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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.

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79159238317 · Jun 202019922001200920172026
48 results for Feller property

The asymptotic behavior of the heat kernel of a Riemannian manifold gives rise to the classical concepts of parabolicity, stochastic completeness (or conservative property) and Feller property (or C0C^{0}-diffusion property). Both parabolicity and stochastic completeness have been the subject of a systematic study whic…

2010-10-08abs ↗pdf ↗

Based on ideas of Pigolla and Setti \cite{PS} we prove that immersed submanifolds with bounded mean curvature of Cartan-Hadamard manifolds are Feller. We also consider Riemannian submersions π ⁣:MNπ\colon M \to N with compact minimal fibers, and based on various criteria for parabolicity and stochastic completeness, see \c…

2011-09-15abs ↗pdf ↗

We propose a simpler derivation of the probability density function of Feller Diffusion using the Fourier Transform and solving the resulting equation via the Method of Characteristics. We also discuss simulation algorithms and confirm key properties related to hitting time probabilities via the simulation.

2019-05-26abs ↗pdf ↗

We consider Feller mean-reverting square-root diffusion, which has been applied to model a wide variety of processes with linearly state-dependent diffusion, such as stochastic volatility and interest rates in finance, and neuronal and populations dynamics in natural sciences. We focus on the statistical mixing (or sup…

2009-10-08abs ↗pdf ↗

When dealing with Heston's stochastic volatility model, the change of measure from the subjective measure P to the objective measure Q is usually investigated under the assumption that the Feller condition is satisfied. This paper closes this gap in the literature by deriving sufficient conditions for the existence of …

2018-09-28abs ↗pdf ↗

Proves generalization bounds for SGD using Feller processes and Hausdorff dimension.

problem Characterizing generalization properties of SGD in deep learning.
method Proves generalization bounds for SGD under Feller process approximation, linking generalization error to the Hausdorff dimension of trajectories.
result Generalization error controlled by the Hausdorff dimension of trajectories, which is linked to the tail behavior of the driving process.

This paper discusses properties of a Doubly Stochastic Poisson Process (DSPP) where the intensity process belongs to a class of affine diffusions. For any intensity process from this class we derive an analytical expression for probability distribution functions of the corresponding DSPP. A specification of our results…

2011-09-13abs ↗pdf ↗

We study decay and compact support properties of positive and bounded solutions of ΔpuΛ(u)Δ_{p} u \geq Λ(u) on the exterior of a compact set of a complete manifold with rotationally symmetry. In the same setting, we also give a new characterization of stochastic completeness for the pp-Laplacian in terms of a global $W^{1,…

2020-01-16abs ↗pdf ↗

We consider isotropic Lévy processes on a compact Riemannian manifold, obtained from an Rd\mathbb{R}^d-valued Lévy process through rolling without slipping. We prove that the Feller semigroups associated with these processes extend to strongly continuous contraction semigroups on LpL^p, for 1p<1\leq p<\infty, and that t…

2019-07-25abs ↗pdf ↗

Adaptive method improves numerical solution of Cox-Ingersoll-Ross model.

problem Approximating solutions to the Cox-Ingersoll-Ross model efficiently.
method Path-bounded timestepping with hybrid approach, including a backstop method.
result The adaptive method is strongly convergent, with strong error control.

We consider stochastic partial differential equations appearing as Markovian lifts of matrix valued (affine) Volterra type processes from the point of view of the generalized Feller property (see e.g., \cite{doetei:10}). We introduce in particular Volterra Wishart processes with fractional kernels and values in the con…

2019-07-02abs ↗pdf ↗

We review some developments concerning Markov and Feller processes with jumps in geometric settings. These include stochastic differential equations in Markus canonical form, the Courrège theorem on Lie groups, and invariant Markov processes on manifolds under both transitive and more general Lie group actions.

2019-09-17abs ↗pdf ↗

In this paper long-run risk sensitive optimisation problem is studied with dyadic impulse control applied to continuous-time Feller-Markov process. In contrast to the existing literature, focus is put on unbounded and non-uniformly ergodic case by adapting the weight norm approach. In particular, it is shown how to com…

2019-06-14abs ↗pdf ↗

In this paper we consider long-run risk sensitive average cost impulse control applied to a continuous-time Feller-Markov process. Using the probabilistic approach, we show how to get a solution to a suitable continuous-time Bellman equation and link it with the impulse control problem. The optimal strategy for the und…

2019-12-05abs ↗pdf ↗

Study on VIX options pricing in SABR model, showing infinite prices due to volatility explosion.

problem Infinite VIX futures and call prices due to volatility explosion in SABR model.
method Analyzing SABR model, showing vtv_t as unique solution to diffusion process, proving explosion using Feller test, proposing capped volatility process.
result VIX futures and call prices are infinite for any maturity due to volatility explosion, but capped volatility process mitigates this issue.

We solve continuous-time reinforcement learning using distributional Hamilton-Jacobi-Bellman equations.

problem Predicting the distribution of returns in continuous-time, stochastic environments.
method We derive a distributional Hamilton-Jacobi-Bellman equation for Itô diffusions and Feller-Dynkin processes, and propose an algorithm based on a JKO scheme.
result We propose an online control algorithm that can be used to approximately solve the distributional HJB equation.

The SABR model is a benchmark stochastic volatility model in interest rate markets, which has received much attention in the past decade. Its popularity arose from a tractable asymptotic expansion for implied volatility, derived by heat kernel methods. As markets moved to historically low rates, this expansion appeared…

2017-01-08abs ↗pdf ↗

Study simulates Heston-type local stochastic volatility model using particle method.

problem Simulate calibrated Heston-type local stochastic volatility model with non-standard coefficients.
method Monte Carlo particle method, Euler-Maruyama scheme, full truncation Euler scheme.
result Strong convergence of Euler-Maruyama scheme with rate 1/2 in time, up to a logarithmic factor.

Paper calculates homology and intersection form of trisected 4-manifolds with boundary.

problem Calculating homology and intersection form of trisected 4-manifolds with boundary.
method Uses relative trisection diagrams to calculate homology and intersection form.
result Describes a representative of the second Stiefel-Whitney class using relative trisection diagrams.

It is generally understood that a given one-dimensional diffusion may be transformed by Cameron-Martin-Girsanov measure change into another one-dimensional diffusion with the same volatility but a different drift. But to achieve this we have to know that the change-of-measure local martingale that we write down is a tr…

2019-10-25abs ↗pdf ↗

Let L=ΔφL=Δ-\nablaφ\cdot \nabla be a symmetric diffusion operator with an invariant measure μ(dx)=eφ(x)m(dx)μ({\rm} d x)=e^{-φ(x)}{\mathfrak m}({\rm d} x) on a complete non-compact smooth Riemannian manifold (M,g)(M,g) with its volume element m=volg{\mathfrak m}={\rm vol}_g, and φC2(M)φ\in C^2(M) a potential function. In this paper, we prove a L…

2020-01-02abs ↗pdf ↗

We propose a simple model of the banking system incorporating a game feature where the evolution of monetary reserve is modeled as a system of coupled Feller diffusions. The Markov Nash equilibrium generated through minimizing the linear quadratic cost subject to Cox-Ingersoll-Ross type processes creates liquidity and …

2016-11-21abs ↗pdf ↗

Develops high-order approximations for financial models, proving convergence and regularity.

problem Challenges in approximating and regularizing the Heston model due to its square root diffusion term.
method Random grid technique, Cox-Ingersoll-Ross (CIR) process, log-Heston process, PDE analysis.
result Achieves weak approximations of any order for smooth test functions in the Heston model, extending to log-Heston process.

New algorithms for collaborative reinforcement learning with limited communication.

problem Efficiently learning value functions in multi-agent systems with strict information constraints.
method Distributed gradient-based temporal difference algorithms with consensus schemes.
result Parameter estimates converge to ODEs with defined invariant sets under general assumptions.

The Heston model stands out from the class of stochastic volatility (SV) models mainly for two reasons. Firstly, the process for the volatility is non-negative and mean-reverting, which is what we observe in the markets. Secondly, there exists a fast and easily implemented semi-analytical solution for European options.…

2010-10-08abs ↗pdf ↗

We compute exact values respectively bounds of "distances" - in the sense of (transforms of) power divergences and relative entropy - between two discrete-time Galton-Watson branching processes with immigration GWI for which the offspring as well as the immigration is arbitrarily Poisson-distributed (leading to arbitra…

2010-05-20abs ↗pdf ↗

In this paper we investigate the effectiveness of Alternating Direction Implicit (ADI) time discretization schemes in the numerical solution of the three-dimensional Heston-Hull-White partial differential equation, which is semidiscretized by applying finite difference schemes on nonuniform spatial grids. We consider t…

2011-11-17abs ↗pdf ↗

The continuous observation of the financial markets has identified some stylized facts which challenge the conventional assumptions, promoting the born of new approaches. On the one hand, the long-range dependence has been faced replacing the traditional Gauss-Wiener process (Brownian motion), characterized by stationa…

2019-03-13abs ↗pdf ↗

This paper uses entropy to derive stock price dynamics and option valuation.

problem Deriving stock price dynamics and option valuation from information constraints.
method Develops an entropic inference framework to derive stochastic processes from information constraints, representing price changes through two channels: continuous and jump.
result The derived dynamics is the Merton jump diffusion, with Geometric Brownian Motion as the no jump limit.

Volterra square-root process boundary behavior and martingale measures

problem Boundary behavior of the Volterra square-root process
method Comparison principles for Volterra integral equations and generalized Riemann-Liouville fractional equations
result Finiteness of negative pp-moments and atom at the boundary for rough kernels