I joined Middlesex University Business School after working several years as a researcher and forecaster at the National Institute of Economic and Social Research (NIESR). I have worked on a wide range of topics in applied economics, such as exchange rate volatility, the impacts of the Basel Capital Accord in emerging markets, the development of macroeconomic measures of credit risk, the macroeconomic determinants of FDI. More recently, my work has focused on financial economics issues, such a the correlations of equity returns, the impact of Brexit on the equity returns in Europe and on asset pricing.
I have undertaken research projects for the Department for International Development (Dfid), and the BBVA Foundation, on credit risk. I have contributed to papers on fiscal and monetary policy, FDI and exchange rate uncertainty and published in the International Journal of Finance and Economics, Economic Modelling, Journal of Trade and Economic Development and the Journal of Economic Integration.
Qualifications
Various
My main teaching interest are asset pricing (Fixed-income analysis, Derivatives and Structured Products), econometrics, behavioural finance, and decision theory.
I have supervised several DPhil students, on interest rate risk, credit risk, population and environmental damage, institutional and corporate determinants of profit in global banking.
My research interests are in financial economics.
Selected Publications
"A closed-form formula for pricing bonds between coupon payments" (2018), Mathematical Finance Letters, Article ID 2, http://scik.org/index.php/mfl/article/view/3650 or ArXiv:1801.06028v1[q-fin-PR];
Barrell, Ray, Gottschalk, Sylvia, Orazgani, Ali and Kirby, S. (2009) Projections of migration inflows under alternative scenarios for the UK and world economies, Economics Paper 3, Communities and local Government, ISBN 9781409813125, (17 April 2009), https://webarchive.nationalarchives.gov.uk/20120919152652/http://www.communities.gov.uk/publications/communities/projectionsmigration and https://www.dora.dmu.ac.uk/handle/2086/17911
Conferences
Research project: Big Data and Visualising Liquidity (March-2017)
This project will involve designing a prototype fort for visualising data on liquidity and value of specific contracts in credit risk modelling. Using Brammertz’s (2013) ideas of liquidity in context of financial systemic risk, the project will create a “simple” visualisation that would capture the essential variables for monitoring systemic risk, and to use that to track and the data itself to provide a viewer with the information that allows them to anticipate possible market behaviours.
Leader: Sophie Cockcroft (Sophie@business.uq.edu.au),University of Queensland Business School
Co-investigators: William Wong (W.Wong@mdx.ac.uk), Middlesex University School of Science and Technology, Jens Gulden (J.Gulden@uni-due.de), and Sylvia Gottschalk (S.Gottschalk@mdx.ac.uk), Middlesex University Business School.
