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This dissertation contains three essays on monetary policy, dynamics of the interest rates and spillovers across economies. In the first essay I examine the effects of monetary policy and its interaction with financial regulation within a micro-founded macroeconometric framework for a closed economy with a heterogeneous banking system, facing a period of low interest rates. I analyse the interplay between monetary policy and banking regulation and study the role of agents’ expectations for the effectiveness of unconventional monetary policy tools. In the next essay, I argue that openness is crucial for understanding the dynamics of the term structure. In an empirical application, I show that my model of the term structure fits well the yield curve in-sample and has a sound ability to forecast interest rates out-of-sample. The model accounts for the expectations hypothesis, replicates the forward premium anomaly and reconciles the uncovered interest rate parity implications. The last essay is concerned with the dynamics of co-movement among macroeconomic aggregates and the degree of convergence or decoupling amongst economies. The model includes measures of financial and trade-based interdependencies and incorporates feedback between macroeconomic variables and time-varying weights. The findings point at the importance of asset price movements and financial linkages.
This thesis consists of four chapters. Each chapter covers a topic in international macroeconomics and monetary policy. The first chapter investigates the impact of unexpected monetary policy shocks on exchange rates in a multi-country econometric model. The second chapter examines the linkage between macroeconomic fundamentals and exchange rates through the monetary policy expectation channel. The third chapter focuses on the international transmission of bank and corporate distress. The last chapter unfolds the interest rate channel of monetary policy transmission in-an emerging economy-China, where regulations and market forces co-exist in this transmission.
This dissertation introduces in chapter 1 a new comparative approach to model-based research and policy analysis by constructing an archive of business cycle models. It includes many well-known models used in academia and at policy institutions. A computational platform is created that allows straightforward comparisons of models’ implications for monetary and fiscal stabilization policies. Chapter 2 applies business cycle models to forecasting. Several New Keynesian models are estimated on historical U.S. data vintages and forecasts are computed for the five most recent recessions. The extent of forecast heterogeneity for models and professional forecasts is analysed. Chapter 3 extends the forecasting analysis to a long sample and to the evaluation of density forecasts. Weighted forecasts are computed using a variety of weighting schemes. The accuracy of forecasts is evaluated and compared to professional forecasts and forecasts from nonstructural time series methods. Chapter 4 adds a new feature to existing business cycle models. Specifically, a medium-scale New Keynesian model is constructed that allows for strategic complementarities in price-setting. The role of trade integration for monetary policy transmission is explored. A new dimension of the exchange rate channel is highlighted by which monetary policy directly impacts domestic inflation. Chapter 5 tests whether simple symmetric monetary policy rules used in most business cycle models are a sufficient description of reality. I use quantile regressions to estimate policy parameters and find asymmetric reactions to inflation, the output gap and past interest rates.