جستجوی مقالات مرتبط با کلیدواژه « stock trade volumes » در نشریات گروه « حسابداری »

The purpose of this study is investigating the impact of management characteristics on value and volume of stock transactions;with an emphasis on data mining methods. after extracting the financial information of 165 firms listed in TSE for the period of 2007to2017,the method to test the hypothesis was a multiple regression model and using a combined data model and data mining methods has been used as complementary statistical methods. management characteristics had a significant effect on value of the stock trades of the companies under study,but effect of them on the volume of trading in most of the cases was not significant. management forecast accuracy has a significant effect on value of trades and the optimism and myopia management had a significant effect on the volume of stock trading.greatest effect on stock transaction value is also related to size of the company and the ratio of market value to book value and the greatest effect on volume of trading is related to ratio of price to profit and return on assets of the company. Small number of management attributes had a significant effect on the value and volume of trades and the capital market through the value of stock trades had a significant reaction to different management characteristics.Also only the myopia management had a significant effect on value of trades and myopia,optimism and independence of board had significant effects on volume of trades and other management features were not significant variables on value and volume of transactions.Contribution:for the first time by using data mining methods the most influential management characteristics on value and volume of stock trading are investigated and identified.It is suggested that in future researches,the impact of management characteristics on other financial variables such as specific stock returns on company,abnormal stock returns,stock price crash risk and…to be studied.

This paper investigates the impact of Audit Opinion and Audit Opinion Improvement on firms’ stock price and trade volumes in Tehran Stock Exchange (TSE) It is assumed that Audit Opinion and Audit Opinion Improvement reflex good and bad news about firms. The sample consists of 75 firms listed in TSE. The Statistic Method is Pooled Data Regression. In order to quantify Audit Opinion Improvement, Li and Wu (2004) method was employed. The results show that there is a positive and significant relationship between Audit Opinion and firms’ stock prices and trade volumes. Audit Opinion Improvement is also positively correlated with stock prices and trade volumes. Results show that auditors’ reports have information content in TSE and investors consider its type and improvement in their decision making.