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Quant finance research papers
9383 research papers selected for learning quantitative finance. Highlighted picks come first. Showing 1101–1150; page 23 of 188.
Asymmetry and Leverage in Conditional Volatility Models
McAleer, M.J. · 2014 · advanced · time series
garch · statistics · stochastic processes · time series
Asymmetry and leverage in realized volatility
Asai, M., McAleer, M.J., Medeiros, M.C. · 2008 · advanced · time series
time series
Asymmetry and Long Memory in Volatility Modelling
Asai, M., McAleer, M.J., Medeiros, M.C. · 2010 · advanced · time series
econometrics · time series · volatility forecasting
Asymmetry in Distributions of Accumulated Gains and Losses in Stock Returns
Hamed Farahani, R. A. Serota · 2025 · intermediate · statistics
statistics · tail risk
Asymmetry PRISM: A CPU/GPU Portfolio Optimization Engine for Deadline-Bounded Institutional Rebalancing
Debdoot Ghosh · 2026 · advanced · portfolio management
optimization · portfolio optimization
Asymptotic analysis of different covariance matrices estimation for minimum variance portfolio
Linda Chamakh, Emmanuel Gobet, Jean-Philippe Lemor · 2021 · advanced · portfolio management
portfolio optimization · probability · statistics
Asymptotic analysis of forward performance processes in incomplete markets and their ill-posed HJB equations
Mykhaylo Shkolnikov, Ronnie Sircar, Thaleia Zariphopoulou · 2015 · advanced · stochastic calculus
optimization · partial differential equations · portfolio management · portfolio optimization · stochastic calculus · stochastic processes
Asymptotic Analysis of Optimal Diversification in Catastrophe Risk Pooling
Minh Chau Nguyen, Tony S. Wirjanto, Fan Yang · 2025 · advanced · risk management
insurance · optimization
Asymptotic Arbitrage in Large Financial Markets With Friction
Emmanuel Lépinette, Lavinia Ostafe · 2012 · advanced · stochastic calculus
mathematical finance · measure theory · transaction costs
Asymptotic Behaviour of Unexpected Losses and Risk Ratios for Co-Monotonic Alternatives
Max Nendel · 2026 · advanced · risk management
insurance · risk management
Asymptotic Error Analysis of Multilevel Stochastic Approximations for the Value-at-Risk and Expected Shortfall
Stéphane Crépey, Noufel Frikha, Azar Louzi · 2023 · advanced · risk management
statistics
Asymptotic Expansion as Prior Knowledge in Deep Learning Method for high dimensional BSDEs
Masaaki Fujii, Akihiko Takahashi, Masayuki Takahashi · 2017 · advanced · machine learning
deep learning · machine learning · numerical methods
Asymptotic fractional-order stochastic dominance with bounded relative risk aversion
Jiehua Xie, Liulei Sun, Wei Zou · 2026 · advanced · portfolio management
portfolio management
Asymptotic Inference about Predictive Accuracy Using High Frequency Data
Jia Li, Andrew J. Patton · 2013 · advanced · statistics
statistical inference
Asymptotic Invariance of Kelly Allocation Under Power-Law Asset Dynamics: Evidence from Bitcoin
Ivan J. Vera-Marun · 2026 · advanced · portfolio management
portfolio management · portfolio optimization
Asymptotic methods for transaction costs
Eberhard Mayerhofer · 2024 · advanced · quantitative trading
optimization
Asymptotic Properties of Generalized Shortfall Risk Measures for Heavy-tailed Risks
Tiantian Mao, Gilles Stupfler, Fan Yang · 2024 · advanced · risk management
extreme value theory
Asymptotic Results for GMM Estimators of Stochastic Volatility Models
Geert Dhaene, Olivier Vergote · 2003 · advanced · statistics
statistical inference · time series
Asymptotic Separability of Diffusion and Jump Components in High-Frequency CIR and CKLS Models
Sourojyoti Barick · 2026 · advanced · statistics
extreme value theory · jump processes · statistical inference · stochastic processes
Asymptotic Static Hedge via Symmetrization
Jiro Akahori, Flavia Barsotti, Yuri Imamura · 2018 · advanced · options
option pricing · options hedging · partial differential equations
Asymptotically-informed neural networks for Black-Scholes implied volatility computation
Samira Amiriyan, Youness Boutaib · 2026 · advanced · options
machine learning · neural networks · numerical methods
Asymptotics for Short Maturity Asian Options in Jump-Diffusion models with Local Volatility
Dan Pirjol, Lingjiong Zhu · 2023 · advanced · options
jump processes · option pricing · stochastic processes
Asymptotics for the Laplace transform of the time integral of the geometric Brownian motion
Dan Pirjol, Lingjiong Zhu · 2023 · advanced · fixed income
brownian motion · stochastic processes
Asymptotics of Ruin Probabilities in a Subordinated Cramér-Lundberg Model
Jonathan Klinge, Maren Diane Schmeck · 2026 · advanced · risk management
insurance · probability · stochastic processes
Asymptotics of Sum of Heavy-tailed Risks with Copulas
Fan Yang, Yi Zhang · 2024 · advanced · risk management
copulas · risk management · tail risk
Asymptotics of Systemic Risk in a Renewal Model with Multiple Business Lines and Heterogeneous Claims
Bingzhen Geng, Yang Liu, Hongfu Wan · 2024 · advanced · risk management
insurance · monte carlo simulation · systemic risk · tail risk
Asymptotics of the time-discretized log-normal SABR model: The implied volatility surface
Dan Pirjol, Lingjiong Zhu · 2020 · advanced · options
stochastic differential equations · stochastic processes · volatility surface
Asynchronous Deep Double Duelling Q-Learning for Trading-Signal Execution in Limit Order Book Markets
Peer Nagy, Jan-Peter Calliess, Stefan Zohren · 2023 · advanced · quantitative trading
algorithmic trading · deep learning · market microstructure · reinforcement learning
At-the-money short-time call-price asymptotics for new classes of exponential Lévy models
Allen Hoffmeyer, Christian Houdré · 2026 · advanced · options
mathematical finance · option pricing · stochastic processes
Atlas-X Equity Financing: Unlocking New Methods to Securely Obfuscate Axe Inventory Data Based on Differential Privacy
Antigoni Polychroniadou, Gabriele Cipriani, Richard Hua · 2024 · advanced · quantitative trading
algorithms · time series
ATLAS: Adaptive Trading with LLM AgentS Through Dynamic Prompt Optimization and Multi-Agent Coordination
Charidimos Papadakis, Angeliki Dimitriou, Giorgos Filandrianos · 2025 · advanced · machine learning
algorithmic trading · large language models · machine learning
Attention Factors for Statistical Arbitrage
Elliot L. Epstein, Rose Wang, Jaewon Choi · 2025 · advanced · quantitative trading
factor investing · financial machine learning · machine learning · statistical arbitrage · transaction costs
Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction
Sahab Zandi, Kamesh Korangi, María Óskarsdóttir · 2024 · advanced · risk management
banking · credit risk · deep learning · machine learning · neural networks
Attention-Based Reading, Highlighting, and Forecasting of the Limit Order Book
Jiwon Jung, Kiseop Lee · 2024 · advanced · quantitative trading
deep learning · neural networks · time series
Attracting investor attention through advertising
Lou, Dong · 2009 · intermediate · statistics
equity markets
Attributing Differences Between Forecast Runs to Input Changes, With Applications to CCAR and CECL Exercises
Xuan Mei, Junze Lin · 2026 · advanced · risk management
credit risk
Attributing Forecast Gaps to Component Models in Complex Model Suites
Xuan Mei, Junze Lin · 2026 · advanced · risk management
credit risk
Attribution Methods in Asset Pricing: Do They Account for Risk?
Dangxing Chen, Yuan Gao · 2024 · advanced · machine learning
asset pricing · financial machine learning · machine learning
Auditing Asset-Specific Preferences in Financial Large Language Models: Evidence from Bitcoin Representations and Portfolio Allocation
Wenbin Wu · 2026 · advanced · machine learning
large language models
Auditing Collector-Generated Graduation Labels on Pump.fun: Measurement Error and Temporal Non-Generalization
Arati Uday Kamat · 2026 · advanced · statistics
model calibration · statistical inference · statistics
Augmented Real-Time GARCH: A Joint Model for Returns, Volatility and Volatility of Volatility
Ding, Y. · 2021 · advanced · time series
garch · statistics · time series · volatility forecasting
Augmenting Fundamental Analysis with Large Language Models: A RAG-Based System for Generating Investor Briefs
Bartosz Ziółko, Kacper Dobrzeniewski · 2026 · intermediate · machine learning
large language models · natural language processing
Aumann and Serrano’s economic index of risk for sums of gambles
Minqiang Li · 2014 · intermediate · risk management
risk management
Auto-Balancer: Harnessing idle network resources for enhanced market stability
Arman Abgaryan, Utkarsh Sharma · 2025 · advanced · quantitative trading
market microstructure
Auto-Regressive Control of Execution Costs
Simeon Kolev · 2024 · intermediate · quantitative trading
optimal execution · regression
Auto.gov: Learning-based Governance for Decentralized Finance (DeFi)
Jiahua Xu, Yebo Feng, Daniel Perez · 2023 · advanced · machine learning
decentralized finance · deep learning · machine learning · reinforcement learning
Autocallable Options Pricing with Integration-Based Exponential Amplitude Loading
Francesca Cibrario, Ron Cohen, Emanuele Dri · 2025 · advanced · options
algorithms · derivatives · option pricing
Autodeleveraging as Online Learning
Tarun Chitra, Nagu Thogiti, Mauricio Jean Pieer Trujillo Ramirez · 2026 · advanced · risk management
derivatives · optimization
Autodeleveraging: Impossibilities and Optimization
Tarun Chitra · 2025 · advanced · derivatives
derivatives
Automate Strategy Finding with LLM in Quant Investment
Zhizhuo Kou, Holam Yu, Junyu Luo · 2024 · advanced · machine learning
algorithmic trading · factor investing · financial machine learning · large language models