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Quant finance research papers
9383 research papers selected for learning quantitative finance. Highlighted picks come first. Showing 3651–3700; page 74 of 188.
Fixed-Income Pricing and the Replication of Liabilities
Damir Filipović · 2025 · advanced · fixed income
fixed income · mathematical finance
FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading
Guojun Xiong, Zhiyang Deng, Keyi Wang · 2025 · advanced · machine learning
deep learning · financial machine learning · large language models · neural networks · reinforcement learning
FLAIR: A Metric for Liquidity Provider Competitiveness in Automated Market Makers
Jason Milionis, Xin Wan, Austin Adams · 2023 · intermediate · quantitative trading
liquidity · market making
Flash Boys 2.0: Frontrunning, Transaction Reordering, and Consensus Instability in Decentralized Exchanges
Philip Daian, Steven Goldfeder, Tyler Kell · 2019 · advanced · quantitative trading
algorithmic trading · systemic risk
Flat-Top Realized Kernel Estimation of Quadratic Covariation with Non-Synchronous and Noisy Asset Prices
Rasmus Tangsgaard Varneskov · 2011 · advanced · statistics
market microstructure · statistics
Flaunt the imperfections: information, entanglements and the regulation of London’s Alternative Investment Market
Roscoe, Philip, Willman, Paul · 2021 · intermediate · other
market efficiency
Flexible Information Acquisition in the Kyle Model
S. Viswanathan, Hao Xing · 2026 · advanced · quantitative trading
financial economics · optimization
Flexible Labour, Income Effects, and Asset Prices
Rahul Nath · 2018 · advanced · other
asset pricing
Flexible Multivariate GARCH Modeling With an Application to International Stock Markets
Ledoit, Olivier, Santa-Clara, Pedro, Wolf, Michael · 1999 · advanced · time series
garch · numerical methods · statistics · time series
Flexible time series models for subjective distribution estimation with monetary policy in view
Dominique Guegan, Florian Ielpo · 2007 · advanced · time series
econometrics · interest rates · statistics · time series
Flickering in Information Spreading Precedes Critical Transitions in Financial Markets
Hayette Gatfaoui, Philippe de Peretti · 2019 · advanced · risk management
risk management
Flight to quality, flight to liquidity, and the pricing of risk
Vayanos, Dimitri · 2004 · advanced · risk management
asset pricing · liquidity · liquidity risk · transaction costs
Floating exercise boundaries for American options in time-inhomogeneous models
Andrey Itkin, Yerkin Kitapbayev · 2025 · advanced · options
option pricing · partial differential equations
Flow Taxes, Stock Taxes, and Portfolio Choice: A Generalised Neutrality Result
Anders G Frøseth · 2026 · advanced · portfolio management
stochastic processes
FlowHFT: Imitation Learning via Flow Matching Policy for Optimal High-Frequency Trading under Diverse Market Conditions
Yang Li, Zhi Chen, Steve Yang · 2025 · advanced · quantitative trading
high frequency trading · machine learning
FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching
Zhuohan Wang, Andreea Bacalum, Ollie Olby · 2026 · advanced · machine learning
deep learning · neural networks
FlowOE: Imitation Learning with Flow Policy from Ensemble RL Experts for Optimal Execution under Heston Volatility and Concave Market Impacts
Yang Li, Zhi Chen · 2025 · advanced · quantitative trading
machine learning · optimal execution
Fluctuations and response in financial markets: the subtle nature of ‘random’ price changes
Jean‐Philippe Bouchaud, Yuval Gefen, Marc Potters · 2004 · advanced · quantitative trading
market microstructure · time series
Fluid-Limits of Fragmented Limit-Order Markets
Johannes Muhle-Karbe, Eyal Neuman, Yonatan Shadmi · 2024 · advanced · quantitative trading
market microstructure
FLUXLAYER: High-Performance Design for Cross-chain Fragmented Liquidity
Xin Lao, Shiping Chen, Qin Wang · 2025 · advanced · quantitative trading
liquidity
FNSPID: A Comprehensive Financial News Dataset in Time Series
Zihan Dong, Xinyu Fan, Zhiyuan Peng · 2024 · intermediate · machine learning
machine learning · time series
Fokker-Planck description for the queue dynamics of large tick stocks
A. Gareche, G. Disdier, J. Kockelkoren · 2013 · advanced · quantitative trading
partial differential equations · stochastic processes
Follow the Leader: Enhancing Systematic Trend-Following Using Network Momentum
Linze Li, William Ferreira · 2025 · advanced · quantitative trading
commodities · momentum · portfolio management · time series · trend following
Follow the money: Does the financial sector intermediate natural resources windfalls?
Thorsten Beck, Steven Poelhekke · 2017 · intermediate · risk management
banking · econometrics
Fool's gold: the impact of Venezuelan currency devaluations on multinational stock prices
Bahar, Dany, Molina, Carlos A., Santos, Miguel Angel · 2018 · intermediate · statistics
equity markets · foreign exchange · statistical inference
Forecast bankruptcy using a blend of clustering and MARS model - Case of US banks
Zeineb Affes, Rania Hentati-Kaffel · 2016 · intermediate · risk management
banking · machine learning · statistics
Forecast collapse of transformer-based models under squared loss in financial time series
Pierre Andreoletti · 2026 · advanced · time series
deep learning · financial machine learning · machine learning · statistics · time series
Forecast-to-Fill: Benchmark-Neutral Alpha and Billion-Dollar Capacity in Gold Futures (2015-2025)
Mainak Singha, Jose Aguilera-Toste, Vinayak Lahiri · 2025 · intermediate · quantitative trading
algorithmic trading · backtesting · momentum · risk management · trend following
Forecasting and Backtesting Gradient Allocations of Expected Shortfall
Takaaki Koike, Cathy W. S. Chen, Edward M. H. Lin · 2024 · advanced · risk management
regression · risk management
Forecasting and Prequential Validation for Time Varying Meta-Elliptical Distributions with a Study of Commodity Futures Prices
Sancetta, A., Nikanrova, A. · 2005 · advanced · time series
commodities · econometrics · statistics · time series
Forecasting and Trading Monetary Policy Effects on the Riskless Yield Curve with Regime Switching Nelson†Siegel Models
Massimo Guidolin, Manuela Pedio · 2019 · advanced · fixed income
econometrics · fixed income · interest rates · term structure models · time series
Forecasting and Trading Monetary Policy Switching Nelson-Siegel Models
Massimo Guidolin, Manuela Pedio · 2019 · advanced · fixed income
interest rates · term structure models · time series
Forecasting bankruptcy and physical default intensity
Zhou, Ping · 2007 · intermediate · risk management
credit risk
Forecasting Bitcoin volatility spikes from whale transactions and CryptoQuant data using Synthesizer Transformer models
Dorien Herremans, Kah Wee Low · 2022 · advanced · time series
cryptocurrencies · deep learning · financial machine learning · time series · volatility forecasting
Forecasting Bitcoin Volatility: A Comparative Analysis of Volatility Approaches
Cristina Chinazzo, Vahidin Jeleskovic · 2024 · intermediate · time series
cryptocurrencies · garch · time series · volatility forecasting
Forecasting Commodity Futures Returns: An Economic Value Analysis of Macroeconomic vs. Specific Factors
Massimo Guidolin, Manuela Pedio · 2018 · advanced · time series
commodities · momentum · regression · time series
Forecasting Commodity Price Shocks Using Temporal and Semantic Fusion of Prices Signals and Agentic Generative AI Extracted Economic News
Mohammed-Khalil Ghali, Cecil Pang, Oscar Molina · 2025 · advanced · time series
commodities · deep learning · financial machine learning · machine learning · natural language processing · neural networks
Forecasting Company Fundamentals
Felix Divo, Eric Endress, Kevin Endler · 2024 · intermediate · time series
deep learning · financial machine learning · machine learning · time series
Forecasting Covariance Matrices: A Mixed Frequency Approach
Roxana Halbleib, Valeri Voev · 2011 · advanced · time series
econometrics · statistics · time series · volatility forecasting
Forecasting Credit Dynamics : VAR, VECM or modern Factor-Augmented VAR approach?
Szydlo, Jan · 2023 · intermediate · time series
econometrics · time series
Forecasting Credit Ratings: A Case Study where Traditional Methods Outperform Generative LLMs
Felix Drinkall, Janet B. Pierrehumbert, Stefan Zohren · 2024 · advanced · machine learning
credit risk · financial machine learning · large language models · machine learning · natural language processing
Forecasting Cross-Section Stock Returns using The Present Value Model
George Bulkley, Richard W P Holt · 2007 · intermediate · statistics
asset pricing · equity markets · equity valuation
Forecasting Cross-Section Stock Returns using Theoretical Prices Estimated from an Econometric Model
George Buckley, Richard W P Holt · 1999 · advanced · statistics
asset pricing · econometrics · equity markets
Forecasting Cryptocurrency Staking Rewards
Sauren Gupta, Apoorva Hathi Katharaki, Yifan Xu · 2024 · beginner · time series
cryptocurrencies · regression · time series
Forecasting Density Function: Application in Finance
Rituparna Sen, Changie Ma · 2015 · advanced · time series
statistics · time series
Forecasting duration in high-frequency financial data using a self-exciting flexible residual point process
Kyungsub Lee · 2026 · advanced · time series
high frequency trading · statistics · stochastic processes
Forecasting earnings using k-nearest neighbor classification
Easton, Peter, Kapons, Martin, Monahan, S. · 2024 · intermediate · machine learning
financial machine learning · machine learning
Forecasting Economically Significant Bitcoin Moves: A Multi-Scale TCN with Profit-Optimized Thresholds
Parsa Yousefnezhad, Gholamreza Mansourfar, Mohammadreza Feizi Derakhshi · 2026 · advanced · machine learning
cryptocurrencies · deep learning · financial machine learning · machine learning · time series
Forecasting electricity spot market prices with a k-factor GIGARCH process
Abdou Kâ Diongue, Dominique Guegan, Bertrand Vignal · 2009 · advanced · time series
garch · statistics · time series · volatility forecasting
Forecasting Equity Correlations with Hybrid Transformer Graph Neural Network
Jack Fanshawe, Rumi Masih, Alexander Cameron · 2026 · advanced · machine learning
machine learning · neural networks · time series