Comparing Logistic Growth Model and Competing Models for Predicting the Overall Index in the Tehran Stock Exchange
Objective: The main objective of this study is to compare the Harvey Logistic Growth Models, Harvey, and the Nonlinear Autoregressive Neural Network, and to design and find a model with better predictive accuracy for the Tehran Stock Exchange data. This model is nevertheless highly dependent on past...
| Main Authors: | , |
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| Format: | Article |
| Language: | fas |
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University of Tehran
2019-08-01
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| Series: | تحقیقات مالی |
| Subjects: | |
| Online Access: | https://jfr.ut.ac.ir/article_72751_47e1374739d594e1b90e62cf838dd82a.pdf |