Predicting Stock Price Crash Risk with a Deep Learning Approach from Artificial Intelligence and Comparing its Efficiency with Classical Predicting Methods.
Publish Year: 1402
نوع سند: مقاله ژورنالی
زبان: English
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JR_AMFA-9-4_007
تاریخ نمایه سازی: 29 مرداد 1403
Keywords:
Stock Price Crash Risk
Authors
Meysam Rahmati
Department Finance, Faculty of Financial Sciences, Kharazmi University, Tehran, Iran
Ehsan Taieby Sani
Department Finance, Faculty of Financial Sciences, Kharazmi University, Tehran, Iran
