An aerial view of Bay Campus, with the sea stretching into the horizon.

Dr Boru Ren

Lecturer in Finance

Accounting and Finance

boru.ren@swansea.ac.uk

Office 208 - 208
Second Floor
School of Management
Bay Campus

Available For Postgraduate Supervision

Research Links

https://orcid.org/0000-0001-8647-9689

ResearchGate

Google Scholar

About

Boru Ren joined the Swansea University as a Lecturer (Assistant Professor) in Finance in September 2023, after earning a Ph.D. in Finance from Trinity Business School, Trinity College Dublin (The University of Dublin) in Ireland. Dr. Ren holds a M.Com. in Finance and Quantitative Finance from the University of Sydney and a B.Sc. in Chemical Systems from the University of Melbourne in Australia.

Areas Of Expertise

Textual analysis
Sentiment analysis
Spillover effects
Herd behaviour
Price forecasting
Applied machine learning

Publications

Research Highlights

Ren, B. & Lucey, B. (2023). Herding in the Chinese renewable energy market: Evidence from a bootstrapping time-varying coefficient autoregressive model. Energy Economics, 119, 106526
https://doi.org/10.1016/j.eneco.2023.106526, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64718
http://dx.doi.org/10.1016/j.eneco.2023.106526
Lucey, B. & Ren, B. (2023). Time-varying tail risk connectedness among sustainability-related products and fossil energy investments. Energy Economics, 126, 106812
https://doi.org/10.1016/j.eneco.2023.106812, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64720
http://dx.doi.org/10.1016/j.eneco.2023.106812
Ren, B. & Lucey, B. (2022). A clean, green haven?—Examining the relationship between clean energy, clean and dirty cryptocurrencies. Energy Economics, 109, 105951
https://doi.org/10.1016/j.eneco.2022.105951, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64714
http://dx.doi.org/10.1016/j.eneco.2022.105951
Ren, B. & Lucey, B. (2022). Do clean and dirty cryptocurrency markets herd differently?. Finance Research Letters, 47, 102795
https://doi.org/10.1016/j.frl.2022.102795, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64717
http://dx.doi.org/10.1016/j.frl.2022.102795
Lucey, B. & Ren, B. (2021). Does news tone help forecast oil?. Economic Modelling, 104, 105635
https://doi.org/10.1016/j.econmod.2021.105635, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64715
http://dx.doi.org/10.1016/j.econmod.2021.105635

All Research

Journal Articles

Ren, B., Lucey, B., & Luo, Q. (2023). An examination of green bonds as a hedge and safe haven for international equity markets. Global Finance Journal, 58, 100894
https://doi.org/10.1016/j.gfj.2023.100894, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64719
http://dx.doi.org/10.1016/j.gfj.2023.100894
Lucey, B. & Ren, B. (2023). Time-varying tail risk connectedness among sustainability-related products and fossil energy investments. Energy Economics, 126, 106812
https://doi.org/10.1016/j.eneco.2023.106812, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64720
http://dx.doi.org/10.1016/j.eneco.2023.106812
Ren, B. & Lucey, B. (2023). Herding in the Chinese renewable energy market: Evidence from a bootstrapping time-varying coefficient autoregressive model. Energy Economics, 119, 106526
https://doi.org/10.1016/j.eneco.2023.106526, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64718
http://dx.doi.org/10.1016/j.eneco.2023.106526
Ren, B. & Lucey, B. (2022). Do clean and dirty cryptocurrency markets herd differently?. Finance Research Letters, 47, 102795
https://doi.org/10.1016/j.frl.2022.102795, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64717
http://dx.doi.org/10.1016/j.frl.2022.102795
Ren, B. & Lucey, B. (2022). A clean, green haven?—Examining the relationship between clean energy, clean and dirty cryptocurrencies. Energy Economics, 109, 105951
https://doi.org/10.1016/j.eneco.2022.105951, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64714
http://dx.doi.org/10.1016/j.eneco.2022.105951
Lucey, B. & Ren, B. (2021). Does news tone help forecast oil?. Economic Modelling, 104, 105635
https://doi.org/10.1016/j.econmod.2021.105635, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64715
http://dx.doi.org/10.1016/j.econmod.2021.105635

Taught Modules

MN-3002 Financial Market Efficiency

The module is designed to develop an awareness of the hypothesis of financial market efficiency and the challenges to this hypothesis from behavioural finance.