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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.

169,051 papers · 148 categories

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96192287383 · May 202619922001200920182026
48 results for Feller condition

Paper addresses Heston model under violated Feller condition, deriving new change of measure conditions.

problem Investigates Heston model under Feller condition violation.
method Derives sufficient conditions for equivalent martingale measure and true martingale stock price process.
result New conditions for change of measure and martingale properties in Heston model are established.

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 ↗

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.

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 ↗

Study decay and compact support of solutions to certain nonlinear PDEs.

problem Decay and compact support properties of positive solutions to ΔpuΛ(u)Δ_{p} u \geq Λ(u) on manifolds.
method Nonlinear PDE analysis, Feller property, integral Ricci curvature conditions.
result Characterization of stochastic completeness for the pp-Laplacian.

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.

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 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 ↗

The paper studies Lévy processes on compact manifolds, proving properties of their semigroups.

problem Analyzing Lévy processes on compact Riemannian manifolds.
method Proving properties of Feller semigroups and generators on LpL^p spaces.
result The generator has a discrete spectrum of eigenvalues and the semigroup is trace-class when the process has a non-trivial Brownian part.

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.

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.

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 ↗

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 ↗

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.

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 ↗

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.

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 ↗

The paper proves a Laplacian comparison theorem on weighted Riemannian manifolds and applies it to diffusion processes.

problem Analyzing diffusion processes on Riemannian manifolds with weighted metrics.
method Proving a Laplacian comparison theorem and applying it to various geometric and analytic properties of diffusion processes.
result Optimal conditions on mm-Bakry-Émery Ricci tensor for various geometric and analytic properties to hold on weighted complete Riemannian manifolds.

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 ↗

Paper studies long-run risk optimization with dyadic impulses for unbounded processes.

problem Long-run risk optimization problem with unbounded and non-uniformly ergodic processes.
method Adapting weight norm approach, combining geometric drift and local minorization property.
result Existence of solution to Bellman equation for risk-averse parameters.

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

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.

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.