minimum fitting evaluation result as the used time series model.

It should be noted that, when the white noise test value, the autocorrelation function parameter, and the partial autocorrelation function parameter are all used as the evaluation indexes for fitting the evaluation result, the autocorrelation function parameter may be used as the most important index, and a larger weight is set.

According to the scheme, the optimal time series model can be selected by utilizing the fitting evaluation result so as to realize the optimal fitting effect and further realize more accurate data prediction.

And S130, if at least one group of the current period of collection and payment data and the next period of collection and payment data meets a preset accounting evaluation standard, determining that an accounting evaluation result is qualified.

The internal transfer price management system may use both the current period balance data and the next period balance data as the accounting evaluation range. If the balance data of the current period and the next period both meet the financial evaluation standard, the financial institution has good income in the current period, and the next period has good income prospect. If the current period of the income and expenditure data meets the financial evaluation standard and the next period of the income and expenditure data does not meet the financial evaluation standard, the situation that the financial institution is in good operation condition in the current period and the income of the next period of the operation condition possibly declines is shown. If the current period balance data does not meet the accounting evaluation standard and the next period balance data meets the accounting evaluation standard, it indicates that the current period may not achieve good profit due to the influence of objective factors, such as seasonal factors, emergency factors, etc., but the next period has expected profit.

According to the technical scheme, the current period balance data is determined through internal transfer price data; then, determining the balance data of the next period according to the balance data of the current period by using a time series model; and if at least one group of the current period of collection and payment data and the next period of collection and payment data meets the accounting evaluation standard, determining that the accounting evaluation result is qualified. The technical scheme can solve the problem that the dimension of the historical balance data serving as the evaluation index is single, increase the evaluation dimension through prospective prediction and be beneficial to realizing the comprehensive evaluation of the operation condition of the financial institution.

Example two

Fig. 2 is a flowchart of an accounting evaluation method according to a second embodiment of the present invention. The present embodiment is detailed based on the above-described embodiments. As shown in fig. 2, the method includes:

s210, acquiring the service data, integrating the service data and generating integrated data.

The internal transfer price management system may collect business data, such as subject, performance interest rate, interest date, due date, re-pricing term, contract account, and organization number, from the upstream business system. The internal transfer price management system can integrate business data, such as data derivation, data cleansing, and the like, to generate integrated data.

In a possible solution, optionally, the service data includes subject information, interest rate information, time information, account information, contract information, and institution information;

correspondingly, the integrating the service data to generate integrated data includes:

and carrying out information correspondence on the service data to generate an integrated data table.

The internal transfer price management system can perform information correspondence on business data, for example, customer related factor data can be acquired from a customer information management component, risk related information can be acquired from a risk weighted asset reporting component, capital cost information can be acquired from a capital management related component, and tax cost can be acquired from an administration related component. After the information of the service data corresponds, the internal transfer price management system may screen the service data, for example, filter out abnormal data. The internal transfer price management system can process the business data through a market layer to form a financial instrument table. The internal transfer price management system can also perform operations such as cleaning and statistics on data in the financial instrument table, and integrate the financial instrument table into the database to obtain an integrated data table.

The service data is not limited to the service data of the current period, and may include historical service data, for example, historical FTP cost values, historical money amounts, historical FTP credits, and the like.

The scheme can carry out information correspondence and data integration on the service data, and is favorable for ensuring the accuracy and the effectiveness of the data.

On the basis of the above scheme, optionally, after generating the integrated data table, the method further includes:

if blank data exist in the integrated data table, determining filling content of the blank data according to target entry data associated with the blank data, and filling the blank data;

if abnormal data exist in the integrated data table, updating the abnormal data according to target entry data associated with the abnormal data;

replacing the maximum value and the minimum value of each item of data in the integrated data table with the average value of the target data; the target data is data of each item except a maximum value and a minimum value.

It is easy to understand that, in the mass data collected by the upstream business system, there are situations such as data missing and data abnormality, and the data prediction result is easily affected by the maximum value or the minimum value in the data. The internal transfer price management system can process the data to avoid the condition that the correlation check is abnormal in the process of calculating the time series model, and the factors which should be considered are abandoned.

For blank data, the internal transfer price management system may determine missing content based on the associated target entry data. Assuming that the target entry lacks information on the interest-starting date, the internal transfer price management system may calculate the interest-starting date from the due date and the deposited time.

Similar to blank data, for anomalous data, the internal transfer price management system can infer the actual content of the anomalous data from the associated target entry data. In a specific example, there is abnormal data in the integrated data table, and the date of origin and rest: 20220101, the internal transfer price management system can correct the rest day to 2022/01/01 based on the record format of the date data in the target entry.

For extreme value data, the internal transfer price management system may delete the maximum and minimum values of each item data in the integrated data table, sum the remaining data of the item and calculate an arithmetic mean, replacing the extreme value data with the arithmetic mean.

The scheme can ensure the integrity, accuracy and stability of data in the integrated data table, and is favorable for realizing accurate data prediction.

And S220, determining internal transfer price data according to the integrated data.

After obtaining the consolidated data, the internal transfer price management system may calculate internal transfer price data from the consolidated data. It should be noted that the internal transfer price data may include internal transfer price data of a current period, and may also include internal transfer price data of at least one historical period.

And S230, determining at least one historical period balance data and current period balance data according to the internal transfer price data.

S240, determining the balance data of the next period according to the historical period balance data and the current period balance data by utilizing a predetermined time series model.

The internal transfer price management system can select the balance data of a plurality of periods to be fitted through the time sequence model so as to ensure enough sample data and further achieve a good data fitting effect.

And S250, if at least one group of the current period of collection and payment data and the next period of collection and payment data meets a preset accounting evaluation standard, determining that an accounting evaluation result is qualified.

In one example of application in a banking scenario, the internal transfer price management system selects the past 240 months of revenue and expenditure data, and the forecast data selects the future 12 months of revenue and expenditure data, and combines the past 12 months of revenue and expenditure data as a general evaluation reference. The data of the past 12 months is the internal income of the branch in the current year, the evaluation system is the profit in the current year, the data of the future 12 months is the potential income of the branch in the next year, and the evaluation system is the profit potential.

According to the technical scheme, historical period balance data and current period balance data are determined through internal transfer price data; then, determining the balance data of the next period according to the historical period balance data and the current period balance data by using a time series model; and if at least one group of the current period of collection and payment data and the next period of collection and payment data meets the accounting evaluation standard, determining that the accounting evaluation result is qualified. The technical scheme can solve the problem that the dimension of the historical balance data serving as the evaluation index is single, increase the evaluation dimension through prospective prediction and be beneficial to realizing the comprehensive evaluation of the operation condition of the financial institution.

EXAMPLE III

Fig. 3 is a schematic structural diagram of an accounting evaluation apparatus according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes:

a current period balance data determining module 310, configured to determine current period balance data according to internal transfer price data obtained in advance;

a next period reimbursement data determining module 320, configured to determine next period reimbursement data according to the current period reimbursement data by using a predetermined time series model; wherein the time series model is determined based on a fitness to current cycle balance data;

the accounting evaluation result determining module 330 is configured to determine that the accounting evaluation result is qualified if at least one of the current period of the collection and distribution data and the next period of the collection and distribution data meets a preset accounting evaluation criterion.

In this embodiment, optionally, the apparatus further includes a time series model determining module, where the time series model determining module includes:

the fitting evaluation result determining unit is used for fitting the current period balance data by utilizing at least two predetermined candidate time series models to obtain a fitting evaluation result;

and the time series model determining unit is used for determining a time series model from the candidate time series models according to the fitting evaluation result.

correspondingly, the time series model determining unit is specifically configured to: and taking the candidate time series model with the minimum fitting evaluation result as the used time series model.

In one possible implementation, the apparatus further includes:

the integrated data generating module is used for acquiring the service data and integrating the service data to generate integrated data;

and the internal transfer price data determining module is used for determining the internal transfer price data according to the integrated data.

On the basis of the above scheme, optionally, the apparatus further includes:

the historical balance data determining module is used for determining at least one historical period balance data and current period balance data according to the internal transfer price data;

and the next period balance data generation module is used for determining the next period balance data according to the historical period balance data and the current period balance data by utilizing a predetermined time sequence model.

In another possible solution, the business data includes subject information, interest rate information, time information, account information, contract information, and institution information;

correspondingly, the integrated data generation module is specifically configured to:

In a preferred aspect, the apparatus further comprises:

a blank data filling module, configured to determine filling content of blank data according to target entry data associated with the blank data and fill the blank data if the blank data exists in the integrated data table;

an abnormal data updating module, configured to update the abnormal data according to target entry data associated with the abnormal data if the abnormal data exists in the integrated data table;

the extreme value replacing module is used for replacing the maximum value and the minimum value of each item of data in the integrated data table with the average value of the target data; the target data is data of each item except a maximum value and a minimum value.

The accounting evaluation device provided by the embodiment of the invention can execute the accounting evaluation method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.

Example four

FIG. 4 shows a schematic block diagram of an electronic device 410 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 4, the electronic device 410 includes at least one processor 411, and a memory communicatively connected to the at least one processor 411, such as a Read Only Memory (ROM)412, a Random Access Memory (RAM)413, and the like, wherein the memory stores computer programs executable by the at least one processor, and the processor 411 may perform various appropriate actions and processes according to the computer programs stored in the Read Only Memory (ROM)412 or the computer programs loaded from the storage unit 418 into the Random Access Memory (RAM) 413. In the RAM 413, various programs and data required for the operation of the electronic device 410 can also be stored. The processor 411, ROM 412, and RAM 413 are connected to each other by a bus 414. An input/output (I/O) interface 415 is also connected to bus 414.

Various components in the electronic device 410 are connected to the I/O interface 415, including: an input unit 416 such as a keyboard, a mouse, or the like; an output unit 417 such as various types of displays, speakers, and the like; a storage unit 418, such as a magnetic disk, optical disk, or the like; and a communication unit 419 such as a network card, modem, wireless communication transceiver, or the like. The communication unit 419 allows the electronic device 410 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunication networks.

Processor 411 may be a variety of general and/or special purpose processing components with processing and computing capabilities. Some examples of processor 411 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 411 performs the various methods and processes described above, such as accounting evaluation methods.

In some embodiments, the accounting evaluation method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 418. In some embodiments, part or all of the computer program may be loaded and/or installed onto electronic device 410 via ROM 412 and/or communications unit 419. When loaded into RAM 413 and executed by processor 411, may perform one or more of the steps of the accounting evaluation method described above. Alternatively, in other embodiments, the processor 411 may be configured to perform the accounting evaluation method in any other suitable manner (e.g., by way of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

A computer program for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.

In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on 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.

To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.

EXAMPLE five

Embodiments of the present invention further provide a computer program product, including a computer program, where the computer program, when executed by a processor, implements the accounting evaluation method provided in any embodiment of the present application.

Computer program product in implementing the computer program code for carrying out operations 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 + +, 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 server. 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 should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.

The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An accounting evaluation method, the method comprising:

2. The method of claim 1, wherein the determining of the time series model comprises:

fitting the current period balance data by using at least two predetermined candidate time series models to obtain a fitting evaluation result;

3. The method of claim 2, wherein the candidate time series models comprise at least two of an autoregressive model, a moving average model, an autoregressive differential moving average model, a generalized autoregressive conditional variance model, a signal decomposition model, a fourier decomposition model, a wavelet decomposition model, and an empirical mode decomposition model; the fitting evaluation result comprises at least one of a white noise check value, an autocorrelation function parameter and a partial autocorrelation function parameter;

4. The method of claim 1, wherein prior to determining current cycle balance data based on pre-obtained internal transfer price data, the method further comprises:

acquiring service data, integrating the service data and generating integrated data;

internal transfer price data is determined from the consolidated data.

5. The method of claim 4, wherein after determining internal transfer price data, the method further comprises:

determining at least one historical period balance data and current period balance data according to the internal transfer price data;

and determining the balance data of the next period according to the historical period balance data and the current period balance data by utilizing a predetermined time sequence model.

6. The method of claim 4, wherein the business data includes subject information, interest rate information, time information, account information, contract information, and institution information;

7. The method of claim 6, wherein after generating the consolidated data table, the method further comprises:

8. An accounting evaluation apparatus, the apparatus comprising:

9. An electronic device, characterized in that the electronic device comprises:

at least one processor; and

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the accounting evaluation method of any one of claims 1-7.

10. A computer-readable storage medium storing computer instructions for causing a processor to perform the accounting evaluation method of any one of claims 1-7 when executed.

11. A computer program product, characterized in that the computer program product comprises a computer program which, when executed by a processor, implements an accounting evaluation method according to any one of claims 1-7.