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Quant finance research papers
9383 research papers selected for learning quantitative finance. Highlighted picks come first. Showing 101–150; page 3 of 188.
A Common Shock Model for multidimensional electricity intraday price modelling with application to battery valuation
Thomas Deschatre, Xavier Warin · 2023 · advanced · time series
stochastic processes
A comparative analysis of machine learning algorithms for predicting probabilities of default
Adrian Iulian Cristescu, Matteo Giordano · 2025 · intermediate · risk management
credit risk · machine learning · regression
A Comparative Analysis of Statistical and Machine Learning Models for Outlier Detection in Bitcoin Limit Order Books
Ivan Letteri · 2025 · intermediate · quantitative trading
algorithmic trading · backtesting · cryptocurrencies · machine learning · market microstructure
A Comparative Study of Hierarchical Risk Parity Portfolio and Eigen Portfolio on the NIFTY 50 Stocks
Jaydip Sen, Abhishek Dutta · 2022 · intermediate · portfolio management
backtesting · portfolio management · portfolio optimization
A Comparative Study of Portfolio Optimization Methods for the Indian Stock Market
Jaydip Sen, Arup Dasgupta, Partha Pratim Sengupta · 2023 · intermediate · portfolio management
optimization · portfolio management · portfolio optimization
A comparative study of the MACD-base trading strategies: evidence from the US stock market
Pat Tong Chio · 2022 · intermediate · quantitative trading
backtesting · momentum
A comparison of biased simulation schemes for stochastic volatility models
Roger Lord, Remmert Koekkoek, Dick van Dijk · 2009 · advanced · stochastic calculus
monte carlo simulation · numerical methods · stochastic differential equations · stochastic processes
A Comparison of Cryptocurrency Volatility-benchmarking New and Mature Asset Classes
Alessio Brini, Jimmie Lenz · 2024 · advanced · time series
cryptocurrencies · econometrics · time series · volatility forecasting
A Comparison of Single and Multifactor Portfolio Performance Methodologies (formerly WP #13-83)
Chen, Nai-fu, Copeland, Thomas E., Mayers, David · 1987 · intermediate · portfolio management
factor investing
A comparison of stock market mechanisms
Giovanni Cespa · 2003 · advanced · quantitative trading
financial economics · market efficiency · market microstructure
A comparison of the effectiveness of alternative DC and CDC designs in a UK market
John Armstrong, James Dalby, Rohan Hobbs · 2025 · advanced · risk management
optimization · pensions · stochastic processes
A Comparison of Three Models to Predict Liquidity Flows between Banks Based on Daily Payments Transactions
Triepels, Ron, Daniels, Hennie · 2016 · intermediate · risk management
banking · liquidity
A Comprehensive Analysis of Machine Learning Models for Algorithmic Trading of Bitcoin
Abdul Jabbar, Syed Qaisar Jalil · 2024 · intermediate · machine learning
algorithmic trading · backtesting · cryptocurrencies · financial machine learning · machine learning · regression
A comprehensive review and analysis of different modeling approaches for financial index tracking problem
Vrinda Dhingra, Amita Sharma, Anubha Goel · 2026 · intermediate · portfolio management
deep learning · machine learning · optimization · portfolio optimization
A Computational Framework for Financial Structures
Antonio Scala, Andrea Monaco · 2026 · advanced · risk management
risk management
A Conceptual Model of Investor Behavior
Lovric, M., Kaymak, U., Spronk, J. · 2008 · intermediate · other
behavioral finance
A Consistent Stochastic Model of the Term Structure of Interest Rates for Multiple Tenors
Mesias Alfeus, Martino Grasselli, Erik Schlögl · 2018 · advanced · fixed income
fixed income · interest rates · liquidity risk · term structure models
A continuous-time Kyle model with price-responsive traders
Eunjung Noh · 2026 · advanced · quantitative trading
financial economics · market microstructure · momentum
A Continuous-Time Measurement of the Buy-Sell Pressure in a Limit Order Book Market
Anthony D. Hall, Nikolaus Hautsch · 2004 · advanced · quantitative trading
econometrics · market microstructure · time series
A Controlled Comparison of Deep Learning Architectures for Multi-Horizon Financial Forecasting: Evidence from 918 Experiments
Nabeel Ahmad Saidd · 2026 · intermediate · time series
deep learning · financial machine learning · machine learning · time series
A Corporate Balance-Sheet Approach to Currency Crises
Philippe Aghion, Philippe Bacchetta, Abhijit Banerjee · 2001 · advanced · risk management
financial economics
A cost of capital approach to determining the LGD discount rate
Janette Larney, Arno Botha, Gerrit Lodewicus Grobler · 2025 · advanced · risk management
banking · credit risk · risk management
A Counterfactual Diagnostic Framework for Explaining KS Deterioration in Credit Risk Model Validation
Yiqing Wang · 2026 · advanced · risk management
credit risk · model risk · risk management
A Coupled Component GARCH Model for Intraday and Overnight Volatility
Linton, O., Wu, J. · 2018 · advanced · time series
garch · statistics · time series · volatility forecasting
A Cross-Sectional Performance Measure for Portfolio Management
Monica Billio, Ludovic Calès, Dominique Guegan · 2010 · intermediate · portfolio management
portfolio management
A Curationary Tale: Logarithmic Regret in DeFi Lending via Dynamic Pricing
Tarun Chitra · 2025 · advanced · risk management
decentralized finance
A Data-driven Deep Learning Approach for Bitcoin Price Forecasting
Parth Daxesh Modi, Kamyar Arshi, Pertami J. Kunz · 2023 · intermediate · time series
cryptocurrencies · deep learning · machine learning · neural networks · time series
A data-driven econo-financial stress-testing framework to estimate the effect of supply chain networks on financial systemic risk
Jan Fialkowski, Christian Diem, András Borsos · 2025 · advanced · risk management
contagion · credit risk · financial networks · financial stability · stress testing · systemic risk
A Decadal Analysis of the Lead-Lag Effect in the NYSE
Aarush Pratik Sheth, Jonah Riley Weinbaum, Kevin Javier Zvonarek · 2023 · intermediate · statistics
equity markets · financial networks
A decision rule to minimize daily capital charges in forecasting value-at-risk
McAleer, M.J., Jiménez-Martín, J.A., Pérez-Amaral, T. · 2008 · advanced · risk management
risk management
A Decision Support System for Stock Selection and Asset Allocation Based on Fundamental Data Analysis
Ali Abrishami, Jafar Habibi, AmirAli Jarrahi · 2024 · intermediate · portfolio management
machine learning
A Declining CVaR Glidepath Framework for Target-Date Fund Design with an Application to the Chilean Pension System
Israel Muñoz, Fernando Suárez, Omar Larré · 2026 · intermediate · portfolio management
pensions · portfolio management · portfolio optimization · risk management · tail risk
A decomposition formula for fractional Heston jump diffusion models
Marc Lagunas-Merino, Salvador Ortiz-Latorre · 2020 · advanced · options
derivatives · jump processes · option pricing · stochastic calculus
A decomposition formula for option prices in the Heston model and applications to option pricing approximation
Elisa Alòs · 2009 · advanced · options
option pricing · stochastic calculus
A Decomposition of Global Linkages in Financial Markets Over Time
Forbes, Kristen, Chinn, Menzie David · 2003 · intermediate · statistics
financial economics
A deep BSDE approach for the simultaneous pricing and delta-gamma hedging of large portfolios consisting of high-dimensional multi-asset Bermudan options
Balint Negyesi, Cornelis W. Oosterlee · 2025 · advanced · options
monte carlo simulation · neural networks · numerical methods · option greeks · option pricing · options hedging
A deep learning approach for computations of exposure profiles for high-dimensional Bermudan options
Kristoffer Andersson, Cornelis Oosterlee · 2020 · advanced · machine learning
deep learning · derivatives · machine learning · monte carlo simulation · neural networks
A deep learning approach for pricing convertible bonds with path-dependent reset and call provisions
Qinwen Zhu, Wen Chen, Nicolas Langrené · 2026 · advanced · derivatives
convertible bonds · deep learning · machine learning · neural networks · partial differential equations
A Deep Learning Approach for Trading Factor Residuals
Wo Long, Victor Xiao · 2024 · advanced · machine learning
backtesting · deep learning · factor investing · financial machine learning · machine learning · statistical arbitrage
A Deep Learning Method for Predicting Mergers and Acquisitions: Temporal Dynamic Industry Networks
Dayu Yang · 2024 · advanced · machine learning
deep learning · machine learning · mergers and acquisitions · neural networks
A Deep Learning-Based Method for Fully Coupled Non-Markovian FBSDEs with Applications
Hasib Uddin Molla, Matthew Backhouse, Ankit Banarjee · 2025 · advanced · stochastic calculus
deep learning · machine learning · mathematical finance · numerical methods · stochastic differential equations
A deep learning-driven iterative scheme for high-dimensional HJB equations in portfolio selection with exogenous and endogenous costs
Dong Yan, Nanyi Zhang, Junyi Guo · 2025 · advanced · portfolio management
deep learning · liquidity risk · numerical methods · optimization · partial differential equations · portfolio optimization
A deep primal-dual BSDE method for optimal stopping problems
Jiefei Yang, Guanglian Li · 2024 · advanced · options
deep learning · neural networks · numerical methods · option pricing · stochastic differential equations
A Deep Reinforcement Learning Approach to Automated Stock Trading, using xLSTM Networks
Faezeh Sarlakifar, Mohammadreza Mohammadzadeh Asl, Sajjad Rezvani Khaledi · 2025 · advanced · machine learning
algorithmic trading · deep learning · machine learning · neural networks · reinforcement learning · time series
A Deep Reinforcement Learning Framework for Dynamic Portfolio Optimization: Evidence from China's Stock Market
Gang Huang, Xiaohua Zhou, Qingyang Song · 2024 · advanced · portfolio management
backtesting · deep learning · machine learning · neural networks · portfolio management · portfolio optimization
A Deep Reinforcement Learning Framework For Financial Portfolio Management
Jinyang Li · 2024 · advanced · machine learning
deep learning · machine learning · neural networks · portfolio management · reinforcement learning
A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem
Zhengyao Jiang, Dixing Xu, Jinjun Liang · 2017 · advanced · machine learning
backtesting · deep learning · neural networks · portfolio management · reinforcement learning
A deep solver for backward stochastic Volterra integral equations
Kristoffer Andersson, Alessandro Gnoatto, Camilo Andrés García Trillos · 2025 · advanced · machine learning
deep learning · neural networks · numerical methods · stochastic calculus · stochastic processes
A deep solver for BSDEs with jumps
Kristoffer Andersson, Alessandro Gnoatto, Marco Patacca · 2022 · advanced · machine learning
deep learning · jump processes · machine learning · option pricing · stochastic differential equations
A Derivative Pricing Perspective on Liquidity Tokens in Constant Product Market Makers
Maxim Bichuch, Zachary Feinstein · 2024 · advanced · derivatives
decentralized finance · derivatives · market making