Dr Kai-Hong Tee


  • Senior Lecturer in Finance

Expertise: asymmetric risk estimation; efficiency of fundsÕ performance; derivatives securities

Research groups and centres

Kai-Hong graduated from the National University of Singapore with a BA in Economics and General Mathematics.

He has previously worked in the Property Investment Marketing/Consultancy profession and has had experiences in dealing with Singaporean and international properties in China and Australia, in both the residential and commercial sectors. Kai-Hong also has a MBA (with distinction) in Finance from Leeds and a PhD (finance) from Heriot-Watt University in Edinburgh.

Kai-Hong has also worked previously in Glasgow Caledonian University as a Research Fellow and University of Aberdeen as a Lecturer in Finance.

I specialized in the research of financial investment risk. My research covers both the theoretical and empirical perspectives. My first published article, which addresses downside risk issues for UK investors that are faced with portfolios included with managed futures funds, begins my research into the area of risk valuation/assessment. This article also shows how the commonly used Value-at-Risk (VaR) is inefficient in incorporating risk tolerance input, when using as a criterion to make investment decision. This naturally has implication on addressing the needs of clients while assessing the risk of their investments and was cited by Ovvo Financial Systems in a company document (available on request). Subsequently, I stepped up on the complexity and depth of my research using risk measures alternative to VaR, such as the Conditional VaR (CVaR). I applied the CVaR measure as input to rank hedge funds, which I took a theoretical perspective in modelling the ranking methdology. I incorporated CVaR into the Data Envelopment Analysis (DEA) framework for ranking purpose. The framework was also further extended to include the statistical property in the process of the ranking so as to enhance the reliability of the findings. The outcome of this research has led to two published papers in the European Journal of Operational Research (EJOR).

I also published research that addresses empirical issues in finance such as the potential risk issues and effects following the 2008 credit crisis. This includes a topic, which uses correlation risk as a theme to explore the effect of contagion, following news release and announcement on banks’ collapse and bail-out, among stock markets. I also actively work with PhD students to produce research outputs. This includes a PhD topic about the phenomenon of liquidity risk in the post-2008 crisis period. This topic, which is based on asset pricing model, investigates hedge fund managers' ability to forecast market liquidity condition changes in managing exposure and to what extent this explains hedge funds’ returns. An article written on this topic and focused on debt-oriented hedge fund is forthcoming in European Financial Management for 2016.

My research was also listed on the Chicago Mercantile Exchange website as a reference material for potential investors.

I aim for my research to provide different levels of impact and I am constantly seeking opportunities to engage my research with the industry. I base my approach on my published work in EJOR. I believe the skill sets underlying this research with collaborator is able to support modeling optimization and risk appraisal of investment to provide additional performance analytics to investors. At the moment, this idea is supported by Loughborough University's enterprise office and has already attracted interest where we had held talk with and we are working on more.

If you have any enquiries or are interested to get involved in my research, either as a research student or any application to help in your professional work, please get in touch.