Innovative Research of Financial Risk Based on Financial Soliton Theory and Big Data Ideation
| Autor: | Yu-Shan Xue, Xian-Jun Yin |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
040101 forestry
Finance 050208 finance Actuarial science business.industry Financial risk 05 social sciences GRASP Financial market Big data Control (management) Financial risk management 04 agricultural and veterinary sciences Nonlinear system 0502 economics and business Economics 0401 agriculture forestry and fisheries business Mechanism (sociology) |
| Zdroj: | Intelligent Computing Methodologies ISBN: 9783319633145 ICIC (3) |
| DOI: | 10.1007/978-3-319-63315-2_32 |
| Popis: | Nonlinear problems encountered in theoretical study on the financial risks are important objects of nonlinear science. Traditional financial risk management theory of nonlinear problems unresolved can be studied by using the method of nonlinear science, financial soliton theory and big data ideation. The theory can not only analyze the evolution of financial markets, the formation of risk transfer mechanism, but also it can more profoundly grasp the behaviors of financial markets, obtain new financial risk prediction, control concepts and methods. |
| Databáze: | OpenAIRE |
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