Research Article
Analyzing the Investment Behavior in the Iranian Stock Exchange during the COVID-19 Pandemic Using Hybrid DEA and Data Mining Techniques
Table 1
Overview of previous studies.
| Author(s) | Method(s) | Country(s) | Duration |
| Rezaee et al. [23] | Artificial Neural Networks and DEA | Iran | 2007–2012 | Zhong and Enke [22] | Principal Component Analysis, Artificial Neural Networks, and logistic regression | S&P 500 Index | June 1, 2003, and May 31, 2013 | Chang et al. [21] | Nested dynamic network and DEA | Taiwan | 2011–2018 | Anouze and Bou-Hamad [20] | Classification and regression trees and conditional inference trees | MENA countries | 2008–2010 | Karimi and Barati [18] | DEA | Iran | 2014 | Khedr et al. [5] | News sentiment analysis and data mining technique | NASDAQ | Did not mention the year | Asadifar and Kahani [26] | Intelligent data mining | Iran | Data gathering in 1 month; did not mention the year | Yazdi et al. [17] | DEA and fuzzy clustering | Iran | 2014–2015 | Hiransha et al. [16] | Multilayer Perceptron (MLP), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), and Convolutional Neural Network (CNN) | India and USA | 1996–2015 |
|
|