smq/directoryAn evolving quant resource archive

Browse / Research papers

Quant finance research papers

9383 research papers selected for learning quantitative finance. Highlighted picks come first. Showing 5751–5800; page 116 of 188.

  1. 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

  2. Non-traded call's volatility smiles

    Marek Capinski · 2019 · intermediate · options

    mathematical finance · option pricing · options hedging

  3. 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

  4. Non-unique time and market incompleteness

    Chris Angstmann, Tim Gebbie · 2026 · advanced · stochastic calculus

    stochastic processes

  5. Nonconcave Portfolio Choice under Smooth Ambiguity

    Emanuele Borgonovo, An Chen, Massimo Marinacci · 2026 · advanced · portfolio management

    bayesian statistics · portfolio management · portfolio optimization

  6. Nonhedgeable risk and Credit Risk Pricing

    Juan Dong, Lyudmila Korobenko, Deniz Sezer · 2019 · advanced · fixed income

    credit risk · fixed income · mathematical finance · stochastic processes

  7. 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

  8. Nonlinear Dynamics in Monetary Policy-Fueled Stock Market Bubbles

    Monia Magnani, Massimo Guidolin · 2025 · advanced · time series

    econometrics · equity markets · time series

  9. 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

  10. Nonlinear Evidence of Investor Heterogeneity: Retail Cash Flows as Drivers of Market Dynamics

    Gabjin Oh · 2025 · advanced · time series

    equity markets · time series

  11. 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

  12. Nonlinear price impact from linear models

    Felix Patzelt, Jean-Philippe Bouchaud · 2017 · advanced · quantitative trading

    market microstructure · time series

  13. Nonlinear shifts and dislocations in financial market structure and composition

    Nick James, Max Menzies · 2024 · advanced · portfolio management

    portfolio management

  14. Nonlinear shrinkage estimation of large integrated covariance matrices

    Lam, Clifford, Feng, Phoenix, Hu, Charlie · 2017 · advanced · statistics

    statistics

  15. 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

  16. 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

  17. 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

  18. Nonparameteric forecasting of multivariate probability density functions

    Dominique Guegan, Matteo Iacopini · 2018 · advanced · time series

    copulas · probability · statistics · time series

  19. Nonparametric Analysis of Hedge Funds Lifetimes

    Serge Darolles, Jean‐Pierre Florens, Guillaume Simon · 2010 · advanced · statistics

    econometrics · hedge funds · statistics

  20. Nonparametric Assessment of Hedge Fund Performance

    Almeida, Caio, Ardison, Kim, Garcia, René · 2019 · advanced · statistics

    asset pricing · hedge funds

  21. Nonparametric Beta Kernel Estimator for Long Memory Time Series

    Bouezmarni, Taoufik, Van Bellegem, Sébastien · 2009 · advanced · time series

    statistics · time series

  22. Nonparametric calibration of jump-diffusion option pricing models.

    Rama Cont, Peter Tankov · 2004 · advanced · options

    jump processes · model calibration · numerical methods · optimization · option pricing

  23. Nonparametric estimates of option prices via Hermite basis functions

    Carlo Marinelli, Stefano d'Addona · 2022 · advanced · options

    option pricing

  24. 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

  25. Nonparametric estimation of conditional beta pricing models

    Ferreira, Eva, Gil-Bazo, Javier, Orbe, Susan · 2008 · advanced · statistics

    asset pricing · statistical inference

  26. 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

  27. Nonparametric Estimation of Large Spot Volatility Matrices for High-Frequency Financial Data

    Bu, R., Li, D., Linton, O. · 2022 · advanced · statistics

    statistics

  28. Nonparametric Estimation of Self- and Cross-Impact

    Natascha Hey, Eyal Neuman, Sturmius Tuschmann · 2025 · advanced · quantitative trading

    market microstructure · statistical inference

  29. 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

  30. Nonparametric Euler Equation Identi?cation and Estimation

    Escanciano, J C., Hoderlein, S., Lewbel, A. · 2020 · advanced · statistics

    asset pricing

  31. Nonparametric Euler Equation Identification andEstimation

    Juan Carlos Escanciano, Stefan Hoderlein, Arthur Lewbel · 2015 · advanced · statistics

    asset pricing · econometrics · statistics

  32. Nonparametric likelihood for volatility under high frequency data

    Lorenzo Camponovo, Yukitoshi Matsushita, Taisuke Otsu · 2015 · advanced · statistics

    statistical inference · statistics

  33. 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

  34. 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

  35. Nonparametric Option Pricing with Generalized Entropic Estimators

    Caio Almeida, Gustavo Freire, Rafael Azevedo · 2022 · advanced · options

    derivatives · mathematical finance · option pricing · statistics

  36. Nonparametric Predictive Regressions for Stock Return Prediction

    Cheng, T., Gao, J., Linton, O. · 2019 · advanced · time series

    econometrics · regression · statistics · time series

  37. Nonparametric Pricing and Hedging of Volatility Swaps in Stochastic Volatility Models

    Frido Rolloos · 2020 · advanced · options

    derivatives · option pricing · options hedging · volatility trading

  38. 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

  39. Norms Based on Generalized Expected-Shortfalls and Applications

    Shuyu Gong, Taizhong Hu, Zhenfeng Zou · 2025 · advanced · risk management

    optimization · risk management

  40. 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

  41. 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

  42. Not Risk Parity Funds

    Michael A. Mendelson · 2018 · beginner · risk management

    risk management

  43. Note on a Theoretical Justification for Approximations of Arithmetic Forwards

    Álvaro Romaniega · 2024 · advanced · fixed income

    interest rates

  44. Notes on Correlation Stress Tests

    Piotr Chmielowski · 2025 · advanced · risk management

    risk management · stress testing

  45. Notes on the SWIFT method based on Shannon Wavelets for Option Pricing

    Fabien Le Floc'h · 2020 · advanced · options

    numerical methods · option pricing

  46. Notes on the yield curve

    Martin, Ian, Ross, Steve · 2019 · advanced · fixed income

    fixed income · interest rates · term structure models

  47. Novel Risk Measures for Portfolio Optimization Using Equal-Correlation Portfolio Strategy

    Biswarup Chakraborty · 2025 · intermediate · portfolio management

    optimization · portfolio management · portfolio optimization · risk management

  48. 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

  49. NUFFT for the Fast COS Method

    Fabien LeFloc'h · 2025 · advanced · options

    numerical methods · option pricing

  50. Null-Validated Topological Signatures of Financial Market Dynamics

    Samuel W. Akingbade · 2026 · advanced · time series

    hypothesis testing · statistical inference · time series