A financial data risk assessment method based on big data analysis
By constructing a risk-lag Lag-Llama model, the problem of unified description of the relationship between fund transfers and behavioral triggers in financial risk assessment is solved, enabling a detailed characterization and stable assessment of the risk propagation process, and improving the accuracy and stability of risk identification.
CN122243637APending Publication Date: 2026-06-19SUZHOU GUANYANYU INFORMATION TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SUZHOU GUANYANYU INFORMATION TECH CO LTD
- Filing Date
- 2026-03-19
- Publication Date
- 2026-06-19
Smart Images
Figure CN122243637A_ABST
Abstract
This invention discloses a financial data risk assessment method based on big data analysis, comprising the following steps: acquiring financial data from a financial system to generate a financial time series dataset; constructing a risk correlation structure based on the financial time series dataset and mapping it to a risk lag topology; constructing a risk lag Lag-Llama model based on the risk correlation structure; performing topological lag encoding processing based on the risk lag topology to generate topological lag sequence data; performing time series update calculations based on the topological lag sequence data to generate risk evolution status data; constructing a risk propagation matrix based on the risk correlation structure and performing propagation calculations to generate risk propagation result data; and calculating the risk level and risk diffusion trend of financial entities based on the risk propagation result data to generate a financial data risk assessment result. This invention achieves a precise characterization of risk propagation and evolution.
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