Özet:

In modern portfolio theory, it is stated that the relationship between the securities in the portfolio is influenced by the direction and degree of risk reduction (Markowitz, 1952). In theory, securities that are highly correlated with each other are avoided from being placed in the same portfolio. However, the correlation coefficient indicates the direction and power of the linear relationship between the two random variables. Models created using Bayesian networks can visually present the probabilistic relationship between securities, and when new information is available, the securities return values ​​in the network can be updated simultaneously. The aim of the study is to investigate the relationships between stocks that have been operating continuously in the Stock Exchange Istanbul National-100 (BIST-100) index between 2011-2016 by using Bayes network models which are machine learning. In the study, detailed relationships to be obtained by using Bayesian network models and qualitative and quantitative information that investors can use in portfolio selection are included.

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