Predicting Stock Price Crash Risk with a Deep Learning Approach from Artificial Intelligence and Comparing its Efficiency with Classical Predicting Methods.

Meysam Rahmati; Ehsan Taieby Sani

Predicting Stock Price Crash Risk with a Deep Learning Approach from Artificial Intelligence and Comparing its Efficiency with Classical Predicting Methods.

Publish place: Advances in Mathematical Finance and Applications، Vol: 9، Issue: 4

Publish Year: 1402

Type: Journal paper

Language: English

This Paper With 16 Page And PDF Format Ready To Download

DOWNLOAD Paper

Certificate
I'm the author of the paper

این Paper در بخشهای موضوعی زیر دسته بندی شده است:

Export:

Link to this Paper:

https://civilica.com/doc/2056971

Document National Code:

JR_AMFA-9-4_007

Index date: 19 August 2024

Predicting Stock Price Crash Risk with a Deep Learning Approach from Artificial Intelligence and Comparing its Efficiency with Classical Predicting Methods. Keywords:

Stock Price Crash Risk

Predicting Stock Price Crash Risk with a Deep Learning Approach from Artificial Intelligence and Comparing its Efficiency with Classical Predicting Methods. 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