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Quant finance research papers
9383 research papers selected for learning quantitative finance. Highlighted picks come first. Showing 6601–6650; page 133 of 188.
Predicting Realized Variance Out of Sample: Can Anything Beat The Benchmark?
Austin Pollok · 2025 · advanced · time series
machine learning · time series · volatility forecasting
Predicting Returns with Text Data
Zheng Ke, Dacheng Xiu · 2019 · advanced · machine learning
natural language processing
Predicting risk/reward ratio in financial markets for asset management using machine learning
Reza Yarbakhsh, Mahdieh Soleymani Baghshah, Hamidreza Karimaghaie · 2023 · intermediate · quantitative trading
algorithmic trading · financial machine learning · machine learning
Predicting Status of Pre and Post M&A Deals Using Machine Learning and Deep Learning Techniques
Tugce Karatas, Ali Hirsa · 2021 · intermediate · machine learning
deep learning · financial machine learning · machine learning · mergers and acquisitions · neural networks
Predicting Stock Market Crash with Bayesian Generalised Pareto Regression
Sourish Das · 2025 · advanced · risk management
bayesian statistics · equity markets · extreme value theory · market risk · regression · tail risk
Predicting Stock Price Direction on Earnings Announcement Days using Multi-modal Deep Learning
Manuel Noseda, Nathan Soldati, Marco Paina · 2026 · intermediate · machine learning
deep learning · financial machine learning · natural language processing · neural networks
Predicting Stock Price Movement as an Image Classification Problem
Matej Steinbacher · 2023 · intermediate · machine learning
deep learning · machine learning · neural networks
Predicting the Equity Premium with Dividend Ratios
Amit Goyal, Ivo Welch · 2002 · advanced · time series
asset pricing · regression · time series
Predicting the success of new crypto-tokens: the Pump.fun case
Giulio Marino, Manuel Naviglio, Francesco Tarantelli · 2026 · intermediate · machine learning
cryptocurrencies
Predicting the volatility of major energy commodity prices: the dynamic persistence model
Jozef Barunik, Lukas Vacha · 2024 · advanced · time series
commodities · econometrics · time series · volatility forecasting
Prediction accuracy and sloppiness of log-periodic functions
David S. Brée, Damien Challet, Pier Paolo Peirano · 2011 · advanced · time series
statistical inference · time series
Prediction of Cryptocurrency Prices through a Path Dependent Monte Carlo Simulation
Ayush Singh, Anshu K. Jha, Amit N. Kumar · 2024 · intermediate · time series
cryptocurrencies · jump processes · machine learning · monte carlo simulation · volatility forecasting
Prediction Of Cryptocurrency Prices Using LSTM, SVM And Polynomial Regression
Novan Fauzi Al Giffary, Feri Sulianta · 2024 · beginner · time series
cryptocurrencies · deep learning · machine learning · neural networks · regression · time series
Prediction of high-frequency futures return directions based on the mean uncertainty classification methods: An application in China's future market
Ying Peng, Yifan Zhang, Xin Wang · 2025 · advanced · machine learning
high frequency trading · machine learning
Prediction of linear fractional stable motions using codifference, with application to non-Gaussian rough volatility
Matthieu Garcin, Karl Sawaya, Thomas Valade · 2025 · advanced · time series
statistics · stochastic processes
Prediction-Enhanced Monte Carlo: A Machine Learning View on Control Variate
Fengpei Li, Haoxian Chen, Jiahe Lin · 2024 · advanced · options
machine learning · monte carlo simulation · option pricing
PredictionMarketBench: A SWE-bench-Style Framework for Backtesting Trading Agents on Prediction Markets
Avi Arora, Ritesh Malpani · 2026 · intermediate · quantitative trading
algorithmic trading · backtesting
Predictive Accuracy versus Interpretability in Energy Markets: A Copula-Enhanced TVP-SVAR Analysis
Fredy Pokou, Jules Sadefo Kamdem, Kpante Emmanuel Gnandi · 2026 · advanced · time series
copulas · econometrics · garch · machine learning · time series
Predictive AI for SME and Large Enterprise Financial Performance Management
Ricardo Cuervo · 2023 · intermediate · machine learning
bayesian statistics · financial machine learning · machine learning · neural networks · regression · risk management
Predictive AI with External Knowledge Infusion: Datasets and Benchmarks for Stock Markets
Ambedkar Dukkipati, Kawin Mayilvaghanan, Naveen Kumar Pallekonda · 2025 · advanced · machine learning
equity markets · financial machine learning · machine learning
Predictive Crypto-Asset Automated Market Making Architecture for Decentralized Finance using Deep Reinforcement Learning
Tristan Lim · 2022 · advanced · quantitative trading
cryptocurrencies · decentralized finance · deep learning · liquidity · market making · reinforcement learning
Predictive Decision Synthesis for Portfolios: Betting on Better Models
Emily Tallman, Mike West · 2024 · advanced · portfolio management
bayesian statistics · foreign exchange · portfolio management · portfolio optimization · time series
Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models
Ayoub Jadouli · 2026 · intermediate · quantitative trading
backtesting · cryptocurrencies · machine learning
Predictive gains from forecast combinations using time-varying model weights
Ravazzolo, F., van Dijk, H.K., Verbeek, M.J.C.M. · 2007 · advanced · time series
bayesian statistics · econometrics · time series
Predictive Performance of LSTM Networks on Sectoral Stocks in an Emerging Market: A Case Study of the Pakistan Stock Exchange
Ahad Yaqoob, Syed M. Abdullah · 2025 · intermediate · machine learning
deep learning · financial machine learning · machine learning · neural networks · time series
Predictive Power of LLMs in Financial Markets
Jerick Shi, Burton Hollifield · 2024 · intermediate · machine learning
large language models · machine learning · natural language processing
Predictive regressions based on managerial decision variables: Is therea small-sample bias?
Jeffrey A. Wurgler, Malcolm P. Baker, Ryan Taliaferro · 2011 · advanced · statistics
regression · statistical inference · time series
PreFER: Interactive Robo-Advisor with Scoring Mechanism
Yuwei Wang, Hoi Ying Wong · 2026 · advanced · machine learning
portfolio management
Preference robust distortion risk measures
Carole Bernard, Silvana M. Pesenti · 2026 · advanced · risk management
optimization
Preference-fitting Framework: Elicited Utility Function and PHARA Approximation
Rui Dai, Zongxia Liang, Yang Liu · 2026 · advanced · portfolio management
mathematical finance · optimization · portfolio optimization
Preferences, Consumption Smoothing and Risk Premia
Lettau, M., Uhlig, H.F.H.V.S. · 1997 · advanced · statistics
asset pricing · financial economics
Preferential Regulatory Treatment and Banks' Demand for Government Bonds
Bonner, Clemens · 2015 · advanced · risk management
banking
Preferred-habitat investors and the US term structure of real rates
Kaminska, Iryna, Vayanos, Dimitri, Zinna, Gabriele · 2011 · advanced · fixed income
asset pricing · fixed income · interest rates · term structure models
Pregeometric Origins of Liquidity Geometry in Financial Order Books
João P. da Cruz · 2026 · advanced · quantitative trading
liquidity
Preliminary remarks on option pricing and dynamic hedging
Michel Fliess, Cédric Join · 2012 · advanced · options
derivatives · option pricing · options hedging · time series
Preparing for the tax reform: the risky French households' portfolio in 2018
Luc Arrondel, Jérôme Coffinet · 2021 · intermediate · portfolio management
equity markets
Pretrained LLM Adapted with LoRA as a Decision Transformer for Offline RL in Quantitative Trading
Suyeol Yun · 2024 · advanced · machine learning
large language models · reinforcement learning · time series
Pretrained Time-Series Foundation Models for Financial Return Forecasting
Miquel Noguer I Alonso, Rodolfo Pereira Franklin · 2026 · advanced · time series
deep learning · financial machine learning · machine learning · neural networks · time series
Preventing crash in stock market: The role of economic policy uncertainty during COVID-19
Peng-Fei Dai, Xiong Xiong, Zhifeng Liu · 2020 · intermediate · time series
garch
Preventing financial ruin: how the West India trade fostered creativity in crisis lending by the Bank of England
Sissoko, Carolyn, Ishizu, Mina · 2026 · intermediate · risk management
banking
Preventing Household Bankruptcy: The One-Third Rule in Financial Planning with Mathematical Validation and Game-Theoretic Insights
Aditi Godbole, Zubin Shah, Ranjeet S. Mudholkar · 2025 · intermediate · risk management
behavioral finance
Price and Liquidity Spillovers during Fire Sale Episodes
Honkanen, Pekka, Schmidt, Daniel · 2017 · intermediate · statistics
equity markets · liquidity · liquidity risk · mutual funds
Price and Payoff Autocorrelations in a Multi-Period Consumption-Based Asset Pricing Model
Victor Olkhov · 2022 · advanced · time series
asset pricing · financial economics
Price and Wealth Dynamics in a Speculative Market with Generic Procedurally Rational Traders
Anufriev, M., Bottazzi, G. · 2006 · advanced · quantitative trading
asset pricing · financial economics
Price Bubbles Sans Dividend Anchors: Evidence from Laboratory Stock Markets
Shin'ichi Hirota, Shyam Sunder · 2007 · intermediate · statistics
asset pricing
Price Discovery at the Boundary of Contractual Decidability: Terminal-Value Gaps, Trading Availability, and Venue Finality on Kalshi
Maksym Nechepurenko · 2026 · intermediate · quantitative trading
quantitative trading
Price Dynamics in a Market with Heterogeneous Investment Horizons and Boundedly Rational Traders
Alexander Subbotin, Thierry Chauveau · 2010 · intermediate · time series
asset pricing · financial economics
Price dynamics in a Markovian limit order market
Rama Cont, Adrien De Larrard · 2011 · advanced · quantitative trading
market microstructure · probability · stochastic processes
Price dynamics, financial fragility and aggregate volatility
Antoine Mandel, Simone Landini, Mauro Gallegati · 2015 · advanced · risk management
financial economics
Price formation and optimal trading in intraday electricity markets
Olivier Féron, Peter Tankov, Laura Tinsi · 2020 · advanced · quantitative trading
optimal execution · optimization · stochastic processes