Diese Dissertation beantwortet verschiedene politikrelevante ökonomische Fragen in den Bereichen Handelspolitik, Geldpolitik, sowie Rohstoffmärkte und Energieökonomik mit Hilfe von strukturellen Vektorautoregressionsmodellen (SVAR). SVARs stellen eine effektive Möglichkeit dar, die Beziehungen zwischen verschiedenen makroökonomischen und/oder Finanzmarkt-Variablen zu modellieren und werden verwendet, um die dynamischen kausalen Effekte von ökonomischen Schocks zu schätzen. Für jede ökonomische Fragestellung wird eine Identifikationsstrategie angewandt, die auf die betrachteten Daten und ihre statistischen Eigenschaften sowie die zugrundeliegenden Annahmen über ökonomische Mechanismen zwischen den betrachteten Zeitreihen zugeschnitten ist. Im Einzelnen besteht diese Dissertation aus vier Kapiteln. In den ersten beiden Kapiteln werden die Auswirkungen von Handelspolitik auf Finanzmärkte und auf die Makroökonomie geschätzt. Das dritte Kapitel liefert einen methodischen Beitrag zur SVAR-Literatur, der in einer Anwendung zu den Effekten von Geldpolitik dargestellt wird. Das letzte Kapitel verlässt die Felder der Handels- und Geldpolitik und wendet sich Rohstoffmärkten und der Energiewirtschaft zu, stützt sich dabei aber ebenfalls auf Zeitreihenmethoden. Es analysiert die Rolle von Metallen in der Energiewende. / This dissertation answers various policy relevant economic questions in the fields of trade policy, monetary policy, and commodity markets and energy economics using structural vector autoregression (SVAR) models. SVARs constitute a parsimonious way to model the relations between different macroeconomic and/or financial variables and they are used to estimate the dynamic causal effects of economic shocks. For each economic question, this dissertation applies an identification strategy that is tailored to the relevant data and its statistical properties as well as the underlying assumptions about economic mechanisms among the regarded time series. Specifically, this dissertation consists of four chapters. The first two chapters estimate the effects of trade policy on financial markets and on the macroeconomy. The third chapter makes a methodological contribution to the SVAR literature in an application to monetary policy shocks. The final chapter moves away from trade and monetary policy to commodity markets and energy economics but also relies on time series methods. It analyzes the role of metals for the clean energy transition.

Charles University in Prague Faculty of Social Sciences Institute of Economic Studies MASTER THESIS Financial Stress Transmission from Developed to Emerging Countries Author: Bc. Nicolae Gavrilenco Supervisor: doc. Roman Horvàth, Ph.D. Academic Year: 2012/2013 Abstract In this research we have analyzed the financial system as it is today, describing the implications financial innovation had and the impact of the recent financial crisis. We tried to understand the nature of the financial stress and its measures. In the context of world financial integration it was also necessary to have a review upon the financial stress transmission channels from developed to emerging countries, determining the linkages and their measures. We employed a structural VAR model to determine whether there is empirical proof of financial Stress transmission from developed to emerging countries and see if financial integration represents the decisive factor in financial stress transmission. Our results suggest that there is a significant impact of financial stress in developed countries on the output of emerging ones. However we can observe an increasing influence of country-specific factors in explaining the variation in the rest of the variable of our model. The results also indicate the level of international financial...

There is an ongoing debate over the role that equity markets play in determining and influencing international equity flows. The first chapter of this dissertation describes the large portfolio equity flows into China and India, in order to understand the buying behavior of US investors. The rapid growth of the Chinese and Indian economies, coupled with the recent development and liberalization of their financial markets has attracted significant portfolio investment from U.S. investors. It is commonly assumed that domestic investors have an informational advantage over foreign investors; however, some recent empirical literature has questioned this assumption. Essay one dissects the nature of the relationship between foreign equity flows, equity returns, and related variables. The results of my empirical investigation provides evidence that U.S. institutional investors are making investment decisions based on long-run determinants of value rather than responding to price signals or ‘chasing returns'. I anticipate that the strong relationship between equity flows and fundamentals will strengthen as information asymmetries decline and US investors continue to develop more sophisticated methods of assessing underlying value in China and India. The second essay of this dissertation explores a new panel data set based on US gross cross-border equity flows to 20 industrialized nations combined with measures of market valuation for the period of 1977-2005. Empirical evidence of imperfect integration across world equity markets indicates that valuation matters. Consistent with relative value trading as a determinant of equity flow patterns, I find that equity flows decrease sharply with host-country market valuations—in particular the component of valuation that is forecasted to revert the following year. I also find that equity flows increase sharply with US equity market valuations. These results suggest the existence of a valuation channel for cross-border equity flows. The findings of this chapter show that US investors are informed about both domestic markets and foreign markets. Peripheral findings of this essay confirm the findings of other researches, but with a longer sample period. Consistent with existing literature, I find a negative influence of interest rates spreads, and information asymmetries on cross-border trade in equities.

This thesis makes two main contributions to the literature. The first is to establish the existence of a capital supply channel, in particular a bank lending channel of monetary policy transmission in the UK using a clean measure of bank loan supply. In this study we exploit the revealed debt preferences of debt issuing firms by using the Becker and Ivashina (2014) fixed effects framework to isolate the impact of credit supply. By conditioning the sample on non-financial firms whose debt issuance is observed, we are able to eliminate the effects of credit demand and to isolate a clean measure for bank loan supply. In this thesis, we find that the tendency by unconstrained, non-financial firms to substitute corporate bonds for bank loans at different points of the financial cycle reflects changes in bank loan supply. We also find that the patterns of substitutability are consistent among more granular classifications of heterogeneous debt. Our results reveal that among unconstrained firms, the proportion of new bank loan issuance declines, while the proportions of corporate bonds and program debt issuance tend to increase, when faced with unfavourable credit market conditions. We then create a loan to bond substitution measure based on observed substitution behaviour of unconstrained firms. We find that this measure explains the out of sample bank loan issuance behaviour of constrained firms. As a result we conclude that the measure is able to cleanly capture changes in bank loan supply. We extend the study to examine the impact of bank loan supply on the financing, hiring and investment decisions of UK non-financial corporations. We find that bank loan supply disruptions significantly and disproportionately affect the hiring and inventory investment decisions of bank dependent firms relative to those of non-bank dependent firms. The propensity to invest or hire among bank dependent UK non-financial firms declines relative to non-bank dependent firms when bank loan supply deteriorates. Moreover, the fixed investment decisions of non-bank dependent firms tend to decline following adverse bank loan supply shocks. These results confirm the existence of a bank lending channel among UK non-financial firms, and the findings are in line with the narrow credit view of monetary policy transmission. Our second central contribution is to analyse the impact of orthogonal QE shocks, credit supply shocks, credit demand shocks, and monetary policy shocks on the aggregate debt issuance behaviour of UK non-financial firms. Using structural vector error correction models (SVECM), we show that QE shocks increase corporate bond issuance and compress term spreads, but have no effect on the policy rate. Moreover, we observe that unexpected increases in the monetary policy rate lead to a decline in corporate bonds in the short term. While credit supply shocks move aggregate bank lending and aggregate corporate bond issuance in the same direction, corporate bond issuance responds with a lag to fluctuation in credit supply. This implies that adverse credit supply shocks may produce amplified negative effects on capital supply as both corporate bonds and bank loan decline. We also establish a counterfactual for corporate bonds and bank loan issues based on our structural model. We find that the QE policies result in the Bank of England averting a decline in corporate bond issuance of between 3% and 10% during the QE period. Our findings in this thesis point towards the existence of a portfolio balance channel of QE that operates in the UK corporate bond markets during the QE period.

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We analyze sector specific shocks in productivity and demand in 19 manufacturing sectors of the Austrian economy. Based on a structural vector autoregressive (SVAR) model with long run restrictions developed by Gali (1999) we extract technology and non-technology shocks from sectoral and aggregate data and study their patterns and relationship by means of a principal components analysis. We find a close association of sectoral and macroeconomic non-technology shocks but only a very weak association for technology shocks. Impulse-response analysis indicates that for almost all manufacturing sectors and the Austrian economy productivity growth rates experience an immediate increase to positive technology shocks while the hours worked decline. We therefore confirm Gali's results on the level of manufacturing industries. Finally, we use the identified shocks as explanatory variables in fixed effect regressions on growth rates of employment, output and investment. We find that our shocks are closely associated to employment growth and output growth but not to growth in investment. The effect of technology shocks is different on the level of manufacturing industries and the aggregate economy. (author's abstract) / Series: Working Papers Series "Growth and Employment in Europe: Sustainability and Competitiveness"

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Abstract: Taiwan has limited resources graphically, so 97% of primary energy source is dependent on import. Industrial sectors are the main sources to Taiwanese economic development since the 1970s, and the oil is the base of the industries, therefore, the fluctuation of world oil price will lead to the fluctuation of domestic business cycles. Besides, Taiwanese economy has highly depended on international trade; therefore the international business cycles also have influence on the domestic business cycles. Furthermore, the international trade accounts for substantial percentage of balance of international payment. Thus, the change in the international trade will also have impact on Taiwanese economy. This paper investigates the influence of international business cycles to the Taiwanese economy. Using a structural vector-autoregressive model (SVAR model) of a small open economy (OE), our SVAR model includes industry product index (IP) of three regions (Asia, Europe, and North America), world oil price, the Taiwanese industry product index and the Taiwanese trade balance. We try to understand how these factors and their variance decompositions explain Taiwanese business cycles. We chose two periods to do the analysis¡G1974:01-1984:01 and 1985:01-2002:04. To summarize, Taiwanese business cycles were much more impacted by the factors from itself. Besides, we can also say that the impact is neither from nominal nor from real variables. Domestic shocks will be more important in explaining Taiwanese economy. Taiwan has limited resource and depends on import; however, the government will control the oil price. Therefore, we conclude that the world oil price does not have huge impact on Taiwanese economy during our studying period. Asian shocks maybe have more influence than other regions on Taiwanese economy gradually during our studying period.

Este trabajo proporciona por primera vez estimaciones empíricas sobre el multiplicador del gasto del Sector Público Nacional de Argentina, utilizando una metodología de vectores autorregresivos estructurales (SVARs). Al mismo tiempo, producto de contar con la clasificación económica del gasto realiza una contribución más que interesante diferenciando el multiplicador según se trate de gasto en consumo o gasto en capital (o inversión pública). Los resultados muestran la enorme importancia de dicha diferenciación en cuanto el gasto el consumo tiene efectos moderados sobre el producto, mientras que la inversión pública tiene efectos macroeconómicos mucho más expansivos, producto de las sinergias que la misma genera con el sector privado. A su vez van en línea con resultados previos para otros países en desarrollo y son consistentes con el resultado esperado dada la tradicional prociclicidad de la política fiscal del país. Se pone de manifiesto la importancia de pensar el sector público y el privado como complementos más que como sustitutos (o rivales) y la necesidad de abandonar las políticas fiscales procíclicas.

This thesis analyzed and estimated the impact of the March 1, 2018 loan to income amortization requirement on residential real estate prices in Sweden. A four variables vector autoregressive model (VAR) was used to study the relationships between residential real estate prices, GDP, real mortgage rate and consumer price index over a time period from 2005 to 2017. First, a structural vector autoregressive (SVAR) model was used to test how a structural innovation in the error term for real mortgage rate affected residential real estate prices. Secondly, an unconditional forecast from our reduced VAR was produced to estimate post 2017 price growth of the Swedish housing market. The impulse response function results stand in contradiction to economic intuition i.e. the price puzzle problem. The unconditional forecast indicates that the housing market will enter a period with slower price growth post 2017, which are in line with previous research. This thesis vector autoregressive model can give meaningful results with regard to trend forecasts but with regard to precise statements as anticipating drastic price depreciation, it falls short. We recommend the use of reduced VAR forecasting with regard to the Swedish housing market.