Research On Financial Market Forecasting Model And Method Considering External Stimulus From The Perspective Of Cranial Neurology

The financial market is affected by various kinds of external stimulus information,such as regular quarterly,monthly and annual reports,irregular Federal Reserve announcements,monetary policy information,natural disasters,public health,social security,financial and other sudden external stimulus events.These external stimulus events have a certain degree of impact on investors.Investor's brain activity affects investment behavior,which in turn affects the financial market index.Therefore,the prediction of financial market index considering external stimulus from the perspective of brain nerve is a very practical hot issue.In view of this,in order to achieve better prediction of the financial market index.Based on the existing research,this paper starts from the perspective of external stimulus perception and uses uncertainty prediction as to the starting point.Combined with neuroscience,machine learning,other international frontier theories,and synthetically theoretical application analysis,empirical research,quantitative analysis,qualitative analysis and comparative analysis,etc.Construct the uncertainty prediction model from the perspective of conventional external stimulus perception,the uncertainty prediction model under the general external stimulus perception perspective,and the major external emergency uncertainty prediction model from the standpoint of stimulus perception.Firstly,this paper reviews related research on brain nerves,external stimulus and financial market forecasting.The literature review found that brain nerve activity is affected by a series of external stimuli.Brain nerve activity affects investment behavior,which is reflected in the financial market price index.However,most of the current research on financial market uncertainty prediction neglected the investor's perception factors.Although some studies have taken into account this factor,they have not been fully considered.This situation directly leads to the existing financial market uncertainty prediction model is not ideal in actual prediction results.Based on the above analysis,it is necessary to introduce a cranial nerve perspective in financial market forecasting research considering external stimuli.Secondly,a prediction model considering periodic external stimuli was constructed from the perspective of brain nerves.Regular external stimuli are external stimuli that continue to occur frequently in a specified period,and the time of occurrence is deterministic.After a period of regular external stimuli lasting for a period of time,the degree of impact on the brain nerves gradually weakens.The brain gradually summarizes the regular external stimuli.Investment behavior is more rational.The financial market is less volatile.The model aims at the regular external stimuli existing in the financial market.Based on the existing financial market prediction model,the brain neural perception model is closer to the actual description of the advantages of the decision maker's external stimulus perception.The brain neural perception model and the BP neural network model are established.From the perspective of the cranial nerves,consider the external external stimulus prediction model.Applying the built-in cranial nerve perspective to consider the periodic external stimulus prediction model is applied to the stock market index prediction,and the feasibility of the model is verified through the analysis of the four major stock market index prediction effects.Thirdly,based on the previous research,a prediction model considering irregular external stimuli is constructed from the perspective of brain nerves.Unscheduled external stimulus refers to the external stimuli that continue to occur from time to time.Unlike regular external stimuli,the timing of their occurrence is uncertain.In the process of constructing the prediction model of irregular external stimuli from the perspective of the cranial nerve,considering the different rules of the influence of the content and timing of irregular external stimuli on the brain,different brain perception models were constructed.Integrate the brain neural perception model and the BP neural network model to construct a prediction model that considers irregular external stimuli from the perspective of the brain nerve.Applying the forecast model of irregular external stimuli from the perspective of the constructed brain nerve to the forecast of exchange rate market index,and the feasibility of the model is verified through the analysis of the forecast effect of the four major exchange rate market indexes.Finally,a prediction model considering sudden external stimuli is constructed from the perspective of the brain nerves.Considering the prediction model of sudden external stimulus from the perspective of brain nerves is a real problem in the field of prediction and has certain practical significance and theoretical value.Considering that,the research scope of the model for predicting the regular and irregular external stimuli from the perspective of the cranial nerves is limited,and the problem is that when the external stimuli are burst,the sample data is more demanding.This study analyzes the potential advantages of support vector machines in dealing with the above problems,and integrates brain neural perception models and support vector machines to construct a prediction model that considers sudden external stimuli from the perspective of brain nerves.Applying the forecast model of sudden external stimulus from the perspective of the constructed brain nerve to the prediction of the stock market index,the feasibility of the model is verified through the analysis of the prediction effect of the seven major stock market indexes.