Abstract
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.
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Acknowledgments
We express our thanks to the referees and members of our discussion group for their valuable comments. This work is supported by National Natural Science Foundation of China (Grant Nos. 11447233, 11472315), Social Science Foundation of Beijing (Grant No. 15JGC184), Young Doctor Development Foundation of “121 Talent Project of CUFE” (Grant No. QBJ1420), Education Teaching Reform Fund 2016 of CUFE.
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Xue, YS., Yin, XJ. (2017). Innovative Research of Financial Risk Based on Financial Soliton Theory and Big Data Ideation. In: Huang, DS., Hussain, A., Han, K., Gromiha, M. (eds) Intelligent Computing Methodologies. ICIC 2017. Lecture Notes in Computer Science(), vol 10363. Springer, Cham. https://doi.org/10.1007/978-3-319-63315-2_32
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DOI: https://doi.org/10.1007/978-3-319-63315-2_32
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