Predicting the Effective Factors on Concurrency of Stock Price Considering Corporative Governing Based on Neural Network

The aim of this research is predicting the effective factors on concurrency of stock price considering corporative governing based on neural network. This study is based on Neural Network. The data of 93 financial companies listed on Tehran Stock Exchange during the period of 6 years (2009-2015) have been studied. The sample is divided into two categories of testing and training. The results of analysis suggest that since the amount of error in testing sample is equal to training sample, thus model fitness is acceptable; Also, the results of table 7 represent that financial leverage, company size, growth opportunity, standard deviation of unlevered cash flow, standard deviation of daily yield, and controlling shareholders is effective on the concurrency of stock price.

Predicting the Effective Factors on Concurrency of Stock Price Considering Corporative Governing Based on Neural Network Keywords:

Concurrency of stock price , controlling shareholders , neural network

Predicting the Effective Factors on Concurrency of Stock Price Considering Corporative Governing Based on Neural Network authors

Reza Ataeizadeh

Young Researchers and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil, Iran

Fereshteh Abdollahi

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

Hushang Mohagheghi

Department of Management, Semnan Branch, Islamic Azad University, Semnan, Iran

Certificate
I'm the author of the paper

این Paper در بخشهای موضوعی زیر دسته بندی شده است:

هوش مصنوعی > شبکه عصبی

Export:

Link to this Paper:

https://civilica.com/doc/569802

Document National Code:

JR_IJMAE-3-7_001

Index date: 25 February 2017

How to cite:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the references section:

Ataeizadeh, Reza and Abdollahi, Fereshteh and Mohagheghi, Hushang,1395,Predicting the Effective Factors on Concurrency of Stock Price Considering Corporative Governing Based on Neural Network,https://civilica.com/doc/569802

در داخل متن نیز هر جا که به عبارت و یا دستاوردی از این Paper اشاره شود پس از ذکر مطلب، در داخل پارانتز، مشخصات زیر نوشته می شود.
برای بار اول: (1395, Ataeizadeh, Reza؛ Fereshteh Abdollahi and Hushang Mohagheghi)
برای بار دوم به بعد: (1395, Ataeizadeh؛ Abdollahi and Mohagheghi)
برای آشنایی کامل با نحوه مرجع نویسی لطفا بخش راهنمای سیویلیکا (مرجع دهی) را ملاحظه نمایید.

Scientometrics

The specifications of the publisher center of this Paper are as follows:

Ranking of Islamic Azad University of Ardabil

Type of center: دانشگاه آزاد

Paper count: 8,010

In the scientometrics section of CIVILICA, you can see the scientific ranking of the Iranian academic and research centers based on the statistics of indexed articles.