Lean 4 verifies arbitrage-free markets admit martingale measures
The Fundamental Theorem of Asset Pricing, Formalized in Lean 4
Explicit minimization of a convex potential replaces Hahn-Banach in the multi-asset one-period case.
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Mathematical Finance
Mathematical and analytical methods of finance, including stochastic, probabilistic and functional analysis, algebraic, geometric and other methods
The Fundamental Theorem of Asset Pricing, Formalized in Lean 4
Explicit minimization of a convex potential replaces Hahn-Banach in the multi-asset one-period case.
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A Cap-Axis Integral Diagnostic of Factor Models
Lifting pricing errors along capitalization axis flags subspace violations even when Sharpe frontier improves
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Portfolio Optimization under Fast and Slow Latent Mean-Reverting and Momentum Drift
In two-scale latent factor models the filtered mean-reversion level reduces to fast-slow EMA difference plus Volterra term.
When large trades are not news: Liquidity tail risk and price discovery
Student-t uninformed demand keeps imbalances ambiguous, flattening impact and slowing price discovery from order flow.
Tail Risk Management with Puts and Trend Following: A CVaR Framework for Crashes and Drawdowns
A CVaR model shows immediate jump repricing from options versus lagged but sustained defense from trend signals, supporting hybrid mandates.
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Hidden Dependence and Aggregate Tail Risk
Small perturbations of the joint distribution that keep marginals fixed match the risk limits from full dependence uncertainty for gamma-tai
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Financial Resilience Evaluation: From Conditional Expectations to Dynamic Convex Risk Measures
When induced by a Lipschitz or quadratic BSDE driver, the evaluation of price increments equals the infimum over zero-penalty measures of an
Observed dynamic sublinear valuations allow explicit identification of latent models and nonparametric estimation from limited data.
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Comonotonic and moment matching approximations for sums of lognormal random variables
New methods based on weighted distributions are both comonotonic and moment-matching while outperforming classical versions in the right tai
Hedging Maturity-Specific Risk in Forward Curve Derivatives under Stochastic Volatility
Exact decomposition holds under infinite-rank stochastic volatility in the HJMM framework, with residual acting as volatility floor in enlar
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State-weight augmentation produces closed equations for expected signatures and recovers excitation parameters in the scalar case.
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Balancing Shareholder Value and Financial Stability under a Reduced-Form Liquidation Model
A distress zone spanning both sides of the ruin threshold improves shareholder payouts and firm longevity simultaneously, unlike single-side
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Optimal Deployment of Electric Aircraft for Canadian Domestic Flights
Model finds fleet capacity and schedules, not charging stations, limit how quickly the switch can occur without leaving demand unmet.
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The method detects rough volatility and efficient versus persistent market states from single financial trajectories.
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Valuing American options and Flexible Forwards contracts in time-dependent models
Spectral methods solve it in 1-2 seconds and reveal nonlinear variance dependence, outperforming finite differences by an order of magnitude
Pretrained Time-Series Foundation Models for Financial Return Forecasting
Tests on five U.S. stocks find foundation models reduce development cost yet deliver few statistically reliable gains over a naive benchmark
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Conditional Leibniz Derivative Estimation with an Application to American Call Min-Options
The resulting estimator avoids dimension-dependent variance growth while remaining unbiased for discontinuous payoffs such as American call
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Geometrically convex return risk measures on AM-algebras
The move produces systemic and vector-valued versions with finiteness, continuity, and dual representations for multidimensional payoffs.
Equilibrium singular dividend control under ambiguity aggregation of heterogeneous discount rates
Singular dividend control with heterogeneous discount rates admits unique time-homogeneous solutions for linear and exponential aggregators
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Path Space Robust Bayesian Portfolio Selection
The price of robustness is half the variance of the non-robust investor's loss
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Monotonicity of Normalized Implied-Volatility Coordinates under No-Arbitrage
Elementary proof using convexity and put-call parity shows the normalized coordinate decreases with strike for both lognormal and normal cas
Gradient flow method shows nonextensive systems equilibrate slower than Shannon entropy cases, allowing extended predictions.
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Steady-state spectrum forms a frequency comb only inside specific ranges of saving, investment cost and demand elasticity parameters.
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Path-dependent Affine Processes
Generalized Riccati equations give closed-form transforms for path-dependent SDEs, covering delayed Heston models.
Pareto Optimal Centralized Risk Sharing with Multiple Agents: Inclusivity and Fairness
Inclusive and fair Pareto optimality equates to balanced sequential optimization and lies between Geoffrion-proper and classical versions.
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Enhancing the Black-Scholes Model for Option Valuation via L\'evy Processes and Malliavin Calculus
Adding jumps via Lévy processes and deriving exact implied volatility with Malliavin calculus reproduces observed market volatility features
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Innovative Extensions to Option Pricing: Asymmetric Brownian Motion and Random Walk Approaches
Local time at the origin generates the asymmetry inside the classical Bachelier-Black-Scholes-Merton setting and yields convergent binomial
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A control model shows the best fee is a pointwise function of variance, independent of wealth and risk aversion, and improves growth over st
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The Mathematics of Modeling the Future
Connecting filtrations to generators produces dynamically consistent future laws constrained by information and geometry.
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Trends, Volatility, Correlations, and Critical Phenomena in Financial Markets
Quadratic polynomials of trend strength refine risk forecasts and support lattice gas models near criticality
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Fitting Accumulated Stock Returns with Tempered Skew t-Distribution
The model captures symmetry breaking between gains and losses plus near-linear scaling of means and variances with accumulation days.
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Collective completeness and pricing-hedging duality II
When risk exchanges form a finitely generated convex cone, this yields extensions of the collective fundamental theorems and equates strong
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Optimal Consumption and Retirement Time under Shortfall Risk Measure
The transformed problem yields an explicit retirement boundary and shows more conservative investment after retirement.
A Machine-Checked It\^o Calculus for Brownian Motion
The first machine-checked version reaches the pathwise form on the half-line and includes Itô's formula for C3 functions.
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Optimal exit strategies of CPT gamblers in unfair gambles
Infinite-horizon problems admit explicit solutions showing reduced loss tolerance and zero participation when games are bad enough.
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On regularity of finite-maturity American put options in the Heston model
PDE analysis proves smooth-fit holds inside the exercise region for finite-maturity contracts
Weighted universal approximation of differentiable maps on infinite-dimensional manifolds
Functional neural networks can now approximate both maps and their derivatives for non-anticipative functionals on weighted infinite-dimensi
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Option prices from operational-time reaction-boundary lattices
Backward equation from nearest-neighbour log-price Markov lattice recovers Black-Scholes-Merton under risk-neutral drift while separating un
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Return signals stay weak except in calm periods, and only filtered strategies beat costs.
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Mid-quotes move linearly with inventory while the spread splits into inventory and adverse-selection parts.
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Proof of Stake economy under centralized exchanges--a mean field model
Mean-field model shows market incentives raise participation and flatten stake concentration.
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Markets Are Not Random, They Are Hard to Predict
Hidden causes, strategic use, and capacity limits raise forecast costs without requiring ontic chance.
Bubbles vs. Baselines: Token Valuation and Institutional Capital in PoS Networks under EIP-1559
PoS token valuation anchors to network usage and removes institutional yield premium under EIP-1559 fee burn.
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Boundary behaviour of the Volterra square-root process
The resulting atom at the boundary restricts equivalent martingale measures in the Volterra Heston model to cases with very special drift.
Fast-excursion limit of the Heston model
The resulting paths leave vanilla prices unchanged yet raise one-month barrier hits by roughly 10 percent.
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Competition in Dealer Markets with Internalisation and Externalisation
Equilibrium competition raises hedging costs for dealers and client transaction costs.
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Derivative-Informed Operator Learning for Finance: On-the-Fly Greeks, Surfaces, Hedging, and Control
Matching Fréchet derivatives alongside prices improves hedging accuracy and reduces optimizer instability across standard models
Stress Amplified Resilience: ESG and Joint Fragility in Equity Markets
One-standard-deviation higher ESG score lowers severe joint fragility odds during market stress, via return, volatility, and liquidity chann
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Infinite Horizon Optimal Consumption: Intertemporal Hedging under Epstein-Zin Preferences
Verification theorem supplies feedback rules for consumption and investment under Epstein-Zin preferences in incomplete markets.
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Review of valuations finds revenue growth and adoption provide support but flags faster capex and concentrated holdings as fragilities.
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The running penalty must satisfy φ = γ σ² / 2, turning two free parameters into a single scalar with an immediate calibration cross-check.
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A Formally Verified Library of Mathematical Finance in Lean 4
Over 200 theorems are machine-checked with explicit classification of how each matches classical statements and which axioms it uses.
Inspectable Neural Markov Models for Non-Stationary Time Series
Neural parameterization of transition matrices yields more consistent chains and better held-out likelihood in 9 of 10 assets when states us
Option Pricing under Stochastic Volatility and Jumps:A PIDE Framework with Empirical Evidence
Jumps add only small accuracy gains for short maturities and deep out-of-the-money options after GMM calibration
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Bayesian blending of market equilibrium and investor views reduces concentration and improves stability in tests on ten U.S. stocks.
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Three-Currency HJM for Brazilian Credit Markets
Three-currency model says nominal and inflation credit spreads differ only by breakeven inflation, yet same-issuer data show stable residual
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Deep Learning Forecasting of the U.S. Aggregate Bond Index
Fractionally differenced series lets MLPs beat persistence benchmarks while CNN image encodings fail on every version.
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Heston-Bates-CIR calibration to equity options and Euribor shows continuous volatility controls short horizons while stochastic rates affect
Regime-Based Portfolio Allocation Using Hidden Markov Models and Reinforcement Learning
Three-asset strategy using low-vol, transitional and high-vol states beats passive benchmark out of sample while remaining interpretable.
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Review shows asset pricing selects measures via discounting, numeraire changes, and utility weights rather than real-world odds.
Mean-field game of mean-variance portfolio management with peer-based relative risk aversion
Smooth regularization of the piecewise risk-aversion function yields a limit equilibrium satisfying the discontinuous FBSDE consistency cond
Valuation of Variable Annuities with Equity Protection Swaps under Jumps and Default Risks
Default risk produces residual losses that force explicit adjustments to initial premiums in both Black-Scholes and jump settings.
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One Currency, Two Forward Prices: The Onshore-Offshore Renminbi Puzzle
Model with random liquidity stress matches observed CNY-CNH forward prices while keeping spot prices aligned.
Entropy-Regularized Certainty-Equivalent Bellman Policies for Risk-Sensitive Market Making
The operator regularizes certainty-equivalent scores and achieves O(h + λ log λ) uniform convergence to the continuous-time optimum.
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Explicit Signal-Adaptive Sequential Optimal Execution Quotes
Four criteria reduce to closed-form value functions and signal-adaptive strategies for sequential quoting.
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From Arbitrage Removal to Density Extraction: A Model-Free Framework for Short-Dated Options
ARIES cleans bid-ask quotes first; SEDEx then recovers risk-neutral densities even hours before expiry without a pricing model.
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An optimal transport foundation for a class of dynamically consistent risk measures
Linear scaling yields drift corrections while martingale constraints produce volatility adjustments in consistent dynamic evaluations.
Designing On-Chain Options: Amortizing Perpetual Options
Contract design creates on-chain primitives for collateralization and de-peg insurance under blockchain limits.
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SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate
Sequential Monte Carlo reweighting corrects observation-guided diffusion sampling without training or approximation.
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Asymptotic Behaviour of Unexpected Losses and Risk Ratios for Co-Monotonic Alternatives
Equivalence holds for monotone cash-additive measures under weak law and integrability, clarifying when diversification shrinks capital Buff
Robust Volatility Index Calculation with OTM Option-implied Probability
Fewer parameters keep the volatility index stable when most strikes lack trading activity.
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Summability and exponential-integrability conditions deliver martingale pricing, finite-depth completeness, and explicit hedging-error bound
Clearing in Liability Networks via Sheaves on Directed Hypergraphs
Sheaf on directed hypergraphs frames clearing as finite-limit equalizer and preserves solutions across payment categories via functoriality
Market Makers and Risk Aversion: A Hamiltonian Approach to the Excess Volatility Puzzle
Hamiltonian model shows unpredictable changes arise from internal oscillator coupling without needing external shocks.
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Enhancing a Risk Model by Adding Transient Statistical Factors
Maximum likelihood estimation on historical data captures missed structure in US equity returns for covariance modeling.
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Yield Curves Dynamics Using Variational Autoencoders Under No-arbitrage
A two-stage model extracts heavy-tailed manifolds and enforces no-arbitrage PDE penalties on latent dynamics, sidestepping HJM violations ac
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Forward CRRA utilities yield explicit policies balancing sustainability and adequacy amid population aging and market risks.
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Nonlinear filtering with stochastic discontinuities
Kushner-Stratonovich and Zakai equations are derived for signals and observations that jump at known times, covering clinical visits and div
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In the geometric model with price and solvency processes, small changes to S keep maximal expected terminal utility close and strategies are
Optimal Control of the Ethena Yield-Bearing Stablecoin
The model shows how the rate of building the delta-neutral carry trade balances staking rewards and funding income against permanent basis-n
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