The purpose of this study was to investigate the relationship between gold and stock returns with evidence from BRIC countries during 2001-2010. The importance of this topic is caused by instability in the world economy and stock markets, and due to this instability, there is a growing interest in gold from investors and the current bull market of gold. Considering that gold is independent from most of the macroeconomic factors we believe that it therefore should be independent from or low correlated with stock, which makes this metal useful for portfolio diversification. Based on previous studies, we also believe that gold can be used to predict, to some degree, the stock market trend. The force behind such stable price growth of gold is sustained by demand from emerging countries such as BRICs. Moreover, there is lack of research on this topic from the perspective of different economic sectors. These facts determined the choice of countries along with their economic sectors. The research was designed in the frame of quantitative method. The types of relationship that were investigated are correlation and spillover effects. In order to examine these relationships we have utilized secondary data, which are gold prices and stock indices turned into returns. The Pearson’s correlation and diagonal BEKK GARCH were applied to test the correlation and spillover effects between returns of gold and stock, respectively. The results of the study showed that gold and stock returns are correlated, however to a low degree. Additionally, correlation varies across countries and their economic sectors over time, which may influence investors’ decision in choice of allocation of investments. The other findings showed the existence of mean spillover effects, both unidirectional and bidirectional, and volatility spillover effects between gold and stock returns. The principal conclusions were that gold is an efficient portfolio diversifier, which also plays a role of a hedge and a safe haven. Similarly, taking into account an existence of spillover effects, gold can be helpful in terms of stock prediction and vice versa. Further, another important finding was that not all of the economic sectors had mean spillover with gold, but in terms of volatility, every sector had a certain relationship with gold.

In this study, time series analysis and factor analysis of multivariate analysis were applied to surface water quality monitoring data sets. In order to gain a better understanding on water pollution situations and sources of different river basin, we have done some statistical analysis according to the water quality monitoring data from the database of Environmental Protection Administration Executive Yuan in the years from 2004 to 2008. The statistical analysis is based on the aforementioned contents to find the common latent factors of the water pollution and try to explain the main sources of water pollution of river basins. Specifically the water quality monitoring data of the Tamsui River and the Kao-Ping River basin are analyzed. In seriously polluted areas, from the time series results they reveal that the water quality monitoring data has significant serial correlations. Therefore we firstly use vector autoregression (VAR) model to eliminate the dynamic dependencies of data, and later perform the factor analysis for the residuals. With this analysis procedure, the resulting models and factor variables from the factor analysis, sufficiently explained water quality variables with the potential relationship between environmental pollution in the region.

The subject of this study is to examine the determinants of the real exchange rate in Taiwan. The sample period is from the first quarter of 1982 to the second quarter of 2011, and the variables include the real exchange rate, terms of trade, productivity differential, the real oil price, reserve differential, real interest rate differential, and the net foreign assets of Taiwan and America. The empirical results show that there is no cointegration between the real exchange rate and independent variables. Using a VAR model, this study finds that although the central bank of Taiwan would intervenes the real exchange rate, the variable related to the economic growth is still significant. At 5% significance level, an increase in the productivity differential leads the real exchange rate to depreciate. In addition, from the result of the granger causality test, this study finds that there exists unidirectional causality from the productivity differential and central bank intervention respectively to the real exchange rate. The effect of central bank intervention on the real exchange rate only persists one period, and the effect of the productivity differential persists two more periods. Therefore, it can be concluded that when estimating the future real exchange rate, it may be useful to take the productivity differential into account.

This paper is based on international trade between Taiwan and China intently. This purpose of this paper is to explore economic factors on the volume of Phalaenopsis orchid export from Taiwan to China from 1998 to 2011 . This paper will firstly set four influence variables, the previous export, the China's GDP, the exchange rate and the tariff . Then, this paper will exam those variables by using Unit Root test and the Vector Autoregressive (VAR) method in an empirical analysis. After the examination by Unit Root test, the result shows that all the variables appear to be stationary in the first difference. Furthermore, in Chow test, the empirical results indicate that no structural change occurred before and after the first phase of tariff reduction under ECFA. In co-integration test, those variables are co-integrated. In VAR model, China¡¦s GDP, the exchange rate, and the tariff have impact on the volume of the imports from Taiwan to China in different degrees as well.

As the price level soars up, it become more important to study the dynamic relation between stock prices, price indices. In this paper we suspect that property stocks serve as tools of anti-inflation and examine whether there exists a positive correlation between the prices of property stocks and price indices, such as the Rent Index, CPI, and WPI. Our results confirm the positive correlation between the prices of property stocks and the price indices. More precisely, it is revealed by applying VAR and the impulse response analysis that the positive correlation between the prices of property stocks and CPI/WPI in the short run. Using the cointegration analysis, we detect the long-run relation between the prices of property stocks and the Rent Index.

This study proposes one plausible procedure to address two methodological issues, which are common in micro- and macro- econometric analyses, for the full realization of research potential brought by recently available high dimensional data. To address the issue of how to infer the causal structure from empirical regularities, graphical causal models are proposed to inductively infer causal structure from non-temporal and non-experimental data. However, the (probabilistic) stability condition for the graphical causal models can be violated for high dimensional data, given that close co-movements and thus near deterministic relations are oftentimes observed among variables in high dimensional data. Aggregation methods are proposed as one possible way to address this matter, allowing one to infer causal relationships among disaggregated variables based on aggregated variables. Aggregation methods also are helpful to address the issue of how to incorporate a large information set into an empirical model, given that econometric considerations, such as degrees-of-freedom and multicollinearity, require an economy of parameters in empirical models. However, actual aggregation requires legitimate classifications for interpretable and consistent aggregation. Based on the generalized condition for the consistent and interpretable aggregation derived from aggregation theory and statistical dimensional methods, we propose plausible methodological procedure to consistently address the two related issues of causal inference and actual aggregation procedures. Additional issues for empirical studies of micro-economics and macro-economics are also discussed. The proposed procedure provides an inductive guidance for the specification issues among the direct, inverse, and mixed demand systems and an inverse demand system, which is statistically supported, is identified for the consumer behavior of soft drink consumption. The proposed procedure also provides ways to incorporate large information set into an empirical model with allowing structural understanding of U.S. macro-economy, which was difficult to obtain based on the previously used factor augmented vector autoregressive (FAVAR) framework. The empirical results suggest the plausibility of the proposed method to incorporate large information sets into empirical studies by inductively addressing multicollinearity problem in high dimensional data.

This dissertation investigates the pricing behaviors of two major energy commodities, U.S. natural gas and crude oil, using times series models. It examines the relationships between U.S. natural gas price variations and changes in market fundamentals within a two-state Markov-switching framework. It is found that the regime-switching model does a better forecasting job in general than the linear fundamental model without regime-switching framework, especially in the case of 1-step-ahead forecast. Studies are conducted of the dynamics between crude oil price and U.S. dollar exchange rates. Empirical tests are applied to both full sample (1986—2010) and subsample (2002—2010) data. It is found that causality runs in both directions between the oil and the dollar. Meanwhile, a theoretical 5-country partial dynamic portfolio model is constructed to explain the dynamics between oil and dollar with special attention to the roles of China and Russia. It is shown that emergence of China‘s economy enhances the linkage between oil and dollar due to China's foreign exchange policy. Further research is dedicated to the role of speculation in crude oil and natural gas markets. First a literature review on theory of speculation is conducted. Empirical studies on speculation in commodity markets are surveyed, with special focus on energy commodity market. To test the theory that speculation may affect commodity prices by exaggerating the signals sent by market fundamentals, this essay utilizes the forecast errors from the first essay to investigate the forecasting ability of speculators' net long positions in the market. Limited evidence is provided to support the bubble theory in U.S. natural gas market. In conclusion, this dissertation explores both fundamentals and speculators' roles in the U.S. natural gas and global crude oil markets. It is found that market fundamentals are the major driving forces for the two energy commodities price booms seen during the past several years.

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Abstract Japan is the second largest economic power in the world. It has a great deal of FDI outflows but few FDI inflows. Therefore, Japan is in the serious situation of ¡§FDI balance of payments deficit.¡¨ In terms of inward FDI stocks as a percentage of GDP and gross fixed capital formation, Japan is the lowest place of G-7. The purpose of this research is focusing on discussing the shortage of FDI inflows and causing factors which lower the desires of investments in Japan by using the simplest way which is based on the actual situation and the limit of the information in Japan. This paper takes the quarterly data of Japan from 1978 to 2005 and four variables (wage index, real exchange rate, trade and FDI inflows). In this research, the unit root test is used to check if the data have the stationarity or not, and then it uses vector autoregression model (VAR) to proceed impulse response function and forecast error variance decomposition. According to the result of these two approaches, we can figure out the influences of four variables for each other, and then find out the causing factors which lead Japan to have less FDI inflows. The calculation shows that the reason which leads Japanese wages to increase gradually results not only from real exchange rate, trade and FDI inflows, but also from Japanese labor system (lifetime employment system and payment according to working seniority) and the labor quantities. The causality runs from real exchange rate to trade is greater than vice versa. Trade has a positive impact from the real exchange rate which means that the depreciation can accelerate trade. However, the main factor of hindering FDI inflows is Japanese high wages rather than real exchange rate or trade. Therefore, in order to get rid of the depression which was caused by the bubble economy in 1990s, Japanese government not only opens up the restrictions in policy but also takes the control of the prime costs into the most important consideration.

This thesis analyzes the pass-through of external factors into consumer and producer prices in Turkey, with a special emphasis on import price pass-through. To this end, pricing along a distribution chain framework is utilized and it is estimated by Vector Auto Regression (VAR) in a sample period of April 2002 to March 2009. Results show that the pass-through of external shocks into producer prices is higher than it is for consumer prices. Compared with the results of previous studies, findings point out that the degree of pass-through has declined recently in Turkey. In addition, it is found that external factors had significant contribution to annual consumer inflation between 2006 and 2008. Nevertheless, even the contributions of external shocks are excluded, year-end inflation targets would not have been attained.