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Quant finance research papers
9383 research papers selected for learning quantitative finance. Highlighted picks come first. Showing 5751–5800; page 116 of 188.
Non-stationary Financial Risk Factors and Macroeconomic Vulnerability for the UK
Katalin Varga, Tibor Szendrei · 2024 · advanced · risk management
bayesian statistics · econometrics · financial stability · systemic risk · tail risk · time series
Non-traded call's volatility smiles
Marek Capinski · 2019 · intermediate · options
mathematical finance · option pricing · options hedging
Non-U.S. Asset-Backed Securities: Spread Determinants and Over-Reliance on Credit Ratings
Dennis Vink, Frank Fabozzi · 2009 · advanced · fixed income
credit risk · fixed income · panel data · regression
Non-unique time and market incompleteness
Chris Angstmann, Tim Gebbie · 2026 · advanced · stochastic calculus
stochastic processes
Nonconcave Portfolio Choice under Smooth Ambiguity
Emanuele Borgonovo, An Chen, Massimo Marinacci · 2026 · advanced · portfolio management
bayesian statistics · portfolio management · portfolio optimization
Nonhedgeable risk and Credit Risk Pricing
Juan Dong, Lyudmila Korobenko, Deniz Sezer · 2019 · advanced · fixed income
credit risk · fixed income · mathematical finance · stochastic processes
Nonlinear and Heavy-Tailed Predictability in Transition-Energy Financial Markets
Kpante Emmanuel Gnandi, Fredy Pokou, Jules Sadefo Kamdem · 2026 · advanced · time series
econometrics · machine learning · statistics · time series
Nonlinear Dynamics in Monetary Policy-Fueled Stock Market Bubbles
Monia Magnani, Massimo Guidolin · 2025 · advanced · time series
econometrics · equity markets · time series
Nonlinear Error-Correction Models for Interest Rates in The Netherlands
van Dijk, D.J.C., Franses, Ph.H.B.F. · 1997 · advanced · time series
econometrics · hypothesis testing · interest rates · time series
Nonlinear Evidence of Investor Heterogeneity: Retail Cash Flows as Drivers of Market Dynamics
Gabjin Oh · 2025 · advanced · time series
equity markets · time series
Nonlinear Factor Decomposition via Kolmogorov-Arnold Networks: A Spectral Approach to Asset Return Analysis
David Breazu · 2026 · advanced · machine learning
machine learning · neural networks · statistics
Nonlinear price impact from linear models
Felix Patzelt, Jean-Philippe Bouchaud · 2017 · advanced · quantitative trading
market microstructure · time series
Nonlinear shifts and dislocations in financial market structure and composition
Nick James, Max Menzies · 2024 · advanced · portfolio management
portfolio management
Nonlinear shrinkage estimation of large integrated covariance matrices
Lam, Clifford, Feng, Phoenix, Hu, Charlie · 2017 · advanced · statistics
statistics
Nonlinear time series and neural-network models of exchange rates between the US dollar and major currencies
Allen, D.E., McAleer, M.J., Peiris, S. · 2015 · advanced · time series
econometrics · foreign exchange · machine learning · neural networks · regression · time series
Nonlinearity, Breaks, and Long-Range Dependence in Time-Series Models
Eric Hillebrand, Marcelo C. Medeiros · 2012 · advanced · time series
econometrics · statistical inference · statistics · time series
Nonlocal onset of instability in an asset pricing model with heterogeneous agents
Gaunersdorfer, A., Hommes, C.H., Wagener, F.O.O. · 2003 · advanced · time series
financial economics
Nonparameteric forecasting of multivariate probability density functions
Dominique Guegan, Matteo Iacopini · 2018 · advanced · time series
copulas · probability · statistics · time series
Nonparametric Analysis of Hedge Funds Lifetimes
Serge Darolles, Jean‐Pierre Florens, Guillaume Simon · 2010 · advanced · statistics
econometrics · hedge funds · statistics
Nonparametric Assessment of Hedge Fund Performance
Almeida, Caio, Ardison, Kim, Garcia, René · 2019 · advanced · statistics
asset pricing · hedge funds
Nonparametric Beta Kernel Estimator for Long Memory Time Series
Bouezmarni, Taoufik, Van Bellegem, Sébastien · 2009 · advanced · time series
statistics · time series
Nonparametric calibration of jump-diffusion option pricing models.
Rama Cont, Peter Tankov · 2004 · advanced · options
jump processes · model calibration · numerical methods · optimization · option pricing
Nonparametric estimates of option prices via Hermite basis functions
Carlo Marinelli, Stefano d'Addona · 2022 · advanced · options
option pricing
Nonparametric Estimation of a Multifactor Heath-Jarrow-Morton Model: An Integrated Approach
Andrew Jeffrey, Linton, Oliver Linton, Thong Nguyen · 2001 · advanced · fixed income
fixed income · interest rates · statistics · term structure models
Nonparametric estimation of conditional beta pricing models
Ferreira, Eva, Gil-Bazo, Javier, Orbe, Susan · 2008 · advanced · statistics
asset pricing · statistical inference
Nonparametric estimation of infinite order regression and its application to the risk-return tradeoff
Hong, S-Y., Linton, O. · 2018 · advanced · statistics
econometrics · regression · statistical inference · statistics · time series
Nonparametric Estimation of Large Spot Volatility Matrices for High-Frequency Financial Data
Bu, R., Li, D., Linton, O. · 2022 · advanced · statistics
statistics
Nonparametric Estimation of Self- and Cross-Impact
Natascha Hey, Eyal Neuman, Sturmius Tuschmann · 2025 · advanced · quantitative trading
market microstructure · statistical inference
Nonparametric Estimation of State-Price Densities Implicit in Financial Asset Prices
Yacine Aït-Sahalia, Andrew W. Lo · advanced · options
derivatives · option pricing · statistical inference · statistics
Nonparametric Euler Equation Identi?cation and Estimation
Escanciano, J C., Hoderlein, S., Lewbel, A. · 2020 · advanced · statistics
asset pricing
Nonparametric Euler Equation Identification andEstimation
Juan Carlos Escanciano, Stefan Hoderlein, Arthur Lewbel · 2015 · advanced · statistics
asset pricing · econometrics · statistics
Nonparametric likelihood for volatility under high frequency data
Lorenzo Camponovo, Yukitoshi Matsushita, Taisuke Otsu · 2015 · advanced · statistics
statistical inference · statistics
Nonparametric Neural Network Estimation of Lyapunov Exponents and a Direct Test for Chaos
Oliver Linton, Mototsugu Shintani · 2003 · advanced · statistics
hypothesis testing · neural networks · regression · statistical inference · statistics · time series
Nonparametric Neutral Network Estimation of Lyapunov Exponents and a Direct Test for Chaos
Oliver Linton, Mototsugu Shintani · 2002 · advanced · statistics
hypothesis testing · regression · statistical inference · statistics · time series
Nonparametric Option Pricing with Generalized Entropic Estimators
Caio Almeida, Gustavo Freire, Rafael Azevedo · 2022 · advanced · options
derivatives · mathematical finance · option pricing · statistics
Nonparametric Predictive Regressions for Stock Return Prediction
Cheng, T., Gao, J., Linton, O. · 2019 · advanced · time series
econometrics · regression · statistics · time series
Nonparametric Pricing and Hedging of Volatility Swaps in Stochastic Volatility Models
Frido Rolloos · 2020 · advanced · options
derivatives · option pricing · options hedging · volatility trading
Nonparametric Recovery of the Yield Curve Evolution from Cross-Section and Time Series Information
Koo, B., La Vecchia, D., Linton, O. · 2019 · advanced · fixed income
fixed income · interest rates · panel data · statistics
Norms Based on Generalized Expected-Shortfalls and Applications
Shuyu Gong, Taizhong Hu, Zhenfeng Zou · 2025 · advanced · risk management
optimization · risk management
Northern Ireland in turmoil: a quantitative analysis of the impact of the Troubles on the Irish Stock Market
Donohoe, Maitiú · 2024 · intermediate · statistics
equity markets · statistical inference
Not All LPs Are Equal: The Active-Passive Gap in Automated Market Maker Liquidity Provision
Agathe Sadeghi, Dingyue Liu, Ciamac Moallemi · 2026 · advanced · quantitative trading
liquidity · performance attribution
Not Risk Parity Funds
Michael A. Mendelson · 2018 · beginner · risk management
risk management
Note on a Theoretical Justification for Approximations of Arithmetic Forwards
Álvaro Romaniega · 2024 · advanced · fixed income
interest rates
Notes on Correlation Stress Tests
Piotr Chmielowski · 2025 · advanced · risk management
risk management · stress testing
Notes on the SWIFT method based on Shannon Wavelets for Option Pricing
Fabien Le Floc'h · 2020 · advanced · options
numerical methods · option pricing
Notes on the yield curve
Martin, Ian, Ross, Steve · 2019 · advanced · fixed income
fixed income · interest rates · term structure models
Novel Risk Measures for Portfolio Optimization Using Equal-Correlation Portfolio Strategy
Biswarup Chakraborty · 2025 · intermediate · portfolio management
optimization · portfolio management · portfolio optimization · risk management
NoxTrader: LSTM-Based Stock Return Momentum Prediction for Quantitative Trading
Hsiang-Hui Liu, Han-Jay Shu, Wei-Ning Chiu · 2023 · intermediate · quantitative trading
algorithmic trading · backtesting · machine learning · momentum · neural networks · time series
NUFFT for the Fast COS Method
Fabien LeFloc'h · 2025 · advanced · options
numerical methods · option pricing
Null-Validated Topological Signatures of Financial Market Dynamics
Samuel W. Akingbade · 2026 · advanced · time series
hypothesis testing · statistical inference · time series