Affiliations: [a] School of Management, China Research Center for Emergency Management, Wuhan University of Technology, Wuhan, China
| [b]
Hubei Collaborative Innovation Center for Early Warning and Emergency Response Technology, Wuhan, China
| [c] School of International Education, Wuhan University of Technology, Wuhan, China
Correspondence:
[*]
Corresponding author. Su Fang, School of International Education, Wuhan University of Technology, Wuhan, China. E-mail: [email protected].
Abstract: In order to analyze the change trend in risk financial assets of the retail business, this paper which is combined with the advantages of grey prediction system and Markov chain, establishes the “grey differential-Markov chain” intelligent prediction and evaluation model according to business characteristics. Meanwhile, the modeling steps are introduced, and the solution methods, model validation results, model prediction and evaluation methods are introduced in detail through specific cases. Through specific analysis, this paper aims to show that the model has high prediction accuracy and wide application value in the field of financial retail business.
Keywords: Grey model, Markov chain, state transition probability, risk asset ratio
