Peter Deeney
Dr

Peter Deeney is an Assistant Professor in Financial Analytics. He is writing the FinTech and Financial Innovation online course for DCU Business School. This is done together with his colleagues Prof Mark Cummins and Dr Pierangelo Rosati.
Peter holds a PhD in quantitative finance from DCU examining the effects of sentiment in professionally traded markets, specifically the oil and EU emissions futures markets.Peter’s research interests include carbon finance, sentiment analysis, data breaches and behavioural finance.
His previous research was to use real options analysis to investigate the use of carbon dioxide as a raw material. This was funded by the Irish Research Council and was directed by Prof Mark Cummins (DCUBS) and Dr Mary Pryce (School of Chemistry, DCU); in this project he worked with Dr Katharina Heintz of the School of Chemistry, DCU.
Peter has taught Applied Econometrics on the MSc in Investment, Treasury and Banking (MITB), having previously taught Carbon Finance on the MITB.
Peter has published on the topics of sentiment in oil markets (International Review of Financial Analysis), sentiment in the EU emissions market (Energy Policy), data breaches (International Review of Financial Analysis and Research in International Business and Finance) and Energy Finance (Renewable and Sustainable Energy Review). He has reviewed papers for Applied Energy, Applied Sciences, Behavioural and Experimental Finance, Energy Policy and Sustainability.He has previously worked as a researcher for the Irish Centre for Cloud Computing and Commerce (IC4) and the Environmental Research Institute, UCC. Before that he worked as a maths lecturer and tutor in DCU.
Peter holds a PhD in quantitative finance from DCU examining the effects of sentiment in professionally traded markets, specifically the oil and EU emissions futures markets.Peter’s research interests include carbon finance, sentiment analysis, data breaches and behavioural finance.
His previous research was to use real options analysis to investigate the use of carbon dioxide as a raw material. This was funded by the Irish Research Council and was directed by Prof Mark Cummins (DCUBS) and Dr Mary Pryce (School of Chemistry, DCU); in this project he worked with Dr Katharina Heintz of the School of Chemistry, DCU.
Peter has taught Applied Econometrics on the MSc in Investment, Treasury and Banking (MITB), having previously taught Carbon Finance on the MITB.
Peter has published on the topics of sentiment in oil markets (International Review of Financial Analysis), sentiment in the EU emissions market (Energy Policy), data breaches (International Review of Financial Analysis and Research in International Business and Finance) and Energy Finance (Renewable and Sustainable Energy Review). He has reviewed papers for Applied Energy, Applied Sciences, Behavioural and Experimental Finance, Energy Policy and Sustainability.He has previously worked as a researcher for the Irish Centre for Cloud Computing and Commerce (IC4) and the Environmental Research Institute, UCC. Before that he worked as a maths lecturer and tutor in DCU.
Peer Reviewed Journal
Year | Publication | |
---|---|---|
2019 | Pierangelo Rosati, Peter Deeney, Mark Cummins, Lisa van der Werff, Theo Lynn (2019) 'Social media and stock price reaction to data breach announcements: Evidence from US listed companies'. Research in International Business and Finance, 47 :458-469. Link | |
2017 | Rosati, P;Cummins, M;Deeney, P;Gogolin, F;van der Werff, L;Lynn, T (2017) 'The effect of data breach announcements beyond the stock price: Empirical evidence on market activity'. International Review of Financial Analysis, 49 :146-154. | |
2015 | Deeney P, Cummins M, Dowling M, Bermingham A. (2015) 'Sentiment in oil markets'. International Review of Financial Analysis, 39 :179-185. |
Certain data included herein are derived from the © Web of Science (2021) of Clarivate. All rights reserved.
Research Interests
Emissions and Energy Markets, Market Sentiment, Behavioural Finance, Carbon Finance, Twitter Sentiment
Teaching Interests
Carbon Finance, Econometrics, Statistics, Finance