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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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109218326435 · Jun 202019922001200920172026
48 results for wing numbers

In this final part of a 3-part paper we introduce the pair of "wings" of the abstract PL-colored complexes Hm\mathcal{H}_{m}^\star, described in the second paper. The wings, via a weight enhanced Tutte's barycentric embedding of a planar map, produce the unexpected reformutation of a 3-dimensionl problem into a 2-dimen…

2012-11-09abs ↗pdf ↗

We determine the distribution of size and growthrates of German business firms in 1987-1997. We find a log-normal size distribution. The distribution of growth rates has fat tails. It can be fitted to an exponential in a narrow central region and is dominated by finite-sample-size effects far in its wings. We study the…

2000-06-16abs ↗pdf ↗

We propose a multi-wing harmonium model for mining multimedia data that extends and improves on earlier models based on two-layer random fields, which capture bidirectional dependencies between hidden topic aspects and observed inputs. This model can be viewed as an undirected counterpart of the two-layer directed mode…

2012-07-04abs ↗pdf ↗

We consider implied volatilities in asset pricing models, where the discounted underlying is a strict local martingale under the pricing measure. Our main result gives an asymptotic expansion of the right wing of the implied volatility smile and shows that the strict local martingale property can be determined from thi…

2015-08-18abs ↗pdf ↗

New method predicts quasar continuum near Lyman-α with high precision and accuracy.

problem Precise measurement of quasar red damping wing for epoch of reionization.
method Fully probabilistic approach using conditional neural spline flows.
result Achieved state-of-the-art precision and accuracy in predicting quasar continua.

In the paper, we characterize the asymptotic behavior of the implied volatility of a basket call option at large and small strikes in a variety of settings with increasing generality. First, we obtain an asymptotic formula with an error bound for the left wing of the implied volatility, under the assumption that the dy…

2014-06-02abs ↗pdf ↗

Traditional anatomical analyses captured only a fraction of real phenomic information. Here, we apply deep learning to quantify total phenotypic similarity across 2468 butterfly photographs, covering 38 subspecies from the polymorphic mimicry complex of Heliconius erato\textit{Heliconius erato} and Heliconius melpomene\textit{Heliconius melpomene}. E…

2019-08-15abs ↗pdf ↗

Refining previously known estimates, we give large-strike asymptotics for the implied volatility of Merton's and Kou's jump diffusion models. They are deduced from call price approximations by transfer results of Gao and Lee. For the Merton model, we also analyse the density of the underlying and show that it features …

2014-01-09abs ↗pdf ↗

Second order Sobolev metrics are a useful tool in the shape analysis of curves. In this paper we combine these metrics with varifold-based inexact matching to explore a new strategy of computing geodesics between unparametrized curves. We describe the numerical method used for solving the inexact matching problem, appl…

2017-06-06abs ↗pdf ↗

We prove that the Lawson surface ξg,1ξ_{g,1} in Lawson's original notation, which has genus gg and can be viewed as a desingularization of two orthogonal great two-spheres in the round three-sphere S3{\mathbb{S}}^3, has index 2g+32g+3 and nullity 66 for any genus g2g\ge2. In particular ξg,1ξ_{g,1} has no exceptional Jacobi…

2019-04-11abs ↗pdf ↗

New Kähler solitons found that are not U(n)U(n)-invariant.

problem Whether every steady gradient Kähler-Ricci soliton of positive curvature on Cn\mathbb{C}^{n} is U(n)U(n)-invariant.
method Constructing a family of U(1)imesU(n1)U(1) imes U(n-1)-invariant, but not U(n)U(n)-invariant, steady gradient Kähler-Ricci solitons.
result Found a family of complete steady gradient Kähler-Ricci solitons with strictly positive curvature operator on Cn\mathbb{C}^{n} for n3n\geq3.

Given a tiling T\mathcal{T} of the plane by straight edge polygons, which is invariant by two independent translations, we construct a family of embedded triply periodic minimal surfaces which desingularizes T×R\mathcal{T}\times\mathbb{R}. For this purpose, inspired by the work of Martin Traizet, we open the nodes of s…

2010-02-25abs ↗pdf ↗

Resolves conjecture on cylindrical mean curvature flows in all dimensions.

problem Mean Convex Neighborhood Conjecture for cylindrical singularities.
method Complete classification of ancient, asymptotically cylindrical flows; refined asymptotic analysis; leading mode condition; induction over thresholds.
result Establishes mean-convex neighborhood for cylindrical singularities; provides local models and canonical families.

Structural optimization is a popular method for designing objects such as bridge trusses, airplane wings, and optical devices. Unfortunately, the quality of solutions depends heavily on how the problem is parameterized. In this paper, we propose using the implicit bias over functions induced by neural networks to impro…

2019-09-10abs ↗pdf ↗

In this work we show that 22-dimensional, simply connected, translating solitons of the mean curvature flow embedded in a slab of R3\mathbb{R}^3 with entropy strictly less than 33 must be mean convex and thus, thanks to a result by J. Spruck and L. Xiao, are convex. Recently, such 22-dimensional convex translating s…

2019-12-28abs ↗pdf ↗

Wind speed prediction improved using a novel deep ensemble learning model inspired by jet aerodynamics.

problem Accurate wind speed forecasting for renewable energy production.
method Proposes a novel Deep Ensemble Learning using Jet-like Architecture (DEL-Jet) to enhance robustness and generalization of a learning system.
result The DEL-Jet technique improves the robustness and generalization of the learning system, as shown by performance evaluations.

Paper proves conjecture about star-shaped curves evolving under GAPF, but not always preserves star shape.

problem What conditions guarantee global existence of Gage's area-preserving flow for nonconvex initial curves?
method Using Dittberner's singularity analysis theory, constructed a ``flying wing'' curve to show limitations.
result Gage's area-preserving flow does not always preserve star-shapedness of evolving curves.

Study examines implied volatility behavior in Bachelier model.

problem Characterizing implied volatility in Bachelier model for large strikes.
method Exploiting regular variation theory, derived explicit expressions for Bachelier implied volatility.
result Established a rigorous connection between characteristic function analyticity and volatility smile asymptotic slope.

Unified framework for inference in complex nonlinear processes.

problem Challenges in inferring nonlinear continuous stochastic processes with sparse observations and complex topologies.
method Neural Backward Filtering Forward Guiding (NBFFG) framework that constructs a variational posterior using a proxy linear-Gaussian process.
result Empirical results show NBFFG outperforms baselines on synthetic benchmarks and high-dimensional phylogenetic analysis tasks.

Study finds Twitter activity correlates with stock volatility but not sentiment.

problem Understanding the impact of social media on stock market dynamics.
method Collected and analyzed tweets from Twitter and Reddit, examining their sentiment and correlation with stock volatility.
result Twitter activity correlates with stock volatility but not sentiment.

Researchers create new triply periodic minimal surfaces by gluing saddle towers.

problem Creating triply periodic minimal surfaces without symmetry constraints.
method Gluing Karcher-Scherk saddle towers with phase differences and balancing under vertical interaction.
result Expands known triply periodic minimal surfaces into new 5-parameter families.

The credit crisis and the ongoing European sovereign debt crisis have highlighted the native form of credit risk, namely the counterparty risk. The related Credit Valuation Adjustment, (CVA), Debt Valuation Adjustment (DVA), Liquidity Valuation Adjustment (LVA) and Replacement Cost (RC) issues, jointly referred to in t…

2012-10-18abs ↗pdf ↗

Concept bottleneck models enable concept manipulation for model interpretation.

problem Training models to directly predict labels without intermediate concepts.
method Train models to predict intermediate concepts at training time, then use these concepts to predict labels.
result Concept bottleneck models achieve competitive accuracy with standard models while enabling concept manipulation.

This work combines autoencoder transfer learning with MSCP for accurate aerodynamic predictions.

problem Data scarcity in aerodynamic modeling limits the use of high-fidelity simulations.
method Autoencoder-based transfer learning with MSCP for uncertainty-aware data fusion.
result The model achieves high accuracy with minimal high-fidelity training data and robust uncertainty bands.

Derives token price process for AMM tokens, finds leverage effect and pricing discrepancies.

problem Derives token price process for AMM tokens.
method Derives CEV process for token price, derives closed-form option prices, introduces liquidity-adjusted Greeks.
result Token price process is CEV, with leverage effect and pricing discrepancies.

Quantum theory reinterprets financial pricing by focusing on observable price transitions.

problem Traditional financial models rely on latent variables; this paper proposes a new observable approach.
method Shift operators, spectral calculus, and Lindblad semigroups are used to define observable frequency operators and convolution generators.
result The framework leads to a nonlocal pricing equation that converges to classical Black-Scholes-Merton under small mesh limits.

We consider the fusion of two aerodynamic data sets originating from differing fidelity physical or computer experiments. We specifically address the fusion of: 1) noisy and in-complete fields from wind tunnel measurements and 2) deterministic but biased fields from numerical simulations. These two data sources are fus…

2019-11-02abs ↗pdf ↗

New method optimizes aircraft design with reduced computation using multi-fidelity models.

problem Efficiently solve complex aircraft design problems with limited computational resources.
method Proposes novel multi-fidelity selection strategies that consider both objective and constraint information.
result Shows 86%86\% to 200%200\% more constraint compliant solutions with a limited budget.

SMT-EX enhances SMT for explaining surrogate models of mixed-variable design problems.

problem Making decisions and understanding complex systems using surrogate models of mixed-variable design problems.
method Integrates explainability techniques into SMT, including Shapley Additive Explanations, Partial Dependence Plot, and Individual Conditional Expectations.
result Demonstrates versatility in addressing diverse problem characteristics.

Unified market making controls risk, arbitrage, and volatility surfaces.

problem Market making risk, arbitrage, and volatility surface consistency.
method Constrained RL and stochastic control for risk-sensitive execution and hedging.
result Agent achieves positive P&L with zero calendar and butterfly violations.

It is known that Heston's stochastic volatility model exhibits moment explosion, and that the critical moment s+s_+ can be obtained by solving (numerically) a simple equation. This yields a leading order expansion for the implied volatility at large strikes: σBS(k,T)2TΨ(s+1)×kσ_{BS}( k,T)^{2}T\sim Ψ(s_+-1) \times k (Roger Lee's moment…

2010-01-18abs ↗pdf ↗