Cumulative istributionfunction: Stock price forecasting
- Title
- Cumulative istributionfunction: Stock price forecasting
- Creator
- Ravichandra T.; Thingom C.
- Description
- In this paper, an attempt has been made to predict the movement of the stock price for the next day using Cumulative Distribution Function (CDF). For the purpose of the research, three companies from the Bearings Industry, namely - ABC Bearings Ltd, SNL Bearings Ltd and Austin Engineering Company Ltd, and two companies from the chemical industry, namely-Nocil ltd and Manali Petrochemicals Ltd were chosen. Historical prices of these companies were analyzed and by using Cumulative Distribution Function (CDF) the movement of the stock price for the next day is predicted. 2017 IEEE.
- Source
- IEEE International Conference on Innovative Mechanisms for Industry Applications, ICIMIA 2017 - Proceedings, pp. 394-398.
- Date
- 2017-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Bearings Industry; Chemical Industry; Cumulative Distribution Function; Prediction; Stock Price
- Coverage
- Ravichandra T., Department of Professional Studies, Christ University, Bangalore, India; Thingom C., Centre for Digital Innovation, Christ University, Bangalore, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-150905960-7
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Ravichandra T.; Thingom C., “Cumulative istributionfunction: Stock price forecasting,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/20934.