Open AccessPrice Prediction of Stock Market- An Empirical Research
Author(s) -
Sanjeeb Dutta,
Subhajyoti Bandyopadhyay
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.a2083.059120
Subject(s) - stock market , financial economics , stock (firearms) , financial market , econometrics , market depth , stock market bubble , empirical research , economics , computer science , business , finance , engineering , mathematics , geography , statistics , mechanical engineering , context (archaeology) , archaeology
Stock market price prediction is an inspiring problem domain of financial sector as it involves several factors and drives people towards a complex problem solving approach. Financial markets are one of the key points of any country economy. Researchers have been working over several years on stock market prediction which is an interesting problem in itself since a number of variables are involved for prediction. In this study, an extensive review of existing techniques dedicated to stock market forecasting is carried out. A comparative analysis of the existing techniques, mentioning methodologies along with the future direction also provided.