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• W1490466984 abstract "Machine learning techniques are seen to be used increasingly in estimating stock returns as an alternative to statistical methods with their ability to provide flexibility requiring relatively less assumptions and providing better generalization ability based on real risk. In this study, the direction of movement of the ISE-100 Index return is estimated using both logistic regression and support vector machines, making use of their ability to facilitate a binary classification. The correct classification ratio for modeling and holdout sets of logistic regression and support vector machines methods are obtained as 75% and 86% respectively. It can be seen from the results of the study that the support vector machines can be used effectively as an alternative method by investors and researchers in predicting the stock returns." @default.
• W1490466984 created "2016-06-24" @default.
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• W1490466984 date "2011-08-01" @default.
• W1490466984 modified "2023-09-24" @default.
• W1490466984 title "Endeks Getirisi Yönünün İkili Sınıflandırma Yöntemiyle Tahmin Edilmesi: İMKB 100 Endeksi Örneği" @default.
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