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Quant finance research papers

9383 research papers selected for learning quantitative finance. Highlighted picks come first. Showing 3801–3850; page 77 of 188.

  1. From Intraday Orderbook to Imbalance Price: Understanding Cross-Market Interaction

    Runyao Yu, Jochen L. Cremer, Pierre Pinson · 2026 · advanced · machine learning

    time series

  2. From Knowing to Doing: A Memory-Controlled Benchmark for LLM Trading Agents on Stock Markets

    Taojie Zhu, Wentao Zhao, Rui Sun · 2026 · advanced · machine learning

    backtesting · large language models · performance attribution

  3. From local to global: the rise of AIM as a stock market for growing companies: a comprehensive report analysing the growth of AIM

    Arcot, Sridhar, Black, Julia, Owen, Geoffrey · 2007 · intermediate · other

    equity markets

  4. From Means to Medians: Optimal Benchmark Design

    Ángel Hernando-Veciana · 2025 · advanced · quantitative trading

    decentralized finance · financial economics

  5. From Natural Language to Executable Option Strategies via Large Language Models

    Haochen Luo, Zhengzhao Lai, Junjie Xu · 2026 · advanced · options

    derivatives · large language models

  6. From News to Returns: A Granger-Causal Hypergraph Transformer on the Sphere

    Anoushka Harit, Zhongtian Sun, Jongmin Yu · 2025 · advanced · time series

    causal inference · deep learning · financial machine learning · machine learning · neural networks · time series

  7. From On-chain to Macro: Assessing the Importance of Data Source Diversity in Cryptocurrency Market Forecasting

    Giorgos Demosthenous, Chryssis Georgiou, Eliada Polydorou · 2025 · intermediate · time series

    cryptocurrencies · financial machine learning · time series

  8. From Public Evidence to Contractual Outcome: First and Stable Decidability on Kalshi

    Maksym Nechepurenko · 2026 · advanced · derivatives

    derivatives

  9. From rank-based models with common noise to pathwise entropy solutions of SPDEs

    Mykhaylo Shkolnikov, Lane Chun Yeung · 2024 · advanced · stochastic calculus

    partial differential equations · stochastic calculus · stochastic processes

  10. From Rattle to Roar: Optimizer Showdown for MambaStock on S&P 500

    Alena Chan, Maria Garmonina · 2025 · intermediate · machine learning

    deep learning · financial machine learning · machine learning · optimization · time series

  11. From rough to multifractal multidimensional volatility: A multidimensional Log S-fBM model

    Othmane Zarhali, Emmanuel Bacry, Jean-François Muzy · 2026 · advanced · time series

    rough volatility · stochastic processes

  12. From rough to multifractal volatility: The log S-fBM model

    Peng Wu, Jean-François Muzy, Emmanuel Bacry · 2022 · advanced · time series

    rough volatility · statistical inference · stochastic processes

  13. From sectorial coarse graining to extreme coarse graining of S&P 500 correlation matrices

    Manan Vyas, M. Mijaíl Martínez-Ramos, Parisa Majari · 2025 · intermediate · statistics

    statistics

  14. From the Black-Karasinski to the Verhulst model to accommodate the unconventional Fed's policy

    A. Itkin, A. Lipton, D. Muravey · 2020 · advanced · fixed income

    fixed income · interest rates · numerical methods · partial differential equations · stochastic differential equations · term structure models

  15. From Tweets to Transactions: High-Frequency Inflation Expectations, Consumption, and Stock Returns

    Benjamin Born, Nora Lamersdorf, Jana-Lynn Schuster · 2026 · intermediate · statistics

    equity markets · financial economics · natural language processing

  16. From Value Bounds to Policy-Distance and Active-Face Certificates: Same-Grid Duality for Constrained Dynamic Portfolios

    Jeonggyu Huh · 2026 · advanced · portfolio management

    numerical methods · optimization · portfolio management · portfolio optimization

  17. From Volatility to Variance: A Skew-Enhanced SABR Model and Its Empirical Study in the Chinese Financial Options Market

    Wenxuan Zhang, Zhouchi Lin, Benzhuo Lu · 2026 · advanced · options

    option pricing · stochastic processes

  18. From Votes to Volatility Predicting the Stock Market on Election Day

    Igor L. R. Azevedo, Toyotaro Suzumura · 2024 · intermediate · machine learning

    large language models · machine learning

  19. From Walras' auctioneer to continuous time double auctions: A general dynamic theory of supply and demand

    Jonathan Donier, Jean‐Philippe Bouchaud · 2015 · advanced · quantitative trading

    financial economics · liquidity

  20. From Which Consumption-Based Asset Pricing Models Can Investors Profit? Evidence from Model-Based Priors

    Mathias S. Kruttli · 2020 · advanced · statistics

    asset pricing · bayesian statistics · regression

  21. From Word Counts to Context: Topic Models for Asset Pricing

    Kevin Foley, Jonathan Hartadi, Shivesh Prakash · 2026 · intermediate · machine learning

    asset pricing · machine learning · natural language processing

  22. FSL-BDP: Federated Survival Learning with Bayesian Differential Privacy for Credit Risk Modeling

    Sultan Amed, Tanmay Sen, Sayantan Banerjee · 2026 · advanced · risk management

    bayesian statistics · credit risk · financial machine learning · machine learning

  23. FTX's downfall and Binance's consolidation: The fragility of centralised digital finance

    David Vidal-Tomás, Antonio Briola, Tomaso Aste · 2023 · advanced · risk management

    cryptocurrencies

  24. Fuel mix diversification incentives in liberalised electricity markets: a Mean-Variance Portfolio Theory Approach

    Fabien A. Roques, David M. Newbery, William J. Nuttall · 2006 · intermediate · portfolio management

    monte carlo simulation · optimization · portfolio management · portfolio optimization

  25. Full and fast calibration of the Heston stochastic volatility model

    Cui, Yiran, del Baño Rollin, Sebastian, Germano, Guido · 2017 · advanced · options

    model calibration · numerical methods · option pricing

  26. Full error analysis of the random deep splitting method for nonlinear parabolic PDEs and PIDEs

    Ariel Neufeld, Philipp Schmocker, Sizhou Wu · 2024 · advanced · machine learning

    deep learning · jump processes · neural networks · numerical methods · partial differential equations

  27. Full grid solution for multi-asset options pricing with tensor networks

    Lucas Arenstein, Michael Kastoryano · 2025 · advanced · options

    numerical methods · option pricing · partial differential equations

  28. Function approximations for counterparty credit exposure calculations

    Domagoj Demeterfi, Kathrin Glau, Linus Wunderlich · 2025 · advanced · risk management

    credit risk · derivatives · monte carlo simulation · numerical methods · risk management

  29. Functional Architecture of European Electricity Trading Markets: Requirements for AI Supported Trading Systems under Regulatory Constraints

    Walter Kurz, Wojtek Stricker · 2026 · advanced · quantitative trading

    quantitative trading

  30. Functional central limit theorems for rough volatility

    Blanka Horvath, Antoine Jacquier, Aitor Muguruza · 2017 · advanced · stochastic calculus

    brownian motion · monte carlo simulation · numerical methods · rough volatility · stochastic processes

  31. Functional Clustering of Discount Functions for Behavioral Investor Profiling

    Annamaria Porreca, Viviana Ventre, Roberta Martino · 2024 · intermediate · statistics

    behavioral finance

  32. Functional Expansions

    Bruno Dupire, Valentin Tissot-Daguette · 2022 · advanced · stochastic calculus

    calculus · mathematical finance

  33. Functional integration by parts formulae for stochastic Volterra processes

    Alexandre Pannier · 2026 · advanced · stochastic calculus

    calculus · rough volatility · stochastic processes

  34. Functional quantization of rough volatility and applications to volatility derivatives

    Ofelia Bonesini, Giorgia Callegaro, Antoine Jacquier · 2021 · advanced · options

    derivatives · numerical methods · option pricing · rough volatility

  35. Functionally Generated Portfolios Under Stochastic Transaction Costs: Theory and Empirical Evidence

    Nader Karimi, Erfan Salavati · 2025 · advanced · portfolio management

    backtesting · liquidity risk · portfolio management · stochastic differential equations · stochastic processes · transaction costs

  36. Fund Asset Inference Using Machine Learning Methods: What's in That Portfolio?

    Byrd, David, Bajaj, Sourabh, Balch, Tucker Hybinette · 2019 · intermediate · machine learning

    algorithms · machine learning · mutual funds

  37. Fund Competition under Conflicting ESG Rating Methodologies

    Wanling Rudkin · 2026 · intermediate · portfolio management

    esg · financial economics · mutual funds · sustainable investing

  38. Fund flows and asset prices: a baseline model

    Vayanos, Dimitri, Woolley, Paul · 2011 · intermediate · portfolio management

    asset pricing

  39. Fund liquidation, self-selection and look-ahead bias in the hedge fund industry

    ter Horst, J.R., Verbeek, M.J.C.M. · 2004 · intermediate · statistics

    hedge funds

  40. Fund Managers' Contracts and Financial Markets' Short-Termism

    Casamatta, Catherine, Pouget, Sébastien · 2011 · advanced · other

    financial economics · market efficiency

  41. Fund2Persona: A Framework for Building and Refining Financial Advisor Personas from Fund Disclosure Data

    Suhwan Park, Hoyoung Lee, Zhangyang Wang · 2026 · advanced · machine learning

    large language models

  42. Fundamental and Financial Influences on the Co-movement of Oil and Gas prices

    Derek Bunn, Julien Chevallier, Yannick Le Pen · 2017 · advanced · statistics

    commodities · econometrics

  43. Fundamental market design as a layer of AI-agent alignment

    Omar Inverso, Emilio Tuosto, Dragisa Zunic · 2026 · advanced · quantitative trading

    quantitative trading

  44. Fundamental Properties of Linear Factor Models

    Damir Filipovic, Paul Schneider · 2024 · advanced · statistics

    asset pricing · regression

  45. Fundamental theorem of asset pricing with acceptable risk in markets with frictions

    Maria Arduca, Cosimo Munari · 2020 · advanced · derivatives

    asset pricing · mathematical finance · transaction costs

  46. Fundamental Trends and Dislocated Markets: An Integrated Approach to Global Macro Investing

    Paras Bakrania, Caroline Heinrichs · 2019 · intermediate · portfolio management

    portfolio management

  47. Fundamental Volatility and Financial Stability

    Gabriel Desgranges, Stéphane Gauthier · 2023 · advanced · risk management

    financial economics · financial stability

  48. Fundamentals News, Global Liquidity and Macroprudential Policy

    Enrique G. Mendoza, Javier Bianchi, Chenxin Liu · 2016 · advanced · risk management

    economic policy · systemic risk

  49. Fundamentals of Perpetual Futures

    Songrun He, Asaf Manela, Omri Ross · 2022 · advanced · derivatives

    asset pricing · cryptocurrencies · derivatives

  50. Fundamentals versus market sentiments in the euro bond markets: implications for QE

    de Grauwe, Paul, Ji, Yuemei, Macchiarelli, Corrado · 2017 · intermediate · fixed income

    fixed income