Mathematical Finance

Papers
(The median citation count of Mathematical Finance is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-09-01 to 2025-09-01.)
ArticleCitations
Hedging of Fixing Exposure99
Issue Information39
Joint calibration to SPX and VIX options with signature‐based models25
A machine learning approach to portfolio pricing and risk management for high‐dimensional problems25
Weak equilibria for time‐inconsistent control: With applications to investment‐withdrawal decisions19
Long‐term risk with stochastic interest rates19
18
Put–Call Parities, absence of arbitrage opportunities, and nonlinear pricing rules16
Do investors gain by selling the tails of return distributions?15
A Leland model for delta hedging in central risk books14
Robust distortion risk measures12
Continuous‐time stochastic gradient descent for optimizing over the stationary distribution of stochastic differential equations12
Recent advances in reinforcement learning in finance11
Learning equilibrium mean‐variance strategy11
Spanning Multi‐Asset Payoffs With ReLUs11
Risk concentration and the mean‐expected shortfall criterion10
When does portfolio compression reduce systemic risk?9
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Correction to “Neural Optimal Stopping Boundary”9
Trading under the proof‐of‐stake protocol – A continuous‐time control approach9
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Mean–variance hedging of contingent claims with random maturity9
9
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Algorithmic market making in dealer markets with hedging and market impact7
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Consistent estimation for fractional stochastic volatility model under high‐frequency asymptotics7
Optimal Liquidation With Signals: The General Propagator Case6
Equilibria of time‐inconsistent stopping for one‐dimensional diffusion processes6
A mean‐field game approach to equilibrium pricing in solar renewable energy certificate markets6
Noncausal affine processes with applications to derivative pricing6
Expected median of a shifted Brownian motion: Theory and calculations6
Volatility Models in Practice: Rough, Path‐Dependent, or Markovian?6
Deep empirical risk minimization in finance: Looking into the future5
Issue Information5
Preference robust distortion risk measure and its application5
Optimal dividend payout under stochastic discounting5
Optimal investment with correlated stochastic volatility factors5
Clustering heterogeneous financial networks5
Pro‐cyclicality beyond business cycle4
Special issue on machine learning in finance4
4
Polar Coordinates for the 3/2 Stochastic Volatility Model4
Fairness principles for insurance contracts in the presence of default risk4
A general approximation method for optimal stopping and random delay4
Improving reinforcement learning algorithms: Towards optimal learning rate policies4
Model‐free portfolio theory: A rough path approach3
Issue Information3
In memoriam: Marco Avellaneda (1955–2022)3
Marco Avellaneda: Mathematician and trader3
Systemic risk in markets with multiple central counterparties3
Estimating volatility in the Merton model: The KMV estimate is not maximum likelihood3
Issue Information3
Editorial: Special Issue for the 11th World Congress of the Bachelier Finance Society3
The fundamental theorem of asset pricing with and without transaction costs3
Portfolio liquidation games with self‐exciting order flow3
Optimal Contracts for Delegated Order Execution3
Towards multi‐agent reinforcement learning‐driven over‐the‐counter market simulations3
Designing stablecoins3
Almost strong equilibria for time‐inconsistent stopping problems under finite horizon in continuous time3
Optimal measure preserving derivatives revisited3
Credit risk pricing in a consumption‐based equilibrium framework with incomplete accounting information3
Rough PDEs for Local Stochastic Volatility Models2
Deep order flow imbalance: Extracting alpha at multiple horizons from the limit order book2
Sig‐Wasserstein GANs for conditional time series generation2
Risk Budgeting portfolios: Existence and computation2
Time‐inconsistent contract theory2
Naïve Markowitz policies2
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Corporate debt value under transition scenario uncertainty2
Designing universal causal deep learning models: The geometric (Hyper)transformer2
Pathwise CVA regressions with oversimulated defaults2
Equilibrium investment with random risk aversion2
Distortion risk measures: Prudence, coherence, and the expected shortfall2
Issue Information2
Reinforcement learning with dynamic convex risk measures2
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