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Quant finance research papers
9383 research papers selected for learning quantitative finance. Highlighted picks come first. Showing 5301–5350; page 107 of 188.
Microscopic models for long ranged volatility correlations
Irene Giardina, Jean-Philippe Bouchaud, Marc Mézard · 2001 · intermediate · time series
stochastic processes
Microstructural Foundation for the Rough Hawkes--Heston Model
Yingli Wang, Yinhao Wu, Lingjiong Zhu · 2026 · advanced · stochastic calculus
jump processes · market microstructure · rough volatility · stochastic processes
Microstructural Foundation of Rough Log-Normal Volatility Models
Paul P. Hager, Ulrich Horst, Thomas Wagenhofer · 2026 · advanced · derivatives
market microstructure · rough volatility · stochastic processes
Microstructure and Manipulation: Quantifying Pump-and-Dump Dynamics in Cryptocurrency Markets
Mahya Karbalaii · 2025 · intermediate · quantitative trading
cryptocurrencies · market microstructure
Microstructure Noise in the Continuous Case: The Pre-Averaging Approach - JLMPV-9
Jean Jacod, Yingying Li, Per A. Mykland · 2007 · advanced · statistics
market microstructure · statistical inference · statistics
Migration and cross-border equity portfolio flows
Maurice Kugler, Hillel Rapoport · 2011 · intermediate · statistics
equity markets
Migration and Cross-Border Financial Flows
Maurice Kugler, Oren Levintal, Hillel Rapoport · 2015 · intermediate · statistics
financial economics
Mild to classical solutions for XVA equations under stochastic volatility
Damiano Brigo, Federico Graceffa, Alexander Kalinin · 2021 · advanced · derivatives
credit risk · derivatives · martingales · partial differential equations · stochastic differential equations · stochastic processes
MILLION: A General Multi-Objective Framework with Controllable Risk for Portfolio Management
Liwei Deng, Tianfu Wang, Yan Zhao · 2024 · advanced · portfolio management
financial machine learning · machine learning · optimization · portfolio management · portfolio optimization · risk management
Mind the Cap! -- Constrained Portfolio Optimisation in Heston's Stochastic Volatility Model
Marcos Escobar-Anel, Michel Kschonnek, Rudi Zagst · 2023 · advanced · portfolio management
mathematical finance · optimization · portfolio management · portfolio optimization · stochastic processes
Mind Your Language: Market Responses to Central Bank Speeches
Christopher J. Neely, Xiye Yang, Michael F. McMahon · 2023 · advanced · machine learning
machine learning · natural language processing · tail risk
Mini-symposium on automatic differentiation and its applications in the financial industry
Sébastien Geeraert, Charles-Albert Lehalle, Barak Pearlmutter · 2017 · advanced · risk management
numerical methods
Minimal Batch Adaptive Learning Policy Engine for Real-Time Mid-Price Forecasting in High-Frequency Trading
Adamantios Ntakaris, Gbenga Ibikunle · 2024 · advanced · machine learning
high frequency trading · machine learning · reinforcement learning
Minimal Kullback-Leibler Divergence for Constrained Lévy-Itô Processes
Sebastian Jaimungal, Silvana M. Pesenti, Leandro Sánchez-Betancourt · 2022 · advanced · stochastic calculus
jump processes · optimization · probability · stochastic processes
Minimal Shortfall Strategies for Liquidation of a Basket of Stocks using Reinforcement Learning
Moustapha Pemy, Na Zhang · 2025 · advanced · quantitative trading
algorithmic trading · optimal execution · optimization · reinforcement learning · stochastic processes
Minimal Solutions to the Skorokhod Reflection Problem Driven by Jump Processes and an Application to Reinsurance
Graeme Baker, Ankita Chatterjee · 2025 · advanced · risk management
jump processes · stochastic processes
Minimizing Benchmark-Relative Drawdown Duration via Occupation Time Penalization
Jun Sekine, Marcus Wunsch · 2026 · advanced · portfolio management
optimization · portfolio management · portfolio optimization · stochastic processes
Minimizing shortfall
Lisa R. Goldberg, Michael Y. Hayes, Ola Mahmoud · 2013 · advanced · portfolio management
optimization · portfolio management · portfolio optimization · risk management
Minimizing the Value-at-Risk of Loan Portfolio via Deep Neural Networks
Albert Di Wang, Ye Du · 2025 · advanced · risk management
credit risk · deep learning · machine learning · neural networks · portfolio management · risk management
Mining Financial Data using Mixtures of Mirrored Weibull Distributions
Zijun Jia, Sharon X. Lee · 2026 · intermediate · risk management
risk management · statistics
MintEval: Do LLMs Implement the Trading Strategy You Asked For? A Behavioural-Equivalence Benchmark for Natural-Language-to-Strategy Code
Siyu Wang, Yifan Wang, Yuecheng He · 2026 · advanced · programming
algorithmic trading · large language models · natural language processing · programming
Mirror Descent Algorithms for Risk Budgeting Portfolios
Martin Arnaiz Iglesias, Adil Rengim Cetingoz, Noufel Frikha · 2024 · advanced · portfolio management
convex optimization · numerical methods · optimization · portfolio management · portfolio optimization
Mislearning of Factor Risk Premia under Structural Breaks: A Misspecified Bayesian Learning Framework
Yimeng Qiu · 2026 · advanced · statistics
asset pricing · bayesian statistics
Missing Data Imputation With Granular Semantics and AI-driven Pipeline for Bankruptcy Prediction
Debarati Chakraborty, Ravi Ranjan · 2024 · advanced · machine learning
machine learning
Missing information and asset allocation
Jean-Philippe Bouchaud, Marc Potters, Jean-Pierre Aguilar · 1997 · intermediate · portfolio management
portfolio management · portfolio optimization
Missing Values Handling for Machine Learning Portfolios
Andrew Y. Chen, Jack McCoy · 2022 · intermediate · machine learning
financial machine learning · machine learning · portfolio management
Mitigating Adverse Selection in Concentrated Liquidity AMMs with Dynamic Fees: An Agent-Based Model Approach
Daniele Maria Di Nosse, Fabrizio Lillo · 2026 · advanced · quantitative trading
liquidity · market microstructure
Mitigating Decentralized Finance Liquidations with Reversible Call Options
Kaihua Qin, Jens Ernstberger, Liyi Zhou · 2023 · advanced · risk management
decentralized finance
Mitigating Distribution Shift in Stock Price Data via Return-Volatility Normalization for Accurate Prediction
Hyunwoo Lee, Jihyeong Jeon, Jaemin Hong · 2025 · advanced · machine learning
deep learning · machine learning · neural networks · time series
Mitigating Extremal Risks: A Network-Based Portfolio Strategy
Qian Hui, Tiandong Wang · 2024 · advanced · portfolio management
extreme value theory · financial networks · portfolio optimization · risk management
Mitigating Financial Risk from Climate-Induced Agricultural Price Volatility
Sourish Das, Sudeep Shukla, Abbinav Sankar Kailasam · 2025 · advanced · time series
garch · insurance · time series · volatility forecasting
Mixing Constant Sum and Constant Product Market Makers
Alexander Port, Neelesh Tiruviluamala · 2022 · advanced · quantitative trading
market making
Mixing Financial Stress with GPT-4 News Sentiment Analysis for Optimal Risk-On/Risk-Off Decisions
Baptiste Lefort, Eric Benhamou, Jean-Jacques Ohana · 2024 · intermediate · quantitative trading
large language models · natural language processing · risk management
Mixing QE and Interest Rate Policies at the Effective Lower Bound: Micro Evidence from the Euro Area
Christian Bittner, Alexander Rodnyansky, Farzad Saidi · 2024 · advanced · risk management
banking · interest rates
Mixing-Law Uncertainty in Multivariate Normal Mean-Variance Mixtures: Semi-parametric Estimation and Robust Cumulative-Prospect Decisions
Nuerxiati Abudurexiti · 2026 · advanced · portfolio management
optimization · portfolio management · statistical inference · statistics
Mixture-of-Experts for Cryptocurrency Order Execution: Training Stability, Tail Risk, and Failure Modes
Alexander Ardaiz, Varun Budati, Ali Habibnia · 2026 · advanced · quantitative trading
cryptocurrencies · financial machine learning · machine learning · reinforcement learning
Mixture-Preserving, Arbitrage-Free Interpolation for Volatility-Surface Models
Thijs van den Berg · 2026 · advanced · options
derivatives · option pricing · volatility surface
MLP, XGBoost, KAN, TDNN, and LSTM-GRU Hybrid RNN with Attention for SPX and NDX European Call Option Pricing
Boris Ter-Avanesov, Homayoon Beigi · 2024 · advanced · options
deep learning · derivatives · machine learning · model calibration · neural networks · option pricing
MM-DREX: Multimodal-Driven Dynamic Routing of LLM Experts for Financial Trading
Yang Chen, Yueheng Jiang, Zhaozhao Ma · 2025 · advanced · quantitative trading
algorithmic trading · deep learning · financial machine learning · large language models · machine learning · neural networks
Moate Simulation of Stochastic Processes
Michael E. Mura · 2022 · advanced · stochastic calculus
numerical methods · stochastic differential equations · stochastic processes
Mobile Banking: The Impact of M-Pesa in Kenya
Isaac Mbiti, David N. Weil · 2011 · intermediate · other
banking
Mobile money agent interoperability and liquidity management
Bouvard, Matthieu, Casamatta, Catherine · 2024 · intermediate · risk management
liquidity · liquidity risk
Mobile Money, Interoperability and Financial Inclusion
Markus K. Brunnermeier, Nicola Limodio, Lorenzo Spadavecchia · 2023 · intermediate · other
other
Model Averaging in Risk Management with an Application to Futures Markets
Pesaran, M.H., Schleicher, C., Zaffaroni, P. · 2008 · advanced · risk management
model risk · risk management · statistics
Model Combination in Risk Sharing under Ambiguity
Emma Kroell, Sebastian Jaimungal, Silvana M. Pesenti · 2025 · advanced · risk management
model risk · optimization · stochastic processes
Model independent WWR for regulatory CVA and for accounting CVA and FVA
Chris Kenyon, Mourad Berrahoui, Benjamin Poncet · 2020 · advanced · risk management
credit risk · derivatives · model calibration · risk management
Model Predictive Control For Trade Execution
Thomas P. McAuliffe, Samuel Liew, Yuchao Li · 2026 · advanced · quantitative trading
algorithmic trading · liquidity · optimal execution · optimization
Model Risk Analysis for Entropic Hedging Strategies
Paul McCloud · 2026 · advanced · derivatives
derivatives · model risk · risk management
Model Selection and Testing of Conditional and Stochastic Volatility Models
Caporin, M., McAleer, M.J. · 2010 · advanced · time series
garch
Model Validation of Agentic AI Systems: A POMDP-Based Framework for Belief-State, Forecast, and Policy Validation
Matthew Francis Dixon · 2026 · advanced · risk management
bayesian statistics · model risk · risk management