The recent economic and financial turmoil has led central banks around the world to heavily utilize unconventional monetary policy measures. Unconventional in this sense means a deflection from traditional central bank policy measures, i.e. interest rate innovations. Although these measures were widely discussed, the uniformed, coherent and comprehensive framework of such measures is still missing. The aim of this thesis is to establish the framework for possible classification of such policies together with transmission channels to the real economy. The empirical part examines the impacts of unconventional policies on real data using vector autoregression and vector error correction models. This analysis is based on monthly data period between 1999 and 2013, which is strongly affected by implementation of the unconventional policies in its second half. The last section examines the possible future of these policies as a normal instrument of central banks and describes their main challenges and shortcomings. JEL classification: C32, E40, E44, E50, E52, E58, E60 Keywords: Unconventional monetary policy, Interest rate, Decoupling principle, Balance sheet policy stratification, Quantitative easing, Channels of transmission, Vector Autoregression, Vector error correction model Author's e-mail:...

This study seeks to analyse and quantify cross-border effects of discretionary fiscal policies from two major points of view. The aggregate approach rests on the use of the structural vector autoregression model (SVAR) and its extension, the global vector autoregression model (GVAR). The discretionary fiscal impulse itself is then defined as a change in cyclically adjusted balance of the government sector, calculated at quarterly frequencies. This section is then complemented by a case study of a single measure: the German car scrapping scheme during 2009 and its effects on the Czech economy. It was found that cross-border effects of discretionary fiscal policies may be indeed present, in case certain conditions are met. Importantly, a fiscal impulse has to originate from a sufficiently large economy and there needs to be a tight trade linkage between examined countries. In most cases, cross-border effects have also been found of lesser magnitude than direct impacts of fiscal policies on the domestic country. Finally, as demonstrated on the German-Czech case, even a single fiscal measure can trigger substantial cross-border spillovers. It was estimated that this measure positively contributed to real GDP growth in 2009 in the Czech Republic by 0.44 pp.

The inability to effectively hedge against unfavourable exchange rate movements, using the current forward exchange rate as the only guideline, is a key inhibiting factor of international trade. Market participants use the current forward exchange rate quoted in the market to make decisions regarding future exchange rate changes. However, the current forward exchange rate is not solely determined by the interaction of demand and supply, but is also a mechanistic estimation, which is based on the current spot exchange rate and the carry cost of the transaction. Results of various studies, including this study, demonstrated that the current forward exchange rate differs substantially from the realized future spot exchange rate. This phenomenon is known as the exchange rate puzzle. This study contributes to the dynamics of modelling exchange rate theories by developing an exchange rate model that has the ability to explain the realized future spot exchange rate and the exchange rate puzzle. The exchange rate model is based only on current (time t) economic fundamentals and includes an alternative approach of incorporating the impact of the interaction of two international financial markets into the model. This study derived a unique exchange rate model, which proves that the exchange rate puzzle is a pseudo problem. The pseudo problem is based on the generally excepted fallacy that current non–stationary, level time series data cannot be used to model exchange rate theories, because of the incorrect assumption that all the available econometric methods yield statistically insignificant results due to spurious regressions. Empirical evidence conclusively shows that using non–stationary, level time series data of current economic fundamentals can statistically significantly explain the realized future spot exchange rate and, therefore, that the exchange rate puzzle can be solved. This model will give market participants in the foreign exchange market a better indication of expected future exchange rates, which will considerably reduce the dependence on the mechanistically derived forward points. The newly derived exchange rate model will also have an influence on the demand and supply of forward exchange, resulting in forward points that are a more accurate prediction of the realized future exchange rate. / Thesis (Ph.D. (Risk management))--North-West University, Potchefstroom Campus, 2011.

The inability to effectively hedge against unfavourable exchange rate movements, using the current forward exchange rate as the only guideline, is a key inhibiting factor of international trade. Market participants use the current forward exchange rate quoted in the market to make decisions regarding future exchange rate changes. However, the current forward exchange rate is not solely determined by the interaction of demand and supply, but is also a mechanistic estimation, which is based on the current spot exchange rate and the carry cost of the transaction. Results of various studies, including this study, demonstrated that the current forward exchange rate differs substantially from the realized future spot exchange rate. This phenomenon is known as the exchange rate puzzle. This study contributes to the dynamics of modelling exchange rate theories by developing an exchange rate model that has the ability to explain the realized future spot exchange rate and the exchange rate puzzle. The exchange rate model is based only on current (time t) economic fundamentals and includes an alternative approach of incorporating the impact of the interaction of two international financial markets into the model. This study derived a unique exchange rate model, which proves that the exchange rate puzzle is a pseudo problem. The pseudo problem is based on the generally excepted fallacy that current non–stationary, level time series data cannot be used to model exchange rate theories, because of the incorrect assumption that all the available econometric methods yield statistically insignificant results due to spurious regressions. Empirical evidence conclusively shows that using non–stationary, level time series data of current economic fundamentals can statistically significantly explain the realized future spot exchange rate and, therefore, that the exchange rate puzzle can be solved. This model will give market participants in the foreign exchange market a better indication of expected future exchange rates, which will considerably reduce the dependence on the mechanistically derived forward points. The newly derived exchange rate model will also have an influence on the demand and supply of forward exchange, resulting in forward points that are a more accurate prediction of the realized future exchange rate. / Thesis (Ph.D. (Risk management))--North-West University, Potchefstroom Campus, 2011.