In this paper, we document the forecasting performance of estimated basic dynamic stochastic general equilibrium (DSGE) models and compare this to extended versions which consider alternative expectation formation assumptions and financial frictions. We also show how standard model features, such as price and wage rigidities, contribute to forecasting performance. It turns out that neither alternative expectation formation behaviour nor financial frictions can systematically increase the forecasting performance of basic DSGE models. Financial frictions improve forecasts only during periods of financial crises. However, traditional price and wage rigidities systematically help to increase the forecasting performance.

This paper shows that global banks transmit liquidity shocks via their network of foreign affiliates. We use the (unexpected) access of German banks' affiliates located in the United States to the Federal Reserve's Term Auction Facility. We condition on the parent banks' U.S. dollar funding needs in order to examine how affiliates located outside the United States adjusted their balance sheets when the U.S. affiliate of the same parent tapped into TAF liquidity. Our research has three main findings. First, affiliates tied to parents with higher U.S. dollar funding needs expanded their foreign assets during periods of active TAF borrowing. Second, the overall effects are driven by affiliates located in financial centers. Third, U.S.- dollar-denominated lending particularly increased in response to the TAF program.

Since the global financial crisis, monetary economics new questions include the explanation and response to unusual consumer price developments but also the interdependencies between financial markets and real economic activity and its implication for the monetary policy transmission mechanism. This dissertation investigates these questions by presenting empirical evidence that accounts for non-linearities of the relevant economic relations. The first and second chapters examine inflation dynamics of the Euro area and ASEAN-5 economies using non-linear Phillips curve models. The results suggest that changes in inflation processes are mainly driven by the development of long-term inflation expectations. The third chapter investigates the evolution of the financial accelerator (FA) taking into account the developments of the financial sector. The results of a time-varying structural vector autoregressive model indicate that the FA effect for the USA has increased from the early 1990s.

Since the global financial crisis, economic literature has highlighted banks’ inclination to bolster up their liquid asset positions once the aggregate interbank funding market experiences a dry-up. To this regard, we show that liquidity hoarding and its detrimental effects on credit can also be triggered by idiosyncratic, i.e. bankspecific, interbank funding shocks with implications for monetary policy. Combining a unique data set of the Brazilian banking sector with a novel identification strategy enables us to overcome previous limitations for studying this phenomenon as a bankspecific event. This strategy further helps us to analyse how disruptions in the bank headquarters’ interbank market can lead to liquidity and lending adjustments at the regional bank branch level. From the perspective of the policy maker, understanding this market-to-market spillover effect is important as local bank branch markets are characterised by market concentration and relationship lending.

The role of the financial system to absorb and to intermediate commodity boom induced windfall gains efficiently presents one of the most pressing issues for developing economies. Using an exogenous increase in iron ore prices in March 2005, I analyse the role of regional bank branch networks in Brazil in reallocating capital from affected to non-affected regions. For the period from March 2004 to March 2006, I find that branches directly exposed to this shock by their geographical location experience an increase in deposit growth in the post-shock period relative to non-affected branches. Given that these deposits are not reinvested locally, I further show that branches located in the non-affected region increase lending growth depending on their indirect exposure to the booming regions via their branch network. Even tough, these results provide evidence against a Dutch Disease type crowding out of the non-iron ore sector, further evidence suggests that this capital reallocation is far from being optimal.

We examine the effect of finance on long-term economic growth using Bayesian model averaging to address model uncertainty in cross-country growth regressions. The literature largely focuses on financial indicators that assess the financial depth of banks and stock markets. We examine these indicators jointly with newly developed indicators that assess the stability and efficiency of financial markets. Once we subject the finance-growth regressions to model uncertainty, our results suggest that commonly used indicators of financial development are not robustly related to long-term growth. However, the findings from our global sample indicate that one newly developed indicator—the efficiency of financial intermediaries—is robustly related to long-term growth.

• The world economy is booming. The global upswing is investment-driven, and since investment goods usually have a large import content, it is no surprise that world trade has been buoyant during winter. The very expansionary US fiscal policy (tax reform and lifting of spending caps) could give an additional shortterm stimulus for the world economy. • However, we forecast world trade to slow down during 2018. The US administration’s announcement of high tariffs on steel and aluminium comes close to triggering a spiral into a broader trade conflict. Moreover, the globalization of value chains has been slowing down since the financial crisis due to the industrial upgrading in China and in other emerging economies that has declined processing trade. In addition, some types of manufacturing jobs have returned to source countries (reshoring) in response to technology innovation and lower labour costs differentials. • The euro area is in the middle of a broad based cyclical upswing. Higher exports and improved expectations have induced firms to invest more into equipment, as capacity utilization has been above average for some time now and is still increasing, and financing costs are very low. However, recent soft indicators, but also industrial production have been surprisingly downbeat, and there was some turbulence in financial markets, which suggests some caution. • The ECB will probably stop its asset purchase program at the end of 2018, but only later in 2019 start raising interest rates. Fiscal policy in the euro area is slightly expansionary this year, and a notable fiscal stimulus in France and in Germany is to be expected for 2019. • Overall, we forecast euro area GDP to expand by 2.2% in 2018 and by 1.6% in 2019. Accelerating wage dynamics will, together with higher price setting powers of firms and the recent increase in oil prices, cause consumer price inflation rising to nearly to 2% in 2019. Uncertainty, is however substantial, as a slight slowdown cannot be ruled out, which would also impact inflation dynamics.

The adverse macroeconomic consequences of the Great Recession in 2009 spread well beyond the United States, highlighting the importance of financial stability and the housing market for real economic activity. Moreover, the vicious bank-sovereign cycle and the resulting sovereign-debt crisis of 2010-2012 posed a big threat to the survival of the Economic and Monetary Union (EMU) as a whole. While there is widespread consensus about the underlying causes of these crises, policy makers are still debating about what can be done to prevent future crises and, especially in the Euro area, deeply disagree on the direction of reforms. After all, most regulatory measures face not only the trade-off between financial resilience versus efficiency but also the fundamental choice between rule or discretion based interventions (Bénassy-Quéré et al., 2018).