The dissertation consists of three essays. Chapter II examines the asymmetric effects of monetary policy on stock prices by using an unobserved components model with Markov-switching. My results show that monetary policy has negative effects on stock prices, which is consistent with the most recent literature. When the transitory component is in the low volatility state, a contractionary monetary policy significantly reduces stock prices. When the transitory component is in the high volatility state, the negative effect of monetary policy becomes larger, but the difference of the monetary policy effects between two states is not significant. Besides, a contractionary monetary policy will lower the probability of stock prices staying in the low volatility state. Monetary policy also reduces the total volatility of stock prices and the volatility of the transitory component of stock prices. Chapter III employs the smooth transition autoregressive (STAR) models to investigate the nonlinear effect of monetary policy on stock returns. The change in the Federal funds rate is used as an endogenous measure of monetary policy and the growth rate of industrial production is also considered in the model. My empirical results show that excess stock returns, the change in the Federal funds rate, and the growth rate of industrial production all can be expressed in the nonlinear STAR models. The estimated coefficients and the impulse response functions show that the effect of monetary policy on excess returns of stock prices is significantly negative and nonlinear. The change in the Federal funds rate has a larger negative effect on excess returns in the extreme low excess returns regime and the effect becomes smaller when the excess returns are greater than the threshold value. In chapter IV, I use a panel data approach to investigate the impact of exchange rate volatility on bilateral exports of the U.S. to the thirteen major trading partners. I further test the possibility of nonlinear effects of exchange rate volatility on exports by using threshold regression methods for non-dynamic panels with individual-specific fixed effects proposed by Hansen (1999). The results indicate that the effect of exchange rate volatility on bilateral exports is nonlinear. When the relative real GDP per capita of the exporting partner is lower than the threshold value, the response of bilateral U.S. exports to exchange rate volatility is positive. But, exchange rate volatility decreases bilateral exports of the U.S. to the exporting partners when their relative real GDP per capita surpass the threshold value.

<p>The purpose of this thesis is to examine whether the exchange rate volatility has an impact on Swedish exports. This relationship has been tested in several studies but no consistent result has been found. It is therefore an interesting subject to investigate further and it has not been thoroughly tested for Sweden using aggregated data. Since the exchange rate vola-tility may have an effect on exports, and therefore on the whole economy, the effect can support a certain exchange rate regime. All the data used in this thesis is based on the ag-gregated data for Sweden and the Euro zone between the years 1993 and 2006. The method chosen is a statistical analysis using regressions. Three variables other than ex-change rate volatility were included when conducting the regressions explaining Swedish exports and these are: the real effective exchange rate index, the industrial production in Sweden (“push” factor) and the import from the Euro Zone (“pull” factor). The overall conclusion found was that the industrial production in Sweden, the real effective exchange rate index, the time and lagged values of the export influence the export. There was no evi-dence found that the exchange rate volatility influences the exports for Sweden.</p>

This thesis examines both the long run and the short run impact of Exchange Rate Volatility on Foreign Direct Investment using an unbalanced panel data from three Sub-Saharan African countries of Kenya, Uganda and Tanzania. This is accomplished by generating Exchange Rate Volatility figures by the GARCH(1,1) methodology. The control variables included in this study include GDP, GDP growth, Economic Openness and Exchange rate. In order to capture the impact of economic openness on exchange rate volatility and thus foreign direct investment, different econometric specifications are adopted. The unbalanced panel data used in the analysis ranges for different time period for the specific countries considered in the panel.

This thesis examines the effects of price and exchange rate volatilities on the volume of trade corn, soybean, wheat and rice. Empirical results indicate that price volatility and exchange rate volatilities do not have effects on Canada’s export of wheat and soybean, and Canada’s import of corn and rice. This thesis also examined the effects of exchange rate and commodity price volatilities on developed countries’ trade and developing countries’ trade separately. Results show that trade between developing countries is more sensitive to exchange rate and commodity price volatilities than trade between developed countries. / Canadian Agricultural Trade Policy and Competitiveness Research Network (CATPRN)

This thesis examines the effects of price and exchange rate volatilities on the volume of trade corn, soybean, wheat and rice. Empirical results indicate that price volatility and exchange rate volatilities do not have effects on Canada’s export of wheat and soybean, and Canada’s import of corn and rice. This thesis also examined the effects of exchange rate and commodity price volatilities on developed countries’ trade and developing countries’ trade separately. Results show that trade between developing countries is more sensitive to exchange rate and commodity price volatilities than trade between developed countries. / Canadian Agricultural Trade Policy and Competitiveness Research Network (CATPRN)

This thesis examines the effects of price and exchange rate volatilities on the volume of trade corn, soybean, wheat and rice. Empirical results indicate that price volatility and exchange rate volatilities do not have effects on Canada’s export of wheat and soybean, and Canada’s import of corn and rice. This thesis also examined the effects of exchange rate and commodity price volatilities on developed countries’ trade and developing countries’ trade separately. Results show that trade between developing countries is more sensitive to exchange rate and commodity price volatilities than trade between developed countries. / Canadian Agricultural Trade Policy and Competitiveness Research Network (CATPRN)

South Africa has become more dependent on portfolio inflow to finance investment and consumption due to the low rate of government and household savings. Therefore, it is important from South Africa‟s perspective to maintain a stable portfolio inflow in order to ensure that the current account deficit does not reach unsustainable levels. However, portfolio inflow is anything but stable in South Africa. The risk associated with this is that when foreigners‟ expectations of South Africa shift, due to any form of instability or risk within the country or even internationally, it leads to massive withdrawals or outflow of funds, which in turn causes the currency to depreciate. The portfolio balance theory on the other hand states that an increase in portfolio inflow leads to the appreciation of the nominal exchange rate, and that this is perceived to work against economic growth. The main objective of this research is to determine the nature of the relationship between exchange rate volatility and portfolio flows, and the extent to which volatility in the exchange rate affect South Africa‟s portfolio inflow. The research uses Vector Autoregressive (VAR) models and quarterly data, ranging from 1995 to 2012 to investigate this relationship. From the VAR models a Granger causality test, as well impulse response functions is used to shed light on the influence of a one-unit shock in both foreign portfolio inflow and exchange rate volatility on the other variables in the model. Exchange rate volatility is measured using both Autoregressive Conditional Heteroscedasticity (ARCH) family models and the conventional standard deviation, in order to control for possible biasness caused by the choice of instrument of volatility. The results showed the nature of the relationship between exchange rate volatility and foreign portfolio inflow to South Africa‟s capital markets can be described as country-dependent and time-varying. South Africa‟s portfolio inflow exhibits high volatility and low persistence that are characteristics normally associated with “hot money”, which is largely driven by foreign investors‟ appetite for short-term speculative gains. The study identified the consistent presence of bidirectional causality between the exchange rate volatility and foreign portfolio inflow to South Africa, irrespective of the measurement of exchange rate volatility. The results also revealed that net portfolio flows are associated with exchange rate appreciation and that foreign portfolio inflow react much stronger to changes in exchange rate volatility than vice versa. / MCom (Risk Management), North-West University, Potchefstroom Campus, 2015

South Africa has become more dependent on portfolio inflow to finance investment and consumption due to the low rate of government and household savings. Therefore, it is important from South Africa‟s perspective to maintain a stable portfolio inflow in order to ensure that the current account deficit does not reach unsustainable levels. However, portfolio inflow is anything but stable in South Africa. The risk associated with this is that when foreigners‟ expectations of South Africa shift, due to any form of instability or risk within the country or even internationally, it leads to massive withdrawals or outflow of funds, which in turn causes the currency to depreciate. The portfolio balance theory on the other hand states that an increase in portfolio inflow leads to the appreciation of the nominal exchange rate, and that this is perceived to work against economic growth. The main objective of this research is to determine the nature of the relationship between exchange rate volatility and portfolio flows, and the extent to which volatility in the exchange rate affect South Africa‟s portfolio inflow. The research uses Vector Autoregressive (VAR) models and quarterly data, ranging from 1995 to 2012 to investigate this relationship. From the VAR models a Granger causality test, as well impulse response functions is used to shed light on the influence of a one-unit shock in both foreign portfolio inflow and exchange rate volatility on the other variables in the model. Exchange rate volatility is measured using both Autoregressive Conditional Heteroscedasticity (ARCH) family models and the conventional standard deviation, in order to control for possible biasness caused by the choice of instrument of volatility. The results showed the nature of the relationship between exchange rate volatility and foreign portfolio inflow to South Africa‟s capital markets can be described as country-dependent and time-varying. South Africa‟s portfolio inflow exhibits high volatility and low persistence that are characteristics normally associated with “hot money”, which is largely driven by foreign investors‟ appetite for short-term speculative gains. The study identified the consistent presence of bidirectional causality between the exchange rate volatility and foreign portfolio inflow to South Africa, irrespective of the measurement of exchange rate volatility. The results also revealed that net portfolio flows are associated with exchange rate appreciation and that foreign portfolio inflow react much stronger to changes in exchange rate volatility than vice versa. / MCom (Risk Management), North-West University, Potchefstroom Campus, 2015

This article identifies the best models for forecasting the volatility of daily exchange returns of developing countries. An emerging consensus in the recent literature focusing on industrialized countries has noted the superior performance of the Fractionally Integrated Generalized Autoregressive Conditionally Heteroscedastic (FIGARCH) model in the case of industrialized countries, a result that is reaffirmed here. However, we show that when dealing with developing countries' data the IGARCH model results in substantial gains in terms of the in-sample results and out-of-sample forecasting performance. (authors' abstract)

In this companion paper to Broll and Mukherjee (2017), we empirically analyse how exchange rate volatilities affect firms optimal production and exporting decisions. The firms elasticity of risk aversion determines the direction of the impact of exchange rate risk on exports. Based on a flexible utility function that incorporates all possible risk preferences, a unique structurally estimable equation is used to estimate the risk aversion elasticities for a panel of Indian service sector (non-financial) firms over 2004-2015, using the quantile regression method.