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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.

168,742 papers · 148 categories

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155310465620 · Jun 202019922001200920172026
48 results for doubling time

Serverless cloud computing speeds up double machine learning model estimation.

problem Efficiently estimating double machine learning models with minimal cloud resource management.
method Serverless computing with AWS Lambda for repeated cross-fitting.
result Demonstrates significant reduction in estimation times and costs.

We consider the optimal double stopping time problem defined for each stopping time SS by $v(S)=\esssup\{E[ψ(τ_1, τ_2) | \F_S], τ_1, τ_2 \geq S \}$. Following the optimal one stopping time problem, we study the existence of optimal stopping times and give a method to compute them. The key point is the construction of …

2009-09-18abs ↗pdf ↗

Efficient semi-analytic methods for pricing double barrier options with time-dependent parameters.

problem Pricing and calibration of double barrier options with time-dependent parameters.
method Two approaches: General Integral transform method and Heat Potential method.
result Semi-analytic techniques are more efficient for pricing double barrier options than traditional numerical methods.

Defines braids with double lines for links in a surface times circle and connects it to the affine Hecke algebra.

problem Presenting links in a surface times circle using braids with double lines.
method Defines braids with double lines, proves Alexander and Markov theorems, and connects Hecke algebra to affine Hecke algebra.
result The Hecke algebra of braids with double lines is isomorphic to the affine Hecke algebra.

Extends double linear policy with time-varying weights and proves robust positive expectation.

problem Ensuring robustness in policy optimization with time-varying parameters.
method Employed a novel elementary symmetric polynomials characterization approach to prove robust positive expectation (RPE). Derived explicit expressions for expected cumulative gain-loss and variance.
result Proved the robust positive expectation property holds for the extended double linear policy.

Defines doubling conditions for Lorentzian spaces linked to curvature bounds.

problem Relating doubling conditions to curvature bounds in Lorentzian geometry.
method Defines doubling conditions using chronological diamonds and proves implications with timelike curvature bounds.
result Relates doubling to curvature bounds in Lorentzian geometry.

Efficient verified double auctions improve matching speed and detect errors.

problem Improving the efficiency and reliability of double auctions in financial markets.
method Formally verified implementation using Coq proof assistant, reducing time complexity and improving error detection.
result Improved efficiency with O(nlogn)O(n \log n) time complexity, reducing runtime from days to minutes.

Ancient caloric functions on manifolds with polynomial growth are studied under volume doubling barrier.

problem Analyzing ancient caloric functions on manifolds beyond volume doubling.
method Time polynomial structure result on ancient caloric functions with polynomial growth.
result Finiteness result for ancient caloric functions is essentially sharp, except for multi-end cases.

Space exploration technology advances exponentially, consistent with Moore's and Wright's laws.

problem Predicting the advancement of space exploration technology.
method Analysis of Moore's and Wright's laws applied to space exploration technology.
result Spacecraft technology advances exponentially, consistent with Moore's and Wright's laws.

Analyzing historical data of price indices we find an extraordinary growth phenomenon in several examples of hyper-inflation in which price changes are approximated nicely by double-exponential functions of time. In order to explain such behavior we introduce the general coarse-graining technique in physics, the Monte …

2001-12-24abs ↗pdf ↗

Study CMC hypersurfaces in H2imesH2\mathbb{H}^2 imes\mathbb{H}^2 with a specific symmetry.

problem Constant mean curvature hypersurfaces with double horocyclic symmetry in H2imesH2\mathbb{H}^2 imes\mathbb{H}^2.
method Reduction to a single ODE, solving explicitly, classifying solutions.
result Existence and uniqueness of double horocyclic CMC hypersurfaces.

We establish an hh-principle for exact Lagrangian immersions with transverse self-intersections and the minimal, or near-minimal number of double points. One corollary of our result is that any orientable closed 3-manifold admits an exact Lagrangian immersion into standard symplectic 6-space $\R^6_\st$ with exactly on…

2013-03-04abs ↗pdf ↗

We study optimal double stopping problems driven by a Brownian bridge. The objective is to maximize the expected spread between the payoffs achieved at the two stopping times. We study several cases where the solutions can be solved explicitly by strategies of threshold type.

2014-09-08abs ↗pdf ↗

Researchers describe how special conic bundles deform into double solids.

problem Understanding the versal deformation of conic bundles over 3CP23\mathbb{C}\mathbb{P}^2.
method Explicit description of deformation in a general context.
result Explicit description of the deformation of conic bundles into double solids.

We study the set of all closed oriented smooth 4-manifolds experimentally, according to a suitable complexity defined using Turaev's shadows. This complexity roughly measures how complicated the 2-skeleton of the 4-manifold is. We characterise here all the closed oriented 4-manifolds that have complexity at most one. T…

2018-03-18abs ↗pdf ↗

Study shows double and triple descent in unsupervised autoencoders, improving performance in various tasks.

problem Exploring the phenomenon of double descent in unsupervised learning.
method Analytical demonstration and extensive experiments on synthetic and real datasets.
result Over-parameterized unsupervised autoencoders exhibit double and triple descent, enhancing performance in downstream tasks.

Double descent risk in L2-regularized models explained and mitigated.

problem Risk of overparameterized models in machine learning.
method Analysis of L2-regularized models, two-layer neural networks, and CNNs.
result Double descent risk in L2-regularized models can be explained and mitigated by adjusting regularization strengths.

In this paper we study 1/k geodesics, those closed geodesics that minimize on all subintervals of length L/kL/k, where LL is the length of the geodesic. We develop new techniques to study the minimizing properties of these curves on doubled polygons, and demonstrate a sequence of doubled polygons whose closed geodesics…

2019-09-20abs ↗pdf ↗

CP-factorization for high-dimensional tensor time series and double projection iterations

problem Identifying and estimating factor loadings in CP decomposition for high-dimensional tensor time series
method One-pass estimation procedure using standard eigen-analysis for matrix constructed based on serial dependence
result Asymptotic properties established under general settings, adapt to sparsity, accommodates weak factors

We construct and study a family of double-periodic almost entire solutions of the maximal surface equation. The solutions are parameterized by a submanifold of 3×33\times 3-matrices (the so-called generating matrices). We show that the constructed solutions are either space-like or of mixed type with the light-cone type…

2009-03-07abs ↗pdf ↗

We construct branched double coverings by certain direct products of manifolds for connected sums of copies of sphere bundles over the 2-sphere. As an application we answer a question of Kotschick and Loeh up to dimension five. More precisely, we show that: (1) every simply connected, closed four-manifold admits a bran…

2012-10-04abs ↗pdf ↗

A new approach optimizes weights in DLP for better risk-adjusted performance.

problem Optimizing time-varying weights in Double Linear Policy (DLP) for better risk-adjusted performance.
method Stochastic Model Predictive Control (SMPC) framework to maximize risk-adjusted returns while enforcing constraints.
result Empirical results show improved risk-adjusted performance and drawdown control.

Paper extends Lévy models with memory to better price FX double barrier options.

problem Efficiently pricing double barrier options in complex FX models.
method Introduces regime-switching Lévy models with memory and a modified numerical method.
result New models and method improve accuracy of option pricing.

We study a phenomenological model for the continuous double auction, equivalent to two independent M/M/1M/M/1 queues. The continuous double auction defines a continuous-time random walk for trade prices. The conditions for ergodicity of the auction are derived and, as a consequence, three possible regimes in the behavior …

2013-05-13abs ↗pdf ↗

News might trigger jump arrivals in financial time series. The "bad" and "good" news seems to have distinct impact. In the research, a double exponential jump distribution is applied to model downward and upward jumps. Bayesian double exponential jump-diffusion model is proposed. Theorems stated in the paper enable est…

2014-04-08abs ↗pdf ↗

Estimates impulse response functions using machine learning in time series data.

problem Estimating causal effects of discrete treatments over time with flexible models.
method Double/debiased machine learning for nonparametric time series data.
result Consistent and asymptotically normal estimator for impulse response functions.

Study groups of order 64 and non-homeomorphic double Kodaira fibrations with same invariants.

problem Investigate finite quotients of braid groups and their quotients.
method Use algebraic and geometric methods to classify groups and construct fibrations.
result Prove that for groups of order 64, if not 32, then order is at least 64, and classify cases where equality holds.

In this paper, the survival function of waiting times between orders and the corresponding trades in a double-auction market is studied both by means of experiments and of empirical data. It turns out that, already at the level of order durations, the survival function cannot be represented by a single exponential, thu…

2006-08-28abs ↗pdf ↗

Study of generalized double Bruhat cells and their integrations.

problem Understanding and integrating generalized double Bruhat cells in Lie groups.
method Integrating Poisson groupoids to symplectic double groupoids, relating to fission spaces of irregular singularities.
result Explicit integrations of Poisson groupoids and Morita equivalence of double groupoids.

Path integral method calculates PDBS option prices with time-dependent parameters.

problem Pricing proportional double-barrier step options with time-dependent interest rates and volatilities.
method Path integral method applied to a quantum mechanical analogy of barrier options.
result Derivation of pricing kernel for PDBS options with time-dependent parameters.

A Klein surface is a surface with a dianalytic structure. A double of a Klein surface XX is a Klein surface YY such that there is a degree two morphism (of Klein surfaces) YXY\rightarrow X. There are many doubles of a given Klein surface and among them the so-called natural doubles which are: the complex double, the …

2014-04-03abs ↗pdf ↗

Study essential diagrams of knots in SgimesS1S_{g} imes S^{1} and their relation to virtual knots.

problem Understanding essential diagrams and their relation to virtual knots in SgimesS1S_{g} imes S^{1}.
method Analyzing knots with minimal double lines and embedding virtual knot theory.
result Virtual knot theory is embedded in the theory of knots in SgimesS1S_{g} imes S^{1}.

We define a general notion of abstract double Lie algebroid. We show (1) that the double Lie algebroid of a double Lie groupoid is a double Lie algebroid in this sense; (2) that the double cotangent constructed from Lie algebroid structures on a vector bundle A and its dual A* is a double Lie algebroid if and only if (…

1998-08-17abs ↗pdf ↗

Graphs with nonnegative Bakry-Émery curvature have volume doubling and Poincaré inequalities.

problem Proving properties of graphs with specific curvature conditions.
method Graph-theoretic modified nonlinear heat-flow method, including point-mass consequences and diffusive exit-time control.
result Volume doubling and Poincaré inequalities for graphs with nonnegative Bakry-Émery curvature.