Estimation of the Turkish Stock Investor Numbers Based on Kernel Method

Abstract

The investigation of investments in stock markets is an important and a challenging topic. Knowing the number of Turkish stock investor makes a benefit to conduct a smooth economical circulation. In this study, it is aimed that the Turkish stock investor numbers are estimated by using the kernel estimation method. The built functions in the Mathematica software are used. The built functions are responsible to model the data sets smoothly. After necessary components of the statistical results in the built function, the random number generation is performed for the estimated function,̂, which is the sampling form of the assumed function 𝑓 for the population representing the investor numbers. The numbers are estimated to be around 5 million for the real data sets if the maximum order statistics are used. The confidence interval as a covering probability being %95 in the asymptotic theory shows that the estimated value can be around 7 million if the new population occurs. DOI: https://doi.org/10.53486/cike2023.47; UDC: 330.322.54(560); JEL: Q1, R1, H254