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Quant finance research papers
9383 research papers selected for learning quantitative finance. Highlighted picks come first. Showing 351–400; page 8 of 188.
A New Way: Kronecker-Factored Approximate Curvature Deep Hedging and its Benefits
Tsogt-Ochir Enkhbayar · 2024 · advanced · machine learning
deep learning · machine learning · neural networks · optimization · risk management
A No Arbitrage Fractional Cointegration Analysis Of The Range Based Volatility
Eduardo Rossi, Paolo Santucci de Magistris · 2009 · advanced · time series
econometrics · time series
A No-Arbitrage Approach to Range-Based Estimation of Return Covariances and Correlations
Michael W. Brandt, Francis X. Diebold, April · advanced · time series
statistics
A Noise-Aware Quantum Algorithm for Credit Valuation Adjustments on Real Quantum Hardware
Guillem Borràs Espert, Francisco Gómez Casanova, Luis de Pedro Sánchez · 2026 · advanced · risk management
credit risk
A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning
Yang Liu, Yuhao Liu, Yunran Wei · 2026 · advanced · machine learning
bayesian statistics · machine learning · neural networks · optimization · reinforcement learning
A non-Gaussian option pricing model with skew
Lisa Borland, Jean‐Philippe Bouchaud · 2007 · advanced · options
mathematical finance · option pricing · partial differential equations
A non-parametric index of corporate governance in the banking industry: an application to Indian data
Gulati, Rachita, Kattumuri, Ruth, Kumar, Sunil · 2020 · intermediate · other
banking · corporate governance
A nonlinear structural model for volatility clustering
Gaunersdorfer, A., Hommes, C.H. · 2005 · intermediate · time series
time series
A nonparametric eigenvalue-regularized integrated covariance matrix estimator for asset return data
Lam, Clifford, Feng, Phoenix · 2018 · advanced · statistics
statistics
A nonparametric test for rough volatility
Carsten H. Chong, Viktor Todorov · 2024 · advanced · statistics
hypothesis testing · rough volatility · statistical inference · stochastic processes
A Nontrivial Upper Bound on the Out-of-Sample $R^2$ in Return Forecasting
Cheng Zhang · 2026 · intermediate · time series
statistics
A Note On 'Predicting Returns With Financial Ratios'
Ivo Welch, Amit Goyal · 2004 · advanced · time series
asset pricing · econometrics · time series
A note on a PDE approach to option pricing under xVA
Falko Baustian, Martin Fencl, Jan Pospíšil · 2021 · advanced · options
monte carlo simulation · numerical methods · option pricing · partial differential equations
A note on bequest preferences in utility maximisation for modern tontines
Thomas Bernhardt · 2025 · advanced · portfolio management
mathematical finance · optimization
A note on continuity and asymptotic consistency of measures of risk and variability
Niushan Gao, Foivos Xanthos · 2024 · advanced · risk management
risk management
A note on extremality and completeness in financial markets with infinitely many risky assets
Luciano Campi · 2004 · advanced · stochastic calculus
asset pricing · martingales · mathematical finance · measure theory · probability
A note on markets with semi-static trading strategies
Miklós Rásonyi · 2026 · advanced · stochastic calculus
derivatives · mathematical finance
A note on robust convex risk measures
Marcelo Righi, Fernanda Müller · 2024 · advanced · risk management
optimization
A Note on Subadditivity of Value at Risks (VaRs): A New Connection to Comonotonicity
Yuri Imamura, Takashi Kato · 2025 · intermediate · risk management
risk management
A note on the CAPM with endogenously consistent market returns
Andreas Krause · 2021 · intermediate · portfolio management
asset pricing · capm · financial economics
A note on the differences between European and international methodologies of banking regulation and supervision
Goodhart, C. A. E., Sato, Hideki · 2024 · intermediate · risk management
banking
A note on the Malliavin differentiability of the Heston volatility
Elisa Alòs, Christian-Olivier Ewald · 2005 · advanced · stochastic calculus
stochastic calculus · stochastic processes
A note on the option price and 'Mass at zero in the uncorrelated SABR model and implied volatility asymptotics'
Jaehyuk Choi, Lixin Wu · 2020 · advanced · options
numerical methods · option pricing · stochastic processes
A note on the sum-stability of exchange rate returns
Hans Dewachter, Geert Gielens · 1991 · advanced · statistics
extreme value theory · foreign exchange · hypothesis testing · monte carlo simulation · statistics
A note on two notions of arbitrage
Allouch, Nizar · 2001 · advanced · other
financial economics
A Novel Approach to Forecasting Financial Volatility with Gaussian Process Envelopes
Syed Ali Asad Rizvi, Stephen J. Roberts, Michael A. Osborne · 2017 · intermediate · time series
machine learning · regression · statistics · time series · volatility forecasting
A Novel approach to portfolio construction
T. Di Matteo, L. Riso, M. G. Zoia · 2026 · advanced · portfolio management
machine learning · portfolio management
A novel approach to quantify volatility prediction
Suchetana Sadhukhan, Shiv Manjaree Gopaliya, Pushpdant Jain · 2022 · intermediate · time series
regression · statistics · time series · volatility forecasting
A Novel Approach to Queue-Reactive Models: The Importance of Order Sizes
Hamza Bodor, Laurent Carlier · 2024 · advanced · quantitative trading
market microstructure · model calibration
A novel approach to trading strategy parameter optimization using double out-of-sample data and walk-forward techniques
Tomasz Mroziewicz, Robert Ślepaczuk · 2026 · intermediate · quantitative trading
cryptocurrencies · optimization
A Novel Decision Ensemble Framework: Customized Attention-BiLSTM and XGBoost for Speculative Stock Price Forecasting
Riaz Ud Din, Salman Ahmed, Saddam Hussain Khan · 2024 · advanced · machine learning
cryptocurrencies · deep learning · machine learning · neural networks · time series
A Novel Deep Reinforcement Learning Based Automated Stock Trading System Using Cascaded LSTM Networks
Jie Zou, Jiashu Lou, Baohua Wang · 2022 · advanced · quantitative trading
algorithmic trading · deep learning · neural networks · reinforcement learning · time series
A Novel Experts Advice Aggregation Framework Using Deep Reinforcement Learning for Portfolio Management
MohammadAmin Fazli, Mahdi Lashkari, Hamed Taherkhani · 2022 · advanced · portfolio management
deep learning · machine learning · neural networks · portfolio management · portfolio optimization · reinforcement learning
A novel k-generation propagation model for cyber risk and its application to cyber insurance
Na Ren, Xin Zhang · 2024 · advanced · risk management
contagion · insurance · probability
A Novel Loss Function for Deep Learning Based Daily Stock Trading System
Ruoyu Guo, Haochen Qiu, Xuelun Hou · 2025 · intermediate · machine learning
deep learning · financial machine learning · machine learning · time series
A novel portfolio construction strategy based on the core-periphery profile of stocks
Imran Ansari, Charu Sharma, Akshay Agrawal · 2024 · advanced · portfolio management
financial networks · optimization · portfolio optimization
A novel robust mixed integer linear programming model for index tracking problem under no rebalancing: heuristic optimization approach
Danial Ramezani, Mostafa Abouei Ardakan, Mohamadreza Dehghani Ahmadabad · 2026 · advanced · portfolio management
algorithms · optimization · portfolio management · portfolio optimization
A novel scaling approach for unbiased adjustment of risk estimators
Marcin Pitera, Thorsten Schmidt, Łukasz Stettner · 2023 · advanced · risk management
risk management
A Numerical Analysis of the Modified Kirk's Formula and Applications to Spread Option Pricing Approximations a numerical analysis of the modified kirk's formula and applications to spread option pricing approximations
Suren Harutyunyan, AdriÀ Masip BorrÀs · 2018 · intermediate · options
numerical methods · option pricing
A Numerical Approach to Pricing Exchange Options under Stochastic Volatility and Jump-Diffusion Dynamics
Len Patrick Dominic M. Garces, Gerald H. L. Cheang · 2021 · advanced · options
jump processes · numerical methods · option pricing · partial differential equations
A parallel monetary system based on the redeemable self-decaying money -- The ultimate hedge and safe haven of private wealth in the rising wave of over issuance of fiat and token money/stablecoin
Boliang Lin, Ruixi Lin · 2025 · intermediate · other
other
A Path Integral Approach for Time-Dependent Hamiltonians with Applications to Derivatives Pricing
Mark Stedman, Luca Capriotti · 2024 · advanced · fixed income
derivatives · interest rates · mathematical finance · option pricing · stochastic processes
A Penalty-Free Pipeline for Direct Quantum-Annealer Portfolio Optimization
Luis Lozano · 2026 · advanced · portfolio management
optimization · portfolio management · portfolio optimization
A Per-Component Diagnostic Protocol for Neural HJB-PIDE Solvers under Control-Dependent Lévy Jumps
R. Drissi · 2026 · advanced · machine learning
jump processes · numerical methods · partial differential equations
A performance measure of Zero-dollar Long/Short equally weighted portfolios
Monica Billio, Ludovic Calès, Dominique Guegan · 2010 · intermediate · portfolio management
portfolio management
A Perron-Frobenius comonotonic approximation for sums of lognormals
Chunle Huang · 2026 · advanced · risk management
linear algebra · risk management · tail risk
A Polynomial Optimization Approach to Constant Rebalanced Portfolio Selection
Takano, Y., Sotirov, R. · 2010 · advanced · portfolio management
optimization · portfolio optimization
A Portfolio's Common Causal Conditional Risk-neutral PDE
Alejandro Rodriguez Dominguez · 2024 · advanced · portfolio management
causal inference · copulas · mathematical finance · partial differential equations · portfolio management · risk management
A Portrait of Hedge Fund Investors: Flows, Performance and Smart Money
Baquero, G., Verbeek, M.J.C.M. · 2005 · intermediate · statistics
hedge funds
A posteriori error bounds for the Uncertain Volatility Model
Lokman A Abbas-Turki, Chassagneux Jean-Fran{\c c}ois, Jean-Philippe Lemor · 2026 · advanced · options
numerical methods · option pricing