A LINEAR REGRESSION APPROACH TO PREDICTION OF STOCK MARKET TRADING VOLUME: A CASE STUDY

Predicting daily behavior of stock market is a serious challenge for investors and corporate stockholders and it can help them to invest with more confident by taking risks and fluctuations into consideration. In this paper, by applying linear regression for predicting behavior of S&P 500 index, we prove that our proposed method has a similar and good performance in comparison to real volumes and the stockholders can invest confidentially based on that.

[1]  Seyyed Reza Khaze,et al.  Data mining application for cyber space users tendency in blog writing: a case study , 2012, ArXiv.

[2]  Richard F. Gunst,et al.  Applied Regression Analysis , 1999, Technometrics.

[3]  Yigitcan Karabulut.  Can Facebook Predict Stock Market Activity? , 2013 .

[4]  A. K. Pujari,et al.  Data Mining Techniques , 2006 .

[5]  Dongsong Zhang,et al.  Discovering golden nuggets: data mining in financial application , 2004, IEEE Trans. Syst. Man Cybern. Part C.

[6]  Michael J. A. Berry,et al.  Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management , 2004 .

[7]  Jian Zhang,et al.  Daily stock market forecast from textual web data , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

[8]  David M. Kemme.  Financial Structure and Economic Growth: A Cross-Country Comparison of Banks, Markets and Development , 2005 .

[9]  International Journal of Managing Value and Supply Chains , 2022 .

[10]  K. Rouwenhorst.  Local Return Factors and Turnover in Emerging Stock Markets , 1998 .

[11]  David Enke,et al.  The use of data mining and neural networks for forecasting stock market returns , 2005, Expert Syst. Appl..

[12]  P. Gloor,et al.  Predicting Stock Market Indicators Through Twitter “I hope it is not as bad as I fear” , 2011 .

[13]  M. Hashem Pesaran,et al.  Forecasting stock returns an examination of stock market trading in the presence of transaction costs , 1994 .

[14]  Claude Giorno,et al.  Stock Market Fluctuations and Consumption Behaviour: Some Recent Evidence , 1998 .

[15]  Azadeh Nikfarjam,et al.  Text mining approaches for stock market prediction , 2010, 2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE).

[16]  Farhad SoleimanianGharehchopogh,et al.  Application of Decision Tree Algorithm for Data Mining in Healthcare Operations: A Case Study , 2012 .

[17]  Zeinab Abbasi Khalifehlou,et al.  A New Approach in Software Cost Estimation Using Regression Based Classifier , 2012 .

[18]  Ganapati Panda,et al.  Stock market prediction of S&P 500 and DJIA using Bacterial Foraging Optimization Technique , 2007, 2007 IEEE Congress on Evolutionary Computation.