Simulation Model-Based Research on the Technology Support System for China’s Real Estate Financial Risk Management

Author:

Guo Jia,Chen Lixuan,Gao Ge,Guo SijiaORCID,Li Xiuting

Abstract

With technology and finance becoming increasingly integrated, it is imperative to use fintech to improve the capability to forestall and defuse major financial risks. As an area prone to financial risks, the real estate industry deserves in-depth research on the dynamics between risks and technological capability (TC). In this paper, a simulation model was constructed with system dynamics to examine whether an improvement in TC can effectively improve risk management capability (RMC), and to explore the specific interaction between RMC and TC under six policy scenarios. We present the following findings: (1) TC has a significant supporting role in risk management; (2) increasing R&D financial input is more effective than increasing personnel input when it comes to improving TC; (3) whether it is a single input or multiple inputs of different types, increasing R&D financial input is also more effective than increasing personnel input when it comes to improving risk management; (4) overall, improvements in TC and RMC have a positive effect on social and economic development. This study not only makes clear the interconnection between TC and RMC and enriches the research content in this field, but also provide a reference for preventing and resolving major financial risks and promoting stable social and economic development.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference44 articles.

1. Risk spillovers between FinTech and traditional financial institutions: Evidence from the U.S.

2. Systemic risk, governance and global financial stability

3. Xi Jinping Presided over the Tenth Meeting of the Central Finance and Economics Committee, Emphasizing the Promotion of Common Prosperity in High-Quality Development, and the Prevention and Resolution of Major Financial Risks. Xinhuanet

4. A Big Data Mining Approach of PSO-Based BP Neural Network for Financial Risk Management With IoT

5. Real estate supports rapid development of China's urbanization

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