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Personal profile

Research interests

Andreas Krause joined the Department of Economics in 2013 from the School of Management. He has graduated from the University of Fribourg (Switzerland) with a PhD in Economics.

He has research interests particularly in systemic of banking systems, where he focuses mainly on the network structure of interbank exposures and how failures of banks spread through such networks. The initial research in this area was supported by a British Academy grant. In general he is interested in heterogeneous agents interacting through networks and how such interactions shape aggregate outcomes, such as stock prices or analyst recommendations. Previous work has included an analysis of credit card markets using a network approach and questions of optimal market design. Overall he seeks to base his research on a sound theoretical basis, supplemented by empirical evidence as appropriate.

Andreas has recently consulted on the development of a risk-profiling system, supported by the EPSRC through a grant for EngD student.  

Research interests

  • Systemic Risk
  • Agent-based computational finance
  • Financial markets
  • Network theory

Willing to supervise PhD

I am happy to consider PhD students with a strong mathematical and/or computational background who are interested in conducting research in the area of systemic risk and agent-based computational finance.

I will consider students with research interests in financial markets on a case-by-case basis. 

Apply for a PhD

Fingerprint Dive into the research topics where Andreas Krause is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Trading rules Business & Economics
Payment card Business & Economics
Market structure Business & Economics
Agent-based model Business & Economics
Trading strategies Business & Economics
Multi-objective optimization Business & Economics
Lending Business & Economics
Bank failure Business & Economics

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

Projects 2009 2010

Research Output 2002 2018

73 Downloads (Pure)
Open Access
Computational techniques
Banking crisis
Bank failure
Market concentration

Equilibrium interbank lending networks

Xiao, D. & Krause, A., 2016, 2016 IEEE Congress on Evolutionary Computation (CEC). p. 4543-4550 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
Network equilibrium
Decision making
Network formation
3 Citations (Scopus)

The optimal timing of open market stock repurchases

Krause, A. & Hsu, C-C., 2016, In : Emerging Markets Finance and Trade. 52, 4, p. 776-785

Research output: Contribution to journalArticle

Optimal timing
Stock repurchases
Continuous time

Systemic Risk

Krause, A., 2015, Investment Risk Management. Baker, H. K. & Filbeck, G. (eds.). Oxford University Press, p. 179-196

Research output: Chapter in Book/Report/Conference proceedingChapter

67 Citations (Scopus)
230 Downloads (Pure)
Open Access
Systemic risk
Network model
Bank failure
Banking system


Bank Accounting Ratios, Interbank Lending, and Liquidity Hoarding During Financial Crisis 2007/08

Author: Huang, X., 22 Mar 2018

Supervisor: Zalewska, A. (Supervisor) & Krause, A. (Supervisor)

Student thesis: Doctoral ThesisPhD


Evolutionary mechanism design using agent-based models

Author: Li, X., 31 Jul 2012

Supervisor: Krause, A. (Supervisor)

Student thesis: Doctoral ThesisPhD


Identifying Systemic Risk in Interbank Markets by Applying Network Theory

Author: Xu, Z., 23 Apr 2016

Supervisor: Krause, A. (Supervisor) & Giansante, S. (Supervisor)

Student thesis: Doctoral ThesisPhD


The Development of a Market Risk Profiling System Employing Behavioural and Emotional Finance Approaches

Author: Alsharman, M., 13 Feb 2019

Supervisor: Krause, A. (Supervisor) & Fairchild, R. (Supervisor)

Student thesis: Doctoral ThesisDoctor of Engineering (EngD)


The Dynamic Model of Double Auction Market

Author: Li, H., 1 Sep 2009

Supervisor: Krause, A. (Supervisor)

Student thesis: Doctoral ThesisPhD