Index Prediction in Tehran Stock Exchange Using Hybrid Model of Artificial Neural Networks and Genetic Algorithms
Journal Title: International Journal of Academic Research in Accounting, Finance and Management Sciences - Year 2014, Vol 4, Issue 1
Abstract
Nowadays, investment in the bource organizes the important part of country economy. So the prediction of stocks index is very important for stockholders to earn the highest return from their investment. The changes of stock market influence by several factors such as political, economical and social factors and maybe, using the classic methods for stock market prediction result in exact results. since, the intelligent method have this capability that consider the complex effects of above factors in the analysis, so we can use them in stock index prediction. Therefore, we can use the artificial neural network for predicting and the genetic algorithm for optimizing the input variable in the neural network. This research has studied the efficiency of compound model, artificial neural network and genetic algorithm for predicting the stock index of Tehran negotiable documents bourse. For this reason, the economical data such as open market price of foreign exchange, bubble of coin price, the price of each ounce of gold in international market and the price of OPEK oil basket as inputs of compound model and total index of bource that compared with outputs of compound model, and have collected from 23st of September in 2010 until 18th of March in 2013 daily. The results indicated that the compound model, artificial neural network and genetic algorithm, can accomplish the exact prediction and this model operate efficiently.
Authors and Affiliations
Farzad Karimi, Mohsen Dastgir, Monireh Shariati
Keywords
Related Articles
- EP ID EP136493
- DOI 10.6007/IJARAFMS/v4-i1/658
- Views 94
- Downloads 0
Elements of Knowledge Management Systems of Enterprises
Knowledge is becoming the main driver of competitive advantage of enterprises operating in today's economic reality, hence the important role of knowledge management as a business process. Companies are faced with the ch...
Dilemma of Employee Retention through the Lens of Organizational Politics: A Quantitative Study on Pharmaceutical Industry of Pakistan
Employee retention is a vital issue in the pharmaceutical industry of Pakistan. Currently organizations and employees both are affected simultaneously with this serious problem. Current study was quantitative in nature a...
Threats and Challenges to Accounting Profession: A Draw Back to the Development of Accounting Practices in Nigeria
Intellectual Capital Indicators in Universities of Iran. Case Study of Islamic Azad University of Khuzestan
The aim of this study is ranking the Islamic Azad Universities of Khuzestan province based on operational indicators of intellectual capital. 5 universities were selected from all Islamic Azad Universities of Khuzestan p...
Investigating the Relationship between Self-Leadership Strategies and Job Satisfaction
The aim of this study was to investigate the relationship between self-leadership strategies and job satisfaction. The study took place at an educational organization in Isfahan. A random sample of 164 employees was sele...