Picture of fish in sea

Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

Explore some of the Open Access research from Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Jump to: 2012 | 2011 | 2008 | 2004
Number of items: 5.

2012

Marshall, Andrew and McColgan, Patrick and McLeish, Susan (2012) Why do stock prices decline in response to employee layoffs? U.K. evidence from the 2008 global financial crisis. Journal of Financial Research, 35 (3). pp. 375-396. ISSN 0270-2592

Do, B and Faff, Robert (2012) Are pairs trading profits robust to trading costs? Journal of Financial Research, 35 (2). pp. 261-287. ISSN 0270-2592

2011

Chan, Howard and Faff, Robert and Hill, Paula and Scheule, Harald (2011) Are watch procedures a critical informational event in the credit ratings process? : an empirical investigation. Journal of Financial Research, 34 (4). pp. 617-640. ISSN 0270-2592

2008

Faff, Robert and Mulino, D and Chai, D (2008) On the linkage between financial risk tolerance and risk aversion. Journal of Financial Research, 31 (1). pp. 1-23. ISSN 0270-2592

2004

Fletcher, Jonathan and Forbes, David N. (2004) Performance evaluation of UK unit trusts within the stochastic discount framework. Journal of Financial Research, 27 (2). pp. 289-306. ISSN 0270-2592

This list was generated on Fri Jul 3 04:12:38 2020 BST.