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Dr Vu Tran

Lecturer in Finance

Vu Tran

Specialisms

Dr Vu Tran is a Lecturer in Finance at the ICMA Centre. He joined the ICMA Centre, Henley Business School in January 2020. Previously, Dr Vu worked for Swansea University, Bangor University and financial regulatory bodies. He holds a PhD in Finance (Bangor University), and his main research interests are in credit risk, credit ratings, market efficiency, social networks and social media.

Dr Vu has published in internationally recognised academic journals, including European Financial Management, European Journal of Finance, International Review of Financial Analysis, Review of Quantitative Finance and Accounting. Some of his research have appeared in recent press and media coverage such as the Telegraph, BBC radio, Les Échos, Shareprices.com. Dr Vu regularly presents at leading international conferences such as the Financial Management Association, INFINITI and Royal Economic Society conferences.

Reference: Fan, R., Talavera, O. and Tran, V. (2020) Social media, political uncertainty, and the stock market. Review of Quantitative Finance and Accounting. ISSN 1573-7179 doi: https://doi.org/10.1007/s11156-020-00870-4
Reference: Fan, R., Talavera, O. and Tran, V. (2020) Social media bots and stock markets. European Financial Management, 26 (3). pp. 753-777. ISSN 1468-036X doi: https://doi.org/10.1111/eufm.12245
Reference: Tran, V. , Alsakka, R. and ap Gwilym, O. (2019) Investors’ heterogeneous beliefs and the impact of sovereign credit ratings in foreign exchange and equity markets. European Journal of Finance, 25 (13). pp. 1211-1233. ISSN 1466-4364 doi: https://doi.org/10.1080/1351847X.2019.1586743
Reference: Alsakka, R., ap Gwilym, O., Klusak, P. and Tran, V. (2015) Market impact under a new regulatory regime: Credit rating agencies in Europe. Economic Notes, 44 (2). pp. 275-308. ISSN 1468-0300 doi: https://doi.org/10.1111/ecno.12039
Reference: Tran, V. , Alsakka, R. and ap Gwilym, O. (2014) Sovereign rating actions and the implied volatility of stock index options. International Review of Financial Analysis, 34. pp. 101-113. ISSN 1057-5219 doi: https://doi.org/10.1016/j.irfa.2014.05.010