Dr Jiadong Liu
Senior Lecturer in Finance
Queen's Business School
Riddel Hall, 185 Stranmillis Road
BT9 5EE, Belfast, UK
Email: liu.jiadong [@] qub.ac.uk
I am a Senior Lecturer in Finance at Queen's Business School. My research interests are in factor investing, empirical asset pricing in stock and futures markets, currency market anomalies, and climate finance. I serve as a council member of the Irish Academy of Finance. I also take the role of Finance PGR Coordinator at Queen's Business School organising and delivering training for our PhD students.
I only consider PhD applicants with excellent quantitative skills who are strong with coding (R, Python, etc). I do not accept research proposals in corporate finance/governance.
Publications (selected):
Momentum and the Cross-section of Stock Volatility, Journal of Economic Dynamics & Control, 2022, with M. Fan, F. Kearney and Y. Li. [SSRN]
Semifinalist in the Best Paper Awards (Category: Investments), FMA 2020
A Reexamination of Factor Momentum: How Strong is It?, Financial Review, 2022, with M. Fan, Y, Li and M. Liao. [SSRN]
Media: Quantpedia.com
Time Series Reversal in Trend-following Strategies, European Financial Management, 2023, with F. Papailias. [SSRN]
Return Signal Momentum, Journal of Banking & Finance, 2021, with F. Papailias and D. D. Thomakos. [SSRN]
Working Papers:
Optimising Currency Factors, with M. Fan, F. Kearney and Y. Li.
FMA Europe 2024, FMA Asia/Pacific 2024, Irish Academy of Finance 2024, CES 2024
'MHT-hacking': Implementing Multiple Hypothesis Tests in FX markets, with M. Fan, F. Kearney and Y. Li.
FMA Europe 2023, FMA Europe 2022, BAFA 2022, XJTLU AI and Big Data Research
Decomposing Basis-Momentum in Currency Market, with M. Fan, X. Han and A. Li
EFMA 2023, BAFA 2022, SWUFE SoF, Irish Academy of Finance 2024, CES 2023
Work in Progress:
Financial Market Reaction to Environmental Policies and Extreme Weather Events, with Fearghal Kearney and Caterina Santi
Media, Momentum and the UK Stock Market, with Gareth Campbell, Ran Tao and Clive Walker
BA/Leverhulme Small Research Grants SRG2022 awarded (£9,994)