Suchergebnisse - "STOCK price forecasting"

The Market Inside the Market: Odd-Lot Quotes.

Autoren: Bartlett, Robert P McCrary, Justin O'Hara, Maureen

Quelle: Review of Financial Studies. Mar2025, Vol. 38 Issue 3, p661-711. 51p.

Schlagwörter: *ODD lot trading, *STOCK price forecasting, *STOCKS (Finance), *BID price, MACHINE learning

Firma/Körperschaft: UNITED States. Securities & Exchange Commission

Stock price prediction based on generative adversarial network.

Autoren: Lin, Yuhao Qin, Zheng Song, Bo et al.

Quelle: Applied Economics. Nov2025, p1-16. 16p. 11 Illustrations.

Schlagwörter: *STOCK price forecasting, *FORECASTING, *INVESTMENT risk, GENERATIVE adversarial networks, MACHINE learning

Reliability of Technical Stock Price Pattern Predictability.

Autoren: Lutey, Matt Maroney, Neal

Quelle: Journal of Investing. Oct2025, Vol. 34 Issue 6, p114-123. 10p.

Schlagwörter: *STOCK price forecasting, *FINANCIAL databases, *RANDOM walks, *FORECASTING, *CHAOS theory, *ESTIMATION theory, MACHINE learning, STOCK charts

A Novel Decomposition‐Ensemble Approach for Forecasting Stock Price With Quantum Neural Network and Big Data.

Autoren: Liu, Shuihan Xie, Gang

Quelle: Journal of Forecasting. Oct2025, p1. 24p. 12 Illustrations.

Schlagwörter: *STOCK price forecasting, *QUANTUM computing, *FORECASTING, *BIG data, *EMPIRICAL research, *FORECASTING methodology, *FINANCIAL markets

Comparison of the TGARCH and EGARCH model in forecasting the closing stock price of PT. Bank central Asia TbK.

Autoren: Ariyoga, Anindya Hapsari Aeli, Lita Wulandari

Quelle: AIP Conference Proceedings. 2025, Vol. 3446 Issue 1, p1-13. 13p.

Schlagwörter: *STOCK price forecasting, *GARCH model, *HETEROSCEDASTICITY, *INVESTMENT risk, *MARKET volatility, *ARCH model (Econometrics), *BANKING industry

Firma/Körperschaft: PT Bank Central Asia Tbk

Regression analysis for the prediction of Bombay stock exchange sensex.

Autoren: Sharma, Amit¹ (AUTHOR) amitosis@rediffmail.com

Quelle: AIP Conference Proceedings. 2025, Vol. 3297 Issue 1, p1-6. 6p.

Schlagwörter: *REGRESSION analysis, *STOCK price forecasting, *MACROECONOMICS, *FINANCIAL markets, *MARKET sentiment, *TREND analysis, *EFFICIENT market theory

Geografische Kategorien: INDIA

Firma/Körperschaft: BSE Ltd.

Improving stock price prediction by using an attention-based hybrid neural network architecture.

Autoren: Gyawali, Unmik Bhattarai, Ashutosh Verma, Abhishek et al.

Quelle: AIP Conference Proceedings. 2025, Vol. 3297 Issue 1, p1-7. 7p.

Schlagwörter: *STOCK price forecasting, *LONG short-term memory, *BUSINESS forecasting, *STATISTICAL accuracy, *CONVOLUTIONAL neural networks, *NEURAL computers

Graphical deep learning-based data-driven stock prediction model.

Autoren: Byeon, Haewon Prakash, Bishwajeet Soni, Mukesh et al.

Quelle: AIP Conference Proceedings. 2025, Vol. 3335 Issue 1, p1-11. 11p.

Schlagwörter: *STOCK price forecasting, *GRAPH neural networks, *LOSS functions (Statistics), *MACHINE learning

A comparative analysis of stochastic models for stock price forecasting: The influence of historical data duration and volatility regimes.

Autoren: Kahssay, Mulualem Miah, Shihan

Quelle: Quantitative Finance & Economics. 2025, Vol. 9 Issue 3, p1-29. 29p.

Schlagwörter: *STOCK price forecasting, *STOCHASTIC models, *MONTE Carlo method, *MARKET volatility, HISTORICAL source material

Improving Trading Profitability of Option Strategies Based on Stock Price Prediction Using ARIMA Model.

Autoren: Dave, Kaival Patel, Ruchita

Quelle: IUP Journal of Accounting Research & Audit Practices. Jul-Sep2025, Vol. 24 Issue 3, p152-168. 17p.

Schlagwörter: *STOCK price forecasting, *OPTIONS (Finance), *RISK-return relationships, *PROFITABILITY, *STOCKS (Finance), *BOX-Jenkins forecasting, *LARGE capitalization stocks

STOCK PRICE FORECASTING AND PORTFOLIO SELECTION THROUGH MACHINE LEARNING: AN APPLICATION ON BIST PARTICIPATION 30 INDEX.

Autoren: GÖZKONAN, Ümit Hasan KARĞIN, Mahmut

Quelle: Journal of Management & Economics Research. Sep2025, Vol. 23 Issue 3, p99-121. 23p.

Schlagwörter: *STOCK price forecasting, *STOCK price indexes, *INVESTMENT policy, *PORTFOLIO management (Investments), *ANALYSIS of variance, *REGRESSION analysis, MACHINE learning, RECURRENT neural networks

Information Illusion: Different Amounts of Information and Stock Price Estimates.

Autoren: Oehler, Andreas Horn, Matthias Wendt, Stefan

Quelle: Journal of Forecasting. Aug2025, Vol. 44 Issue 5, p1734-1754. 21p.

Schlagwörter: *STOCK price forecasting, *INVESTORS, *INDIVIDUAL investors, INFORMATION overload, RESEARCH personnel

Stock Price Forecasting With Integration of Sectoral Behavior: A Deep Auto‐Optimized Multimodal Framework.

Autoren: Saraswat, Renu Kumar, Ajit

Quelle: Journal of Forecasting. Aug2025, Vol. 44 Issue 5, p1767-1784. 18p.

Schlagwörter: *STOCK price forecasting, *STOCK price indexes, MACHINE learning, PREDICTION models, MEMORY

Informer-Based Method for Stock Intraday Price Prediction.

Autoren: Zhang, Chen Sun, Yu Ding, Ying et al.

Quelle: International Journal of Computational Intelligence & Applications. Sep2025, Vol. 24 Issue 3, p1-22. 22p.

Schlagwörter: *STOCKS (Finance), *STOCK price forecasting, *DAY trading (Securities), *TECHNICAL analysis (Investment analysis), PREDICTION models, LONG short-term memory, MACHINE learning, PATTERN perception

Geografische Kategorien: CHINA

Predictive Power of ESG Factors for DAX ESG 50 Index Forecasting Using Multivariate LSTM.

Autoren: Rosinus, Manuel Lansky, Jan

Quelle: International Journal of Financial Studies. Sep2025, Vol. 13 Issue 3, p167. 24p.

Schlagwörter: *STOCK price forecasting, *FINANCIAL markets, *STOCK price indexes, *SUSTAINABLE investing, LONG short-term memory, MACHINE learning, PREDICTIVE tests, PREDICTIVE validity

SGR-Net: A Synergistic Attention Network for Robust Stock Market Forecasting.

Autoren: Khansama, Rasmi Ranjan Priyadarshini, Rojalina Nanda, Surendra Kumar et al.

Quelle: Forecasting. Sep2025, Vol. 7 Issue 3, p50. 36p.

Schlagwörter: *STOCK price forecasting, *BUSINESS forecasting, *STOCK price indexes, *ECONOMIC indicators, DEEP learning

On the Optimal Selection of Time‐Lag Embedding Dimension for Deep Learning Approaches in Financial Forecasting With Big Data.

Autoren: Ghadimpour, Mohammadreza Ebrahimi, Seyed Babak Bekrios, Stelios et al.

Quelle: Journal of Forecasting. Sep2025, p1. 8p. 10 Illustrations.

Schlagwörter: *STOCK price forecasting, *STANDARD & Poor's 500 Index, *TIME series analysis, *BUSINESS forecasting, DEEP learning, DATA quality, LONG short-term memory, RECURRENT neural networks

Place Your Bets? The Value of Investment Research on Reddit's Wallstreetbets.

Autoren: Bradley, Daniel Hanousek, Jan Jame, Russell et al.

Quelle: Review of Financial Studies. May2024, Vol. 37 Issue 5, p1409-1459. 51p.

Schlagwörter: *STOCK price forecasting, *INVESTMENTS, *INDIVIDUAL investors, *DUE diligence, *INTERNET forums, *RETAIL industry

Firma/Körperschaft: GAMESTOP Corp. GME

Reviews & Products: REDDIT (Web resource)

On the informativeness of unexpected exclusions from street earnings.

Autoren: Bratten, Brian Larocque, Stephannie Yohn, Teri

Quelle: Contemporary Accounting Research. Jun2024, Vol. 41 Issue 2, p809-841. 33p.

Schlagwörter: *STOCK price forecasting, *RATE of return on stocks, *FINANCIAL market reaction, *INVESTORS, *FINANCIAL statements, *EARNINGS forecasting

Estimating the changes and oscillations in the financial markets: a case study of the Nikkei 225.

Autoren: Yu, Wei¹ (AUTHOR) 2012201050177@whu.edu.cn

Quelle: Sādhanā: Academy Proceedings in Engineering Sciences. Dec2025, Vol. 50 Issue 4, p1-11. 11p.

Schlagwörter: *STOCK price forecasting, *RECURRENT neural networks, *METAHEURISTIC algorithms, *PREDICTIVE validity, *MARKET volatility, *MACHINE learning, *FINANCIAL markets, *STOCK price indexes