BSc (Univ. of London), MPhil (Univ. of Cambridge)
Year of entry
The Limits of Traditional Risk Management - Novel Strategies for Managing Risk and Uncertainty
George Hylden is a PhD candidate at Cambridge Judge Business School, University of Cambridge. He also currently serves as PhD representative at Cambridge Judge Business School and is an honorary scholar of the Cambridge European Trust. His PhD research is funded by the United Kingdom Economic and Social Research Council (UKESRC). George is the initiator and organiser of a conference to mark the occasion of the 800th anniversary of the University of Cambridge in 2009. The conference revolves around the notion of the "Cambridge Spirit" and aims to bring together business academics and practitioners from Cambridge, United Kingdom, and Cambridge, Massachusetts. George speaks English, German, Dutch, French and Spanish, has advanced proficiency in Norwegian and also regularly consults literature in Portuguese, Italian, Danish and Swedish.
George's research interests are interdisciplinary and cover operations research/management science, economics/finance and strategy. His PhD research focuses on deriving novel strategies for risk management and uncertainty management, in particular under conditions of high complexity and dynamics. Although the study is strongly quantitative in flavour and draws on a combination of analytical, numerical and empirical approaches, it is supposed to yield readily implementable qualitative decision rules. The research first seeks to answer the question to what extent past failures are due to defective risk management or a disregard for uncertainty management. It then aims to develop a set of robust decision rules for both risk management and uncertainty management. To this end, the research produces generic models which equally apply to managing risk and uncertainty in (a) the commercialisation of science, in particular venture capital, and (b) finance, in particular over-the-counter derivatives. In a first step, the models help derive descriptive hypotheses by analysing recent phenomena such as (a) the dotcom bust and (b) the subprime crisis. In a second step, the models assist in developing prescriptive decision rules for successful risk management and uncertainty management in both areas.
Cambridge Judge Business School
University of Cambridge
Cambridge CB2 1AG