Alex Cox

Alexander Cox is interested in questions arising in Probability and their applications in Mathematical Finance. Of particular interest are questions which relate to robustness and model-independence when considering the pricing and hedging of financial derivative contracts. These questions often rely naturally on the classical tools of applied probability, including optimal control, optimal stopping and optimal Skorokhod embedding, and the novel field of optimal martingale transport, and he is also interested in the theory underlying these topics. A key tool is often the close study of Brownian motion, and related Markov processes. As well as applications to robust hedging in finance, he has worked on understanding a mathematical theory of financial bubbles, with reference to option pricing, and he has made important contributions in this field.

More information can be found on his personal webpage.