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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.

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. A comparative study of the MACD-base trading strategies: evidence from the US stock market

    Pat Tong Chio · 2022 · intermediate · quantitative trading

    backtesting · momentum

  7. 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

  8. 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

  9. 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

  10. A comparison of stock market mechanisms

    Giovanni Cespa · 2003 · advanced · quantitative trading

    financial economics · market efficiency · market microstructure

  11. 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

  12. 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

  13. 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

  14. 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

  15. A Computational Framework for Financial Structures

    Antonio Scala, Andrea Monaco · 2026 · advanced · risk management

    risk management

  16. A Conceptual Model of Investor Behavior

    Lovric, M., Kaymak, U., Spronk, J. · 2008 · intermediate · other

    behavioral finance

  17. 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

  18. A continuous-time Kyle model with price-responsive traders

    Eunjung Noh · 2026 · advanced · quantitative trading

    financial economics · market microstructure · momentum

  19. 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

  20. 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

  21. A Corporate Balance-Sheet Approach to Currency Crises

    Philippe Aghion, Philippe Bacchetta, Abhijit Banerjee · 2001 · advanced · risk management

    financial economics

  22. 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

  23. 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

  24. A Coupled Component GARCH Model for Intraday and Overnight Volatility

    Linton, O., Wu, J. · 2018 · advanced · time series

    garch · statistics · time series · volatility forecasting

  25. A Cross-Sectional Performance Measure for Portfolio Management

    Monica Billio, Ludovic Calès, Dominique Guegan · 2010 · intermediate · portfolio management

    portfolio management

  26. A Curationary Tale: Logarithmic Regret in DeFi Lending via Dynamic Pricing

    Tarun Chitra · 2025 · advanced · risk management

    decentralized finance

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. A Decomposition of Global Linkages in Financial Markets Over Time

    Forbes, Kristen, Chinn, Menzie David · 2003 · intermediate · statistics

    financial economics

  36. 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

  37. 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

  38. 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

  39. 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

  40. 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

  41. 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

  42. 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

  43. 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

  44. 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

  45. 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

  46. 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

  47. 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

  48. 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

  49. 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

  50. A Derivative Pricing Perspective on Liquidity Tokens in Constant Product Market Makers

    Maxim Bichuch, Zachary Feinstein · 2024 · advanced · derivatives

    decentralized finance · derivatives · market making