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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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4895143190 · Jun 202019922001200920172026
48 results for analytic expressions

Analytic expressions for deep neural network output under stochastic training.

problem Understanding the impact of noise and hyperparameters on deep neural network performance.
method Taylor expansion of network output to derive analytical expressions for weights and output.
result Noise in training affects generalization by preventing the output from fully converging on train data, but does not provide explicit regularization.

Researchers derive an analytic expression for Gaussian stochastic volatility models.

problem Analyzing rich autocorrelation structures and persistence in financial markets.
method Two different analytic derivations of the joint characteristic function.
result First analytic formulae for option pricing in rough volatility models.

The paper calculates asymptotic expansions for specific types of oscillatory integrals.

problem Analyzing oscillatory integrals with complex phase functions.
method Using asymptotic expansions of simpler phase functions to derive results for more complex cases.
result Explicit computation of coefficients in asymptotic expansions for certain integrals.

We begin by showing that every real analytic orbifold has a real analytic Riemannian metric. It follows that every reduced real analytic orbifold can be expressed as a quotient of a real analytic manifold by a real analytic almost free action of a compact Lie group. We then extend a well-known result of Nomizu and Ozek…

2012-11-28abs ↗pdf ↗

Deep neural networks approximate analytic functions in high dimensions with exponential rates.

problem Approximating analytic functions in high-dimensional spaces using neural networks.
method Analyzing convergence rates of ReLU and ReLU^k activations in L2(Rd,γd)L^2(\mathbb{R}^d,γ_d) for dN{}d\in\mathbb{N}\cup\{\infty\}.
result Exponential convergence rates for analytic functions in L2(Rd,γd)L^2(\mathbb{R}^d,γ_d) for dNd\in\mathbb{N}, and dimension-independent bounds for d=d=\infty.

We propose and study a simple stochastic model for the dynamics of a limit order book, in which arrivals of market order, limit orders and order cancellations are described in terms of a Markovian queueing system. Through its analytical tractability, the model allows to obtain analytical expressions for various quantit…

2011-04-24abs ↗pdf ↗

Analytic torsion defined for rank 2 distributions on 5-manifolds.

problem Defining and analyzing analytic torsion for rank 2 distributions.
method Proposed an analytic torsion for Rumin complex associated with rank 2 distributions on 5-manifolds, established anomaly formulas, and showed coincidence with Ray-Singer torsion.
result The proposed torsion coincides with Ray-Singer torsion for certain nilmanifolds.

Yau proved an existence theorem for Ricci-flat Kähler metrics in the 1970's, but we still have no closed form expressions for them. Nevertheless there are several ways to get approximate expressions, both numerical and analytical. We survey some of this work and explain how it can be used to obtain physical predictions…

2015-03-10abs ↗pdf ↗

We present a comprehensive theory of homogeneous volatility (and variance) estimators of arbitrary stochastic processes that fully exploit the OHLC (open, high, low, close) prices. For this, we develop the theory of most efficient point-wise homogeneous OHLC volatility estimators, valid for any price processes. We intr…

2009-08-12abs ↗pdf ↗

For a GJR-GARCH specification with a generic innovation distribution we derive analytic expressions for the first four conditional moments of the forward and aggregated returns and variances. Moment for the most commonly used GARCH models are stated as special cases. We also the limits of these moments as the time hori…

2018-08-29abs ↗pdf ↗

We classify all regular three-dimensional convex cones which possess an automorphism group of dimension at least two, and provide analytic expressions for the complete hyperbolic affine spheres which are asymptotic to the boundaries of these cones. The affine spheres are represented by explicit hypersurface immersions …

2013-05-21abs ↗pdf ↗

We discuss an universal bordism invariant obtained from the Atiyah-Patodi-Singer eta-invariant from the analytic and homotopy theoretic point of view. Classical invariants like the Adams e-invariant, ρρ-invariants and StringString-bordism invariants are derived as special cases. The main results are a secondary index theo…

2011-03-22abs ↗pdf ↗

A new method synthesizes expressions from characteristics using GAN for healthcare.

problem Synthesizing expressions from given characteristics in high-dimensional space.
method Generative Adversarial Network (GAN) based selective ensemble learning.
result The proposed SE-CTES method effectively handles deterministic and stochastic patterns.

Paper proposes a surrogate model for efficient experience rating in large insurance portfolios.

problem Inexpensive and transparent computation of Bayesian premiums for large insurance portfolios.
method Surrogate modeling approach using likelihood-based summary statistics.
result Reduced computational burden and provided a transparent way of computing Bayesian premiums.

The classical Brody's theorem asserts the equivalence between two notions of hyperbolicity for compact complex spaces, one named after Kobayashi and one expressed in terms of lack of non constant holomorphic entire functions (compactness is only used to prove the harder implication). We extend this theorem to Deligne-M…

2012-01-12abs ↗pdf ↗

Modified perturbation method removes non-smoothness in solving Black-Scholes equations.

problem Non-smoothness in solving Black-Scholes equations.
method Variable transformations and homotopy perturbation method.
result Excellent agreement with exact solutions for Black-Scholes and multi-asset options.

We present and discuss several old and new methods for mapping a circular disc to a square. In particular, we present analytical expressions for mapping each point (u,v) inside the circular disc to a point (x,y) inside a square region. Ideally, we want the mapping to be smooth and invertible. In addition, we put emphas…

2015-09-21abs ↗pdf ↗

Researchers created an accurate kinetic energy functional for materials modeling.

problem Lack of accurate analytic kinetic energy functionals for large-scale ab initio materials modeling.
method Interpretative machine learning of crystal cell-averaged kinetic energy densities guided by a hybrid Gaussian process regression - neural network (GPR-NN) method.
result Constructed an analytic kinetic energy functional that reproduces Kohn-Sham DFT energy-volume curves with sufficient accuracy.

We show that the classical Szasz analytic function SN(f)(x)S_N(f)(x) is obtained by applying the pseudo-differential operator f(N1Dθ)f(N^{-1}D_θ) to the Bergman kernels for the Bargmann-Fock space. The expression generalizes immediately to any smooth polarized noncompact complete toric \kahler manifold, defining the generalized S…

2008-09-15abs ↗pdf ↗

We prove that if (C,0) is a reduced curve germ on a rational surface singularity (X,0) then its delta invariant can be recovered by a concrete expression associated with the embedded topological type of the pair (X,C). Furthermore, we also identify it with another (a priori) embedded analytic invariant, which is motiva…

2019-11-18abs ↗pdf ↗

We first apply the method and results in the previous paper to give a new proof of a result (hold in C/Z {\bf C}/{\bf Z}) of Gilkey on the variation of h-invariants associated to non self-adjoint Dirac type operators. We then give an explicit local expression of certain h-invariant appearing in recent papers of Braverma…

2006-04-16abs ↗pdf ↗

This work is an analytical and numerical study of the composition of several fractals into one and of the relation between the composite dimension and the dimensions of the component fractals. In the case of composition of standard IFS with segments of equal size, the composite dimension can be expressed as a function …

2014-07-10abs ↗pdf ↗

Tree ensembles such as Random Forests have achieved impressive empirical success across a wide variety of applications. To understand how these models make predictions, people routinely turn to feature importance measures calculated from tree ensembles. It has long been known that Mean Decrease Impurity (MDI), one of t…

2019-06-26abs ↗pdf ↗

We develop series expansions in powers of q1q^{-1} and q1/2q^{-1/2} of solutions of the equation ψ(z)=qψ(z) = q, where ψ(z)ψ(z) is the Laplace exponent of a hyperexponential Lévy process. As a direct consequence we derive analytic expressions for the prices of European call and put options and their Greeks (Theta, Delta, and G…

2017-05-16abs ↗pdf ↗

Develops a novel framework for pricing variance swaps in multi-asset stochastic volatility models.

problem Pricing variance swaps in multi-asset stochastic volatility models.
method Determinant-based instantaneous generalized variance, Heston and BNS stochastic volatility frameworks.
result Analytical pricing expressions for multi-asset Heston and BNS formulations.

New method estimates latent gene expression factors without overlap with known confounders.

problem Estimating latent variance components in gene expression data with known confounders.
method Restricted maximum-likelihood method maximizing likelihood on orthogonal subspace.
result Method reduces runtime and attains greater likelihood values than gradient-based optimizers.