Mathematical Model of Quantitative Evaluation of Financial Investment Risk Management System

Abstract

The financial investment risk management system refers to an analysis and control of the intelligent system to invest in the lower financial situation so that investors quickly understand the situation in the financial industry. The purpose of this article is to use a digital model to evaluate financial investment risk management system. The investment risk value can be better evaluated by building a digital model. This paper first introduces financial investment risks and then elaborates the evaluation system and related digital models. The standards of the evaluation system are also given. The GARCH model is established to analyze the LME copper and LME aluminum case selected by this paper by investigation and analysis of the current status of corporate financial investment risks. The experimental results show that the evaluation results are often close to the reality when using the GARCH model evaluation of financial investment risk management system, and the accuracy is quite high. In addition to the EGARCH-N model, the established model is more accurate at 90% confidence level, which is more accurate and is relatively close to a given significance level.

Design and Implementation of Financial Management System Based on Computer Network Technology

“…The operating system designed in this paper cannot only realize the management of financial work but also meet the aesthetic needs and usage habits of most people. The functional modules of the system are also designed to be very clear, and users can quickly grasp the operating functions of the system with the help of the instruction manual [18]. The system also suffers from occasional bugs that do not affect use.…”

Quantitative Analysis in Finance: Leveraging Statistical Methods for Improved Investment Decisions

“…In addition, institutional and individual investors, after dealing with systemic risks through effective diversification, also need to consider the unique risks of each stock. Wang noted that the evaluation outcomes are frequently near to reality and the accuracy is relatively high when the GARCH model is applied to analyze company-specific financial investment risks [3]. Moreover, the sensitivity analysis model can also be used to quantify and evaluate the company-specific non-systematic risks.…”

Retracted: Mathematical Model of Quantitative Evaluation of Financial Investment Risk Management System

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”