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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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98196293391 · May 202619922001200920172026
48 results for martingale condition

The stochastic exponential Zt=exp{MtM0(1/2)<M,M>t}Z_t=\exp\{M_t-M_0-(1/2) <M,M>_t\} of a continuous local martingale MM is itself a continuous local martingale. We give a necessary and sufficient condition for the process ZZ to be a true martingale in the case where Mt=0tb(Yu)dWuM_t=\int_0^t b(Y_u)\,dW_u and YY is a one-dimensional diffusion drive…

2009-05-22abs ↗pdf ↗

Unique solutions found for diffusive martingale problems.

problem Finding unique solutions to Cauchy problems for diffusive real-valued strict local martingales.
method Provided sets of smooth functions under local Hölder and Engelbert-Schmidt conditions for unique classical and weak solutions.
result Unique solutions found for specific martingale models.

We exhibit sufficient conditions such that components of a multidimensional SDE giving rise to a local martingale MM are strict local martingales or martingales. We assume that the equations have diffusion coefficients of the form σ(Mt,vt),σ(M_t,v_t), with vtv_t being a stochastic volatility term.

2019-03-06abs ↗pdf ↗

We show that the left-monotone martingale coupling is optimal for any given performance function satisfying the martingale version of the Spence-Mirrlees condition, without assuming additional structural conditions on the marginals. We also give a new interpretation of the left monotone coupling in terms of Skorokhod e…

2017-01-24abs ↗pdf ↗

In this paper we introduce the concept of conic martingales}. This class refers to stochastic processes having the martingale property, but that evolve within given (possibly time-dependent) boundaries. We first review some results about the martingale property of solution to driftless stochastic differential equations…

2016-03-24abs ↗pdf ↗

The paper connects financial vacuum conditions to spontaneous symmetry breaking in quantum finance.

problem Understanding the conditions under which the martingale condition is a non-degenerate vacuum.
method Expressing financial equations in Hamiltonian form and analyzing symmetry breaking.
result Conditions for the martingale condition to be a non-degenerate vacuum are identified.

Study finds optimal martingale coupling between two distributions with minimal entropy.

problem Finding the optimal martingale coupling between two distributions with minimal relative entropy.
method Solving a dual problem to find the log-density of the optimal coupling, which represents the marginal and martingale constraints.
result The log-density of the optimal coupling is given by a triplet of real functions representing the marginal and martingale constraints.

Let FG\mathbb{F}\subset \mathbb{G} be two filtrations and SS be a F\mathbb{F} semimartingale possessing a F\mathbb{F} local martingale deflator. Consider ττ a G\mathbb{G} stopping time. We study the problem whether SτS^{τ-} or SτS^τ can have G\mathbb{G} local martingale deflators. A suitable theoretical framework…

2014-05-18abs ↗pdf ↗

New boundary condition for Black-Scholes equations in strict local martingale models.

problem Computing prices of European options with underlying asset as a strict local martingale.
method Numerical procedure using finite difference methods with a new boundary condition at infinity.
result The minimal solution, satisfying a discrete maximum principle, is the correct derivative price.

Numerical observations on martingale couplings are confirmed under certain conditions.

problem Understanding the validity of numerical observations on maximizers and minimizers of martingale couplings.
method Investigation of sufficient conditions and counterexamples for the property to hold.
result The non-decreasing property of martingale couplings is preserved for maximizers under specific conditions.

We extend Kyle's model to include stochastic liquidity and multiple assets.

problem Modeling informed trading with stochastic liquidity and multiple assets.
method Developed a variational formulation and derived a matrix-valued martingale depth process.
result A linear-Gaussian equilibrium with stochastic matrix-valued price impact.

We derive integral tests for the existence and absence of arbitrage in a financial market with one risky asset which is either modeled as stochastic exponential of an Ito process or a positive diffusion with Markov switching. In particular, we derive conditions for the existence of the minimal martingale measure. We al…

2018-09-25abs ↗pdf ↗

For several decades, the no-arbitrage (NA) condition and the martingale measures have played a major role in the financial asset's pricing theory. We propose a new approach for estimating the super-replication cost based on convex duality instead of martingale measures duality: Our prices will be expressed using Fenche…

2018-07-12abs ↗pdf ↗

Study a continuous portfolio optimization with a new CVaR-like constraint using martingale approach.

problem Optimizing a portfolio under a new CVaR-like constraint that is not compatible with traditional methods.
method Follows a martingale approach in a complete market setting, solving a convex constrained minimization problem.
result Obtains a tractable and interpretable characterization of the optimal strategy.

In the context of jump-diffusion market models we construct examples that satisfy the weaker no-arbitrage condition of NA1 (NUPBR), but not NFLVR. We show that in these examples the only candidate for the density process of an equivalent local martingale measure is a supermartingale that is not a martingale, not even a…

2015-11-26abs ↗pdf ↗

This paper analyzes how kinetic terms in stock market equations can affect symmetry breaking.

problem Spontaneous symmetry breaking in quantum finance and its impact on stock market dynamics.
method Analyzes the role of kinetic terms in the context of the martingale condition in stock market equations.
result Kinetic terms can shift the effective location of the vacuum state, affecting symmetry breaking patterns.

Study optimal semistatic portfolios using martingale Schrödinger bridges.

problem Optimizing semistatic portfolios in a dynamic stock market.
method Minimizing entropy among calibrated martingale measures.
result Explicit solution for optimal semistatic portfolios exists.

Deviation inequalities for stochastic approximation methods.

problem Establishing bounds on the deviation of stochastic approximation methods.
method Martingale approximation method for separately Lipschitz functions.
result Established various deviation inequalities for stochastic approximation by averaging and minimization.

We discuss martingales, detrending data, and the efficient market hypothesis for stochastic processes x(t) with arbitrary diffusion coefficients D(x,t). Beginning with x-independent drift coefficients R(t) we show that Martingale stochastic processes generate uncorrelated, generally nonstationary increments. Generally,…

2007-01-23abs ↗pdf ↗

We introduce a new class of processes for the evaluation of multivariate equity derivatives. The proposed setting is well suited for the application of the standard copula function theory to processes, rather than variables, and easily enables to enforce the martingale pricing requirement. The martingale condition is i…

2016-07-06abs ↗pdf ↗

Study on martingale property and moment explosions in signature volatility models.

problem Analyzing the martingale property and moment explosions in signature volatility models.
method Fine analysis of the explosion time of a signature stochastic differential equation.
result The price process is a true martingale if and only if the order of the linear form is odd and a correlation parameter is negative.

The paper models asset prices using Wiener chaos expansions for efficient calibration to implied volatility surfaces.

problem Calibrating to implied volatility surfaces using flexible martingale models.
method Constructing an over-parameterized martingale model based on Wiener chaos expansions and conditional expectations.
result The method enables fast calibration to implied volatility surfaces and demonstrates flexibility through numerical experiments.

We study a variant of the martingale optimal transport problem in a multi-period setting to derive robust price bounds of a financial derivative. On top of marginal and martingale constraints, we introduce a time-homogeneity assumption, which restricts the variability of the forward-looking transitions of the martingal…

2019-08-27abs ↗pdf ↗

Paper analyzes convergence of two time-scale stochastic approximation using martingale approach.

problem Analyzing convergence of two time-scale stochastic approximation algorithms.
method Uses martingale approach to establish convergence conditions and rates.
result Establishes different rates of convergence for fast and slow subsystems.

Defines speculative bubbles in discrete-time models based on discounted stock price losing mass.

problem Characterizing speculative bubbles in discrete-time models.
method Introduces a new definition based on discounted stock price behavior and provides probabilistic characterizations.
result Speculative bubbles in discrete time are linked to solutions of a linear Volterra integral equation.

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 ↗

Study uses viscosity solutions to solve control problems involving measure-valued martingales.

problem Stochastic control problems with measure-valued martingale state processes.
method Viscosity solution approach exploiting structural properties of MVM processes.
result Value function is the unique viscosity solution to the HJB equation.

Given a set-valued stochastic process (Vt)t=0T(V_t)_{t=0}^T, we say that the martingale selection problem is solvable if there exists an adapted sequence of selectors ξtVtξ_t\in V_t, admitting an equivalent martingale measure. The aim of this note is to underline the connection between this problem and the problems of asset pr…

2006-02-26abs ↗pdf ↗

Paper defines saddle points in asymmetric Dynkin games using martingale theory.

problem Tackles saddle point conditions in asymmetric Dynkin games with partial information.
method Uses martingale theory to identify super and submartingales related to equilibrium payoffs.
result Characterizes saddle point strategies in terms of equilibrium payoffs' dynamics and Doob-Meyer decompositions.

New analysis shows LLMs don't follow Bayesian inference in ICL.

problem Does in-context learning in LLMs follow Bayesian inference?
method Analyzes ICL through the martingale property, a requirement for Bayesian inference.
result Violations of the martingale property show LLMs don't follow Bayesian inference.