Review of Systematic Financial Risk Research Based on Knowledge Map-Reference-Cited by-同舟云学术

Review of Systematic Financial Risk Research Based on Knowledge Map

Published:2022 Issue: Volume:199 Page:315-322
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Liu Fangzheng,Zhang Yating,Li Li

Publisher

Elsevier BV

Subject

General Engineering

Reference10 articles.

1. The monitoring and measurement of systemic financial risk-based on the research of China’s financial system [J];Ling;Financial Research,2016

2. Research on systematic financial risk measurement based on financial stress index [J];dilong;Economics Trends,2015

3. China’s leverage ratio and systemic financial risk prevention [J];Jiantang;Finance and Trade Economics,2016

4. China’s financial systemic risks and prevention [J];Guangqi;Cooperative Economy and Technology,2020

5. Research on the Measurement and Prevention of Systematic Financial Risks of China’s Shadow Banking-Based on the Perspective of Shadow Banking Balance Sheet [J];Research Group of Xi ‘an Branch of the People’s Bank of China, Bai Hexiang;Financial Development Research,2017

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Construction and Exploration of a Financial Risk Control Model Based on Machine Learning;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20

2. Research on Financial Risk Evaluation and Control of Tourism Enterprises Based on Improved GA Algorithm;International Journal of Computational Intelligence Systems;2023-09-08

3. Visual Analysis of Online Learning Engagement of Student Based on CiteSpace;Proceedings of the 2023 6th International Conference on Big Data and Education;2023-06-16

4. Investigation and Modelling of Economic Systematic Risk and Capital Requirement: A Monte Carlo Simulation;Journal of Risk and Financial Management;2023-04-13

5. The impact of technology optimisation incorporating machine learning algorithms on the financial sustainability of new energy companies;International Journal of Knowledge-Based Development;2023