Logistic regression analysis to know the factors affecting the financial knowledge in decision of investment non riil assets at university investment gallery

The large population of Indonesia is not an indication of the increasing number of investors in Indonesia, especially investors in non-real assets. This study aims to investigate the variable causes of non-real asset investment decisions. | Logistic regression analysis to know the factors affecting the financial knowledge in decision of investment non riil assets at university investment gallery International Journal of Management IJM Volume 11 Issue 2 February 2020 pp. 147 162 Article ID IJM_11_02_016 Available online at http ijm JType IJM amp VType 11 amp IType 2 Journal Impact Factor 2020 Calculated by GISI ISSN Print 0976-6502 and ISSN Online 0976-6510 IAEME Publication Scopus Indexed LOGISTIC REGRESSION ANALYSIS TO KNOW THE FACTORS AFFECTING THE FINANCIAL KNOWLEDGE IN DECISION OF INVESTMENT NON RIIL ASSETS AT UNIVERSITY INVESTMENT GALLERY Isfenti Sadalia Dr. Faculty of Economics and Business Universitas Sumatera Utara Indonesia Fahmi Natigor Nasution Dr. Faculty of Economics and Business Universitas Sumatera Utara Indonesia Iskandar Muda Dr. Faculty of Economics and Business Universitas Sumatera Utara Indonesia ABSTRACT The large population of Indonesia is not an indication of the increasing number of investors in Indonesia especially investors in non-real assets. This study aims to investigate the variable causes of non-real asset investment decisions. The population used in this research is university students who have an investment gallery and registered as an investor at university investment gallery in Aceh North Sumatera West Sumatera and Pekan Baru Riau using Lemeshow formulation for the sample size. Dependent variable in this research is non asset investment decision while independent variable are gender education level and availability of financial advisory. This research uses binary logistic regression approach. The samples used in this study were 384 samples selected by the Lemeshow formulation method. The test results with binary logistic regression on the designed model ie there is one predictor variable that significantly affects the non-real asset investment decision is the variable availability of financial advisors. Keywords .

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