This thesis investigates whether or not changes in a country’s government debt could affect its domestic stock market performance. The relationship is investigated by examining three different European countries, Germany, Portugal and Sweden, on the basis of two variables; (1) quarterly government debt changes as a percentage of gross domestic product and (2) the quarterly stock market changes over the time period2000:Q2 – 2011:Q2. The evidence is presented with help of Ordinary Least Square Method and Granger Causality test for each respective country. According to the Efficient Market Hypothesis, stock market prices should fully reflect all relevant information, e.g. government debt changes, as soon as they occur, without any delay, if the market is efficient. Past information should be insignificant and therefore not affect the stock market prices in an efficient market. In the cases of Sweden and Germany, the results proved to be ambiguous and thus do not allow for either rejection or acceptance of the Efficient Market Hypothesis with respect to government debt changes. However, some support was found in the case of Germany since the government debt changes and the stock market performance were instantaneously correlated. The empirical results presented in this thesis further allowed for the assumption that Portugal was not able to efficiently capture changes in the debt levels without any delay. This indicates that the Efficient Market Hypothesis can be rejected in regards for Portugal with respect to government debt changes. Furthermore, since the Portuguese stock market performance was not able to capture efficiently changes in the government debt level, it hence could possibly mislead the direction of the economy when looking into the stock prices to determine economic conditions. Moreover, the results imply that each country faces different relationships between the variables and that the relationships possibly could depend on the economic health of a country.

This thesis is about the causal relationship between interest rates. In chapter 1, with the help of time-series econometrics and by applying linear Granger causality tests based on the Toda-Yamamoto approach, the linear causality directions between the federal funds rate and five different interest rates during the last seven business cycles in the U.S. are investigated. We also examine the linear Granger causality directions between the overnight rate and five other interest rates during the last three business cycles in Canada. In chapter 2, the Diks and Panchenko Granger causality test is applied to explore the nonlinear causality effects between the short-term and long-term interest rates. By combining nonlinear causality effects with the linear ones which are found in the first chapter, it is seen that during the related periods in the U.S. and Canada, the most common Granger causality direction between short-term and long-term interest rates is a bidirectional one. Moreover, our findings show that during recent periods, the federal funds rate and overnight rate Granger cause other interest rates significantly. In chapter 3, the rolling window strategy is employed to detect the linear and nonlinear Granger causality relationship between the federal funds rate and the 10-year government bond rate, during different time horizons, investigating whether these causalities change with the passing of time. Our findings show that during different time horizons, there is a significant two-way Granger causality relationship between these interest rates. Although we have a different interpretation of the existence of bidirectional causation between short-term and long-term interest rates, this conclusion provides some support to some post-Keynesian structuralists viewpoints like Pollin (2008). However, Pollin's claim indicating that with the passing of time the significant causality effects of the federal funds rate to the market rates becomes insignificant is not supported by the current thesis findings because our results demonstrate that these causality effects have not been diminishing over the most recent business cycles.

We use annual real GDP and the volume of the bond, stock and credit markets to assess the causal relationship between the aggregate bond market development and economic growth in the USA, Japan, Germany, Great Britain, Italy, France and the Netherlands over the 1950 to 2001 period. The literature on the real - financial nexus to date has focused on the credit and stock markets, with few exceptions. Partially due to data availability problems, the impact of bond markets on economic growth has not yet been examined in the same way. To fill this gap we provide empirical evidence for long-run equilibrium and Granger causality in at least one direction in the relationship among real GDP and bond, credit and stock markets in seven economies with large bond markets. The supplyleading hypothesis that development of the financial markets enhances growth is supported in all countries except for Germany. The demand-leading hypothesis that economic development pulls the development of the financial markets is supported only for Germany. A feedback between domestic credits and output is found in Japan. There is evidence for a feedback between the equity markets and real output in Japan and the Netherlands. (author's abstract) / Series: EI Working Papers / Europainstitut

This thesis applied the short-time direct directed transfer function (SdDTF) to time series data recordings from intracranial electrodes that measure the brain's electrical activity to determine the causal influences that occurred between brain regions during a speech production task. The combination of high temporal and spatial resolution of the electrocorticography (ECoG) recordings directly from the cortex render these measurements of brain activity desirable, particularly when analyzing the fine cognitive dynamics involved in word generation. This research applied a new method to characterize the SdDTF results by compressing across time and high gamma frequencies, generating adjacency matrices, and graphing them to visualize the influences between anatomical regions over the duration of the entire task. This consolidated SdDTF analysis technique allowed for data from a total of seven patients to be combined, generating results which were consistent with current speech production models. The results from this thesis contribute to the expansion of language research by identifying areas relevant to word generation, providing information that will help surgeons avoid irreparable damage to crucial cortex during brain surgery.

In this thesis, we analyze volatility spillovers between crude oil and food commodities. The principal hypothesis assumes crude oil to behave as a production factor of the agricultural food commodities, thence we are looking for appropriate price effects. We mainly employ wavelet coherence and partial wavelet coherence, which provide us with valuable insight into the commodities nexus, without any strict restraints and assumptions levied on our data. Secondly, we build a DCC-GARCH model in order to model the presumed volatility spillovers. We also perform several simple benchmark analyses, in particular we test for Granger causality and we compute the Pearson correlation coefficients. Our data sample, including 10 commodities and 2 indices, covers the latest decade, significantly widening the existing contextual literature. Our results are mostly compliant with related literature, especially regarding the crude oil-fuels bundle and food commodities bundle, respectively. Considering the main research question of volatility spillovers between food commodities and crude oil, our results are indicating reasonably strong relationships with crude oil for soybeans and corn, leaving cotton and wheat rather on the verge of strong relationship and finding cattle to be completely unrelated. Main merits of the thesis...

This diploma thesis deals with a question of identification of causality between sentiment on social network Twitter and a price of specific, publicly traded stocks on New York Stock Exchange (NYSE). By a multi criteria analysis were chosen stocks of Microsoft Corporation and Apple Inc. There is constructed a model, which identifies authors messages on Twitter -- tweets and sentiment which they carry in relation to companies. Success of this model is examined by both qualitative and quantitative analysis. The thesis is trying to provide a solution to current and potential investors and management of the companies in order to take better decisions in allocating funds and managing the companies.

It is widely recognised that the construction industry has a positive role to accelerate the wheel of economic growth in any country. This research is concerned with the Libyan construction industry (LCI). Libya is a developing country which suffered from a big loss in its infrastructures and its unemployment rate increased to 30% in the middle of 2013. Regarding the importance of the construction industry through the role it has in providing infrastructure and creating employment and the poor economic condition of Libya, the rationale of this research follows the example of other nations such as Turkey, Singapore, Malaysia , and Middle East countries where the construction industry was evolved with a target to further boost up the process of economic development. The case of Libya in this regard is valid for the financial stability in the country given its oil reserves and the capacity of the country to absorb migrated skilled labour. This situation is expected to follow the fall of Gaddafi’s regime. The approach of selecting construction as providing input to economic growth follows the strong evidence of the significant role that the construction industry plays in economic growth of the country. The construction industry contributes to economic growth from the demand side and in the traditional Keynesian economy, sustainable short-run economic growth is dependent on the increased demand. For example, in the UK, construction’s 2.5% growth in the third quarter of 2013 helped the overall economy grow by 0.8% over the same period. In comparison with the other industries that contribute to the economic growth of developing countries, the construction industry is more labour-intensive while the developing countries are mostly labour-abundant. The main aim of this research is to investigate the contribution of the construction industry to economic development in order to establish a comprehensive list of recommendations and a guideline for achieving an efficient construction industry to accelerate the process of economic growth. For this aim, the first objective is to examine the causal relationship between the construction industry and gross domestic product (GDP) as a measure of the economic growth and between the construction industry and other economic sectors. To achieve the aim of this research, Granger causality tests have been conducted. The financial data about the expenditure on the construction industry in Libya and its share in the GDP of the country and the share of the other economic sectors in the GDP during 1986-2009 was provided by an authority from the Libyan construction industry. First, The Augmented Dickey Fuller (ADF) and the Philip Perron (PP) unit root tests were conducted to confirm that the tested time series are stationary. After that, to determine the existence of the long-run causal relationship between the CI and GDP, Engle-Granger co-integration test was used and, finally, vector error correction (VER) model was employed to detect the direction of the causal relationship between the two variables. The study found that in Libya, like in other countries, the relationship between the construction industry and GDP is bi-directional: GDP produces a short-term impact on the investment in the construction industry while investment in the construction industry produces a long-term impact on GDP. However, except for trade, no economic sector was found to have a causal relationship with the construction industry. According to these findings, another objective was established in this research: to identify safety and total quality management (TQM) which can play an important role in growing the efficiency of the Libyan construction industry. To achieve this objective, telephone conversations were conducted with the officials of the largest construction company in the city of Benghazi. The findings indicated that the TQM does not exist in the construction company and, although the safety department does exist, it works via strict procedures. Thus, opportunity to increase the performance of the CI in order to increase its contribution to economic growth does exist through implementation of the safety and TQM implementation in Licccbyan construction companies. The previous studies used the causal relationship just to prove specific hypotheses. The novelty of this research is to obtain benefits from the existence of the causal relationship from the CI to GDP in the long term through suggesting major issues as safety and TQM implementation to raise the performance of the CI in the current period in order to increase its contribution to the economic growth in the future.

This thesis is about the causal relationship between interest rates. In chapter 1, with the help of time-series econometrics and by applying linear Granger causality tests based on the Toda-Yamamoto approach, the linear causality directions between the federal funds rate and five different interest rates during the last seven business cycles in the U.S. are investigated. We also examine the linear Granger causality directions between the overnight rate and five other interest rates during the last three business cycles in Canada. In chapter 2, the Diks and Panchenko Granger causality test is applied to explore the nonlinear causality effects between the short-term and long-term interest rates. By combining nonlinear causality effects with the linear ones which are found in the first chapter, it is seen that during the related periods in the U.S. and Canada, the most common Granger causality direction between short-term and long-term interest rates is a bidirectional one. Moreover, our findings show that during recent periods, the federal funds rate and overnight rate Granger cause other interest rates significantly. In chapter 3, the rolling window strategy is employed to detect the linear and nonlinear Granger causality relationship between the federal funds rate and the 10-year government bond rate, during different time horizons, investigating whether these causalities change with the passing of time. Our findings show that during different time horizons, there is a significant two-way Granger causality relationship between these interest rates. Although we have a different interpretation of the existence of bidirectional causation between short-term and long-term interest rates, this conclusion provides some support to some post-Keynesian structuralists viewpoints like Pollin (2008). However, Pollin's claim indicating that with the passing of time the significant causality effects of the federal funds rate to the market rates becomes insignificant is not supported by the current thesis findings because our results demonstrate that these causality effects have not been diminishing over the most recent business cycles.

This dissertation firstly examines literature connected to this topic in chapter 2. Secondly, chapter 3 summarizes necessary methodology and data used throughout the dissertation. Thirdly, it compares the results of military expenditure made by Cobb-Douglas-Solow production function forecast and an Auto regressive model, in chapter 4. Fourthly, in the chapter 5, with a better performing model, it forecasters the military expenditure from 2015 to 2024 for France, Germany, UK and Italy, because they represent more than 65% of European military expenditure and should give us an idea about the course of the European expenditure as a whole. Also, it compares forecasted expenditure of European NATO countries and USA with Canada for the same period. Finally, in chapter 6, we examine whether there is Granger causality between MS and GDP. Simply, if MS Granger causes GDP and vice versa. It was found that AR is a better performing forecasting technique than CDS and that Granger causality results are ambiguous. GDP Granger causes MS only for France and Italy and there is no evidence of opposite causality.

The main objective of this study is to examine the relationship between banking development and economic growth in Namibia. Namibia has eight licenced commercial banks, four of which have been operational prior to the country's independence; Bank Windhoek Limited, First National Bank Namibia Limited, Nedbank Namibia Limited and Standard Bank Namibia Limited (BON, 2018). The other four licenced commercial banks began operating post independence. The banking development indicators employed by this study were broad money to nominal GDP (M2), private sector credit to nominal GDP (PSC), and lending interest rates (INTR). The data used in this study is annual data, covering the period 1991 to 2018, engaging the VAR/VECM framework in order to determine the presence of a long-run and short-run association. In addition, this study engaged the Granger causality methodology in order to determine the casual association between banking development and economic growth. The error correction term equation suggested a long-run relationship between the variables in the VECM, while the results indicated that there are no short run associations amongst the variables. Further, the results of the Granger causality test indicated a bidirectional causality between LNRGDP and LNPSC. In addition, the causality test showed that lags of LNINTR Granger causes LNPSC, which is consistent with the neoclassical theory of interest rate, which pronounces that interest rates are determined by the demand and the supply of loanable funds. Moreover, lags of LNINTR and lags of LNM2 granger causes LNRGDP, which suggest that banking development causes economic growth. The study recommended that the Namibian banks should reform credit policies and decrease the cost of debt in an attempt to avail more credit to the private sector in order to sustain and stimulate economic growth.