Document Type : Original Article

Authors

• Mohsen Hamidian ¹
• sara boostani ¹
• Hadi Mashhadi ghareh ghieih ²

¹ Department of Accounting, South Tehran Branch, Islamic Azad University, Tehran, Iran.

² Department of Accounting, Karaj Branch, Islamic Azad University, Karaj, Iran.

Abstract

One of the important issues that researchers and scientists face in the area of decision making and Predicting are choosing the variables that influence decision output and prediction. Therefore, if you can predict stock returns with appropriate variables and provide models for it, there will actually be more secure conditions in the capital market, which will help expand investment in financial markets. Therefore, the purpose of this paper is to examine the prediction of negative stock returns in Iran's capital market. In order to achieve this goal, data about 180 companies over the period 2010 to 2016 that was collected through a systematic elimination method that uses leverage, performance, turnover, volatility, quality, and Torpedo criteria to predict negative returns The results indicate that all of these criteria are all effective measures to predict the negative returns of shares in Tehran Stock Exchange.

Keywords

• stock returns
• Predicting
• Tehran Stock Exchange

Main Subjects

• Financial Marketing Strategies