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Quant finance research papers
9383 research papers selected for learning quantitative finance. Highlighted picks come first. Showing 9001–9050; page 181 of 188.
Universality and Heterogeneity of Stylized Facts in Cryptocurrency and Equity Markets
Jaesung Kim, Changhee Cho, Jae Woo Lee · 2026 · intermediate · time series
cryptocurrencies · equity markets · statistics · time series
Unleashing the power of text for credit default prediction: Comparing human-written and generative AI-refined texts
Zongxiao Wu, Yizhe Dong, Yaoyiran Li · 2025 · intermediate · risk management
credit risk · deep learning · large language models · machine learning · natural language processing
Unlocking Profit Potential: Maximizing Returns with Bayesian Optimization of Supertrend Indicator Parameters
Abdul Rahman · 2024 · intermediate · quantitative trading
bayesian statistics · optimization
Unpredictable After All? A short note on exchange rate predictability
Moerman, G.A. · 2001 · intermediate · time series
econometrics · foreign exchange · time series
Unraveling the Trade-off between Sustainability and Returns: A Multivariate Utility Analysis
Marcos Escobar-Anel, Yiyao Jiao · 2023 · advanced · portfolio management
capm · esg · portfolio optimization · sustainable investing
Unravelling the Probabilistic Forest: Arbitrage in Prediction Markets
Oriol Saguillo, Vahid Ghafouri, Lucianna Kiffer · 2025 · advanced · quantitative trading
quantitative trading
Unravelling the Trading Invariance Hypothesis
Michael Benzaquen, Jonathan Donier, Jean-Philippe Bouchaud · 2016 · advanced · quantitative trading
market microstructure
Unsupervised Learning-based Calibration Scheme for Rough Volatility Models
Changqing Teng, Guanglian Li · 2024 · advanced · options
deep learning · machine learning · model calibration · rough volatility
Unveiling Early Warning Signals of Systemic Risks in Banks: A Recurrence Network-Based Approach
Shijia Song, Handong Li · 2023 · advanced · risk management
financial networks · systemic risk · time series
Unveiling Hedge Funds: Topic Modeling and Sentiment Correlation with Fund Performance
Chang Liu · 2025 · advanced · machine learning
financial machine learning · hedge funds · machine learning · natural language processing
Unveiling Nonlinear Dynamics in Catastrophe Bond Pricing: A Machine Learning Perspective
Xiaowei Chen, Hong Li, Yufan Lu · 2024 · intermediate · machine learning
asset pricing · machine learning
Unveiling the directional network behind the financial statements data using volatility constraint correlation
Tomoshiro Ochiai, Jose C. Nacher · 2020 · advanced · statistics
statistics
Unveiling the Impact of Macroeconomic Policies: A Double Machine Learning Approach to Analyzing Interest Rate Effects on Financial Markets
Anoop Kumar, Suresh Dodda, Navin Kamuni · 2024 · advanced · statistics
causal identification · causal inference · fixed income · interest rates · machine learning · regression
Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment
Bingyao Liu, Iris Li, Jianhua Yao · 2024 · advanced · risk management
credit risk · deep learning · machine learning · neural networks
Unwinding Stochastic Order Flow: When to Warehouse Trades
Marcel Nutz, Kevin Webster, Long Zhao · 2023 · advanced · quantitative trading
optimal execution · stochastic processes · transaction costs
Unwinding Toxic Flow with Partial Information
Alexander Barzykin, Robert Boyce, Eyal Neuman · 2024 · advanced · quantitative trading
market making · market microstructure · optimal execution · stochastic processes
Unwitting Markowitz' Simplification of Portfolio Random Returns
Victor Olkhov · 2025 · intermediate · portfolio management
portfolio management
Upper Comonotonicity and Risk Aggregation under Dependence Uncertainty
Corrado De Vecchi, Max Nendel, Jan Streicher · 2024 · advanced · risk management
risk management · tail risk
Upside and Downside Risk Exposures of Currency Carry Trades via Tail Dependence
Matthew Ames, Gareth W. Peters, Guillaume Bagnarosa · 2014 · advanced · risk management
copulas · foreign exchange · tail risk
US Real Interest Rates and Default Risk in Emerging Economies
Nathan Foley-Fisher, Bernardo Guimaraes · 2009 · intermediate · fixed income
financial economics · interest rates
Use Cases of Quantum Optimization for Finance
Samuel Mugel, Enrique Lizaso, Roman Orus · 2020 · advanced · portfolio management
algorithms · optimization · portfolio optimization
Use of Machine Learning Techniques to Create a Credit Score Model for Airtime Loans
Bernard Dushimimana, Yvonne Wambui, Timothy Lubega · 2020 · intermediate · risk management
credit risk · machine learning
Uses of Sub-sample Estimates to Reduce Errors in Stochastic Optimization Models
John R. Birge · 2023 · advanced · portfolio management
optimization · portfolio optimization
Using a mean changing stochastic processes exit-entry model for stock market long-short prediction
Lleo, Sebastien, Zhitlukhin, Mikhail, Ziemba, William · 2021 · intermediate · quantitative trading
stochastic processes
Using ARIMA Forecasts to Explore the Efficiency of the Forward Reichsmark Market
Komlos, John, Flandreau, Marc · 2002 · intermediate · time series
econometrics · foreign exchange · market efficiency · time series
Using ARIMA Forecasts to Explore the Efficiency of the Forward Reichsmark Market: Austria-Hungary, 1876-1914
Komlos, John, Flandreau, Marc · 2006 · intermediate · time series
econometrics · foreign exchange · market efficiency · statistics · time series
Using CPI in Loss Given Default Forecasting Models for Commercial Real Estate Portfolio
Ying Wu, Garvit Arora, Xuan Mei · 2024 · intermediate · risk management
credit risk · real estate
Using equity premium survey data to estimate future wealth
Freeman, Mark C., Groom, Ben · 2014 · intermediate · portfolio management
portfolio optimization · probability · statistics
Using Experimental Economics to Measure Social Capital And Predict Financial Decisions
Dean S. Karlan · 2005 · intermediate · risk management
credit markets
Using four different online media sources to forecast the crude oil price
M. Elshendy, A. Fronzetti Colladon, E. Battistoni · 2021 · intermediate · time series
time series
Using Individual Stocks or Portfolios in Tests of Factor Models
Andrew Ang, Jun Liu, Krista B. Schwarz · 2008 · advanced · statistics
asset pricing · regression · statistical inference
Using Machine Learning to Forecast Market Direction with Efficient Frontier Coefficients
Nolan Alexander, William Scherer · 2024 · advanced · portfolio management
machine learning · portfolio management · portfolio optimization
Using Mathematics to Make Money
James H. Simons · 2023
Hedge Funds · Investment History · Mathematics · Quant Biography · Renaissance Technologies
Using Network-based Causal Inference to Detect the Sources of Contagion in the Currency Market
Katerina Rigana, Ernst-Jan Camiel Wit, Samantha Cook · 2021 · advanced · risk management
causal inference · contagion · financial networks · foreign exchange
Using Networks and Partial Differential Equations to Predict Bitcoin Price
Yufang Wang, Haiyan Wang · 2020 · advanced · time series
partial differential equations
Using Probabilistic Analysis to Value Power Generation Investments Under Uncertainty
Fabien A. Roques, William J. Nuttall, David M. Newbery · 2006 · intermediate · other
monte carlo simulation
Using pseudo-parabolic and fractional equations for option pricing in jump diffusion models
Andrey Itkin, Peter Carr · 2010 · advanced · options
jump processes · numerical methods · option pricing · partial differential equations
Using quantile time series and historical simulation to forecast financial risk multiple steps ahead
Richard Gerlach, Antonio Naimoli, Giuseppe Storti · 2025 · advanced · risk management
risk management · statistics · time series
Using the Yield Curve to Forecast Recessions … do you feel lucky?
CFM · 2022 · intermediate · time series
interest rates
Using time series methods to assess information and inventory effects in a dealer market in Il-liquid stocks
Snell, Andy, Tonks, Ian · 1996 · advanced · quantitative trading
econometrics · market microstructure · time series
Utility indifference Option Pricing Model with a Non-Constant Risk-Aversion under Transaction Costs and Its Numerical Approximation
Pedro Polvora, Daniel Sevcovic · 2021 · advanced · options
mathematical finance · numerical methods · option pricing · partial differential equations · transaction costs
Utility indifference pricing and hedging for structured contracts in energy markets
Callegaro, Giorgia, Campi, Luciano, Giusto, Valeria · 2017 · advanced · derivatives
derivatives · mathematical finance · stochastic processes
Utility indifference valuation for non-smooth payoffs with an application to power derivatives
Benedetti, Giuseppe, Campi, Luciano · 2016 · advanced · derivatives
derivatives · mathematical finance · partial differential equations · stochastic calculus · stochastic differential equations
Utility Maximisation with Model-independent Constraints
Alexander M. G. Cox, Daniel Hernandez-Hernandez · 2025 · advanced · portfolio management
derivatives · mathematical finance · optimization · portfolio optimization · stochastic processes
Utility-based acceptability indices
Marcin Pitera, Miklós Rásonyi · 2023 · advanced · portfolio management
financial economics · optimization · portfolio management · portfolio optimization
Utility-based pricing and hedging of contingent claims in Almgren-Chriss model with temporary price impact
Ibrahim Ekren, Sergey Nadtochiy · 2019 · advanced · options
optimization · option pricing · options hedging · partial differential equations
Utility-Weighted Forecasting and Calibration for Risk-Adjusted Decisions under Trading Frictions
Craig S Wright · 2026 · advanced · statistics
econometrics · transaction costs
Utilizing Effective Dynamic Graph Learning to Shield Financial Stability from Risk Propagation
Guanyuan Yu, Qing Li, Yu Zhao · 2025 · advanced · risk management
deep learning · financial networks · financial stability · machine learning · neural networks
Utilizing RNN for Real-time Cryptocurrency Price Prediction and Trading Strategy Optimization
Shamima Nasrin Tumpa, Kehelwala Dewage Gayan Maduranga · 2024 · intermediate · machine learning
backtesting · cryptocurrencies · deep learning · machine learning · neural networks · time series
VAIOM: Continuous-Input, Discrete-Output Decoder-Only Financial Sequence Modeling
Yiming Ma, Xinyu Chen · 2026 · advanced · machine learning
deep learning · financial machine learning · foreign exchange · machine learning · neural networks · time series