Research on Risk Prediction Model of Internet Finance Based on Cloud Computing

Abstract

With the rapid development of the Internet, the traditional Internet financial risk prediction methods can no longer meet the needs of individuals and enterprises, so the concept of cloud computing arises at the historic moment. Cloud computing has subverted the traditional financial risk prediction method and has been widely studied and applied for its distributed, dynamic and autonomous characteristics. How to efficiently and reasonably schedule the resources of cloud data center and improve the accuracy of financial risk prediction is the focus of current research. How to quantify financial risk and financial risk early warning is one of the urgent problems to be solved. Under the framework of cloud computing, this paper combines the feature extraction and data weighting to study the user’s basic attribute data and a large number of downloaded APP types. After that, linear regression with penalty is used to construct the prediction model to improve insolvency. The accuracy of customer default judgment can realize local optimization, so as to improve the prediction and control of hidden risks of customer commercial bank loans and greatly reduce the default risk of bank loans.

Imperative Role of Integrating Digitalization in the Firms Finance: A Technological Perspective

“…The concept of cloud computing emerges at a pivotal period in history as a result of the Internet's rapid development and inability of traditional Internet financial risk prediction methods to suit individual and corporate needs. Due to its distributed, dynamic, and autonomous properties, cloud computing has overturned the conventional method for predicting financial risk [34].…”

Vulnerability Analysis Method Based on Network and Copula Entropy

“…Obviously, 𝐻 (𝑢 ,𝑢 ) =−𝑀(𝑋 ,𝑋 ), that is, Copula entropy has the same value as interaction entropy with opposite sign [12]. From this, it can be understood that Copula entropy and mutual information share a fundamental unity as they both quantify the amount of information regarding all orders of correlation between random variables.…”