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Jingtang Ma

Researcher at Southwestern University of Finance and Economics

Publications -  11
Citations -  27

Jingtang Ma is an academic researcher from Southwestern University of Finance and Economics. The author has contributed to research in topics: Valuation of options & Markov chain. The author has an hindex of 3, co-authored 11 publications receiving 16 citations.

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Hybrid Laplace transform and finite difference methods for pricing American options under complex models

TL;DR: A hybrid Laplace transform and finite difference method to price (finite-maturity) American options, which is applicable to a wide variety of asset price models including the constant elasticity of variance (CEV), hyper-exponential jump–diffusion, Markov regime switching models, and the finite moment log stable (FMLS) models.
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Analysis of Markov chain approximation for Asian options and occupation-time derivatives: Greeks and convergence rates

TL;DR: This paper for the first time establishes the exact second-order convergence rates of the CTMC methods when applied to the prices and Greeks of Asian options and proposes a new set of error analysis methods for these path-dependent derivatives, whose payoffs depend on the average of asset prices.
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Finite element and DG analysis for neutral-type Volterra integro-differential equations with weakly singular kernels

TL;DR: A priori error estimations for the finite-element-method semi-discretization of the given problem are established by defining a suitable Ritz–Volterra projection operator: here, the key point in the proof is the fact that the definition of the Ritz-VolterRA projection operator that is not related to the neutral term.
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Stochastic areas of diffusions and applications

TL;DR: In this article, the stochastic area swept by a regular time-homogeneous diffusion till a stopping time was studied. And the Laplace transform and integer moments were characterized in terms of the eigenfunctions of the associated diffusion.
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Convergence analysis for continuous-time Markov chain approximation of stochastic local volatility models: Option pricing and Greeks

TL;DR: In this paper, the second order convergence rate of the continuous-time Markov chain (CTMC) approximation method for pricing options under the general framework of stochastic local volatility (SLV) models is established.