Predicting the delisted companies of Tehran Stock Exchange using machine learning based algorithms
Purpose: Delisted companies, despite their importance in the economic and social issues of society, is less considered in the financial literature. This issue is important because for each country, one of the criteria for economic measurement is the size of the capital market. Therefore, the deliste...
Saved in:
Main Authors: | Aminollah Zarghami, Meysam Doaei, Abtin Boostani |
---|---|
Format: | Article |
Language: | fas |
Published: |
Ayandegan Institute of Higher Education, Tonekabon,
2023-09-01
|
Series: | تصمیم گیری و تحقیق در عملیات |
Subjects: | |
Online Access: | https://www.journal-dmor.ir/article_168095_d682181c6aa2c4978571c53e89f7eb13.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Delisting Brazilian Public Companies: Empirical Evidence about Corporate Governance Issues
by: Patricia Maria Bortolon, et al.
Published: (2015-01-01) -
Measuring Fear and Greed Index in Stock Market: Evidence from the Tehran Stock Exchange
by: Mojtaba Rostami Noroozabad, et al.
Published: (2024-06-01) -
Optimizing Risk-based Stock Return Prediction in Tehran Stock Exchange industries: A Data Envelopment Analysis
by: Hamidreza Akhbari, et al.
Published: (2024-06-01) -
Functional analysis of the most significant stock exchange characteristics-a case study of the Swiss stock exchange
by: Vesić Tamara, et al.
Published: (2021-01-01) -
Stock ranking of companies in the three metals, chemical and pharmaceutical industries with a combined approach of fuzzy SWARA and COCOSO
by: Hamzeh Amin-Tahmasbi, et al.
Published: (2023-09-01)