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Quant finance research papers
9383 research papers selected for learning quantitative finance. Highlighted picks come first. Showing 601–650; page 13 of 188.
Adaptive Alpha Weighting with PPO: Enhancing Prompt-Based LLM-Generated Alphas in Quant Trading
Qizhao Chen, Hiroaki Kawashima · 2025 · intermediate · machine learning
algorithmic trading · financial machine learning · large language models · reinforcement learning · time series
Adaptive and Regime-Aware RL for Portfolio Optimization
Gabriel Nixon Raj · 2025 · advanced · machine learning
deep learning · machine learning · neural networks · portfolio optimization · reinforcement learning · risk management
Adaptive calibration of Heston Model using PCRLB based switching Filter
Kumar Yashaswi · 2021 · advanced · options
bayesian statistics · model calibration · statistical inference · stochastic processes
Adaptive Collaborative Filtering with Personalized Time Decay Functions for Financial Product Recommendation
Ashraf Ghiye, Baptiste Barreau, Laurent Carlier · 2023 · intermediate · machine learning
machine learning
Adaptive Curves for Optimally Efficient Market Making
Viraj Nadkarni, Sanjeev Kulkarni, Pramod Viswanath · 2024 · advanced · quantitative trading
decentralized finance · liquidity · market making · market microstructure · optimization
Adaptive Dueling Double Deep Q-networks in Uniswap V3 Replication and Extension with Mamba
Zhaofeng Zhang · 2025 · advanced · quantitative trading
deep learning · financial machine learning · liquidity risk · market making · neural networks · reinforcement learning
Adaptive Entangled Game Modules in Artificial General Intelligence
Haochen Li, Xinshuai Guo, Jingdong Ouyang · 2026 · advanced · machine learning
machine learning
Adaptive Finite-Budget Training for CVaR Risk-Aware Q-Learning
Yifan Wu, Junjie Lei, Wenjie Huang · 2026 · advanced · machine learning
machine learning · reinforcement learning · risk management
Adaptive Market Intelligence: A Mixture of Experts Framework for Volatility-Sensitive Stock Forecasting
Diego Vallarino · 2025 · intermediate · machine learning
machine learning · neural networks · regression · time series
Adaptive Modelling Approach for Row-Type Dependent Predictive Analysis (RTDPA): A Framework for Designing Machine Learning Models for Credit Risk Analysis in Banking Sector
Minati Rath, Hema Date · 2023 · intermediate · risk management
banking · credit risk · machine learning
Adaptive Money Market Interest Rate Strategy Utilizing Control Theory
Yuval Boneh · 2024 · advanced · risk management
decentralized finance · interest rates · risk management
Adaptive Multi-Strategy Market-Making Agent For Volatile Markets
Ali Raheman, Anton Kolonin, Alexey Glushchenko · 2022 · advanced · quantitative trading
algorithmic trading · backtesting · cryptocurrencies · market making
Adaptive Multilevel Splitting: First Application to Rare-Event Derivative Pricing
Riccardo Gozzo · 2025 · advanced · options
derivatives · mathematical finance · monte carlo simulation · numerical methods · option pricing
Adaptive Multilevel Stochastic Approximation of the Value-at-Risk
Stéphane Crépey, Noufel Frikha, Azar Louzi · 2024 · advanced · risk management
monte carlo simulation · numerical methods
Adaptive Nesterov Accelerated Distributional Deep Hedging for Efficient Volatility Risk Management
Lei Zhao, Lin Cai, Wu-Sheng Lu · 2025 · advanced · options
deep learning · machine learning · optimization · options hedging · reinforcement learning · risk management
Adaptive Optimal Market Making Strategies with Inventory Liquidation Cos
Jonathan Chávez-Casillas, José E. Figueroa-López, Chuyi Yu · 2024 · advanced · quantitative trading
high frequency trading · liquidity · market making · market microstructure · optimization
Adaptive Pointwise Estimation in Time-Inhomogeneous Time-Series Models
Cizek, P., Haerdle, W., Spokoiny, V. · 2007 · advanced · time series
econometrics · statistics · time series
Adaptive Polar Sampling with an Application to a Bayes Measure of Value-at-Risk
Bauwens, L., Bos, C.S., van Dijk, H.K. · 1999 · advanced · statistics
bayesian statistics · garch · monte carlo simulation · numerical methods
Adaptive Regime-Aware Stock Price Prediction Using Autoencoder-Gated Dual Node Transformers with Reinforcement Learning Control
Mohammad Al Ridhawi, Mahtab Haj Ali, Hussein Al Osman · 2026 · advanced · machine learning
deep learning · machine learning · neural networks · reinforcement learning · time series
Adaptive singular-point method for pricing and hedging surrenderable equity-linked contracts
Andrea Molent, Marcellino Gaudenzi · 2026 · advanced · derivatives
insurance · interest rates · numerical methods · stochastic processes
Adaptive Strategies for Pension Fund Management
Raphael Chinchilla, Thomas D. Rueter, Timothy R. McDade · 2025 · advanced · risk management
pensions · risk management
Adaptive Temporal Fusion Transformers for Cryptocurrency Price Prediction
Arash Peik, Mohammad Ali Zare Chahooki, Amin Milani Fard · 2025 · advanced · time series
cryptocurrencies · deep learning · financial machine learning · machine learning · neural networks · time series
Adaptive trend estimation in financial time series via multiscale change-point-induced basis recovery
Schroeder, Anna Louise, Fryzlewicz, Piotr · 2013 · advanced · time series
statistics · time series
Adaptive Weighted Genetic Algorithm-Optimized SVR for Robust Long-Term Forecasting of Global Stock Indices for investment decisions
Mohit Beniwal · 2025 · intermediate · time series
algorithms · financial machine learning · machine learning · optimization · regression · time series
Adaptive Window Selection for Financial Risk Forecasting
Yinhuan Li, Chenxin Lyu, Ruodu Wang · 2026 · advanced · risk management
risk management · statistics
Adaptive-Robust Portfolio Optimisation
Theerawat Bhudisaksang, Álvaro Cartea, Leandro Sánchez-Betancourt · 2025 · advanced · portfolio management
model risk · optimization · partial differential equations · portfolio optimization · stochastic calculus · stochastic differential equations
AdaVol: An Adaptive Recursive Volatility Prediction Method
Nicklas Werge, Olivier Wintenberger · 2022 · advanced · time series
econometrics · garch · time series · volatility forecasting
Addressing Market Regime Changes and Heavy-Tailed Returns in Portfolio Optimization via Bayesian VAR and Elliptical Black-Litterman
Daniil Mikriukov, Ruoyu Sun, Angelos Stefanidis · 2026 · advanced · portfolio management
bayesian statistics · deep learning · machine learning · portfolio management · portfolio optimization · reinforcement learning
Adjustment to target capital, finance and growth
Antonio Ciccone, Elias Papaioannou · 2006 · intermediate · statistics
financial economics
Admissible Information Structures, Immersion, and the Order of Non-Anticipative Aggregation
Alejandro Rodriguez Dominguez · 2026 · advanced · stochastic calculus
asset pricing · martingales · stochastic processes
Admissible Portfolio Optimization: Information Constraints, Conditional Efficient Frontiers, and the Price of Causal Identification
Alejandro Rodriguez Dominguez · 2026 · advanced · portfolio management
causal identification · optimization · portfolio management · portfolio optimization
ADOL - Markovian approximation of rough lognormal model
Peter Carr, Andrey Itkin · 2019 · advanced · options
brownian motion · option pricing · rough volatility · stochastic calculus · stochastic processes
Advance Detection Of Bull And Bear Phases In Cryptocurrency Markets
Rahul Arulkumaran, Suyash Kumar, Shikha Tomar · 2024 · intermediate · time series
cryptocurrencies · machine learning · time series
Advanced Calibration Analysis and Tools: Identifying Influential Observations in Stochastic Interest Rate Model Calibration
Philipp Mahler, Peter Ruckdeschel · 2026 · advanced · fixed income
interest rates · model calibration · regression · statistical inference
Advanced Deep Learning Techniques for Analyzing Earnings Call Transcripts: Methodologies and Applications
Umair Zakir, Evan Daykin, Amssatou Diagne · 2025 · intermediate · machine learning
deep learning · natural language processing
Advanced Risk Prediction and Stability Assessment of Banks Using Time Series Transformer Models
Wenying Sun, Zhen Xu, Wenqing Zhang · 2024 · intermediate · risk management
banking · deep learning · financial machine learning · machine learning · neural networks · time series
Advanced simulation paradigm of human behaviour unveils complex financial systemic projection
Cheng Wang, Chuwen Wang, Shirong Zeng · 2025 · advanced · machine learning
machine learning
Advanced Statistical Arbitrage with Reinforcement Learning
Boming Ning, Kiseop Lee · 2024 · advanced · quantitative trading
algorithmic trading · machine learning · optimization · pairs trading · reinforcement learning · statistical arbitrage
Advancing DeFi Analytics: Efficiency Analysis with Decentralized Exchanges Comparison Service
Evgenii Onishchuk, Maksim Dubovitskii, Eduard Horch · 2024 · intermediate · quantitative trading
decentralized finance
Advancing Exchange Rate Forecasting: Leveraging Machine Learning and AI for Enhanced Accuracy in Global Financial Markets
Md. Yeasin Rahat, Rajan Das Gupta, Nur Raisa Rahman · 2025 · intermediate · time series
deep learning · financial machine learning · foreign exchange · machine learning · neural networks · time series
Advancing Financial Engineering with Foundation Models: Progress, Applications, and Challenges
Liyuan Chen, Shuoling Liu, Jiangpeng Yan · 2025 · intermediate · machine learning
time series
Advancing Financial Forecasting: A Comparative Analysis of Neural Forecasting Models N-HiTS and N-BEATS
Mohit Apte, Yashodhara Haribhakta · 2024 · advanced · machine learning
deep learning · financial machine learning · machine learning · neural networks · time series
Advancing Portfolio Optimization: Adaptive Minimum-Variance Portfolios and Minimum Risk Rate Frameworks
Ayush Jha, Abootaleb Shirvani, Ali Jaffri · 2025 · advanced · portfolio management
econometrics · garch · portfolio management · portfolio optimization · risk management · time series
Adversarial blockchain queues and trading on a CFMM
Andrew W. Macpherson · 2023 · advanced · quantitative trading
algorithmic trading
Adversarial Deep Reinforcement Learning in Portfolio Management
Zhipeng Liang, Hao Chen, Junhao Zhu · 2018 · advanced · machine learning
backtesting · deep learning · machine learning · optimization · portfolio management · reinforcement learning
Adversarial Training for Deep Hedging in Nonstationary Markets
Philipp J. Schneider, Lukas Looser, Antoine Garin · 2026 · advanced · options
deep learning · financial machine learning · machine learning · optimization
Adversarial Training for Tabular Credit Scoring: A Multi-Attack Robustness Evaluation in P2P Lending
Gijs A. F. Niewzwaag, Marijn G. S. Veth, Manuele Massei · 2026 · advanced · machine learning
credit risk · deep learning · machine learning · neural networks · stress testing
Advisors and Asset Prices: A Model of the Origins of Bubbles
Harrison Hong, Jose Scheinkman, Wei Xiong · 2005 · advanced · other
asset pricing · financial economics
Affine Bond Pricing with a Mixture Distribution for Interest Rate Time-Series DynamicsCreation-Date: 20100225
Torben B. Rasmussen · advanced · fixed income
fixed income · interest rates · stochastic processes · term structure models
Affine Pricing and Hedging of Collateralized Debt Obligations
Zehra Eksi, Damir Filipović · 2020 · advanced · derivatives
credit derivatives · credit risk · derivatives · model calibration