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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Quantitative Finance
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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Human-Provenance Verification should be Treated as Labor Infrastructure in AI-Saturated Markets
As synthetic substitutes erode middle-tier knowledge work, governance must treat provenance verification as labor infrastructure to support
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When Agents Shop for You: Role Coherence in AI-Mediated Markets
Seller inference recovers budgets nearly one-for-one from natural-language profiles, and confidentiality instructions do not stop it.
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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.
Decomposing Wage Stagnation: Employment Reallocation, Wage Structure,and Demographics
Within-job growth was positive over decades but demographics, reallocation, and relative wage shifts offset it after the mid-1990s.
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Is Trend Still Your Friend?: A Microstructural Account of the Demise of Short-Term Trend-Following
The split by volatility-normalised tick size shows HFT liquidity withdrawal broke the impact loop that once sustained short-term trends.
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Liquidity Premium and Investment Horizons
Daily estimates of Kyle's lambda from equity order flow forecast returns and resolve Constantinides puzzle through temporary price depressio
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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.
The Economic Benefits and Costs of AI and Policies to Mitigate AI's Impact on Inequality
Substituted workers see absolute and relative declines, with policy responses varying by whether AI production is competitive or monopolisti
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Competitive effects of transmission constraints in the German electricity market
When transmission capacity is nearly exhausted, plants are more likely to deviate from competitive dispatch in ways suggesting strategic beh
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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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Shapley in Context: Explaining Financial Language with Domain Expertise
Attributions align with domain knowledge on financial text and reveal model behavior for regulatory use.
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Talking Politics with Artificial Intelligence
4.3 million conversations show 3.9% political content that spikes in stance and emotion after the 2024 election result among U.S. users.
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Biased forecasts reduce water values, increase early discharge, and produce sharper price peaks plus higher operating costs in Brazil's syst
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On liquid CME contracts, learned policies outperform equal weighting and momentum after transaction costs due to reduced trading.
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Night and Day: Diurnal Warming and Structural Transformation in India
Census analysis 1981-2011 finds nights shift workers into paid agricultural roles but days move them to seasonal work, cutting output in bot
Agent-to-Agent Finance: Blockchain Payments and Trust Infrastructure for Autonomous AI Agents
Agent-to-agent finance uses registries and verifiable settlement to handle machine-initiated transactions
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Competition and Anomalies Redux: Evidence from U.S. Auto Dealers
U.S. auto dealers choose wrong bonus contracts 20 percent of the time; rivalry lowers the rate mainly through changes inside existing dealer
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Settlement Manipulation in Prediction Markets
Five-minute Bitcoin markets show settlement spikes and reversals while fifteen-minute versions do not, confirming the model's horizon remedy
Real-time identification of the onset of financial rogue waves
Kerr-nonlinear Schrödinger model on volatility indices flags 7 of 8 major spikes in real-time tests across VIX, VXO and VSTOXX.
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Same Firms, Different Verdicts: ESG Rating Choice and the Measurement of Greenwashing
For 200 European firms, flagship status predicts larger disclosure-performance gaps with CDP scores but not LSEG, showing rating choice matt
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Signature-Based Optimal Execution for Statistical Arbitrage with Path-Dependent Trading Signals
Alpha and trading speed on the same truncated signature basis yield policies that beat z-score benchmarks on return on turnover.
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GAMLSS/ZAGA model of adjusted information ratios shows SVMP and buy-and-hold superiority depends on volatility and momentum levels.
Social Statements: A Proposal for a Social-Value Balance Sheet and Profit-Loss Statement
Numerical relationship indicators placed in accounting formats yield equity ratios and margins for social value.
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Generating Plausible Stress Scenarios via Large Deviations
The method finds the most probable risk factor setups behind big losses, recovering stressed loss laws where other generators produce no sam
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Translation Readiness Index: Measuring Patent-Paper Proximity from Scientific Publication Text
TRI uses title and abstract embeddings to estimate the chance a paper matches past patent-paired work, with external validation at multiple
Measuring Judgment Quality in Natural-Language Explanations: Evidence from Forecasting Tournaments
Sixty theory-guided patterns scored on 55,000 rationales outperform prior text methods and beat most skill indicators at the forecast level.
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The Organizational Behavior of Agentic AI: Collective Intelligence in Human-Agent Workflows
They differentiate work and coordinate interdependence through prompts and memory instead of identity or trust.
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Pareto optimal contracts with many policyholders and insurers across indemnity types reduce to one aggregate minimization problem.
Stocks that covary with real AI token growth outperform, with the premium extending to consumer sectors but absent in China.
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Standard fine-tuning makes retrieval depend on serialization order; PI-FT binds meaning to labels instead and works on a new 15-language ben
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Swimming in Dark Water: When Cartels Mimic Competition
Cost-based allocation under a formal convention allowed evasion of standard detection methods.
Bank Earnings, Credit Supply & the Macroeconomy: Evidence from Canada
Purged net-worth surprises from the six large banks reduce spreads and raise real activity over the medium run.
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Strategic Risk Reduction: Self-Protection and Self-Insurance
Tail Value-at-Risk instead creates non-convexity solved by marginal-balance isoquants in the same Bernoulli setting.
In tests with 24 rural users, internal coordination matched subsidies for investment under falling prices and low surplus pay.
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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Not-quite-human tastes: the stylized omnivorousness of LLM survey surrogates
Silicon samples from three model families inflate reports, erase correlations, and distort links to age, class, gender and race in arts data
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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
Heads, Not Backbones: Output Heads Dominate Architectures on Fat-Tailed Returns
Mixture heads improve CRPS by 3.7 points over backbones at short horizons in S&P 500 tests.
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Grounded personas match manager decisions on unseen holdings and give more specific advice than generic prompts.
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Closed-loop five-stage cycles and APM-CS scoring separate market outcomes from agent coherence, acuity, and discipline.
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The Bounce Has No Direction: Sign, Magnitude, and the Microstructure of Equity Return Predictability
A decomposition isolates magnitude shrinkage as the sole driver, matching bid-ask bounce rather than directional reversal.
Observed dynamic sublinear valuations allow explicit identification of latent models and nonparametric estimation from limited data.
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Sequential updates on evidence quality let the policy adjust delegation levels across changing AI regimes where fixed rules lose performance
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Bayesian Optimization on the Equilibrium Manifold
The low-dimensional parameterization lets the method locate optimal policies like carbon taxes with high-probability guarantees in heterogen
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Network-augmented signals from 10-K reports deliver 7.27 percent annual alpha after Fama-French five factors.
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When Summaries Distort Decisions: Information Fidelity in LLM-Compressed Financial Analysis
Even fluent and plausible compressions of filings and transcripts change the decisions supported by the originals.
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The Human-Machine Knowledge Spiral
The company's role stays the same: create shared context where human and machine knowledge convert and amplify each other.
Cascading Impacts of the USA--China Trade War on Global Oilseed Supply Chain
Model shows China hit hardest at 14%, but Brazil reallocation halves the worldwide damage to 1.36%
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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
Managing the Human Fallback: Skill Investment Under Improving AI and Worker Mobility
Firms shift from training the least-skilled to the most-skilled below the AI level when workers can switch jobs.
Survey of 760 nurses finds ethical climate and green transformational leadership increase eco-friendly behaviors, weakened when hypocrisy is
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Liquidity-Based Audit of Algorithmic Trading Strategies
Trade and price history recovers informed-trader versus market-maker distinction for linear strategies
Topping Up and Optimal Redistribution
The planner's nonlinear schedule loses power to target high-priority consumers when they have lower demand.
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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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How to deal with machine learning bias in economic history
A modest random set of expert labels removes systematic prediction errors that otherwise distort historical estimates.
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The method detects rough volatility and efficient versus persistent market states from single financial trajectories.
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Quality gains explain 45 percent of 2015-2024 share rise to 45 percent while learning effects drive half the welfare cost of removal.
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LLM Agents as Static Level-k Players in Behavioural Games
In beauty contests and public goods games, model scale sets the level but no round-by-round adjustment or last-round defection occurs.
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Probabilistic approaches lead for rigor, but fuzzy and evidence methods handle vagueness better in risk decisions.
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CryptoGAT: Are Time Series Models Effective for Cryptocurrency Forecasting?
By modeling cross-asset links as a graph instead of time sequences, it handles volatility that defeats standard temporal models.
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Measuring Racial Disparities in Rent Growth Under Algorithmic Landlord Concentration in U.S. Metros
Association reaches 5.9 points extra in majority-minority tracts across 665 census tracts after AHBI controls.
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An exact identity shows invariance to scale and (p-1) other directions, giving a sharper constant under heavy tails.
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
Insurers move from full cession to partial retention to full retention as the premium rises, collapsing the reinsurer's problem to a compact
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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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Economic complexity at subnational level: A consistency analysis
Product complexity estimates no longer vary with chosen geographical scale and track GDP per capita and employment more closely.
The Shift to Agentic AI: Evidence from Codex
Request complexity rose nearly tenfold and output tokens increased up to 50 times for researchers inside OpenAI.
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A sharp order-three obstruction to the aggregation of conditional price-of-risk attribution
A decomposition into stable premium and causal wedge fails to aggregate across three drivers even when every pair is admissible.
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Data-Driven Duration Management -- Term Structure Forecasting Using Machine Learning
Machine learning blends with factor models improve accuracy and trading returns for US and European government bonds.
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Robust Hedging Valuation Adjustment under Liquidity--Demand Stress
Robust HVA computes worst-case expected loss inside relative-entropy neighborhoods of simulated loss distributions under liquidity-demand st
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Portfolio Optimization for Commodity ETFs under Heavy-Tailed Returns
Minimum-risk and CVaR strategies outperform tangent portfolios on Sharpe and Calmar ratios for 30 ETFs, though tail risks persist.
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Too cheap to meter? A stochastic analysis of projected future fusion costs
Stochastic review of literature estimates finds mature MCF, ICF and MIF plants optimistic relative to fission benchmarks.
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The Growing Self-Reliance of Chinese Innovation
Share of China-produced science behind Chinese patents rose from 1% in 2000 to 26% in 2025, overtaking the U.S. share in 2021.
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.