News-based supervised sentiment analysis for prediction of futures buying behaviour
Year of publication: |
2019
|
---|---|
Authors: | Yadav, Ritu ; Kumar, A. Vinay ; Kumar, Ashwani |
Published in: |
IIMB management review. - Bangalore : IIMB, ISSN 0970-3896, ZDB-ID 2413253-6. - Vol. 31.2019, 2, p. 157-166
|
Subject: | Futures market | Net buying pressure | Prediction | Real-time news | Sentiment analysis | Support vector machines | Trade direction | Vector space model | Prognoseverfahren | Forecasting model | Konsumentenverhalten | Consumer behaviour | Mustererkennung | Pattern recognition | Emotion | Prognose | Forecast | Anlageverhalten | Behavioural finance |
-
Forecasting energy markets using support vector machines
Papadimitriou, Theophilos, (2014)
-
Share price time series forecasting for effective supply chain information exchange
Ayyanathan, N., (2014)
-
Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN and ARIMA-random forest hybrid models
Kumar, Manish, (2014)
- More ...
-
Event based sentiment analysis on futures trading
Yadav, Ritu, (2019)
-
Venture backed IPO's in India : issues of certification and underpricing
Kumar, A. Vinay, (2004)
-
The market microstructure linkages of emerging options market and stock market
Kumar, A. Vinay, (2016)
- More ...