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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.

168,695 papers · 148 categories

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2468 · Jun 202619922001200920172026
48 results for Uhlenbeck

Characterizes Lévy-driven Ornstein-Uhlenbeck processes linked to tempered stable distributions.

problem Understanding Lévy-driven Ornstein-Uhlenbeck processes and their properties.
method Characterizes the Lévy triplet and deduces transition laws for finite variation Ornstein-Uhlenbeck processes associated with tempered stable distributions.
result Provides algorithms for generating skeleton of Ornstein-Uhlenbeck processes related to exponentially-modulated tempered stable laws.

Entropy-minimal measure calculated for a stochastic volatility model.

problem Calculating the entropy-minimal equivalent martingale measure in a stochastic volatility model.
method Revised related theory, calculated entropy-minimal measure.
result Entropy-minimal measure for the exponential Ornstein-Uhlenbeck model.

Extends optimal regularity and Uhlenbeck compactness to non-Riemannian manifolds.

problem Establishing optimal regularity and compactness for connections on vector bundles over non-Riemannian manifolds.
method Proofs based on RT-equations for connections with LpL^p curvature, extending to non-compact gauge groups.
result Removes singularities at GR shock waves, ensuring existence of geodesics and coordinates.

A new fast method simulates stochastic volatility models.

problem Simulating stochastic volatility models efficiently.
method Karhunen-Loève expansions to express stochastic volatility as sine series, followed by analytical derivation of integrals.
result Simulation is several hundred times faster than existing methods.

Develops European power option pricing under correlated interest rate and asset processes.

problem Pricing European power options under correlated interest rate and asset processes.
method Martingale method and Girsannov transform.
result Derives European power option pricing formulae under two market assumptions.

Paper models non-maturing deposits using a Lévy-driven Ornstein-Uhlenbeck process.

problem Managing non-maturing deposits as a major funding source for banks.
method Develops a multivariate Lévy-driven Ornstein-Uhlenbeck process with three sources of randomness.
result Models rare but severe events in deposit volumes with positive probability.

Study optimal strategy for maximizing exponential utility in financial market with linear price impact.

problem Maximizing exponential utility in financial market with linear price impact.
method Purely probabilistic approach using duality.
result Computed optimal portfolio strategy and value for Ornstein-Uhlenbeck process.

The paper proves a Donaldson-Uhlenbeck-Yau theorem for normal varieties and semistable bundles.

problem Proving a Donaldson-Uhlenbeck-Yau theorem for normal varieties and semistable bundles.
method Analyzing degenerating families of projective normal varieties and studying the limiting behavior of semistable bundles.
result Improves several previously known algebro-geometric results on normalized tautological classes and proves a new version of the singular Donaldson-Uhlenbeck-Yau theorem.

Model approximates market prices and returns without prior market dynamics.

problem Simultaneously approximate market prices and log returns.
method GDN model of Kratsios and Papon (2022) for generalized Ornstein-Uhlenbeck process.
result Universal approximation guarantees for conditional distributions and contingent claims.

Study on gamma-related OU processes with simulation methods.

problem Distributional properties and simulation of gamma-related OU processes.
method Investigation of gamma and bilateral gamma laws, derivation of closed-form densities and characteristic functions, and development of efficient simulation algorithms.
result Efficient algorithms for generating gamma-related OU processes with significantly faster performance than existing methods.

Method verifies if observed data fits Lévy-Driven Ornstein-Uhlenbeck process.

problem Verifying if observed data fits Lévy-Driven Ornstein-Uhlenbeck process.
method Estimating parameters and approximating the driving process to test CAR(1) Lévy-driven hypothesis.
result Demonstrates method's effectiveness through simulations and real data examples.

Study optimizes dividend payout strategies under fluctuating interest rates.

problem Maximizing dividends under stochastic interest rates with negative values.
method Analytical HJB approach and backward SDEs for analysis.
result Explicit optimal strategies found for both time-dependent and strategy-independent stopping times.

Karen Uhlenbeck's compactness theorem for sequences of connections with L2 bounds on curvature applies only to connections on principal bundles with compact structure group. This article states and proves an extension of Uhlenbecks theorem that describes sequences of connections on principal PSL(2;C) bundles over compa…

2012-05-02abs ↗pdf ↗

Modeling horse race betting odds with Ornstein-Uhlenbeck process.

problem Analyzing how herding and informed bettors affect odds movements.
method Deriving an Ornstein-Uhlenbeck process from vote shares and odds movements data.
result Identified microscopic and macroscopic patterns in odds convergence.

Study prices energy derivatives using specific stochastic processes.

problem Pricing energy derivatives in markets driven by specific stochastic processes.
method Calculated characteristic functions, derived non-arbitrage conditions, and developed efficient algorithms for simulation.
result Developed methods for pricing various energy contracts.

In this paper, we study an αα-flow for the Sack-Uhlenbeck functional on Riemannian surfaces and prove that the limiting map by the αα-flows is a weak solution to the harmonic map flow. By an application of the αα-flow, we present a simple proof of an energy identity of a minimizing sequence in each homotopy class.

2010-07-19abs ↗pdf ↗

We prove that any flat family (Fu)uU(\mathcal{ F}_u)_{u\in U} of rank 2 torsion-free sheaves on a Gauduchon surface defines a continuous map on the semi-stable locus Uss:={uU  Fu is slope semi-stable}U^{\mathrm {ss}}:=\{u\in U \ |\ \mathcal{ F}_u\hbox{ is slope semi-stable}\} with values in the Donaldson-Uhlenbeck compactification of the corresponding in…

2016-12-30abs ↗pdf ↗

New conservation laws found for polyharmonic maps in critical dimension.

problem Existence of conservation laws for polyharmonic maps in critical dimension.
method Small perturbation of Uhlenbeck's gauge fixing matrix.
result Existence of conservation laws for elliptic systems of even order in critical dimension.

A new volatility model calibrates SPX & VIX smiles with 6 parameters.

problem Joint calibration of SPX and VIX smiles with a simple model.
method Quintic Ornstein-Uhlenbeck volatility model with polynomial volatility process.
result Remarkable joint fits of SPX-VIX smiles with only 6 parameters.

Extends optimal regularity and compactness to vector bundles over non-Riemannian manifolds.

problem Optimal regularity and compactness for connections on vector bundles.
method Derive RT-equations, establish existence theory, handle curvature up to L1L^1.
result Optimal regularity and compactness extended to vector bundles over non-Riemannian manifolds.

The paper explores how score-driven models can approximate rough volatility.

problem Modeling rough volatility with long memory structures.
method Extending score-driven models to include infinite-lag structures and heavy-tailed decay.
result Score-driven models converge to fractional Ornstein-Uhlenbeck processes under appropriate scaling.

Study optimal futures trading strategies for assets with multiscale central tendency price model.

problem Optimal dynamic trading of futures with multiscale central tendency price model.
method Derive no-arbitrage futures prices, solve HJB equations for optimal strategies.
result Optimal trading strategies depend on asset parameters and futures risk premia.

Study on Yang-Mills equation near instanton-anti-instanton configurations with energy constraints.

problem Understanding Yang-Mills connections near instanton-anti-instanton configurations.
method Analyzing the Uhlenbeck limit and bubble configurations, determining obstructions and proving solutions.
result Instantons are the only solutions with energy less than $4π^2 \left( |κ| + 2 ight) + \varepsilon_κ$.

Deep learning outperforms traditional methods in estimating OU process parameters.

problem Parameter estimation of the Ornstein-Uhlenbeck process is challenging.
method Used a multi-layer perceptron to estimate OU process parameters compared to traditional methods like Kalman filter and maximum likelihood estimation.
result Deep learning method outperforms traditional methods in parameter estimation of the OU process.

Study simulates Variance Gamma processes for energy derivatives pricing.

problem Simulating Variance Gamma processes for accurate energy derivative pricing.
method Three-step procedure to relate self-decomposability to increments, derived from Qu et al. (2019). Exact simulation of skeleton of Variance Gamma and symmetric Variance Gamma driven Ornstein-Uhlenbeck processes.
result Exact simulation of Variance Gamma and related processes without numerical inversion.

Two new models for volatility in Markov-switching environments capture financial time-series properties.

problem Modeling volatility in environments with regime switches and exogenous jumps.
method Generalizations of COGARCH and Barndorff-Nielsen-Shephard models using Markov-modulated generalized Ornstein-Uhlenbeck processes.
result Models inherit properties of original models and capture stylized facts of financial time-series.

Approximates derivative pricing under fractional stochastic volatility.

problem Derivative pricing under fractional stochastic volatility model.
method Approximate expression derived from deterministic functions and fractional Ornstein-Uhlenbeck process.
result Numerical simulations show the feasibility and effect of long-range dependencies on derivative prices.

The study investigates noise effects on parameter estimation for Ornstein-Uhlenbeck processes.

problem Impact of noise on parameter fitting for Ornstein-Uhlenbeck processes.
method Proposed algorithms to distinguish between thermal and multiplicative noise.
result Effective methods to estimate parameters even when multiplicative noise dominates.