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Home > Research > Andreas Joseph
 

Andreas Joseph

​Research Economist - Advanced Analytics Division ​

Andreas Joseph
Andreas graduated from the University of Munich in 2011, specialising in theoretical physics. In 2014, Andreas obtained his PhD from City University of Hong Kong (Centre for Chaos and Complex Networks). His research is dedicated to integrating novel methods like network theory, non-linear dynamics, agent-based modelling and computational methods and data analytics into macroeconomics and policy analysis. Research interests: micro-to-macro, macro-finance, financial stability, international trade and macroeconomic theory and history.
Email Andreas | Andreas Joseph at IDEAS

Selected Academic Publications

Compendium on the diagnostic toolkit for competitiveness
with G Aiello, K Benkovskis, B Bluhm, E Bobeica, F Cavallini, S Christodoulopoulou, M De Clercq, C Giordano, P Karadeloglou, A Leonte, K Lommatzsch, P Lopez-Garcia, G Momchilov, C Osbat, L Orszaghova, F Pappadà, E Prades Illanes, M Silgoner, O Tkacevs, R Vermeulen, J and F Zollino, ECB, Occasional Paper Series (2015)
Interactions between financial and environmental networks in OECD countries
with F Ruzzenenti, E Ticci, P Vozzella and G Gabbi, PLOS One (2015)
Cross-border Portfolio Investment Networks and Indicators for Financial Crises
with S Joseph and G Chen, Nature Scientific Reports (2014)
Netconomics: Novel Forecasting Techniques from the Combination of Big Data, Network Science and Economics
with I Vodenska, E Stanley and G Chen, arXiv preprint arXiv:1403.0848 (2014)
Network Centrality and Key Economic Indicators: A Case Study
with G Chen, Springer International Publishing, Network Models in Economics and Finance (2014)
​Composite centrality: A natural scale for complex evolving networks 
with G Chen, PhysiPhysica D: Nonlinear Phenomena (2014)

​Bank Underground blog posts

Big Data jigsaws for Central Banks – the impact of the Swiss franc de-pegging
April 2017