Works matching DE "STOCK price forecasting"
Results: 782
The impact of equity option expirations on the prices of non-expiring options.
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- Review of Financial Economics, 1995, v. 4, n. 2, p. 109, doi. 10.1016/1058-3300(95)90001-2
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The adjustment of stock prices to Wall Street Journal corrections.
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- Review of Financial Economics, 1994, v. 4, n. 1, p. 69, doi. 10.1016/1058-3300(94)90006-X
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A Causal Time-Series Model Based on Multilayer Perceptron Regression for Forecasting Taiwan Stock Index.
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- International Journal of Information Technology & Decision Making, 2019, v. 18, n. 6, p. 1967, doi. 10.1142/S0219622019500421
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Forecasting Chinese Stock Market Prices using Baidu Search Index with a Learning-Based Data Collection Method.
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- International Journal of Information Technology & Decision Making, 2019, v. 18, n. 5, p. 1605, doi. 10.1142/S0219622019500287
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Research on Knowledge Discovery and Stock Forecasting of Financial News Based on Domain Ontology.
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- International Journal of Information Technology & Decision Making, 2019, v. 18, n. 3, p. 953, doi. 10.1142/S0219622019500160
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A Language for Financial Chart Patterns.
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- International Journal of Information Technology & Decision Making, 2018, v. 17, n. 5, p. 1537, doi. 10.1142/S0219622018500347
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Presenting an Optimized CNN-LSTM Model for Stock Price Forecasting in the Tehran Stock Exchange.
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- Financial Management Perspective / Chashm/&āz-i Mudīriyyat-i Mālī, 2024, v. 14, n. 45, p. 123, doi. 10.48308/jfmp.2024.104892
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EXPECTATIONS AND SHARE PRICES.
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- Management Science, 1981, v. 27, n. 9, p. 975, doi. 10.1287/mnsc.27.9.975
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Treasury Bond Price Prediction using Time Series and Sentiment Analysis.
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- Grenze International Journal of Engineering & Technology (GIJET), 2024, v. 10, n. 1, Part 3, p. 2664
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Exploring Machine Learning Approaches for Analysis and Prediction in the Indian Stock Market.
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- Grenze International Journal of Engineering & Technology (GIJET), 2024, v. 10, n. 1, Part 2, p. 1784
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A Knowledge Representation System for the Indian Stock Market.
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- Computers (2073-431X), 2023, v. 12, n. 5, p. 90, doi. 10.3390/computers12050090
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Implementation of Long Short-Term Memory and Gated Recurrent Units on grouped time-series data to predict stock prices accurately.
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- Journal of Big Data, 2022, v. 9, n. 1, p. 1, doi. 10.1186/s40537-022-00597-0
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An LSTM and GRU based trading strategy adapted to the Moroccan market.
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- Journal of Big Data, 2021, v. 8, n. 1, p. 1, doi. 10.1186/s40537-021-00512-z
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Analyzing The Impact Of Analysts' Forecast Accuracy On Stock Returns: A Meta-Analytic Approach.
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- Journal of Namibian Studies, 2024, v. 40, p. 592
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Improving out-of-sample forecasts of stock price indexes with forecast reconciliation and clustering.
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- Quantitative Finance, 2024, v. 24, n. 11, p. 1641, doi. 10.1080/14697688.2024.2412687
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On prices and returns in commercial prediction markets.
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- Quantitative Finance, 2023, v. 23, n. 11, p. 1699, doi. 10.1080/14697688.2023.2257756
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Forecasting crude oil prices: do technical indicators need economic constraints?
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- Quantitative Finance, 2022, v. 22, n. 8, p. 1545, doi. 10.1080/14697688.2022.2074305
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The micro-price: a high-frequency estimator of future prices.
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- Quantitative Finance, 2018, v. 18, n. 12, p. 1959, doi. 10.1080/14697688.2018.1489139
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Pairs trading with a mean-reverting jump-diffusion model on high-frequency data.
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- Quantitative Finance, 2018, v. 18, n. 10, p. 1735, doi. 10.1080/14697688.2017.1417624
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Forecasting and trading high frequency volatility on large indices.
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- Quantitative Finance, 2018, v. 18, n. 5, p. 737, doi. 10.1080/14697688.2017.1414489
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Optimal execution strategy and liquidity adjusted value-at-risk.
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- Quantitative Finance, 2017, v. 17, n. 8, p. 1147, doi. 10.1080/14697688.2016.1275752
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The Fundamental Theorem of Derivative Trading - exposition, extensions and experiments.
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- Quantitative Finance, 2017, v. 17, n. 4, p. 515, doi. 10.1080/14697688.2016.1222078
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Forecasting stock market returns over multiple time horizons.
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- Quantitative Finance, 2016, v. 16, n. 11, p. 1695, doi. 10.1080/14697688.2016.1176241
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Early warning of large volatilities based on recurrence interval analysis in Chinese stock markets.
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- Quantitative Finance, 2016, v. 16, n. 11, p. 1713, doi. 10.1080/14697688.2016.1175656
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Prediction of stock price movement based on daily high prices.
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- Quantitative Finance, 2016, v. 16, n. 5, p. 793, doi. 10.1080/14697688.2015.1070960
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Jump robust two time scale covariance estimation and realized volatility budgets.
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- Quantitative Finance, 2015, v. 15, n. 6, p. 1041, doi. 10.1080/14697688.2012.741692
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On the index tracking and the statistical arbitrage choosing the stocks by means of cointegration: the role of stock picking.
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- Quantitative Finance, 2015, v. 15, n. 6, p. 1075, doi. 10.1080/14697688.2014.940604
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Two-step methods in VaR prediction and the importance of fat tails.
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- Quantitative Finance, 2015, v. 15, n. 6, p. 1013, doi. 10.1080/14697688.2014.942230
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Harnessing Deep Learning and Technical Indicators for Enhanced Stock Predictions of Blue-Chip Stocks on the Indonesia Stock Exchange (IDX).
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- Engineering, Technology & Applied Science Research, 2025, v. 15, n. 1, p. 20348, doi. 10.48084/etasr.9850
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Evaluation of Stock Closing Prices using Transformer Learning.
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- Engineering, Technology & Applied Science Research, 2023, v. 13, n. 5, p. 11635, doi. 10.48084/etasr.6017
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Sentiment Aware Stock Price Forecasting using the SA-RNN-LBL Learning Model.
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- Engineering, Technology & Applied Science Research, 2020, v. 10, n. 5, p. 6356, doi. 10.48084/etasr.3805
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Reaction to Public Information in Markets: How much does Ambiguity Matter?*.
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- Economic Journal, 2013, v. 123, n. 569, p. 699, doi. 10.1111/j.1468-0297.2012.02557.x
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Analysts' Earnings Forecasts and the Value Relevance of 20-F Reconciliations from non-U.S. to U.S. GAAP.
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- Journal of International Financial Management & Accounting, 1998, v. 9, n. 1, p. 1, doi. 10.1111/1467-646X.00027
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How Useful are Historical Data for Forecasting the Long-Run Equity Return Distribution?
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- Journal of Business & Economic Statistics, 2009, v. 27, n. 1, p. 95, doi. 10.1198/jbes.2009.0008
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A Deep Learning-Based LSTM for Stock Price Prediction Using Twitter Sentiment Analysis.
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- International Journal of Advanced Computer Science & Applications, 2024, v. 15, n. 12, p. 207, doi. 10.14569/ijacsa.2024.0151223
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Deployment of Secure Data Parameters Between Stock Inverters and Interfaces Using Command-Contamination-Stealth Management System.
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- International Journal of Advanced Computer Science & Applications, 2024, v. 15, n. 7, p. 503, doi. 10.14569/ijacsa.2024.0150750
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Temporal Fusion Transformers for Enhanced Multivariate Time Series Forecasting of Indonesian Stock Prices.
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- International Journal of Advanced Computer Science & Applications, 2024, v. 15, n. 7, p. 140, doi. 10.14569/ijacsa.2024.0150713
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Estimating Stock Market Prices with Histogram-based Gradient Boosting Regressor: A Case Study on Alphabet Inc.
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- International Journal of Advanced Computer Science & Applications, 2024, v. 15, n. 5, p. 532, doi. 10.14569/ijacsa.2024.0150553
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Stock Market Volatility Estimation: A Case Study of the Hang Seng Index.
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- International Journal of Advanced Computer Science & Applications, 2024, v. 15, n. 5, p. 232, doi. 10.14569/ijacsa.2024.0150524
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A Method for Assessing Financial Market Price Behavior: An Analysis of the Shanghai Stock Exchange Index.
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- International Journal of Advanced Computer Science & Applications, 2024, v. 15, n. 5, p. 220, doi. 10.14569/ijacsa.2024.0150523
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Presenting a Hybrid Method to Overcome the Challenges of Determining the Uncertainty of Future Stock Price Identification.
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- International Journal of Advanced Computer Science & Applications, 2024, v. 15, n. 3, p. 261, doi. 10.14569/ijacsa.2024.0150327
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Presenting an Optimized Hybrid Model for Stock Price Prediction.
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- International Journal of Advanced Computer Science & Applications, 2024, v. 15, n. 1, p. 744, doi. 10.14569/ijacsa.2024.0150174
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Sentiment-Driven Forecasting LSTM Neural Networks for Stock Prediction-Case of China Bank Sector.
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- International Journal of Advanced Computer Science & Applications, 2023, v. 14, n. 11, p. 1, doi. 10.14569/ijacsa.2023.0141101
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Comparison between Forecasted Stock Prices and Original Stock Prices in the Karachi Stock Exchange.
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- Journal of Finance, Accounting & Management, 2015, v. 6, n. 2, p. 51
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FINANCIAL FORECASTING USING GENETIC ALGORITHMS.
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- Applied Artificial Intelligence, 1996, v. 10, n. 6, p. 543, doi. 10.1080/088395196118425
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FORECASTING FOREIGN EXCHANGE RATES USING RECURRENT NEURAL NETWORKS.
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- Applied Artificial Intelligence, 1996, v. 10, n. 6, p. 567, doi. 10.1080/088395196118434
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EMBEDDING TECHNICAL ANALYSIS INTO NEURAL NETWORK BASED TRADING SYSTEMS.
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- Applied Artificial Intelligence, 1996, v. 10, n. 6, p. 523, doi. 10.1080/088395196118416
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Enhancing Stock Price Prediction in the Indonesian Market: A Concave LSTM Approach with Runrelu.
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- Journal of Automation, Mobile Robotics & Intelligent Systems, 2024, v. 18, n. 3, p. 69, doi. 10.14313/jamris/3-2024/24
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SECURITY PRICE REACTION TO QUALITATIVE FORECAST INFORMATION.
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- Australian Journal of Management (University of New South Wales), 1986, v. 11, n. 2, p. 231, doi. 10.1177/031289628601100207
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Stock Price Booms and Expected Capital Gains.
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- American Economic Review, 2017, v. 107, n. 8, p. 2352, doi. 10.1257/aer.20140205
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- Article