Rapid technological advances and vast environmental changes, leading to increasing competition and limit access to benefits and likely to suffer financial crisis has increased. Purpose of this study is investigating financial crisis prediction strength of different arti More
Rapid technological advances and vast environmental changes, leading to increasing competition and limit access to benefits and likely to suffer financial crisis has increased. Purpose of this study is investigating financial crisis prediction strength of different artificial intelligence techniques(linear and nonlinear genetic algorithm and neural network). Based on available information and statistics, of all companies listed in Tehran Stock Exchange, 72 companies have been subject to Article 141 trade law and 72 companies have not been subject to this Article was elected. Results of Mc-Nemar test for genetic algorithms techniques and neural network showed that there are not significant differences between linear and nonlinear genetic algorithms with neural network. Although the predictive accuracy of nonlinear genetic algorithm(90%) and linear genetic algorithms(80%) is more than of the neural network(70%) but this difference is not statistically significant.
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The Relationship between Financial Reporting Quality and the Speed of Price Adjustment Zahra Pourzamani Mona Ghamari (Received: 26/Dec/2013; Accepted: 26/Feb/2014) Abstarct The subject of this study is indicating relationship between financial reporting qualityand speed More
The Relationship between Financial Reporting Quality and the Speed of Price Adjustment Zahra Pourzamani Mona Ghamari (Received: 26/Dec/2013; Accepted: 26/Feb/2014) Abstarct The subject of this study is indicating relationship between financial reporting qualityand speed of price adjustment in stock exchange house. Furthermore in this research the methodology of share’s price adjustment procedure has examinated. This research isa descriptive-correlative type. The study sample includes 68 companies for a period of two years (2009-2010). We used Cross Sectional multiple linear regression analysis to examine the hypotheses. The results show that, in Tehran stock exchange there is a symmetric price adjustment to news. However, the speed of price adjustment to news is not significantly affected by the information quality and does not increase as this improves. Other Result of study indicates that delayed size and number of trades is positively related to speed of price adjustment. The mostimportantlimitation ofthis study is daily price limit that restrict Priceadjustment process. Key Words: Financial Reporting Quality, Speed of Price Adjustment, Market Efficiency, Symmetricprice Adjustment.
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