- Essays in financial and monetary economics (2011)
- This thesis consist of three chapters of which each investigates a topic from financial and monetary economics. In the first chapter a novel method to analyze the monetary policy of central banks is presented. In the second chapter (joint work with Professor Michael Binder, Goethe-University Frankfurt) the effects of conditional loan programs of the International Monetary Fund (IMF) on participating countries' output growth are investigated. In the third chapter (joint work with Professor Jan Pieter Krahnen, Goethe-University Frankfurt) a network model of interconnected bank balance sheets which gives rise to systemic risk is developed and used to analyze the implications of a bank levy related to banks' contribution to systemic risk. All three chapters give important insights to the policy design of macroeconomic institutions such as central banks, the IMF, and agencies charged with macroprudential supervision.
- Investigating the monetary policy of central banks with assessment indicators (2011)
- This paper outlines a new method for using qualitative information to analyze the monetary policy strategy of central banks. Quantitative assessment indicators that are extracted from a central bank's public statements via the balance statistic approach are employed to estimate a Taylor-type rule. This procedure allows to directly capture a policymaker's assessments of macroeconomic variables that are relevant for its decision making process. As an application of the proposed method the monetary policy of the Bundesbank is re-investigated with a new dataset. One distinctive feature of the Bundesbank's strategy consisted of targeting growth in monetary aggregates. The analysis using the proposed method provides evidence that the Bundesbank indeed took into consideration monetary aggregates but also real economic activity and inflation developments in its monetary policy strategy since 1975. JEL Classification: E52, E58, N14 Keywords: Monetary Policy Rule, Statement Indicators, Bundesbank, Monetary Targeting
- Endogenous banks' networks, cascades and systemic risk (2013)
- We develop a dynamic network model whose links are governed by banks' optmizing decisions and by an endogenous tâtonnement market adjustment. Banks in our model can default and engage in firesales: risk is transmitted through direct and cascading counterparty defaults as well as through indirect pecuniary externalities triggered by firesales. We use the model to assess the evolution of the network configuration under various prudential policy regimes, to measure banks' contribution to systemic risk (through Shapley values) in response to shocks and to analyze the effects of systemic risk charges. We complement the analysis by introducing the possibility of central bank liquidity provision.
- Default risk in an interconnected banking system with endogeneous asset markets (2011)
- This paper analyzes the emergence of systemic risk in a network model of interconnected bank balance sheets. Given a shock to asset values of one or several banks, systemic risk in the form of multiple bank defaults depends on the strength of balance sheets and asset market liquidity. The price of bank assets on the secondary market is endogenous in the model, thereby relating funding liquidity to expected solvency - an important stylized fact of banking crises. Based on the concept of a system value at risk, Shapley values are used to define the systemic risk charge levied upon individual banks. Using a parallelized simulated annealing algorithm the properties of an optimal charge are derived. Among other things we find that there is not necessarily a correspondence between a bank's contribution to systemic risk - which determines its risk charge - and the capital that is optimally injected into it to make the financial system more resilient to systemic risk. The analysis has policy implications for the design of optimal bank levies. JEL Classification: G01, G18, G33 Keywords: Systemic Risk, Systemic Risk Charge, Systemic Risk Fund, Macroprudential Supervision, Shapley Value, Financial Network