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Mining Financial News for Major Events and Their Impacts on the Market
5 references·4 citing·34 second hop
Mining Financial News for Major Events and Their Impacts on the Market (2008)Mining Financial News for Major Events an…Forecasting Intraday stock price trends with text mining techniques (2004)Forecasting Intraday stock pr…Combining data and text mining techniques for analysing financial reports (2004)Combining data and text minin…Combining Data and Text Mining Techniques for Analyzing Financial Reports (2002)Combining Data and Text Minin…Mining of Concurrent Text and Time Series (2000)Mining of Concurrent Text and…Daily prediction of Major Stock Indices from Textual WWW Data (1998)Daily prediction of Major Sto…News-Induced Dynamic Networks for Market Signaling: Understanding the Impact of News on Firm Equity Value (2021)News-Induced Dynamic Networks…Forecasting stock price movements with multiple data sources: Evidence from stock market in China (2019)Forecasting stock price movem…Macroeconomic indicators alone can predict the monthly closing price of major U.S. indices: Insights from artificial intelligence, time-series analysis and hybrid models (2018)Macroeconomic indicators alon…The Impact of Abnormal News Sentiment on Financial Markets (2015)The Impact of Abnormal News S…The Behavior of Stock-Market Prices (1965)Market Making and Reversal on the Stock Exchange (1966)Predictability of Stock Market Prices. (1971)A quantitative stock prediction system based on financial news (2009)A survey of the applications of text mining in financial domain (2016)An adaptive portfolio trading system: A risk-return portfolio optimization using recurrent reinforcement learning with expected maximum drawdown (2017)Discourse in the Marketplace: The Making of Meaning in Annual Reports (1997)Textual analysis of stock market prediction using breaking financial news (2009)Identification of fraudulent financial statements using linguistic credibility analysis (2010)Time Series Analysis: Forecasting and Control. (1978)Economic Forces and the Stock Market (1986)The Role of Affect in Decision Making (2002)Forecasting stock market movement direction with support vector machine (2004)Big data and portfolio optimization: A novel approach integrating DEA with multiple data sources (2021)Stocks of year 2020: prediction of high variations in stock prices using LSTM (2022)Stock price prediction using ARIMA versus XGBoost models: the case of the largest telecommunication company in the Middle East (2023)The Measurement of Observer Agreement for Categorical Data (1977)Common risk factors in the returns on stocks and bonds (1993)Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. (1994)Effects of visit behavior on online store sales performance: personal computer (PC) versus mobile channels (2021)Supply chain network structures and firm financial performance: the moderating role of international relations (2023)Unlocking the Power of Voice for Financial Risk Prediction: A Theory-Driven Deep Learning Design Approach (2023)A model of investor sentiment /All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors (2007)Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)Automated trading with boosting and expert weighting (2009)Forecasting movements of health-care stock prices based on different categories of news articles using multiple kernel learning (2016)Long-term stock index forecasting based on text mining of regulatory disclosures (2018)Extracting Key Phrases as Predictors of Corporate Bankruptcy: Empirical Analysis of Annual Reports by Text Mining (2011)Measuring the Consistency of Quantitative and Qualitative Information in Financial Reports: A Design Science Approach (2018)Using machine learning methods to predict financial performance: Does disclosure tone matter? (2021)NewsCATS: A News Categorization and Trading System (2006)Identifying and Following Expert Investors in Stock Microblogs (2011)Empirical evaluation of an automated intraday stock recommendation system incorporating both market data and textual news (2013)
this work references cited by second hop

References

  • 2004Forecasting Intraday stock price trends with text mining techniques266 cited
  • 2004Combining data and text mining techniques for analysing financial reports144 cited
  • 2000Mining of Concurrent Text and Time Series133 cited
  • 1998Daily prediction of Major Stock Indices from Textual WWW Data95 cited
  • 2002Combining Data and Text Mining Techniques for Analyzing Financial Reports26 cited

Cited by

  • 2019Forecasting stock price movements with multiple data sources: Evidence from stock market in China57 cited
  • 2018Macroeconomic indicators alone can predict the monthly closing price of major U.S. indices: Insights from artificial intelligence, time-series analysis and hybrid models46 cited
  • 2021News-Induced Dynamic Networks for Market Signaling: Understanding the Impact of News on Firm Equity Value44 cited
  • 2015The Impact of Abnormal News Sentiment on Financial Markets23 cited

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