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Quant finance research papers
9383 research papers selected for learning quantitative finance. Highlighted picks come first. Showing 7851–7900; page 158 of 188.
Stock index futures trading impact on spot price volatility. The CSI 300 studied with a TGARCH model
Marcel Ausloos, Yining Zhang, Gurjeet Dhesi · 2021 · intermediate · time series
econometrics · garch · time series
Stock Investment: The p-index Approach
Xinzhao Xie, Bopei Nie, Kuo-Ping Chang · 2026 · intermediate · portfolio management
equity markets · momentum · option pricing
Stock Market Beliefs and Portfolio Choice in the General Population
Christian Zimpelmann · 2021 · intermediate · portfolio management
portfolio management
Stock Market Development and Economic Growth: A matter of informational problems
S Capasso · 2003 · advanced · other
credit markets · equity markets · financial economics
Stock Market Directional Bias Prediction Using ML Algorithms
Ryan Chipwanya · 2023 · intermediate · machine learning
financial machine learning · machine learning · neural networks · time series
Stock market downswing and the stability of European monetary union money demand
Carstensen, Kai · 2006 · intermediate · time series
econometrics · equity markets
Stock Market Liquidity and the Trading Costs of Asset Pricing Anomalies
Marie Brière, Charles‐Albert Lehalle, Tamara Nefedova · 2019 · intermediate · quantitative trading
transaction costs
Stock Market Mean Reversion and the Optimal Equity Allocation of a Long-Lived Investor
John Y. Campbell, Joao Cocco, Francisco Gomes · 2000 · advanced · portfolio management
portfolio management · portfolio optimization
Stock market microstructure inference via multi-agent reinforcement learning
J. Lussange, I. Lazarevich, S. Bourgeois-Gironde · 2019 · advanced · quantitative trading
machine learning · market microstructure · reinforcement learning
Stock market participation, portfolio choice and pensions over the life-cycle
Ball, S. · 2007 · intermediate · portfolio management
financial economics · pensions
Stock Market Performance in the Media: Reporting Big News, Missing the Big Picture?
Antonio Ciccone, Felix Rusche · 2026 · intermediate · statistics
equity markets · financial economics
Stock Market Prediction Using Node Transformer Architecture Integrated with BERT Sentiment Analysis
Mohammad Al Ridhawi, Mahtab Haj Ali, Hussein Al Osman · 2026 · advanced · machine learning
deep learning · financial machine learning · machine learning · natural language processing · neural networks · time series
Stock Market Prediction via Deep Learning Techniques: A Survey
Jinan Zou, Qingying Zhao, Yang Jiao · 2022 · intermediate · machine learning
deep learning · machine learning · neural networks
Stock Market Price Prediction using Neural Prophet with Deep Neural Network
Navin Chhibber, Sunil Khemka, Navneet Kumar Tyagi · 2026 · intermediate · machine learning
deep learning · machine learning · neural networks · time series
Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test (Revised: 29-87)
Andrew W. Lo, Craig A. MacKinlay · intermediate · time series
econometrics · hypothesis testing · statistical inference · time series
Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test (Revision of 5-87)
Andrew W. Lo, Craig A. MacKinlay · intermediate · time series
econometrics · hypothesis testing · statistics · time series
Stock Market Reactions to Conflict Diamond Trading Restrictions and Controversies
William Seitz · 2012 · intermediate · statistics
equity markets · financial economics
Stock Market Returns in the Long Run: Participating in the Real Economy
Roger Ibbotson, Peng Chen · 2002 · intermediate · statistics
equity markets
Stock market spillovers via the global production network: Transmission of U.S. monetary policy
Julian di Giovanni, Galina Hale · 2020 · advanced · statistics
econometrics · equity markets
Stock market tournaments
Ozdenoren, Emre, Yuan, Kathy · 2012 · advanced · other
other
Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory
Mingwen Liu, Junbang Huo, Yulin Wu · 2021 · intermediate · machine learning
deep learning · machine learning · neural networks
Stock Market Volatility and Learning
Klaus Adam, Albert Marcet, Juan Pablo Nicolini · 2011 · advanced · other
asset pricing · econometrics
Stock Movement Prediction with Financial News using Contextualized Embedding from BERT
Qinkai Chen · 2021 · advanced · machine learning
deep learning · financial machine learning · machine learning · natural language processing · neural networks
Stock Movement Prediction with Multimodal Stable Fusion via Gated Cross-Attention Mechanism
Chang Zong, Hang Zhou · 2024 · advanced · machine learning
deep learning · financial machine learning · machine learning · neural networks
Stock Performance Evaluation for Portfolio Design from Different Sectors of the Indian Stock Market
Jaydip Sen, Arpit Awad, Aaditya Raj · 2022 · intermediate · portfolio management
backtesting · deep learning · machine learning · portfolio optimization · regression · time series
Stock Prediction: a method based on extraction of news features and recurrent neural networks
Zeya Zhang, Weizheng Chen, Hongfei Yan · 2017 · intermediate · machine learning
deep learning · machine learning · natural language processing · neural networks
Stock price formation: useful insights from a multi-agent reinforcement learning model
J. Lussange, S. Bourgeois-Gironde, S. Palminteri · 2019 · advanced · machine learning
machine learning · reinforcement learning
Stock price jumps: news and volume play a minor role
CFM · 2008 · advanced · time series
jump processes · market microstructure
Stock Price Prediction and Traditional Models: An Approach to Achieve Short-, Medium- and Long-Term Goals
Opeyemi Sheu Alamu, Md Kamrul Siam · 2024 · intermediate · time series
deep learning · machine learning · neural networks · statistics · time series
Stock Price Prediction Using a Hybrid LSTM-GNN Model: Integrating Time-Series and Graph-Based Analysis
Meet Satishbhai Sonani, Atta Badii, Armin Moin · 2025 · intermediate · machine learning
deep learning · financial machine learning · machine learning · neural networks · time series
Stock Price Prediction using Dynamic Neural Networks
David Noel · 2023 · beginner · machine learning
financial machine learning · machine learning · neural networks · time series
Stock price reaction to power outages following extreme weather events: Evidence from Texas power outage
Sherry Hu, Kose John, Balbinder Singh Gill · 2022 · intermediate · statistics
asset pricing · equity markets · statistics
Stock prices under pressure: how tax and interest rates drive returns at the turn of the tax year
Kang, Johnny, Pekkala, Tapio, Polk, Christopher · 2011 · intermediate · statistics
asset pricing · equity markets · interest rates
Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Mean-Variance Efficient Sampling
Youngbin Lee, Yejin Kim, Javier Sanz-Cruzado · 2024 · advanced · machine learning
machine learning · neural networks
Stock Return and Cash Flow Predictability: The Role of Volatility Risk
Tim Bollerslev, Lai Xu, Hao Zhou · 2012 · advanced · time series
asset pricing · financial economics
Stock returns forecast: an examination by means of Artificial Neural Networks
Martin Iglesias Caride, Aurelio F. Bariviera, Laura Lanzarini · 2018 · intermediate · machine learning
machine learning · market efficiency · neural networks · time series
Stock Returns, Inflation and the Volatility of Growth in the Money Supply
John M. Liew · 1995 · intermediate · statistics
asset pricing · equity markets
Stock selection strategies in emerging markets
Jaap van der Hart, Erica Slagter, Dick van Dijk · 2003 · intermediate · portfolio management
behavioral finance · momentum
Stock Trading Volume Prediction with Dual-Process Meta-Learning
Ruibo Chen, Wei Li, Zhiyuan Zhang · 2022 · advanced · machine learning
financial machine learning · machine learning
Stock Type Prediction Model Based on Hierarchical Graph Neural Network
Jianhua Yao, Yuxin Dong, Jiajing Wang · 2024 · intermediate · machine learning
deep learning · machine learning · neural networks · time series
Stock Volume Forecasting with Advanced Information by Conditional Variational Auto-Encoder
Parley R Yang, Alexander Y Shestopaloff · 2024 · intermediate · time series
deep learning · machine learning · neural networks · time series
Stock-bond return co-movement and accounting information
Cascino, Stefano · 2017 · intermediate · fixed income
fixed income
STOCK-JEPA: Prior-Anchored Latent Revision Representation Learning in Equity Markets
Yizhi Luo, Jiahe Yi, Jianhui Zhang · 2026 · advanced · machine learning
deep learning · equity markets · financial machine learning · machine learning
StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series
Jean Lee, Hoyoul Luis Youn, Josiah Poon · 2023 · intermediate · machine learning
deep learning · financial machine learning · machine learning · natural language processing · neural networks · time series
Stockformer: A Price-Volume Factor Stock Selection Model Based on Wavelet Transform and Multi-Task Self-Attention Networks
Bohan Ma, Yushan Xue, Yuan Lu · 2023 · advanced · machine learning
deep learning · financial machine learning · machine learning · neural networks · time series
StockGPT: A GenAI Model for Stock Prediction and Trading
Dat Mai · 2024 · advanced · machine learning
deep learning · financial machine learning · machine learning · neural networks
Stockholding in France: the role of financial literacy and information
Luc Arrondel, Majdi Debbich, Frédéric Savignac · 2015 · intermediate · statistics
financial economics
StockMem: An Event-Reflection Memory Framework for Stock Forecasting
He Wang, Wenyilin Xiao, Songqiao Han · 2025 · intermediate · machine learning
financial machine learning · large language models · machine learning · natural language processing
Stocks are a Good Hedge for Inflation (In the Long Run)
Jacob Boudoukh, Matthew Richardson · intermediate · statistics
equity markets · financial economics
Stocks Hedge Against Inflation In The Long Run: Evidence From A Coin- Tegration Analysis For Denmark
Olesen, Jan Overgaard · 2000 · intermediate · statistics
econometrics · hypothesis testing · time series