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Quant finance research papers
9383 research papers selected for learning quantitative finance. Highlighted picks come first. Showing 3601–3650; page 73 of 188.
FinEAS: Financial Embedding Analysis of Sentiment
Asier Gutiérrez-Fandiño, Miquel Noguer i Alonso, Petter Kolm · 2021 · intermediate · machine learning
deep learning · machine learning · natural language processing · neural networks
FinEvo: From Isolated Backtests to Ecological Market Games for Multi-Agent Financial Strategy Evolution
Mingxi Zou, Jiaxiang Chen, Aotian Luo · 2026 · advanced · quantitative trading
financial machine learning · machine learning
FinFlowRL: An Imitation-Reinforcement Learning Framework for Adaptive Stochastic Control in Finance
Yang Li, Zhi Chen · 2025 · advanced · machine learning
high frequency trading · machine learning · market making · reinforcement learning
FinGPT: Democratizing Internet-scale Data for Financial Large Language Models
Xiao-Yang Liu, Guoxuan Wang, Hongyang Yang · 2023 · intermediate · machine learning
large language models · natural language processing · reinforcement learning
FinGPT: Enhancing Sentiment-Based Stock Movement Prediction with Dissemination-Aware and Context-Enriched LLMs
Yixuan Liang, Yuncong Liu, Neng Wang · 2024 · intermediate · machine learning
large language models · machine learning · natural language processing
FinHEAR: Human Expertise and Adaptive Risk-Aware Temporal Reasoning for Financial Decision-Making
Jiaxiang Chen, Mingxi Zou, Zhuo Wang · 2025 · advanced · machine learning
behavioral finance · large language models · risk management
Finite Element Method for HJB in Option Pricing with Stock Borrowing Fees
Rakhymzhan Kazbek, Aidana Abdukarimova · 2025 · advanced · options
numerical methods · option pricing · partial differential equations
Finite Element Solution of the Two-Dimensional Bates Model for Option Pricing Under Stochastic Volatility and Jumps
Neda Bagheri Renani, Daniel Sevcovic · 2026 · advanced · options
jump processes · numerical methods · option pricing · partial differential equations
Finite Sample Performance in CointegrationAnalysis of Nonlinear Time Series with LongMemory
Afonso Gonçalves da Silva, Peter M Robinson · 2006 · advanced · time series
econometrics · monte carlo simulation · statistics · time series
Finite sample properties of a QML estimator of stochastic volatility models with long memory
Pérez, Ana, Ruiz Ortega, Esther · 1999 · advanced · time series
econometrics · monte carlo simulation · statistical inference · time series
Finite-Difference Solution Ansatz approach in Least-Squares Monte Carlo
Jiawei Huo · 2023 · advanced · options
monte carlo simulation · numerical methods · regression
Finite-Sample Properties of Model Specification Tests for Multivariate Dynamic Regression Models
Koichiro Moriya, Akihiko Noda · 2026 · advanced · statistics
econometrics · hypothesis testing · regression · statistical inference · statistics
FinLlama: Financial Sentiment Classification for Algorithmic Trading Applications
Thanos Konstantinidis, Giorgos Iacovides, Mingxue Xu · 2024 · advanced · machine learning
deep learning · financial machine learning · large language models · natural language processing · neural networks
FinMarBa: A Market-Informed Dataset for Financial Sentiment Classification
Baptiste Lefort, Eric Benhamou, Beatrice Guez · 2025 · intermediate · machine learning
large language models · machine learning · natural language processing
FinRDDL: Can AI Planning be used for Quantitative Finance Problems?
Patra, Sunandita, Mahfouz, Mahmoud, Gopalakrishnan, Sriram · 2023 · intermediate · portfolio management
optimal execution · portfolio management · portfolio optimization
FinRL-DeepSeek: LLM-Infused Risk-Sensitive Reinforcement Learning for Trading Agents
Mostapha Benhenda · 2025 · advanced · machine learning
backtesting · financial machine learning · large language models · natural language processing · reinforcement learning · risk management
FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance
Xiao-Yang Liu, Jingyang Rui, Jiechao Gao · 2021 · intermediate · machine learning
deep learning · reinforcement learning
FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning
Xiao-Yang Liu, Ziyi Xia, Jingyang Rui · 2022 · intermediate · machine learning
machine learning · reinforcement learning
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
Hongyang Yang, Boyu Zhang, Yang She · 2026 · intermediate · programming
algorithmic trading
FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance
Xiao-Yang Liu, Hongyang Yang, Qian Chen · 2020 · intermediate · machine learning
algorithmic trading · backtesting · deep learning · neural networks · reinforcement learning
FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance
Xiao-Yang Liu, Hongyang Yang, Jiechao Gao · 2021 · intermediate · quantitative trading
algorithmic trading · deep learning · machine learning · reinforcement learning
FinRLlama: A Solution to LLM-Engineered Signals Challenge at FinRL Contest 2024
Arnav Grover · 2025 · advanced · machine learning
large language models · natural language processing · reinforcement learning
FinRobot: AI Agent for Equity Research and Valuation with Large Language Models
Tianyu Zhou, Pinqiao Wang, Yilin Wu · 2024 · intermediate · machine learning
equity valuation · large language models · natural language processing
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
Hongyang Yang, Boyu Zhang, Neng Wang · 2024 · intermediate · machine learning
large language models
FinSkillBench: Evaluating AI Agents and Domain Skills for Investment Management
Jermyn Zhen Yong Bek, Zhuang Qiang Bok, Zhongtian Sun · 2026 · advanced · machine learning
large language models · machine learning · portfolio management · risk management
FinSMART: Financial Sentiment Analysis for Algorithmic Trading through Market-Aligned Reinforcement Learning
Giorgos Iacovides, Wuyang Zhou, Danilo Mandic · 2026 · advanced · machine learning
algorithmic trading · financial machine learning · large language models · natural language processing · reinforcement learning
FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools
Shijie Han, Jingshu Zhang, Yiqing Shen · 2025 · advanced · machine learning
large language models · natural language processing
FinStressTS: A Parametric Synthetic Benchmark for Time-Series Forecasting in Finance
Jiaze Sun, Kelvin J. L. Koa, Ruiyang Ni · 2026 · advanced · time series
deep learning · jump processes · machine learning · time series
FinSurvival: A Suite of Large Scale Survival Modeling Tasks from Finance
Aaron Green, Zihan Nie, Hanzhen Qin · 2025 · advanced · machine learning
cryptocurrencies · decentralized finance · machine learning
FinTradeBench: A Financial Reasoning Benchmark for LLMs
Yogesh Agrawal, Aniruddha Dutta, Md Mahadi Hasan · 2026 · intermediate · machine learning
large language models · time series
FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting
Yifan Hu, Yuante Li, Peiyuan Liu · 2025 · intermediate · time series
financial machine learning · time series
FinTSBridge: A New Evaluation Suite for Real-world Financial Prediction with Advanced Time Series Models
Yanlong Wang, Jian Xu, Tiantian Gao · 2025 · intermediate · time series
financial machine learning · machine learning · time series
FinVis-GPT: A Multimodal Large Language Model for Financial Chart Analysis
Ziao Wang, Yuhang Li, Junda Wu · 2023 · advanced · machine learning
large language models · natural language processing
FinVision: A Multi-Agent Framework for Stock Market Prediction
Sorouralsadat Fatemi, Yuheng Hu · 2024 · intermediate · machine learning
large language models · machine learning
FinZero: Launching Multi-modal Financial Time Series Forecast with Large Reasoning Model
Yanlong Wang, Jian Xu, Fei Ma · 2025 · advanced · machine learning
financial machine learning · large language models · machine learning · reinforcement learning · time series
Fire Sales, the LOLR and Bank Runs With Continuous Asset Liquidity
Ulrich Bindseil, Edoardo Lanari · 2020 · advanced · risk management
banking · financial stability · liquidity · liquidity risk · systemic risk
Firm balance sheet liquidity, monetary policy shocks, and investment dynamics
Priit Jeenas · 2023 · advanced · other
liquidity
Firm investment in imperfect capital markets: A structural estimation
Sangeeta Pratap, Silvio Rendón · 1998 · advanced · other
other
Firm Ownership, Political Participation, and Access to Finance through Public Bond Offerings in China
Feng, Xunan, Johansson, Anders C. · 2018 · intermediate · fixed income
corporate finance
Firm Valuation When AI Shapes the Business Model: A Milestone-Based Real-Options Framework for the AI Valuation Uncertainty Problem
Walter Kurz, Wojtek Stricker, Stefan Marx · 2026 · advanced · other
corporate finance · real options
Firm Value and Managerial Incentives: A Stochastic Frontier Approach
Michel Habib, Alexander Ljungqvist · 2000 · intermediate · statistics
statistics
First order Martingale model risk and semi-static hedging
Nathan Sauldubois, Nizar Touzi · 2024 · advanced · options
martingales · model risk · risk management
First Passage Time for Tempered Stable Process and Its Application to Perpetual American Option and Barrier Option Pricing
Young Shin Kim · 2018 · advanced · options
mathematical finance · option pricing · stochastic processes
First-Order Asymptotics of Path-Dependent Derivatives in Multiscale Stochastic Volatility Environment
Yuri F. Saporito · 2017 · advanced · options
derivatives · option pricing · stochastic calculus · stochastic processes
First-passage horizons in horizontal visibility graphs: a rank-invariant estimator of path roughness for rough volatility models
Michał Sikorski · 2025 · advanced · time series
monte carlo simulation · rough volatility · statistical inference · stochastic processes · time series
Fiscal rules, financial stability and optimal currency areas
de Grauwe, Paul, Foresti, Pasquale · 2016 · intermediate · risk management
economic policy · financial stability
Fitting Accumulated Stock Returns with Tempered Skew t-Distribution
Siqi Shao, R. A. Serota · 2026 · intermediate · statistics
probability · statistics
Fitting Correlations Within and Between Bond Markets
Hans Dewachter, Konstantijn Maes · 2001 · advanced · fixed income
fixed income · interest rates · stochastic processes · term structure models
Fitting the seven-parameter Generalized Tempered Stable distribution to the financial data
Aubain Nzokem, Daniel Maposa · 2024 · advanced · statistics
statistical inference · statistics
Five Weeks in the Life of the Pound: Interest Rates
Donald Robertson, James Symons · 1993 · intermediate · fixed income
fixed income · interest rates · term structure models