Predicting Auditor Opinion and Stock Price Using Machine Learning Techniques: Evidence from Egypt
Elguoshy, O., Elbrashy, A., El Sharawy, B. (2024). Predicting Auditor Opinion and Stock Price Using Machine Learning Techniques: Evidence from Egypt. EKB Journal Management System, 16(1), 480-519. doi: 10.21608/masf.2024.346930
Omayma Rizk Elguoshy; Ahmed Mahmoud Elbrashy; Bassant Badr El Din El Sharawy. "Predicting Auditor Opinion and Stock Price Using Machine Learning Techniques: Evidence from Egypt". EKB Journal Management System, 16, 1, 2024, 480-519. doi: 10.21608/masf.2024.346930
Elguoshy, O., Elbrashy, A., El Sharawy, B. (2024). 'Predicting Auditor Opinion and Stock Price Using Machine Learning Techniques: Evidence from Egypt', EKB Journal Management System, 16(1), pp. 480-519. doi: 10.21608/masf.2024.346930
Elguoshy, O., Elbrashy, A., El Sharawy, B. Predicting Auditor Opinion and Stock Price Using Machine Learning Techniques: Evidence from Egypt. EKB Journal Management System, 2024; 16(1): 480-519. doi: 10.21608/masf.2024.346930

Predicting Auditor Opinion and Stock Price Using Machine Learning Techniques: Evidence from Egypt

المجلة العلمية للدراسات والبحوث المالية والإدارية‎
Article 17, Volume 16, Issue 1, March 2024, Page 480-519  XML PDF (3.63 MB)
Document Type: المقالة الأصلية
DOI: 10.21608/masf.2024.346930
View on SCiNiTO View on SCiNiTO
Authors
Omayma Rizk Elguoshy1; Ahmed Mahmoud Elbrashy2; Bassant Badr El Din El Sharawy3
1Accounting Lecturer, Al Zarka Higher Institute of Computer and Business Administration, Department of Accounting & Auditing
2Accounting Lecturer, Delta Higher institute for managerial and Accounting Information system, Accounting Department
3Associate Professor in Accounting, Faculty of Commerce- Cairo University
Abstract
The research aims to predicting auditor opinion and stock price using Machine Learning. Techniques the Decision Tree (DT), Neural Network (NN), Bayesian Network (BN), Support Vector Machine (SVM), K-Nearest Neighbors (K-NN), Rough Sets (RS), and Random Forest (RF) are the most widely used machine learning approaches that deal with financial variables. Additionally, this study use Probit Regression. The data of this study consists of 758 firm-years of Egyptian companies listed on Egyptian Stock Market from 2012 to 2022. The results revealed that positive relationship between auditor opinion and stock prices, audit opinion significantly different between the actual value and the predicted using machine learning techniques and stock price significantly different between the actual value and the predicted using machine learning techniques. The research recommends measuring the impact machine learning algorithms and continuous auditing, audit quality, and internal auditing in the Egyptian environment.
Keywords
Auditor Opinion; Stock Price; Machine Learning; Decision Tree (DT); Neural Network (NN); Bayesian Network (BN); Support Vector Machine (SVM); K-Nearest Neighbors (K-NN); Rough Sets (RS); and Random Forest; Probit Regression
Statistics
Article View: 62
PDF Download: 109