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Quant finance research papers
9383 research papers selected for learning quantitative finance. Highlighted picks come first. Showing 3751–3800; page 76 of 188.
Foreign Signal Radar
Wei Jiao · 2025 · advanced · machine learning
financial machine learning · machine learning · market efficiency
ForesightFlow: An Information Leakage Score Framework for Prediction Markets
Maksym Nechepurenko · 2026 · advanced · quantitative trading
quantitative trading
Forex Trading Strategy That Might Be Executed Due to the Popularity of Gotobi Anomaly
Hiroki Bessho, Takanari Sugimoto, Tomoya Suzuki · 2023 · intermediate · quantitative trading
foreign exchange
Forking paths in financial economics
Guillaume Coqueret · 2023 · advanced · statistics
asset pricing · hypothesis testing · statistical inference
Formalizing the Cox-Ross-Rubinstein pricing of European derivatives in Isabelle/HOL
Mnacho Echenim, Hervé Guiol, Nicolas Peltier · 2018 · intermediate · options
asset pricing · derivatives · mathematical finance · option pricing
Forward Evolution Equations for Knock-Out Options
Peter Carr, Ali Hirsa · 2007 · advanced · options
derivatives · jump processes · mathematical finance · option pricing · partial differential equations · stochastic processes
Forward Hedging Reshapes Incentive Provision
René Aïd, Nizar Touzi, Stéphane Villeneuve · 2026 · advanced · derivatives
derivatives · optimization · risk management
Forward Performance Processes under Multiple Default Risks
Wing Fung Chong, Roxana Dumitrescu, Gechun Liang · 2026 · advanced · stochastic calculus
credit risk · mathematical finance · stochastic calculus · stochastic differential equations
Forward robust portfolio selection: The binomial case
Harrison Waldon · 2024 · advanced · portfolio management
optimization · portfolio management · portfolio optimization
Forward Selection Fama-MacBeth Regression with Higher-Order Asset Pricing Factors
Nicola Borri, Denis Chetverikov, Yukun Liu · 2025 · advanced · statistics
asset pricing · econometrics · regression
Forward-Looking Stress Testing Under Macro Scenarios: Stable SVaR Estimation Using a Hybrid GPR-HS Framework with SACS
Ujjwala Vadrevu · 2026 · advanced · risk management
machine learning · market risk · risk management · stress testing
Forward-Oriented Causal Observables for Non-Stationary Financial Markets
Lucas A. Souza · 2025 · advanced · time series
time series
Forward-Time Black-Scholes Reconstruction via Regularized Legendre Reduction
Phuong M. Nguyen, Matt Nguyen, Loc H. Nguyen · 2026 · advanced · options
numerical methods · option pricing · partial differential equations
Foundation Time-Series AI Model for Realized Volatility Forecasting
Anubha Goel, Puneet Pasricha, Martin Magris · 2025 · advanced · time series
financial machine learning · machine learning · time series · volatility forecasting
Four Centuries of Return Predictability
Golez, Benjamin, Koudijs, Peter · 2015 · advanced · time series
asset pricing · statistics · time series
Four-factor model of Quanto CDS with jumps-at-default and stochastic recovery
Andrey Itkin, Fazlollah Soleymani · 2019 · advanced · fixed income
credit derivatives · derivatives · jump processes · numerical methods · partial differential equations
Fourier-Laplace transforms in polynomial Ornstein-Uhlenbeck volatility models
Eduardo Abi Jaber, Shaun, Li · 2024 · advanced · options
mathematical finance · stochastic processes
FR-LUX: Friction-Aware, Regime-Conditioned Policy Optimization for Implementable Portfolio Management
Jian'an Zhang · 2025 · advanced · quantitative trading
machine learning · portfolio management · reinforcement learning · transaction costs
Fractional Barndorff-Nielsen and Shephard model: applications in variance and volatility swaps, and hedging
Nicholas Salmon, Indranil SenGupta · 2021 · advanced · stochastic calculus
brownian motion · stochastic processes · volatility trading
Fractional Cointegration In StochasticVolatility Models
Afonso Gonçalves da Silva, Peter M Robinson · 2007 · advanced · time series
econometrics · monte carlo simulation · statistical inference · time series
Fragmentation and optimal liquidity supply on decentralized exchanges
Alfred Lehar, Christine Parlour, Marius Zoican · 2023 · advanced · quantitative trading
decentralized finance · liquidity · market microstructure
Fragmentation, Price Formation, and Cross-Impact in Bitcoin Markets
Jakob Albers, Mihai Cucuringu, Sam Howison · 2021 · advanced · quantitative trading
algorithmic trading · cryptocurrencies · high frequency trading · market microstructure · transaction costs
Framework for Analyzing Spatial Contagion between Financial Markets
Brendan Bradley, Murad S. Taqqu · 2004 · advanced · risk management
contagion · statistics
Framework for asset-liability management with fixed-term securities
Yevhen Havrylenko · 2025 · advanced · portfolio management
optimization · portfolio management · portfolio optimization
Fredholm Approach to Nonlinear Propagator Models
Eduardo Abi Jaber, Alessandro Bondi, Nathan De Carvalho · 2025 · advanced · quantitative trading
optimal execution · optimization
Free Cash-Flow, Issuance Costs and Stock Price Volatility
Décamps, Jean-Paul, Mariotti, Thomas, Rochet, Jean-Charles · 2008 · advanced · other
corporate finance
Free Lunches with Vanishing Risks Most Likely Exist
Eckhard Platen, Kevin Fergusson · 2025 · advanced · stochastic calculus
asset pricing · mathematical finance
From a “normal recession” to the “Great Depression”: finding the turning point in Chicago bank portfolios, 1923-1933
Postel-Vinay, Natacha · 2011 · intermediate · risk management
banking
From Accuracy to Auditability: A Survey of Determinism in Financial AI Systems
Ruizhe Zhou, Xiaoyang Liu, Gaoyuan Du · 2026 · advanced · machine learning
credit risk · financial machine learning · machine learning
From Arbitrage Removal to Density Extraction: A Model-Free Framework for Short-Dated Options
Aaron Wizman, Gabriel Turinici, Gregory Merran · 2026 · advanced · options
derivatives
From Binary Screens to Continuous Compliance: A Shariah Screening Measure for Portfolio Design
Abdulrahman Qadi, Akash Sharma, Francesca Medda · 2025 · intermediate · portfolio management
equity markets
From Classical Optimization to Bayesian Integration: A Comprehensive Analysis of Systematic Portfolio Management
Ajay Kumar Verma, Shravya Barkam · 2026 · intermediate · portfolio management
monte carlo simulation · optimization · portfolio management · portfolio optimization · regression
From Classical Rationality to Contextual Reasoning: Quantum Logic as a New Frontier for Human-Centric AI in Finance
Fabio Bagarello, Francesco Gargano, Polina Khrennikova · 2025 · advanced · machine learning
financial machine learning · machine learning · neural networks
From Cointegration to Out-of-Sample Failure: A Pairs-Trading Case Study on PEP-KO
Davide Graziano · 2026 · intermediate · quantitative trading
backtesting · econometrics · pairs trading · statistical arbitrage
From Data Acquisition to Lag Modeling: Quantitative Exploration of A-Share Market with Low-Coupling System Design
Jianyong Fang, Sitong Wu, Junfan Tong · 2025 · advanced · time series
regression · time series
From debt crises to financial crashes (and back): a stock-flow consistent model for stock price bubbles
Matheus R. Grasselli, Adrien Nguyen-Huu · 2026 · advanced · risk management
financial economics · jump processes · stochastic processes
From Deep Learning to LLMs: A survey of AI in Quantitative Investment
Bokai Cao, Saizhuo Wang, Xinyi Lin · 2025 · intermediate · machine learning
deep learning · financial machine learning · large language models · machine learning
From Discrete Trailing Returns to a Continuous Graphical Profile: Return-to-Present Curves
Lei Liu · 2026 · beginner · portfolio management
portfolio management
From Discrete-Time Models to Continuous-Time, Asynchronous Models of Financial Markets
Boer-Sorban, K., Kaymak, U., Spiering, J. · 2006 · advanced · quantitative trading
market making · market microstructure
From electricity prices to profits: multidimensional probabilistic forecasting for BESS trading
Tomasz Weron, Katarzyna Maciejowska · 2026 · advanced · time series
probability · statistics · time series
From Exponential to Polynomial: An Exact Filter for High-Dimensional MSM Models
Daniyal Ali Hameedi · 2026 · advanced · time series
stochastic processes
From Factor Models to Deep Learning: Machine Learning in Reshaping Empirical Asset Pricing
Junyi Ye, Bhaskar Goswami, Jingyi Gu · 2024 · intermediate · machine learning
asset pricing · deep learning · financial machine learning · machine learning
From fair price to fair volatility: Towards an Efficiency-Consistent Definition of Financial Risk
Sergio Bianchi, Daniele Angelini, Massimiliano Frezza · 2025 · advanced · time series
brownian motion · stochastic processes
From Financial Repression to External Distress: The Case of Venezuela
Carmen Reinhart, Miguel Angel Santos · 2015 · intermediate · risk management
interest rates
From Financial Sentiment Classification to Return Predictability: A QLoRA Benchmark of Large Language Models
Fusheng Luo · 2026 · intermediate · machine learning
deep learning · large language models · machine learning · natural language processing
From GARCH to Neural Network for Volatility Forecast
Pengfei Zhao, Haoren Zhu, Wilfred Siu Hung NG · 2024 · advanced · time series
deep learning · garch · machine learning · neural networks · time series · volatility forecasting
From Glosten-Milgrom to the whole limit order book and applications to financial regulation
Weibing Huang, Sergio Pulido, Mathieu Rosenbaum · 2025 · advanced · quantitative trading
market making · market microstructure
From Headlines to Holdings: Deep Learning for Smarter Portfolio Decisions
Yun Lin, Jiawei Lou, Jinghe Zhang · 2025 · advanced · portfolio management
deep learning · financial machine learning · machine learning · natural language processing · neural networks · portfolio optimization
From Hypotheses to Factors: Constrained LLM Agents in Cryptocurrency Markets
Yikuan Huang, Zheqi Fan, Kaiqi Hu · 2026 · advanced · machine learning
backtesting · cryptocurrencies · factor investing · financial machine learning · large language models
From Index to Equity: Pre-Training Transformers for Stock Return Prediction
Marie Soehl Coolsaet, Roberto Gallardo, Zhen Gao · 2026 · intermediate · machine learning
deep learning · financial machine learning · machine learning · neural networks · regression · time series