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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.

168,657 papers · 148 categories

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102204305407 · Jun 202019922001200920172026
48 results for mesoscopic almost linearity

We derive a mesoscopic description of the behavior of a simple financial market where the agents can create their own portfolio between two investment alternatives: a stock and a bond. The model is derived starting from the Levy-Levy-Solomon microscopic model (Econ. Lett., 45, (1994), 103--111) using the methods of kin…

2010-09-14abs ↗pdf ↗

The paper identifies a mesoscopic market structure and uses it to improve portfolio optimization.

problem The optimal mean-variance allocation differs from the heuristic equally-weighted portfolio.
method Clustering techniques from Random Matrix Theory (RMT) to study mesoscopic market structure.
result A new wealth allocation scheme that attaches equal importance to stocks in the same community improves portfolio reliability.

Graph Cascades rewire graphs to improve structure-aware learning.

problem Improving graph neural networks and transformers for structure-aware learning.
method Graph Cascades uses contagion-based diffusion processes to construct an auxiliary graph with reinforced edges.
result Graph Cascades improves node-classification benchmarks across various graph types.

A master equation approach to the numerical solution of option pricing models is developed. The basic idea of the approach is to consider the Black--Scholes equation as the macroscopic equation of an underlying mesoscopic stochastic option price variable. The dynamics of the latter is constructed and formulated in term…

2002-09-23abs ↗pdf ↗

To understand how rich dynamics emerge in neural populations, we require models exhibiting a wide range of activity patterns while remaining interpretable in terms of connectivity and single-neuron dynamics. However, it has been challenging to fit such mechanistic spiking networks at the single neuron scale to empirica…

2019-10-03abs ↗pdf ↗

The paper develops a new model for order book dynamics using Hawkes processes.

problem Capturing the dynamics of order flow and liquidity migration in financial markets.
method Develops a mesoscopic model using Hawkes processes to describe interactions between order arrivals, cancellations, and liquidity movement.
result Derives a diffusive limit for the order book dynamics, providing a unified framework for market microstructure.

New method uncovers hidden groups in CDS market not tied to standard industry classifications.

problem Identifying hidden groups in CDS market not tied to standard industry classifications.
method Data-driven approach using Random Matrix Theory to identify internally correlated and mutually anti-correlated communities.
result Introduces a novel default risk model that outperforms traditional alternatives.

We study minority games in efficient regime. By incorporating the utility function and aggregating agents with similar strategies we develop an effective mesoscale notion of state of the game. Using this approach, the game can be represented as a Markov process with substantially reduced number of states with explicitl…

2011-11-29abs ↗pdf ↗

Paper generalizes sub-slope definition and solves complex equations on compact manifolds.

problem Solving complex equations on compact almost Hermitian manifolds.
method Generalized sub-slope definition and proved existence of solutions for a class of equations.
result Solved complex Hessian quotient and deformed Hermitian-Yang-Mills equations.

A challenging problem in the study of complex systems is that of resolving, without prior information, the emergent, mesoscopic organization determined by groups of units whose dynamical activity is more strongly correlated internally than with the rest of the system. The existing techniques to filter correlations are …

2013-11-08abs ↗pdf ↗

A free action of a finite group on an odd-dimensional sphere is said to be almost linear if the action restricted to each cyclic or 2-hyperelementary subgroup is conjugate to a free linear action. We begin this survey paper by reviewing the status of almost linear actions on the 3-sphere. We then discuss almost linear …

1999-11-17abs ↗pdf ↗

Near-optimal algorithms for mean estimation and linear regression with Gaussian covariates and Huber contamination.

problem Gaussian mean estimation and linear regression with Gaussian covariates in the presence of Huber contamination.
method Near-optimal algorithms with optimal error guarantees, achieving sample complexity n=ildeO(d/ε2)n = ilde{O}(d/ε^2) and almost linear runtime.
result First sample near-optimal and almost linear-time algorithms with optimal error guarantees for both problems.

Trade is a fundamental pillar of economy and a form of social organization. Its empirical characterization at the worldwide scale is represented by the World Trade Web (WTW), the network built upon the trade relationships between the different countries. Several scientific studies have focused on the structural charact…

2012-01-10abs ↗pdf ↗

Under appropriate assumptions, we generalize the concept of linear almost Poisson struc- tures, almost Lie algebroids, almost differentials in the framework of Banach anchored bundles and the relation between these objects. We then obtain an adapted formalism for mechanical systems which is illustrated by the evolution…

2011-11-25abs ↗pdf ↗

Mesoscopic pattern extraction (MPE) is the problem of finding a partition of the nodes of a complex network that maximizes some objective function. Many well-known network inference problems fall in this category, including, for instance, community detection, core-periphery identification, and imperfect graph coloring.…

2018-06-11abs ↗pdf ↗

A Riemannian almost product manifold with integrable almost product structure is called a Riemannian product manifold. In the present paper the natural connections on such manifolds are studied, i.e. the linear connections preserving the almost product structure and the Riemannian metric.

2011-01-31abs ↗pdf ↗

Characterizes almost Abelian Lie algebras with special HH-structures.

problem Identifying almost Abelian Lie algebras with torsion-free HH-structures.
method Using linear maps and endomorphisms, characterizes the subspace of ff for which the Lie algebra admits a special HH-structure.
result Explicitly computes the subspace of ff for various linear Lie groups HH.

Study asymptotically almost periodic solutions on real hyperbolic manifolds.

problem Existence and asymptotic behavior of solutions to parabolic equations.
method Dispersion and smoothing estimates, fixed point argument.
result Existence and uniqueness of asymptotically almost periodic solutions.

Let F2n=(M,M,F)F^{2n}=(M,M',F^{\ast}) be an even-dimensional pseudo-Finsler manifold. We construct an almost hypercomplex structure on any chart domain of a certain atlas of MM' by using a considered non-linear connection. Then by using the almost hypercomplex structure we define two new families of Finsler connections. Also w…

2013-05-26abs ↗pdf ↗

In the present work, we introduce a linear connection (preserving the almost product structure and the Riemannian metric) on Riemannian almost product manifolds. This connection, called P-connection, is an analogue of the first canonical connection of Lichnerowicz in the Hermitian geometry and the B-connection in the g…

2009-07-09abs ↗pdf ↗

Paper solves Gauduchon scalar curvature problem on almost Hermitian manifolds.

problem Prescribed Gauduchon scalar curvature problem on almost Hermitian manifolds.
method Reduced to solving a semi-linear partial differential equation with exponential nonlinearity using super and sub-solution method.
result Existence of solution depends on the sign of a constant associated to Gauduchon degree.

In the present paper, the (HM,S,T)(HM',S,T)-Cartan connections on pseudo-Finsler manifolds, introduced by A. Bejancu and H.R. Farran, are obtained by the natural almost complex structure arising from the nonlinear connection HMHM'. We prove that the natural almost complex linear connection associated to a (HM,S,T)(HM',S,T)-Cartan …

2006-09-06abs ↗pdf ↗

We study the irreducible decomposition under Sp(2n, R) of the space of torsion tensors of almost symplectic connections. Then a description of all symplectic quadratic invariants of torsion-like tensors is given. When applied to a manifold M with an almost symplectic structure, these instruments give preliminary insigh…

2011-07-10abs ↗pdf ↗

In his celebrated paper "Generic projections", John Mather has shown that almost all linear projections from a submanifold of a vector space into a subspace are transverse with respect to a given modular submanifold. In this paper, an improvement of Mather's result is stated. Namely, we show that almost all linear pert…

2016-07-12abs ↗pdf ↗

Let \nabla be a linear connection on an 2n2n-dimensional almost anti-Hermitian manifold MM\ equipped with an almost complex structure JJ, a pseudo-Riemannian metric gg and the twin metric G=gJG=g\circ J. In this paper, we first introduce three types of conjugate connections of linear connections relative to gg, $G…

2019-11-12abs ↗pdf ↗

Paper establishes estimates for nonlinear equations on compact manifolds.

problem Estimating solutions to fully nonlinear equations with gradient terms on compact almost Hermitian manifolds.
method Establishes second order estimates and proves existence of solutions for specific equations.
result Proves existence of solutions for various equations, including Monge-Ampère and Hessian equations.

The paper provides an almost optimal learning and testing algorithm for sparse polynomials.

problem Learning and testing sparse multivariate polynomials efficiently.
method The paper presents an algorithm with sublinear query complexity in 1/ε1/ε and almost linear in ss for learning and testing ss-sparse polynomials.
result The algorithm achieves almost optimal query complexity, making it the first of its kind.