Contact
- +44 (0)20 7040 5060
- soon.leong@cass.city.ac.uk
Visit Soon Leong
Bunhill Row
Postal address
106 Bunhill Row
London
EC1Y 8TZ
United Kingdom
About
Overview
Soon Heng Leong is a PhD candidate at Cass Business School, City, University of London. He is associated with the Centre for Econometric Analysis under the sponsorship of “PhD Studentship in Memory of Ana Timberlake 2017/2021”. The scholarship involves teaching assistance within Timberlake training courses at Cass Business School, European Banking Authority, European Central Bank, the University of Cambridge and the University of Oxford. His current research interest is on modelling and testing systemic risk with applications in the banking and insurance sectors including shadow activities.
Soon is also a competitive badminton player and he actively represents the university in various tournaments. Prior to joining Cass, he was employed by WSP as a structural design engineer in Singapore.
Qualifications
- MEng, University of Bradford, UK
- MSc, Cass Business School, UK
Research
1st supervisor
- Professor Giovanni Urga, Professor of Finance & Econometrics & Director of the Centre for Econometric Analysis
Professional activities
Events/conferences (5)
- Conference on Systemic Risk, Banking and Insurance, and the Role of their Shadow Entities. (Conference) London, UK (2019).
Paper: The Contribution of Shadow Insurance to Systemic Risk
Author: Leong, S.
Co-authors: Bellavite Pellegrini, C.; Urga, G. - The 22nd Dynamic Econometrics Conference. (Conference) Oxford, UK (2019).
Paper: A Nonparametric Test for Multivariate Granger Causality in Variance
Author: Leong, S.
Co-authors: Urga, G. - The 31st Asian Finance Association Annual Meeting. (Conference) Ho Chi Minh, Vietnam (2019). Session/Day Chair.
Paper: The Contribution of Shadow Insurance to Systemic Risk
Author: Leong, S.
Co-authors: Bellavite Pellegrini, C.; Urga, G. - The 6th Young Finance Scholars’ Conference. (Conference) Sussex, UK (2019).
Paper: A Nonparametric Test for Multivariate Granger Causality in Variance
Author: Leong, S.
Co-authors: Urga, G.
Description: Winner of the Special Commendation Paper Award. - The 20th Oxmetrics User Conference. (Conference) London, UK (2018). Organising Committee.