Open AccessSurvey on Factors Determining the Share Price Movement in Indian Stock Market - A Big Data Approach
Author(s) -
Kollam Nitha,
S. Sivakumari
Publication year - 2019
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit195113
Subject(s) - big data , stock market , stock (firearms) , share price , market share , financial economics , business , economics , industrial organization , econometrics , marketing , stock exchange , computer science , finance , data mining , engineering , mechanical engineering , paleontology , horse , biology
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.