Dr Lukas Szpruch

Dr Lukas Szpruch

Dr Lukas Szpruch

Personal Web Page

eMail: Lukas [dot] Szpruch [-at-] maths [dot] ox [dot] ac [dot] uk
Contact Form

Phone Number(s):

Reception/Secretary: +44 1865 273525
Direct: +44 (0)1865 270502

Office: DH3

Departmental Address:

Mathematical Institute
24-29 St Giles'
Oxford
OX1 3LB
England

Research Interests: 

I am a Nomura Research Fellow at the Mathematical and Computational Finance Group within the Mathematical Institute and a  member of Oxford-Man Institute of Quantitative Finance. I hold a Ph.D. in Mathematics from University of Strathclyde in Glasgow.

My research interests are in theoretical and applied probability theory, stochastic analysis and numerical methods for stochastic processes. I have a particular interest in non-linear stochastic differential equations  arising in financial mathematics and applications of the multi-level Monte Carlo methods.



Major/Recent Publications: 

S. Dereich, A. Neuenkirch and L. Szpruch, An Euler-Type Method For The Strong Approximation Of The Cox-Ingersoll-Ross Process', submitted.

L. Szpruch and X. Mao, Strong Convergence and Stability of Numerical Methods for Non-linear Stochastic Differential Equations under Monotone Condition, submitted.

L. Szpruch and X. Mao, Strong Convergence Rates for Backward Euler-Maruyama method for Dissipative-type Stochastic Differential Equations with Super-Linear Diffusion Coefficients, to appear in Stochastics.

D. J. Higham, S. Intep, X. Mao and L. Szpruch, Hybrid Simulation of Auto-regulation within Transcription and Translation, BIT Numer Math., Vol. 51, No. 1, pp. 177-196, 2011.

L. Szpruch, X. Mao, D. J. Higham and J. Pan, Numerical simulation of a strongly nonlinear Ait-Sahalia-type interest rate model, BIT Numer Math, Vol. 51, No. 2, pp. 405-425, 2011.

F. Wu, X. Mao and L. Szpruch, Almost sure exponential stability of numerical solutions for stochastic delay differential equations, Numerische Mathematik, Vol. 115, No. 4, pp. 681-697, 2010.

L. Szpruch and D. J. Higham, Comparing Hitting Time Behavior of Markov Jump Processes and Their Diffusion Approximations, Multiscale Model. Simul., No. 8, pp. 605-621, 2010.