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Flowability coverage rate prediction method and device

A forecasting method and forecasting device technology, applied in the fields of big data and artificial intelligence, can solve the problems of inability to predict the liquidity coverage ratio of commercial banks, timeliness and low degree of automation, and achieve improved resilience, wide application range, and portability sex high effect

Pending Publication Date: 2021-04-30
INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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AI Technical Summary

Problems solved by technology

[0003] In the existing technology, when the commercial bank liquidity coverage ratio is calculated in the form of business reports, the timeliness and degree of automation are not high. At the same time, it is impossible to predict the future liquidity coverage ratio of commercial banks and improve the ability of banks to control risk levels

Method used

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  • Flowability coverage rate prediction method and device
  • Flowability coverage rate prediction method and device
  • Flowability coverage rate prediction method and device

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Embodiment Construction

[0024] The implementation of the present invention will be described in detail below in conjunction with the accompanying drawings and examples, so as to fully understand and implement the process of how to apply technical means to solve technical problems and achieve technical effects in the present invention. It should be noted that, as long as there is no conflict, each embodiment and each feature of each embodiment in the present invention can be combined with each other, and the formed technical solutions are all within the protection scope of the present invention.

[0025] In addition, the steps shown in the flow diagrams of the figures may be performed in a computer system, such as a set of computer-executable instructions, and, although a logical order is shown in the flow diagrams, in some cases, the sequence may be different. The steps shown or described are performed in the order herein.

[0026] Please refer to Figure 1A As shown, a kind of liquidity coverage rat...

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Abstract

The invention discloses a fluidity coverage rate prediction method and device, and belongs to the technical field of big data and artificial intelligence. The method comprises the steps: obtaining the service data of each service application server system at a historical moment and the fluidity coverage rate data at the historical moment; training the first training model according to the service data at the historical moment and the liquidity coverage rate data at the historical moment; screening the liquidity coverage rate data and the service data at the corresponding moment according to a preset condition, and training a second training model according to a screening result; obtaining a fluidity coverage rate prediction value according to the first training model and the predicted service data; comparing the prediction value with a preset threshold value, and substituting the fluidity coverage rate prediction value into a second training model according to a comparison result to obtain multiple parts of service data configuration scheme data; and obtaining a service data adjustment scheme according to a comparison result of the service data configuration scheme data and the predicted service data.

Description

technical field [0001] The invention relates to the technical fields of big data and artificial intelligence, is applicable to the fields of banking business data processing and financial fields, and especially refers to a method and device for predicting liquidity coverage ratio. Background technique [0002] Liquidity coverage ratio is the core indicator of supervision and manages short-term liquidity risks. The purpose of the liquidity coverage ratio is to ensure that commercial banks have sufficient qualified high-quality liquid assets, which can meet future liquidity needs by monetizing these assets under the liquidity stress scenarios stipulated by the China Banking Regulatory Commission. [0003] In the existing technology, when the commercial bank liquidity coverage ratio is calculated in the form of business reports, the timeliness and degree of automation are not high. At the same time, it is impossible to predict the future liquidity coverage ratio of commercial b...

Claims

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Application Information

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IPC IPC(8): G06Q40/02G06N3/12G06N20/10
CPCG06N3/126G06N20/10G06Q40/03
Inventor 张佩玉温丽明梁森钟锐填
Owner INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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