Journal of Computational Finance

Risk.net

Convergence analysis of Crank–Nicolson and Rannacher time-marching

Michael B. Giles, Rebecca Carter

ABSTRACT

This paper presents a convergence analysis of Crank–Nicolson and Rannacher time-marching methods which are often used in finite difference discretizations of the Black–Scholes equations. Particular attention is paid to the important role of Rannacher’s startup procedure, in which one or more initial timesteps use backward Euler timestepping, to achieve second-order convergence for approximations of the first and second derivatives. Numerical results confirm the sharpness of the error analysis which is based on asymptotic analysis of the behavior of the Fourier transform. The relevance to Black–Scholes applications is discussed in detail, with numerical results supporting recommendations on how to maximize the accuracy for a given computational cost.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to Risk.net? View our subscription options

You need to sign in to use this feature. If you don’t have a Risk.net account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here