Boundary correction yields unbiased Greeks for barrier options
The formula removes smoothing bias and reduces variance by orders of magnitude, tested on Heston and Hull-White models.
Quantitative Finance
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The formula removes smoothing bias and reduces variance by orders of magnitude, tested on Heston and Hull-White models.
Backtests on ETFs, momentum deciles, and sector funds show consistent but often insignificant improvements; ICA-based ERC has higher…
· “Entropic Value-at-Risk parity for tempered stable returns”
A Bayesian change-point filter and queue-aware exposure signal prevent inventory saturation under regime-switching order flow.
· “Deep Learning of Robust Market Making under Regime-Switching Order Flow”
First rigorous proof under mild conditions settles Bergomi's conjecture using Watanabe expansion.
· “Short-maturity skew stickiness ratio under local volatility”
Joint-extreme weighting wins for both tails across three S&P 100 sectors.
· “Market-Informed Networks for Modeling and Forecast Evaluation of Financial Extremes”
dexamine converts transaction logs into token amounts, pool state, and execution metadata for empirical research.
· “dexamine: A Python package for Uniswap event data on Ethereum”
Dedicated elective facilities in England increase output per physician pound, with larger gains from standalone and multiple hubs.
· “High Volume Low Complexity Surgical Hubs in England: Can They Improve Physician Productivity?”
Analysis of 1.6M firms reveals a few hubs dominate; targeted shocks could spread fast through the economy.
· “Italian Business-to-Business Invoicing Data: A Network Analysis”
Lab experiment confirms: senders exaggerate more under conflict of interest, receivers discount more — net persuasion only when bias is low.
Almost all wind had an incentive to stop at deeply negative prices; only half did. The public bill: about €2.5 billion.
Four-attack benchmark on 400,000 loans shows robustness transfers within gradient methods but not beyond; mix your threats.
基于日本面板数据的证据表明,收缩导致行业从小城市消失并集中到东京,驱动迁移溢价,并且在变得太小之前预报了哪些地点应该被保留。
Real-time, non-mandatory warnings also prompt doctors to proactively avoid harmful drug pairs.
Expert-first inflates volatility with drift dispersion; candidate-first picks a Hessian-corrected barycenter covariance.
· “Geometric and Arithmetic Likelihood Aggregation for Diffusions with Heterogeneous Volatility”
Under small intermittency, the Log S-fBM model yields a normal test statistic whose power against nonzero Hurst exponent is expressed in…
A respected economist argues that both mainstream and contrarian reports lack formal tradeoff analysis needed for credible policy.
· “Credible Discourse on Climate Policy: Beyond Dueling Certitudes”
A literature review finds mixed welfare effects and one giant blind spot: BNPL loans rarely reach credit bureaus.
· “Buy Now, Pay Later: Academic Insights and Open Policy Questions”
Two shared markers made a group get rule-following treatment; one marker left it lumped with outsiders.
· “Going Beyond the In-/Out-Group Dichotomy: Investigating Altruism towards Middle-Groups”
A paper proves that when the volatility smile depends only on moneyness, the variance swap price is insensitive to underlying moves, and…
Even with zero construction cost, most SMRs cannot pay back within their lifetime due to hourly losses from high marginal costs.
· “The consequences of high SMR operating costs in electricity markets”
New evidence from 2020 Europe: bans reduce max drawdowns by 3 percentage points but widen spreads by 13 basis points, with the trade-off…
Switching units shifts the forward-entropy objective by a constant; the reverse rule can split the price of one claim.
· “Numeraire Invariance of Entropy-Projected Martingale Measures”
AlphaRJM wins 10 of 12 metric comparisons by retaining evaluation history across formula episodes.
· “AlphaRJM: Reward-Jump Memory for Stochastic Return-Guided Alpha Discovery”
Kernel regularization yields strategies whose gains and errors approach the variance-optimal limit in the original market.
· “Variance-Optimal Hedging in the Rough Hawkes--Heston Model”
Small firms benefit most from external AI research partnerships, raising labour productivity by up to 1.9% per percentage point of device…
· “AI Innovation and Firm Performance in the Medical Device Industry”
Correcting the estimand raises the Gini from 0.7 to 0.88 and shows the Pareto exponent argument fails at the model's calibration.
· “Self-Fulfilling Prophecies, Quasi Nonergodicity, and Wealth Inequality: A Comment”
A model of the Texas grid shows why new power plants cannibalize their own revenue, so investment stalls as AI load grows.
Nyström with 32 landmarks replicates ranking accuracy while cutting computation from O(N²) to O(N)
· “Nystr\"om Attention Matches Full Attention for Cross-Sectional Stock Prediction”
On 5,135 pro maps, a minimal logistic forecaster matches a heavy rival and stays within noise of Polymarket.
· “Pre-game paired-comparison modeling of professional League of Legends map outcomes”
Duration-aware changepoint detection improves NASDAQ order-flow forecasts; multivariate BOCPDMS falls short.
Five institutional conditions had to converge before a term structure of interest rates could be observed.
· “Historical Reflections on Interest Rates and the Emergence of the Yield Curve”
Volatility targeting plus a small Markowitz optimizer lifts Sharpe from 0.56 to 1.08 over 2006–2026, net of costs.
The ratios flag the coin-price crash that would trigger mass liquidations or defaulted deposits, day by day.
Even small processing noise unravels full disclosure and creates two distinct equilibria with opposite comparative statics
Eight models, 3,600 trials: models spot the hazard, then talk themselves out of escalating — with no instruction to ignore risk.
· “The Profit Alignment Problem: How Profit Mandates Induce Alignment Failures in LLMs”
Sub-$1B cyber kittens fit a power law, giving insurers a way to estimate events 100 times larger than MOVEit.
An incentivized lottery experiment finds no evidence that a live AI advisor shifts risk-taking beyond its advice.
· “Access to Live AI Advice and Behavior Under Risk: An Incentivized Experiment”
Existence, uniqueness, stability and W∞-convergence of the fixed-point iteration for general marginals under the absolute continuity of q.
· “Fixed Points for the q-Bass Martingale: Existence, Stability, and Convergence”
A probability-wave model from quantum mechanics explains collective decision patterns better than rational-agent theory.
· “Adaptive Entangled Game Modules in Artificial General Intelligence”
A non-recursive robust filter handles infinite-variance microstructure noise and yields reliable 1-second volatility estimates.
· “Filtering without recursion and some of its uses in financial economics”
Semi-closed formulas for geometric Asian options and variance-optimal hedges via a measure-valued affine transform.
· “Pricing and Hedging of Discretely Monitored Asian Options in the Volterra-Heston Model”
A new identity decomposes betting margins into hold, shading, and outcome covariance; tested on 1,139 MLB games with surprising null…
· “The profit-bias identity in sports betting: bookmaker profit as the public's prediction error”
A new asymmetric GARCH model decomposes volatility asymmetry into level and memory channels, finding the level channel dominates…
· “Asymmetric Long-Memory GARCH: Sign-Dependent Kernel Injection in a Two-Dimensional Markov Chain”
Null correlation between dwelling-value growth and commuting change suggests remote work decoupled relocation from daily travel.
The same primal-dual structure prices scarce resources, couples distributions, and recovers preferences from data.
Fixing the evaluation date and ranging over past purchase dates puts crossings and entry-date sensitivity on one graph
· “From Discrete Trailing Returns to a Continuous Graphical Profile: Return-to-Present Curves”
Optimal harvesting model reveals a threshold growth rate where compound interest always wins for faster stocks.
It outperforms Taylor-based and maximal-variance approximations on extreme-tail risk measures when volatility is high.
· “A Perron-Frobenius comonotonic approximation for sums of lognormals”
A parsimonious one-lag nonlinear model, derived from SHAP, captures the dynamics of returns and order flow.
Flood-born collectivism, exam-tested elites, and state capability: one story that challenges development orthodoxy.
A factor model using noise-trading flows explains expected stock returns as well as machine learning.
Six studies show people submit more of their own ideas than others', and the extras are worse—even when told about the bias.
· “Creators Have Difficulty Abandoning Ideas They Generated”
The standard Heston model itself refutes the claim that local volatility minimizes convex variance payoffs.
A review of equity and crypto evidence through 2026 finds technical progress but no sustainable, cost-aware returns.
Coupling trades across contracts and days keeps cost convex as liquidity shifts, so spread legs net their impact.
A three-parameter quantum circuit reproduces anti-persistence and multifractality without a pre-specified model.
Under complete dependence uncertainty, robust portfolio selection for VaR, ES, RVaR, and often standard deviation is optimized by…
· “Portfolio Diversification and Concentration under Dependence Uncertainty: A Majorization Approach”
When the loss already reweights the minority class, the Neyman-optimal split between positive and negative strata depends only on…
· “Optimal Stratified Allocation for Rare-Event Onset Forecasting in Dependent Sequences”
While local and global calibrations are equivalent, stitched laws miss multi-period risk; a new algorithm exposes the trade-off.
· “Global Multi-Maturity SPX-VIX Calibration Beyond Markovian Stitching”
Same-cycle settlement times optimized curvature decides when the multiplier hits unit gain; latency sets the deadline.
FinRAG-QA tests 999 cross-bank questions on 10 indicators; optimized pipeline beats baselines by over 30 percentage points.
· “Enhancing Financial Question Answering: A Novel Benchmark Dataset of Banks' financial statements”
A Fermi-Dirac entropy rule beat least squares through the COVID crash, with far lower turnover.
· “An Entropic Factor Model for Robust Portfolio Replication”
In a mean-field model, when agents fully account for collective impact, the observed price reduces to a martingale, reconciling…
· “Mean-field equilibrium of heterogeneous agents under market impact”
On a 4.5-million-row motor portfolio, TabM converts data into lower loss; transformer size alone adds little.
· “Scaling Laws, Tabular Data and Actuarial Ratemaking Models”
Arbitrage profit from betting against model probabilities grows with logical complexity and irrelevant context
When identities are cheap to reset, the value of betrayal can outgrow the value of honesty.
· “Tempting the Agent: The Economics of Reputation without Persistent Identity in AI Agent Markets”
GP-based preference elicitation combined with multi-objective RL captures how European and Texas investors trade off returns against…
· “Eliciting ESG Preferences for Reinforcement Learning-Based Portfolio Optimization”
The GA-ACD model outperforms standard models across seven major currency pairs by explicitly modeling heaping.
· “Modeling Trade Durations under Temporal Granularity Effects in Forex Markets”
Three LLM populations fail to reach equilibrium; efficiency peaks at 91%, well below human benchmarks
Projected intervals beat local approximation when eigenvalue collisions make delta methods unreliable
· “Uniform Inference and Certified Capacity at a Reflexive Stability Boundary”
The core discovery is that under Assumption 3 (regularly varying tail of the execution-weighted residence scale R = κ/σ with index θ), the…
· “Switching Frictions, Heterogeneous Trading Horizons, and Long-Memory Order Flow”
Applying a concave law after a power-law kernel is always safe; before it, only linear laws avoid price manipulation.
Global viscosity supersolutions for the Lévy-jump obstacle problem exist only when local drift exceeds a jump-intensity threshold…
· “Viscosity Supersolution Barriers to a Non-local Free Boundary Problem”
A conditionally elicitable actor-critic RL agent reduces tail risk at 2–6 months for basket options, while static risk increases.
· “Insights on Time-consistent Deep Hedging under Elicitable Dynamic Risk Measures”
Targeted cash transfers using machine learning could reduce world poverty to 1% for a fraction of universal basic income cost.
Deterministic recursion with piecewise-cubic representation converges to Heston–CIR++ model, handles non-recombining fund
· “Adaptive singular-point method for pricing and hedging surrenderable equity-linked contracts”
A unified analysis positions AI as capital, synthetic labor, human capital, infrastructure, and more, explaining its broad impact on…
· “AI and the Economy: An Economic Examination of Production, Distribution, Firms, Labor, and Welfare”
A 25-year backtest of short-put option writing on 39 nuclear-related stocks reports a Sharpe ratio of 7.8 and zero losing months, but the…
Pricing all n alternatives in one shared-field pass beats the standard GHK simulator's per-alternative cost.
A new Illiquidity-at-Risk metric shows continuous models underestimate extreme dry-ups, and jump models correct the bias.