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
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Flowability coverage rate prediction method and device
  • Flowability coverage rate prediction method and device
  • Flowability coverage rate prediction method and device

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

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

[0025] Additionally, the steps shown in the flowcharts of the figures may be performed in a computer system, such as a set of computer-executable instructions, and, although shown in a logical order in the flowcharts, in some cases, may be executed differently The steps shown or described are performed in the order shown herein.

[0026] Please refer to Figure 1A As shown, the present invention provi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap