Chris Rogers' home page

E-mail Address: L.C.G.Rogers[AT]


How can we exit from the covid-19 crisis? There is a Jupyter notebook which offers some ideas. If you want to run the notebook, you can do this using Google Colab at this link. You will need a Google account for full functionality.

Chris Rogers took up the Chair of Statistical Science in September 2002, after almost nine years at the University of Bath, where he was Professor of Probability in the Department of Mathematical Sciences. Before that, he had held teaching positions at Queen Mary & Westfield College (University of London), the University of Cambridge, the University College of Swansea, and the University of Warwick. He took early retirement in 2015.

Chris works in the theory of probability and its applications, particularly in quantitative finance. His work in finance includes the potential approach to the term structure of interest rates, complete models of stochastic volatility, portfolio turnpike theorems, improved binomial pricing, robust hedging, liquidity modelling, axiomatics of valuation operators, the equity premium puzzle, duality in optimal investment/consumption, and Monte Carlo valuation of American options.

Chris has served the community as a past or present editor of Finance & Stochastics, Mathematical Finance, Annals of Applied Probability , Stochastic Processes and their Applications, and Stochastics. Additionally, he organised two major international programmes at the Isaac Newton Institute , Financial Mathematics in 1995, and Developments in Quantitative Finance in 2005. Together with Professor David Williams, Chris wrote the two volume work `Diffusions, Markov Processes, and Martingales', originally published by Wileys, Chichester, and now re-released by Cambridge University Press

Chris has participated in several Risk training courses, and has consulted for a number of clients in the financial services industry, including the Cambridge-based hedge fund Cantab Capital Partners.

Here is a list of publications

Downloadable papers


Advanced Financial Models

Stochastic Financial Models

Want to know more about financial data?

You'll find some useful information and some very illuminating worked examples at here.