دراسة احتمالية التغيير الحاصل في أسعار الأسهم بالاعتماد على القيمة المتداولة لفندق بابل باستعمال الانحدار اللوجستي

Abstract EN

In this paper, the kernel estimator (non-parametric densityestimator) method is used to estimate the two-response logistic regressionmodel.

Forensic transit method is chosen as the appropriate bootparameter (h) (bandwidth).

The process of estimating and helps in theapproximation and smoothing of the approach and approach to the realtrend, that the goal of using the estimator is to modify the data (views) insuch a way that it is possible to obtain capabilities with characteristicsclose to the characteristics of the real parameters, and based on economicdata regarding the change in the prices of shares and the value of theBabylon Hotel in the Iraqi market for securities for a period of (72) days, by comparing the Kernel functions adopted in this research, Gaussian andEpanechnikv, and based on the MSE comparison, the kernel function(Epanechnikv) was found to be the best for obtaining the lowest value forthis criterion