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A Prescriptive Stock Market Investment Strategy for the Restaurant Industry using an Artificial Neural Network Methodology

Weckman, Gary R.; Dravenstott, Ronald W.; Young II, … - In: International Journal of Business Analytics (IJBAN) 3 (2016) 1, pp. 1-21

individual stocks and stock indices around the world and in numerous industries. According to a literature review, these models …

Persistent link: https://www.econbiz.de/10012043160

A Study on Factors Influencing the Initial Public Offerings (IPO) in the Bombay Stock Exchange (BSE), India: During 2007-2013

Dokku, Srinivasa Rao; Lakshmi, P. Adi; Jampala, Rajesh C. - In: International Journal of Corporate Finance and … 3 (2016) 1, pp. 22-35

This study has examined the IPO performance in India from 2007 to 2013. Results show that under-pricing exists in the first day of trading during the particular period, but results show that the degree of under-pricing is dramatically decreased in comparison with what is shown in previous...

Persistent link: https://www.econbiz.de/10012043615

Construction and Application of Sentiment Lexicons in Finance

Seki, Kazuhiro; Shibamoto, Masahiko - In: International Journal of Multimedia Data Engineering … 9 (2018) 1, pp. 22-35

experiments on real-world news and stock price data shows that the resulting lexicons are mostly reasonable and capture the …

Persistent link: https://www.econbiz.de/10012046534

Predicting Stock Market Price Using Neural Network Model

Tripathy, Naliniprava - In: International Journal of Strategic Decision Sciences (IJSDS) 9 (2018) 3, pp. 84-94

The present article predicts the movement of daily Indian stock market (S&P CNX Nifty) price by using Feedforward Neural Network Model over a period of eight years from January 1st 2008 to April 8th 2016. The prediction accuracy of the model is accessed by normalized mean square error (NMSE) and...

Persistent link: https://www.econbiz.de/10012047543

Social Media-Based Forecasting: A Case Study of Tweets and Stock Prices in the Financial Services Industry

He, Wu; Guo, Lin; Shen, Jiancheng; Akula, Vasudeva - In: Journal of Organizational and End User Computing (JOEUC) 28 (2016) 2, pp. 74-91

Social media-based forecasting has received significant attention from academia and industries in recent years. With a focus on Twitter, this paper investigates whether sentiments of the tweets regarding the 7 largest US financial service companies (in U.S. dollars) are related to the stock...

Persistent link: https://www.econbiz.de/10012049204

Non-Linear Properties of the VIX Index

Magafas, L.; Hanias, M.; Tavlatou, A.; Kostantaki, P. - In: International Journal of Productivity Management and … 5 (2017) 2, pp. 16-24

stock indexes in the world. The aim of the analysis is to quantitatively show if the corresponding time series is a …

Persistent link: https://www.econbiz.de/10012047129