Center for Risk and Insurance at Leibniz University of Hannover, Hannover, Germany,
Lower Saxony, Germany
Guidelines for Submission
Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.
Papers should be formatted according to the guidelines for authors (see: http://www.sciencepublishinggroup.com/journal/guideforauthors?journalid=147). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.
Quantitative and computational methods have become increasingly important in monetary and financial economics. Financial risk managers, for example, today use techniques from mathematics and physics to improve their ability to measure and control financial risks in the economy. The financial crisis also has shown that monetary policy does matter in this context. Numerous central banks all around the world have used the tools of monetary policy to enhance liquidity and thereby rescue financial service institutions (e.g., banks and insurers). Consequently, financial and monetary economics have to be discussed using an integrated point of view. This special issue tries to summarize important relevant ideas and to develop new concepts focusing on quantitative and computational techniques in financial and monetary economics.
Main topic areas
1. Asset pricing and Computational Finance 2. Business Cycle Modeling 3. Physical Methods in Economics 4. Modeling Financial Crises 5. Inflation Dynamics 6. Learning and Evolutionary Economics 7. Market Structure 8. Monetary Policy 9. Monte Carlo Methods 10. Optimization and Solution Methods 11. Time Series Econometrics and Analysis 12. Volatility Modeling 13. Financial Risk Management