Jing Wang

The University of Nottingham, Management Studies (BA); The Winner of the Risk Management Marsh Prize in 2005.


Room: C4/5 DB
Tel: +44 (0) 115 8231404
Email: lixjw13@nottingham.ac.uk

Current Status: Minor Corrections
Year of Registration: 2005
Expected Completion Date: /09/2011

Primary Funding Source:
Research Topic "modeling and measuring the distribution of risk aversion in the population"

Research Topic:
Modeling and measuring the distribution of risk aversion in the population

Research Details:
Being able to identify levels of risk aversion in a given population would be very useful for a number of reasons. For example, we might be able to develop a method of predicting insurance purchases; we could understand investment strategies more clearly; we would perhaps gain some insight into the propensity to gamble and participate in extreme sports; and it also will help the government to design the regulations about the tax based financial products, e.g. pensions & benefit. There will also have some implements on management of the unemployment (Feinberg, 1977; Diaz-Serrano and O' Neil, 2004).
The literature that shows heterogeneity also gives explanations of a sort. Many papers have related risk aversion to gender, age and other variables. However, there is also evidence that a person's degree of risk aversion changes over time, sometimes very quickly while explanatory variables like these remain constant. Therefore, this sort of explanation is not a fundamental explanation of an individual's degree of risk aversion at a specific point in time. A really fundamental explanation must explain why an individual's risk aversion changes over time and also why it is related to their gender, age and other variables.
CurrentTeaching: CurrentTeaching QM2A Tutorials, CEP Tutorials.

Research Supervisor/s: Robert Young and Isabel Cortes Jimenez

Division: Economics and Finance