John Fry is Senior Lecturer in Applied Mathematics having previously worked at a number of different business schools and mathematics departments in the UK.
John has a PhD in Mathematical Finance (Econophysics) from the University of Sheffield, an MSc in Statistics from the University of Sheffield and a BSc in Mathematics and Statistics from the University of Newcastle-upon-Tyne. John has research interests spanning econophysics, mathematical finance, operations research, statistics and sports modelling.
Some of John's past work modelling Bitcoin markets has been very highly cited. John jointly won the Tom Fetherstone prize in 2019 for the best paper published in International Review of Financial Analysis in 2016.
John is available to supervise PhD students across applied mathematical finance, finance, sports modelling or business applications of mathematics and statistics.
Voting intentions on social media and political opinion polls
Pekar, V., Najafi, H., Binner, J., Swanson, R., Rickard, C., & Fry, J. (in press). Voting intentions on social media and political opinion polls. Government information quarterly, Article 101658. https://doi.org/10.1016/j.giq.2021.101658
Automated data processing of bank statements for cash balance forecasting
Griguta, V., Gerber, L., Slater-Petty, H., Crockett, K., & Fry, J. (2021). Automated data processing of bank statements for cash balance forecasting. Lecture Notes in Networks and Systems, 284, 49-64. https://doi.org/10.1007/978-3-030-80126-7_5
Modelling corporate bank accounts
Fry, J., Griguta, V., Gerber, L., Slater-Petty, H., & Crockett, K. (2021). Modelling corporate bank accounts. Economics letters, 205, https://doi.org/10.1016/j.econlet.2021.109924