Master of Science / Department of Agricultural Economics / Ted C. Schroeder / In recent years, the agricultural markets have been subject to increased prices and unusual levels of elevated volatility. One likely driver of this is the mandated ethanol expansion in the Energy Policy Act of 2005. Previous research has identified relationships in market prices and variability between the energy and grain markets, but little has been done to evaluate volatility spillover across a broader spectrum of agricultural commodities. Additionally, few studies have assessed causal linkages across market implied volatilities. This research examines implied volatility spillover in futures markets across major agricultural commodities and energies. The analysis also determines the time path and magnitude of volatility translation across the markets and compares the causal relationships between pre-ethanol boom and post-ethanol boom time periods. Granger causality tests are conducted using multivariate and bivariate vector autoregressive modeling techniques, and impulse response functions are employed to obtain time paths of the reactions. Overall, results indicate that strong implied volatility spillover relationships exist between the grain markets and between the live cattle and feeder cattle markets. The analysis also finds that the agricultural markets have evolved from lean hogs being the primary volatility leader in the pre-ethanol boom era to corn being the primary volatility leader in the post-ethanol boom era. Despite a high correlation between crude oil and corn volatilities in the post-ethanol boom time period, the causal linkage between the two commodities’ volatilities may not be as definite as other literature suggests.

In this thesis I study the investment climate in the four rapidly growing emerging economies Brazil, Russia, India and China (BRIC). The first study, Chapter 2, uses a bivariate EGARCH methodology with time varying conditional correlation to study the global and regional integration of the BRICs and to identify the existence of diversification opportunities for international investors. The second study, Chapter 3, employs a restricted version of the model to explore the relationship between equity market returns and volatility of equity returns in the BRIC countries and global oil prices. Chapter 4 is an extension of Chapter 3, and focuses on the sustainability of Russia???s economic growth in view of its large dependence on oil income. A qualitative analysis of the oil industry in Russia, including an overview of the operations of the largest oil producing companies, government regulations, oil production and proven oil reserves, is conducted for the purpose of this study. The last study, Chapter 5, uses a panel data methodology to explore the determinants of changes in sovereign bond spreads for the BRICs as an asset class and for each of the BRIC countries individually. I conclude that the regional and global level of integration of the BRICs is relatively low, and portfolio investors can enjoy sound diversification benefits particularly by taking investment positions in the Indian and Chinese equity markets. Despite the aggressive economic growth of the BRICs and their increased oil consumption, the volatility of stock returns from the BRICs does not have a significant impact on global oil prices; however, oil prices do impact the volatility of equity returns in India and China, and particularly the level of returns and volatility of equity returns in Russia. Based on this and the qualitative analysis in Chapter 4, it is concluded that in the short to medium term Russia???s continued economic growth will depend on increased reinvestment in the oil industry and in the longer term the government should diversify its revenue sources and focus on development of other sectors within the economy. Lastly, it is concluded that sovereign risk in the BRICs is driven by different global and country-specific factors, hence risk should be observed on an individual country basis and not for the BRICs as an asset class.

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Este trabalho examina relações de preço e volatilidades entre os contratos futuros de soja em grão negociados nos Estados Unidos, China, Brasil e Argentina ao longo do período delimitado entre 2002 e 2011. Os principais resultados mostram que os preços norteamericanos ainda possuem um papel dominante para explicar as variações de preço nos mercados internacionais. Outros resultados também indicam conexões mais fortes entre os preços na bolsa chinesa de Dalian e nos demais mercados, especialmente após 2006. Esta constatação sugere que o mercado chinês se tornou mais integrado ao mercado global de soja em grão em anos recentes, o que reflete a crescente participação da China no comércio internacional da commodity e o desenvolvimento de seu contrato futuro. Em termos de transmissão de volatilidade, o contrato futuro norte-americano teve papel de referência ao promover o contágio para os mercados futuros de Brasil e Argentina em praticamente todos os intervalos de tempo definidos na pesquisa; além disso, movimentos de volatility spillover do mercado dos Estados Unidos para a bolsa chinesa de Dalian ocorreram somente entre 2009 e 2011, ratificando a maior conexão do mercado asiático nos últimos anos. Ainda, Brasil e Argentina mostraram fortes relações com o mercado chinês, fruto do estreitamento comercial, e ao mesmo tempo foram nitidamente impactados pela estrutura de preços e por choques ocorridos na bolsa norte-americana. A despeito da caracterização do contrato futuro dos Estados Unidos como líder na precificação da soja em âmbito mundial, o presente trabalho expõe a grande parcela de importância da bolsa chinesa na definição do preço eficiente de longo prazo da soja em grão, e confirma Brasil e Argentina como seguidores no sistema internacional de ajuste de preços. Através da comparação entre modelos com diferenças acerca da utilização de preços de fechamento ou de abertura da China, o conjunto com cotações de fechamento apresentou maior número de relações de preço e processos de transmissão de volatilidade significativos. A grande contribuição deste estudo corresponde ao resultado sintético de que os principais players do mercado internacional de soja em grão são bastante conectados através de movimentos de preços, volatilidades e fluxos de informação, e que as conexões entre eles se tornaram mais fortes com o passar dos últimos anos. Em termos de aplicação prática, o estudo apontou que os agentes do mercado internacional de soja em grão que acompanharem os movimentos do contrato futuro da China diariamente tendem a realizar transações mais eficientes e lucrativas. / This thesis examines price and volatility linkages between soybean futures contracts traded in United States, China, Brazil and Argentina for the period ranging from 2002 to 2011. The main findings show that U.S. prices still appear to have a dominant role to explain price changes in international markets. Results also indicate stronger linkages between prices in China and in other three markets, especially after 2006. This result suggests the Chinese market has become more integrated with soybean international markets in recent years, which might reflect the growing participation of China in international trade and the development of its soybean futures contract. Regarding volatility spillover, U.S. futures contract had reference position by promoting price contagion to the futures markets in Brazil and Argentina in almost all time intervals defined; moreover, volatility spillovers from U.S. market to Dalian futures market have been observed only from 2009 to 2011, confirming a stronger linkage between U.S. and Chinese markets in the last years. Besides, Brazil and Argentina have shown strong linkages with Chinese market, due to the trade relationship, and at the same time these countries have been impacted sharply by price structure and shocks from U.S. market. Despite the role of U.S. futures contract as a global leader in the soybean pricing process, this study presents the great importance of Chinese market to define the soybean efficient price in the long run, and it confirms Brazil and Argentina as followers in the international system of price adjustment. By comparing models with differences on the use of closing prices or opening prices from Chinese futures market, the set of closing prices presented the largest number of significant price linkages and volatility spillovers. According to the main contribution of this study, the major players in the soybean international market are highly linked through price movements, volatilities and information flow. Results also indicate that linkages between the soybean futures markets have become stronger over the last years. Regarding the practical application, the study pointed that the players of the soybean international market have to observe the movements in the Chinese futures contract daily to perform more efficient and profitable transactions.

This paper examines the impact of USD and EUR exchange rates on the Swedish stock market performance for different economic sectors over a time period of ten years (2003-2013). The growing integration between foreign exchange markets and stock markets with the wide spread use of hedging and diversification policies made it necessary to test the degree of impact these two distinct markets share between each other. Number of studies, were done studying the relationship between the exchange rates and stock performance combining and comparing different economies and currencies. Nevertheless, research gap prevailed when it came at the point of the studying the relationship on Swedish stock and foreign exchange market. The research was conducted with the quantitative method. Initially we have tested how the performance of Swedish stock market is correlated with the return of the USD and EUR in different economic sectors over different time periods. Later, we try to investigate if there is any spillover effect flows from the exchange market to the Swedish stock market. The Pearson’s correlation coefficient and GARCH (1,1) model were applied to study the correlation and spillover effect between the exchange and stock return respectively. Our empirical study showed that there is very low correlation which is statistically insignificant between the two different markets. Correlations were found to be significantly varied across the different economic sectors in different time periods. Moreover empirical study supported that the spillover effect exists and showed that movement of exchange rates will affect the future performance of stock market. The significant conclusions were that USD and EUR can be used as portfolio diversification and during the volatile exchange market, investors should diversify or hedge their risk domestically and vice versa. The implications of this finding is particularly very important for the portfolio managers when devising their hedging policies and diversifying their portfolios in order to minimize their unsystematic risk.

This dissertation investigates the volatility of the relationships between exchange rates and interest rates. The first part of the paper explores the transmission relationship between these two markets using a time-series model. Previous studies have assumed that covariance was constant in both markets. However, if the volatilities of the exchange rate and interest rate markets are correlated over time, the interaction and spillover effects between the two markets may be affected by time-varying covariance. Hence, this paper utilizes the BEKK-GARCH model developed by Engle and Kroner (1995) to capture the dynamic relationship between the exchange rates and interest rates. This study uses the returns data for G7 members¡¦ exchange rates and interest rates to test whether these markets exhibited volatilities spillover from 1978 to 2009. The results show bi-directional volatility spillovers in the markets of the UK, the Euro countries, and Canada, where the volatilities of the two markets were interrelated. The second part of the paper explores the relationship between exchange rates and interest rates using a jump diffusion model. Previous studies assumed that the dynamic processes of exchange rates and interest rates follow a diffusion process with a continuous time path, but an increasing number of empirical studies have shown that a continuous diffusion stochastic model does not capture the dynamic process of these variables. Thus, this paper investigates the discontinuous variables of exchange rates and interest rates and assumes that these variables follow a jump diffusion process. The UIRP model is employed to explore the relationship between both variables and to divide the systematic risk into systematic continuous risk and systematic jump risk. The returns data for G7 members¡¦ exchange rates and interest rates from 2005 to 2010 were analyzed to test whether the expected exchange rate is affected by jump components when the interest rate market experiences a jump. The results show that the jump diffusion model has more explanatory power than the pure diffusion model does, and, when the interest rate market experiences a jump risk, the systematic jump risk has a significant relationship with the expected exchange rates in some G7 countries.

The upward movement in oil and food prices in the 2000s has triggered interest in the information transmission mechanism between the two markets. This research investigates the volatility spillover between oil, food, and agricultural raw material price indexes for the period January 1980 to April 2008. The results of the Cheung-Ng procedure show that variation in oil prices does not Granger cause the variance in food and agricultural raw material prices. However, there is bi-directional spillover between agricultural raw material and oil markets. Besides, it examines volatility spillover between maize, wheat, soybean, rice, and oil spot prices for the period January-1998 to February-2009. The results show that volatility spillover in oil returns leads fluctuations in maize, soybean, wheat, and rice returns in 3 months. In addition, there are bi-directional spillovers between oil and soybean returns, rice and wheat returns. This topic is essential for countries whose populations grow rapidly because forecasting of commodity prices plays an important role in instituting the economic policy. Also, understanding the dynamics of the economy leads to better economic policies. Thus, results are important for investors and policy makers interested in price shocks and transmission.

This paper examines return co-movements and volatility spillovers between major exchange rates before and after the introduction of euro. Dynamic correlations and VAR-based spillover index results suggest significant return co-movements and volatility spillovers, however, their extend is, on average, lower in the post-euro period. Co-movements and spillovers are positively associated with extreme episodes and US dollar appreciations. The euro (Deutsche mark) is the dominant net transmitter of volatility, while the British pound the dominant net receiver of volatility in both periods. Nevertheless, cross-market volatility spillovers are bidirectional, and the highest spillovers occur between European markets. (author's abstract)

This thesis is based on three papers examining Gulf Cooperation Council (GCC) financial markets. The member countries of the GCC are Bahrain, Kuwait, Oman, Qatar, Saudi Arabia and the United Arab Emirates. These countries have transitioned from developing to frontier markets over the past ten years, but there is considerable debate about whether GCC economies are efficient or affected by shocks in oil and other commodity markets. The first paper (chapter 2) considers GCC stock market returns and examines how they are affected by oil price shocks using a bivariate VAR-GARCH(1,1) approach. The conclusion of this essay is that GCC economies are more affected by shocks than are other countries considered for comparison purposes. The second paper (chapter 3) discusses how food prices are affected by oil price shocks, and it examines possible parameter shifts between food and oil that result from four recent events, including renewable fuel policies and the financial crisis. The third paper (chapter 4) uses an empirical approach to compare a least squares model and a non-linear Markov switching model to measure the effect of newspaper sentiment on stock market performance. The results indicate that all information is important to stock market investors and that non-linear models are better predictors of stock market performance then linear models when using data from newspaper articles. Chapter 5 offers some final conclusions and remarks.

Este trabalho examina relações de preço e volatilidades entre os contratos futuros de soja em grão negociados nos Estados Unidos, China, Brasil e Argentina ao longo do período delimitado entre 2002 e 2011. Os principais resultados mostram que os preços norteamericanos ainda possuem um papel dominante para explicar as variações de preço nos mercados internacionais. Outros resultados também indicam conexões mais fortes entre os preços na bolsa chinesa de Dalian e nos demais mercados, especialmente após 2006. Esta constatação sugere que o mercado chinês se tornou mais integrado ao mercado global de soja em grão em anos recentes, o que reflete a crescente participação da China no comércio internacional da commodity e o desenvolvimento de seu contrato futuro. Em termos de transmissão de volatilidade, o contrato futuro norte-americano teve papel de referência ao promover o contágio para os mercados futuros de Brasil e Argentina em praticamente todos os intervalos de tempo definidos na pesquisa; além disso, movimentos de volatility spillover do mercado dos Estados Unidos para a bolsa chinesa de Dalian ocorreram somente entre 2009 e 2011, ratificando a maior conexão do mercado asiático nos últimos anos. Ainda, Brasil e Argentina mostraram fortes relações com o mercado chinês, fruto do estreitamento comercial, e ao mesmo tempo foram nitidamente impactados pela estrutura de preços e por choques ocorridos na bolsa norte-americana. A despeito da caracterização do contrato futuro dos Estados Unidos como líder na precificação da soja em âmbito mundial, o presente trabalho expõe a grande parcela de importância da bolsa chinesa na definição do preço eficiente de longo prazo da soja em grão, e confirma Brasil e Argentina como seguidores no sistema internacional de ajuste de preços. Através da comparação entre modelos com diferenças acerca da utilização de preços de fechamento ou de abertura da China, o conjunto com cotações de fechamento apresentou maior número de relações de preço e processos de transmissão de volatilidade significativos. A grande contribuição deste estudo corresponde ao resultado sintético de que os principais players do mercado internacional de soja em grão são bastante conectados através de movimentos de preços, volatilidades e fluxos de informação, e que as conexões entre eles se tornaram mais fortes com o passar dos últimos anos. Em termos de aplicação prática, o estudo apontou que os agentes do mercado internacional de soja em grão que acompanharem os movimentos do contrato futuro da China diariamente tendem a realizar transações mais eficientes e lucrativas. / This thesis examines price and volatility linkages between soybean futures contracts traded in United States, China, Brazil and Argentina for the period ranging from 2002 to 2011. The main findings show that U.S. prices still appear to have a dominant role to explain price changes in international markets. Results also indicate stronger linkages between prices in China and in other three markets, especially after 2006. This result suggests the Chinese market has become more integrated with soybean international markets in recent years, which might reflect the growing participation of China in international trade and the development of its soybean futures contract. Regarding volatility spillover, U.S. futures contract had reference position by promoting price contagion to the futures markets in Brazil and Argentina in almost all time intervals defined; moreover, volatility spillovers from U.S. market to Dalian futures market have been observed only from 2009 to 2011, confirming a stronger linkage between U.S. and Chinese markets in the last years. Besides, Brazil and Argentina have shown strong linkages with Chinese market, due to the trade relationship, and at the same time these countries have been impacted sharply by price structure and shocks from U.S. market. Despite the role of U.S. futures contract as a global leader in the soybean pricing process, this study presents the great importance of Chinese market to define the soybean efficient price in the long run, and it confirms Brazil and Argentina as followers in the international system of price adjustment. By comparing models with differences on the use of closing prices or opening prices from Chinese futures market, the set of closing prices presented the largest number of significant price linkages and volatility spillovers. According to the main contribution of this study, the major players in the soybean international market are highly linked through price movements, volatilities and information flow. Results also indicate that linkages between the soybean futures markets have become stronger over the last years. Regarding the practical application, the study pointed that the players of the soybean international market have to observe the movements in the Chinese futures contract daily to perform more efficient and profitable transactions.