Open AccessESTIMATION OF THE SECTORS OF THE INVESTMENTS MADE ON VENTURE CAPITAL COMPANIES WITH ARTIFICIAL NEURAL NETWORKS AND MULTIPLE LOGISTIC REGRESSION ANALYSIS
Author(s) -
Kubilay ERİŞLİK,
Özlem Deniz Başar
Publication year - 2020
Publication title -
journal of life economics
Language(s) - English
Resource type - Journals
ISSN - 2148-4139
DOI - 10.15637/jlecon.7.022
Subject(s) - venture capital , investment (military) , maturity (psychological) , logistic regression , business , capital (architecture) , finance , economics , industrial organization , statistics , history , psychology , developmental psychology , mathematics , archaeology , politics , political science , law
Venture capital companies undergo three different phases as core, growth and maturity phases as of their establishment. There are different stages in these phases in terms of providing the finance. The stage of providing finance for the first introduction of the product to the market in the core phase is called Serial A, the stage of providing the increasing finance need during the continuation of the growth is called Serial B and the stage of providing the finance needed in the growth and maturity phases is called Serial C and it continues as Serial D. In this study, it has been aimed to estimate the sectors of the venture capital companies by benefiting from the phases and amounts of the investments made by the investors to the venture capital companies. In the study, 5 sectors with the highest investment from investors have been selected and the investment data of 709 venture capital companies taking place in this sector have been benefited. Artificial Neural Networks and Multiple Logistic Regression Analysis have been used in the estimation of the sectors covering the companies with the data attained from the investment series. When the attained results have been examined, it has been determined that the results attained with Artificial Neural Networks are more successful than the results attained with Multiple Logistic Regression analysis.