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, behavioural finance, fixed-income and asset pricing, with a particular focus on computational finance and big data analysis.
I have undertaken research projects on credit risk for the Department for International Development (Dfid), and the BBVA Foundation. 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, Physica A, and the Journal of Economic Integration.
I have a PhD in economics from Sussex University and BSc in economics and in physics. I am a member of several learned societies, such as the Institute of Mathematics and Applications (IMA), the London Mathematical Society (LMS) and the Institute of Physics (IoP), and their European associates, where I participate in initiatives linking mathematics and physics to economics and finance.
Applications for PhD in the areas of asset pricing, credit risk modelling, computational finance and financial economics as broad areas, are welcome. I am an associate editor of the journals Beta-Scandinavian Journal of Business Research (https://www.idunn.no/beta?languageId=2#/about) , and SN Business and Economics (https://www.springer.com/journal/43546)
My main teaching interests are fixed-income analysis, derivatives and structured products, financial econometrics, behavioural finance, and decision theory.
I have supervised several DPhil students, on interest rate risk, credit risk, population and environmental damage, and on the interaction of institutional, macroeconomic and corporate determinants of profit in global banking.
Modules taught:
FIN1350 Decision theory; FIN2150 Securities and Derivatives; FIN3170 Applied Financial Econometrics.
My research interests are in financial economics and quantitative finance.
Selected Publications
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
Gottschalk, Sylvia (2023) International financial regulation of cryptoassets and asset-backed tokens. In: Fintech, Pandemic, and the Financial System: Challenges and Opportunities. Kim, Suk-Joong , ed. International Finance Review, 22 . Emerald Publishing Limited, pp. 145-181. ISBN 9781802629484
Gottschalk, Sylvia (2022) Digital currency price formation: a production cost perspective. Quantitative Finance and Economics . ISSN 2573-0134 (Accepted/In press)
Gottschalk, Sylvia and Ndang, Bertrand (2022) Institutional and geopolitical aspects of bond spreads impacts on corporate capital structure in emerging markets. Global Business and Economics Review . ISSN 1097-4954 (Accepted/In press)
Owen, Robyn and Lyon, Fergus and Vickers, Ian and Gottschalk, Sylvia (2021) Social Enterprise: Market Trends 2019. Technical Report. DCMS, London.
Gottschalk, Sylvia (2021) From Black Wednesday to Brexit: macroeconomic shocks and correlations of equity returns in France, Germany, Italy, Spain, and the United Kingdom. International Journal of Finance & Economics . ISSN 1076-9307 (Published online first)
Conferences
Research grant: What made Canadian banks so resilient during the 2008 Crisis? (RFF/BAC&GOT/2/2018-19 - June-October 2019)
This project aims to identify the qualitative and quantitative factors that allowed Canadian banks to weather the last financial crisis better than their North American and European peers.
Co-investigator: Dr Edward Bace.
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.
Associate Editor - Beta-Scandinavian Journal of Business Research (https://www.idunn.no/beta?languageId=2#/about)
Associate Editor – SN Business and Economics (https://www.springer.com/journal/43546)
