Investigating the informativeness of technical indicators and news sentiment in financial market price prediction
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Investigating the informativeness of technical indicators and news sentiment in financial market price prediction
Authors
Keywords
-
Journal
KNOWLEDGE-BASED SYSTEMS
Volume 247, Issue -, Pages 108742
Publisher
Elsevier BV
Online
2022-04-13
DOI
10.1016/j.knosys.2022.108742
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Comprehensive Survey on Deep Neural Networks for Stock Market: The Need, Challenges, and Future Directions
- (2021) Ankit Thakkar et al. EXPERT SYSTEMS WITH APPLICATIONS
- A Multi-Method Survey on the Use of Sentiment Analysis in Multivariate Financial Time Series Forecasting
- (2021) Charalampos M. Liapis et al. Entropy
- Applications of deep learning in stock market prediction: Recent progress
- (2021) Weiwei Jiang EXPERT SYSTEMS WITH APPLICATIONS
- Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks
- (2021) Bin Liang et al. KNOWLEDGE-BASED SYSTEMS
- Exploiting textual and relationship information for fine-grained financial sentiment analysis
- (2021) Tobias Daudert KNOWLEDGE-BASED SYSTEMS
- Incorporating stock prices and news sentiments for stock market prediction: A case of Hong Kong
- (2020) Xiaodong Li et al. INFORMATION PROCESSING & MANAGEMENT
- Multi-Level Fine-Scaled Sentiment Sensing with Ambivalence Handling
- (2020) Zhaoxia Wang et al. INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS
- Applying BERT to analyze investor sentiment in stock market
- (2020) Menggang Li et al. NEURAL COMPUTING & APPLICATIONS
- Sentiment-aware volatility forecasting
- (2019) Frank Z. Xing et al. KNOWLEDGE-BASED SYSTEMS
- Technical analysis and sentiment embeddings for market trend prediction
- (2019) Andrea Picasso et al. EXPERT SYSTEMS WITH APPLICATIONS
- Web Media and Stock Markets : A Survey and Future Directions from a Big Data Perspective
- (2018) Qing Li et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Word sense disambiguation application in sentiment analysis of news headlines: an applied approach to FOREX market prediction
- (2018) Saeed Seifollahi et al. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
- Improving stock market prediction via heterogeneous information fusion
- (2018) Xi Zhang et al. KNOWLEDGE-BASED SYSTEMS
- A novel stock recommendation system using Guba sentiment analysis
- (2018) Yunchuan Sun et al. Personal and Ubiquitous Computing
- Twitter permeability to financial events: an experiment towards a model for sensing irregularities
- (2018) Ana Fernández Vilas et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Aggregating multiple types of complex data in stock market prediction: A model-independent framework
- (2018) Huiwen Wang et al. KNOWLEDGE-BASED SYSTEMS
- Public Mood–Driven Asset Allocation: the Importance of Financial Sentiment in Portfolio Management
- (2018) Lorenzo Malandri et al. Cognitive Computation
- A new graphic kernel method of stock price trend prediction based on financial news semantic and structural similarity
- (2018) Wen Long et al. EXPERT SYSTEMS WITH APPLICATIONS
- The hasty wisdom of the mob: How market sentiment predicts stock market behavior
- (2017) M.S. Checkley et al. EXPERT SYSTEMS WITH APPLICATIONS
- Discovering public sentiment in social media for predicting stock movement of publicly listed companies
- (2017) Bing Li et al. INFORMATION SYSTEMS
- Sentiment analysis of financial news articles using performance indicators
- (2017) Srikumar Krishnamoorthy KNOWLEDGE AND INFORMATION SYSTEMS
- A Tensor-Based Information Framework for Predicting the Stock Market
- (2016) Qing Li et al. ACM TRANSACTIONS ON INFORMATION SYSTEMS
- Stock market sentiment lexicon acquisition using microblogging data and statistical measures
- (2016) Nuno Oliveira et al. DECISION SUPPORT SYSTEMS
- Affective Computing and Sentiment Analysis
- (2016) Erik Cambria IEEE INTELLIGENT SYSTEMS
- Text mining of news-headlines for FOREX market prediction: A Multi-layer Dimension Reduction Algorithm with semantics and sentiment
- (2015) Arman Khadjeh Nassirtoussi et al. EXPERT SYSTEMS WITH APPLICATIONS
- The effect of news and public mood on stock movements
- (2014) Qing Li et al. INFORMATION SCIENCES
- Mutual Information between Discrete and Continuous Data Sets
- (2014) Brian C. Ross PLoS One
- Good debt or bad debt: Detecting semantic orientations in economic texts
- (2013) Pekka Malo et al. Journal of the Association for Information Science and Technology
- Extremal optimization vs. learning automata: Strategies for spin selection in portfolio selection problems
- (2012) Majid Vafaei Jahan et al. APPLIED SOFT COMPUTING
- Twitter mood predicts the stock market
- (2011) Johan Bollen et al. Journal of Computational Science
- From Local Search to Global Conclusions: Migrating Spin Glass-Based Distributed Portfolio Selection
- (2010) M V Jahan et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search