Survey on Factors Determining the Share Price Movement in Indian Stock Market - A Big Data Approach

Authors

  • Nitha K. P.  Research Scholar, Department of Computer Science and Engineering, Faculty of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women Coimbatore, Tamil Nadu, India
  • Dr. S. Sivakumari  Professor and Head, Department of Computer Science and Engineering, Faculty of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women Coimbatore, Tamil Nadu, India

DOI:

https://doi.org//10.32628/CSEIT195113

Keywords:

Stock Market, Big Data, Stock valuation model, Technical, Fundamental and Sentimental Factors

Abstract

The aim of investors of any stock is to earn reasonable returns. This paper presents a framework on share price movement and investigates the factors determining and predicting the share prices in Indian stock market through big data approach. This study is also trying to focus on the fundamental factors, technical factors and sentimental factors that stimulate the share price movement. The methodology used mainly focuses on the implications of the theory of financial markets and features affecting the share price movement. Stock market is one of the burning areas where data is growing day by day. Big data Analytics is a very promising area and buzzword for the next generation information technologies. Because of the heterogeneity and other complexities of data, big data architecture and design, is needed which specifically deals with the stock market data and analyze the heterogeneous data for the future prediction of the market. Variety and large Volume of factors exists. Moreover, the velocity with which data generates and the effect of them in the share price movement emphasizes, role of big data in predicting the share prices in Indian Stock Market.

References

  1. V. Sandhiya, T.Revathi, A.Jayashree, A.Ramya, S.Sivasankari "Stock Mar- ket Prediction on Bigdata Using Machine Learning Algorithm", Inter- national Journal of Engineering Science and Computing,Volume 7 Issue No.4,April 2017
  2. Rupawari Jadhav, M. S. Wakode "Survey : Sentiment Analysis of Twitter Data for Stock Market Prediction", International Journal of Advanced Research in Computer and Communication Engineering,Vol. 6, Issue 3, March 2017.
  3. Venkata Sasank Pagolu,Kamal Nayan Reddy Challa,Ganapati Panda,Babita Majhi "Sentiment Analysis of Twitter Data for Predicting Stock Market Movements", International conference on Signal Processing, Communication, Power and Embedded System (SCOPES)- 2016
  4. Varunesh Nichante, Prof. Sulabha Patil "A Review: Analysis of stock market by using big data analytic technology", International Journal on Recent and Innovation Trends in Computing and Communication,Volume: 4 Issue: 1,ISSN: 2321-8169,January 2016
  5. Aparna Nayak, M. M. Manohara Pai and Radhika M. PaiPrediction Mod- els for Indian Stock Market, , Twelfth International Multi-Conference on Information Processing-2016 (IMCIP-2016),pp : 441-449
  6. P.G Preethia,V. Umab ,Ajit kumar ,Temporal Sentiment Analysis and Causal Rules Extraction from Tweets for Event Prediction, , International Conference on Intelligent Computing, Communication & Convergence. Procedia Computer Science pp: 84 89,July 2015
  7. Raghavendra Kune1,Pramod Kumar Konugurthi1, Arun Agarwal,Raghavendra Rao Chillarige and Rajkumar Buyya "The anatomy of Big Data Computing", SOFTWARE: PRACTICE AND EXPERIENCE,Wiley Online Library (wileyonlinelibrary.com). DOI: 10.1002/spe.2374,9 October 2015
  8. Dr B Charumathi and Suraj E S "An Artificial Neural Network Approach on Improving Relative Valuation Accuracy for Bank Stocks in India Asian Research Journal of Business Management Issue 2 (Vol. 3) Issn: 2321- 9246,2015
  9. Kavitha S, Raja Vadhana P, Nivi A N "BIG DATA ANALYTICS IN FINANCIAL MARKET", IJRET: International Journal of Research in Engineering and Technology,Volume: 04 Issue: 02 - Feb-2015
  10. Aditya Bhardwaja, Yogendra Narayanb, Vanrajc, Pawana, Maitreyee Duttaa Sentiment Analysis for Indian Stock Market Prediction Using Sensex and Nifty, , 4th International Conference on Eco-friendly Computing and Communication Systems. Procedia Computer Science 70 (2015) pp: 85-91
  11. Krishna Kumar Singh, Priti Dimri, Krishna Nand Rastogi "The Impli- cations of Big Data in Indian Stock Market", International Journal of Computer Applications, Volume 99,Issue:5, August 2014
  12. Dr B Charumathi and Suraj E S "Comparing Stock Valuation Models for Indian Bank Stocks International Journal of Accounting and Taxation, Vol. 2, No. 2, pp. 111-127,June 2014
  13. Carson Kai-Sang Leung,Richard Kyle MacKinnon,Yang Wang "A Ma- chine Learning Approach for Stock Price Prediction", IDEAS14, Porto, Portugal,ACM 978-1-4503-2627-8/14/07,July 2014
  14. Yoosin Kim1, Seung Ryul Jeong1, Imran Ghani "Text Opinion Mining to Analyze News for Stock Market Prediction", International Journal in Advanced Soft Computing and Applications, Volume 6,Issue:1, March 2014
  15. Qasem A. Al-Radaideh,Adel Abu Assaf,Eman Alnagi "Predicting Stock Prices Using Data Mining Techniques", The International Arab Con- ference on Information Technology (ACIT2013)
  16. Dr B Charumathi and Suraj E S "Value relevance of earnings and book value for bank stocks An empirical analysis using ohlson valuation model Global Journal of Management and Research, July 2013.
  17. Phaisarn sutheebunjard "Stock exchange of Thailand Index prediction using back propogation networks Second international conference on computer and network technology, IEEE 376-381, Thailand,2010 (2010).

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Published

2019-01-30

Issue

Section

Research Articles

How to Cite

[1]
Nitha K. P., Dr. S. Sivakumari, " Survey on Factors Determining the Share Price Movement in Indian Stock Market - A Big Data Approach , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 1, pp.63-69, January-February-2019. Available at doi : https://doi.org/10.32628/CSEIT195113