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Personal profile

Research interests

Market Microstructure, Financial Econometrics 

Scholarly biography

Andros Gregoriou joined Brighton Business School in 2014 as a Professor of Finance. Professor Gregoriou has held senior academic positions at various universities including the University of Hull, Brunel University and the University of East Anglia. A world leading authority in finance, Professor Gregoriou has published extensively in leading finance journals, has generated a vast mount of research income and supervised numerous PhD students to completion. 


Supervisory Interests

Professor Gregoriou is keen to supervise PhD students in the following research areas. 

Market Microstructure. 

Stock Marlet Liquidity. 

Financial Stability. 

Financial Econometrics. 

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2013 2019

A Longitudinal Analysis of Disability-Related Interpersonal Violence and Some Implications for Violence Prevention Work

Liasidou, A. & Gregoriou, A., 2 May 2019, p. 1-19 19 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
empirical research

Accruals quality and the cost of debt: The European evidence

Gregoriou, A., Eliwa, Y. & Patterson, A., 6 Mar 2018, (Accepted/In press)

Research output: Contribution to journalArticleResearchpeer-review

Open Access

Carbon Markets: Microstructure, Pricing and Policy

Ibikunle, G. & Gregoriou, A., 1 Mar 2018, London. 236 p.

Research output: Book/ReportBook - authoredResearch

Cryptocurrencies and asset pricing

Gregoriou, A., 27 Sep 2018

Research output: Contribution to journalArticleResearchpeer-review

Does size matter in predicting hedge funds’ liquidation?

Becam, A., Gregoriou, A. & Gupta, J., 8 Feb 2018

Research output: Contribution to journalArticleResearchpeer-review

Hedge funds
Prediction model