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Quant finance research papers

9383 research papers selected for learning quantitative finance. Highlighted picks come first. Showing 401–450; page 9 of 188.

  1. A Practical Approach to Financial Crisis Indicators Based on Random Matrices

    Antoine Kornprobst, Raphael Douady · 2015 · advanced · risk management

    statistics

  2. A Practical Guide to Quantitative Volatility Trading

    Daniel Bloch · 2016

    derivatives · mathematical finance · option pricing · volatility surface · volatility trading

  3. A Practical Guide to Strip Caplet Volatilities

    Fabien Le Floc'h · 2026 · advanced · options

    derivatives · interest rates · numerical methods

  4. A Practical Machine Learning Approach for Dynamic Stock Recommendation

    Hongyang Yang, Xiao-Yang Liu, Qingwei Wu · 2025 · intermediate · machine learning

    machine learning · regression

  5. A Practitioner's Guide to AI+ML in Portfolio Investing

    Mehmet Caner Qingliang Fan · 2025 · advanced · portfolio management

    financial machine learning · machine learning · portfolio optimization · statistics

  6. A Preference-Free Formula to Value Commodity Derivatives

    Rodriguez, J.C. · 2007 · advanced · derivatives

    asset pricing · commodities · derivatives · stochastic processes

  7. A preferred-habitat model of term premia, exchange rates, and monetary policy spillovers

    Gourinchas, Pierre-Olivier, Ray, Walker, Vayanos, Dimitri · 2025 · advanced · fixed income

    asset pricing · financial economics · fixed income · foreign exchange · interest rates · term structure models

  8. A preferred-habitat model of the term structure of interest rates

    Vayanos, Dimitri, Vila, Jean-Luc · 2009 · intermediate · fixed income

    asset pricing · fixed income · interest rates · term structure models

  9. A Price-Based Framework for Stochastic Portfolio Theory

    Jongbong An, Donghan Kim · 2026 · advanced · portfolio management

    stochastic processes

  10. A primal-dual decomposition based interior point approach to two-stage stochastic linear programming

    Berkelaar, A.B., Dert, C.L., Oldenkamp, K.P.B. · 1999 · advanced · portfolio management

    numerical methods · optimization

  11. A Probabilistic Approach to Nonparametric Local Volatility

    Martin Tegnér, Stephen Roberts · 2019 · advanced · options

    bayesian statistics · derivatives · model calibration · option pricing · statistical inference · volatility surface

  12. A property of log-concave and weakly-symmetric distributions for two step approximations of random variables

    Mihaela-Adriana Nistor, Ionel Popescu · 2026 · advanced · risk management

    convex optimization

  13. A proposal for an open-source financial risk model

    Ho Hwang, Jong · 2014 · intermediate · risk management

    risk management

  14. A proposal for impact-adjusted valuation: critical leverage and execution risk

    CFM · 2012 · advanced · risk management

    liquidity · liquidity risk

  15. A Put-Call Transformation of the Exchange Option Problem under Stochastic Volatility and Jump Diffusion Dynamics

    Len Patrick Dominic M. Garces, Gerald H. L. Cheang · 2020 · advanced · options

    jump processes · option pricing · stochastic processes

  16. A q-binomial extension of the CRR asset pricing model

    Jean-Christophe Breton, Youssef El-Khatib, Jun Fan · 2021 · advanced · derivatives

    probability · stochastic processes

  17. A Quantum algorithm for linear PDEs arising in Finance

    Filipe Fontanela, Antoine Jacquier, Mugad Oumgari · 2019 · advanced · options

    derivatives · option pricing · partial differential equations

  18. A quantum unstructured search algorithm for discrete optimisation: the use case of portfolio optimisation

    Titos Matsakos, Adrian Lomas · 2025 · advanced · portfolio management

    algorithms · optimization · portfolio optimization

  19. A Random Forest approach to detect and identify Unlawful Insider Trading

    Krishna Neupane, Igor Griva · 2024 · intermediate · machine learning

    data science · financial machine learning · machine learning

  20. A random forest based approach for predicting spreads in the primary catastrophe bond market

    Despoina Makariou, Pauline Barrieu, Yining Chen · 2020 · intermediate · machine learning

    machine learning

  21. A Range-Based Multivariate Model for Exchange Rate Volatility

    Tims, B., Mahieu, R.J. · 2003 · advanced · time series

    foreign exchange · statistics · stochastic processes · time series

  22. A Range-Based Test for the Parametric Form of the Volatility in Diffusion Models

    Mark Podolskij, Daniel Ziggel · 2008 · advanced · statistics

    hypothesis testing · statistical inference · statistics · stochastic differential equations · stochastic processes

  23. A Rank Approach to Equity Forecast Construction

    Satchell, S.E., Wright, S.M. · 2005 · intermediate · portfolio management

    factor investing · statistics

  24. A Reappraisal of the Allocation Puzzle through the Portfolio Approach

    Benhima Kenza · 2012 · advanced · portfolio management

    financial economics

  25. A Recommitment Strategy for Long Term Private Equity Fund Investors

    de Zwart, G.J., Frieser, B., van Dijk, D.J.C. · 2007 · intermediate · portfolio management

    portfolio management

  26. A reconsideration of Minsky’s financial instabilityhypothesis

    Bhattacharya, Sudipto, Goodhart, Charles, Tsomocos, Dimitrios P. · 2015 · advanced · risk management

    financial stability

  27. A recursive formula for the $n^\text{th}$ survival function and the $n^\text{th}$ first passage time distribution for jump and diffusion processes. Applications to the pricing of $n^\text{th}$-to-default CDS

    Alessio Lapolla · 2025 · advanced · stochastic calculus

    jump processes · stochastic processes

  28. A Reduced Form Framework for Modeling Volatility of Speculative Prices based on Realized Variation Measures

    Torben G. Andersen, Tim Bollerslev, Xin Huang · 2007 · advanced · time series

    econometrics · statistics

  29. A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading

    Yuan Li, Bingqiao Luo, Qian Wang · 2024 · advanced · machine learning

    algorithmic trading · cryptocurrencies · large language models

  30. A Regression-Based Share Market Prediction Model for Bangladesh

    Syeda Tasnim Fabiha, Rubaiyat Jahan Mumu, Farzana Aktar · 2025 · intermediate · time series

    regression

  31. A regularity structure for rough volatility

    Christian Bayer, Peter K. Friz, Paul Gassiat · 2017 · advanced · stochastic calculus

    rough volatility · stochastic processes

  32. A Regulator's Career Option: Revolving Doors, Regulatory Signals, and Firm Tail Risk

    G. Charles-Cadogan · 2026 · advanced · risk management

    capital structure · financial economics · option greeks · tail risk

  33. A reinforcement learning extension to the Almgren-Chriss model for optimal trade execution

    Dieter Hendricks, Diane Wilcox · 2014 · advanced · quantitative trading

    machine learning · market microstructure · optimal execution · reinforcement learning · transaction costs

  34. A Relative View on Tracking Error

    Winfried George Hallerbach, Igor Pouchkarev · 2005 · intermediate · portfolio management

    portfolio management

  35. A remark on arbitrage free prices in multi-period economy

    Bernard Cornet, Abhishek Ranjan · 2012 · advanced · other

    financial economics · mathematical finance

  36. A ReMeDI for Microstructure Noise

    Merrick Li, Z., Linton, O. · 2019 · advanced · statistics

    market microstructure · statistics

  37. A representation of Keynes's long-term expectation in financial markets

    Marcello Basili, Alain Chateauneuf, Giuliano Antonio · 2023 · advanced · other

    financial economics · probability

  38. A return-diversification approach to portfolio selection

    Francesco Cesarone, Rosella Giacometti, Manuel Luis Martino · 2023 · intermediate · portfolio management

    optimization · portfolio management · portfolio optimization

  39. A Review of Large Language Models for Stock Price Forecasting from a Hedge-Fund Perspective

    Olivia Zhang, Zhilin Zhang · 2026 · advanced · machine learning

    financial machine learning · large language models · machine learning · natural language processing

  40. A Review of Reinforcement Learning in Financial Applications

    Yahui Bai, Yuhe Gao, Runzhe Wan · 2024 · intermediate · machine learning

    machine learning · reinforcement learning

  41. A review of the Markov model of life insurance with a view to surplus

    Oytun Haçarız, Torsten Kleinow, Angus S. Macdonald · 2025 · advanced · risk management

    insurance · stochastic processes

  42. A revised comparison between FF five-factor model and three-factor model,based on China's A-share market

    Zhijing Zhang, Yue Yu, Qinghua Ma · 2021 · intermediate · statistics

    asset pricing · regression

  43. A Risk Management Approach for Portfolio Insurance Strategies

    Benjamin Hamidi, Bertrand Maillet, Jean-Luc Prigent · 2009 · advanced · risk management

    risk management

  44. A Risk Mitigation Model of Monetary Ecosystem with Stablecoins

    Hongzhe Wen, R. S. M. Lau · 2025 · intermediate · risk management

    financial stability · liquidity risk · systemic risk

  45. A Risk Sensitive Contract-unified Reinforcement Learning Approach for Option Hedging

    Xianhua Peng, Xiang Zhou, Bo Xiao · 2024 · advanced · options

    machine learning · options hedging · reinforcement learning · risk management · tail risk

  46. A Risk-Neutral Neural Operator for Arbitrage-Free SPX-VIX Term Structures

    Jian'an Zhang · 2025 · advanced · options

    deep learning · derivatives · machine learning · neural networks

  47. A Robust Statistical Analysis of the Role of Hydropower on the System Electricity Price and Price Volatility

    Olukunle O. Owolabi, Kathryn Lawson, Sanhita Sengupta · 2022 · intermediate · time series

    econometrics · regression · statistical inference · statistics

  48. A robust stochastic control problem with applications to monotone mean-variance problems

    Yuyang Chen, Tianjiao Hua, Peng Luo · 2024 · advanced · stochastic calculus

    stochastic calculus · stochastic processes

  49. A Robust Transferable Deep Learning Framework for Cross-sectional Investment Strategy

    Kei Nakagawa, Masaya Abe, Junpei Komiyama · 2019 · advanced · machine learning

    deep learning · equity markets · factor investing · machine learning · neural networks

  50. A Run on Fossil Fuel? Climate Change and Transition Risk

    Michael Barnett · 2024 · advanced · risk management

    asset pricing · financial economics