scholarly journals Block Chain Based Supply Chain Financial Risk Management Research

2021 ◽  
Vol 1744 (2) ◽  
pp. 022027
Author(s):  
Fengge Yao ◽  
Zenan Qin
2014 ◽  
Vol 1044-1045 ◽  
pp. 1799-1802
Author(s):  
Ruo Min Liu

With the development of financial markets, financial products innovation and global competition intensifies, the risk of financial market in China will be more complex and varied. How to deal with these risks and effective management has become the crucial problem of the financial institutions and regulators. VaR model as a tool to measure market risk, is increasingly becoming the current international financial mainstream risk management and financial supervision method, wide support and recognition by the international financial community. This paper introduces the background and meaning of the VaR method and studied the VaR method in the application of all kinds of financial risk management.


This chapter outlines the future directions for the Risk Management research. Eminent Risk Mangement scholars and practitioners are referenced considering the future direction for Risk Management in general across industries. Also, references to the future directions for specific industries, disciplines and corporate businesses are provided including: 1) Financial Risk Management; 2) Information Systems Security; 3) Energy Sector; 4) Project Management; 5) Construction Industry; 6) Supply Chain; 7) Agriculture; and 8) Six Sigma.


2013 ◽  
Vol 380-384 ◽  
pp. 4472-4475
Author(s):  
Yi Xian Chai ◽  
Yan Li Xu ◽  
Dan Liu

Copula model and the application of the model in financial market risk management are discussed in this paper. The paper establishes a dynamic Copula model to solve the financial market risk management problems on the basis of Copula research. Through the use of statistics and financial theories and Copula model, the thesis studies the applications of Copula model in the financial risk management and resolves the problem whether there exists financial crisis contagion or not. The results indicate that the applications of model in the financial market risk management are effective, and the research on the problem should be done in-depth.


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