This paper applies a Factor-augmented error correction model proposed by Banerjee. A, Marcellino. M¡]2009¡^to measure the impact of the United States¡¦ monetary policy on Taiwan. The FECM model has the following advantages. First, it has refined the dynamic factor model, since it allows us to include the error correction terms into equation. Second, we can improve FAVAR model¡¦s shortcomings, the common factor lack of economic interpretation, by using the method of Belviso. F, Milani. F¡]2006¡^. Third, the cointegration can analyze long-run and short-run dynamics of non-stationary variables. Forth, we propose the generalized impulse respone to analyze the FECM model, it doesn¡¦t require orthogonalization of shocks and is invariant to the ordering of the variables. Finally, we indeed prove the interest rate channel does exist in Taiwan and United States through the method of FECM model.

Using the monthly data between 1999 and 2007 in Taiwan, we examine the relationship of exchange rate, trade and capital flow in this paper. Granger causality test and impulse response from vector autoregressive model are employed to obtain the short-run dynamics among the variables, and Johansen cointegration test and error correction model are applied to study the long-run equilibrium. This paper reconfirms the J-curve effect in the short run and the validity of Marshall-Lerner condition in the long run. Our results also show the negative correlation of capital flow and the nominal effective exchange rate. Limited by the slow adjustment speed of trade balance, exchange rate and capital flow are the major drives back to equilibrium when the system deviates from the long-run equilibrium. Further, the capital flow variables are the leading indicators of the others in the most cases. However, different capital flow variables induce different patterns of dynamics in the short-run.

Many empirical studies show that both equity volatility and its trading volume have long range dependence and can be modeled as fractional integrated processes. The objective of this study is to investigate relationship between volatility and volume.We adopt four estimators of volatility, which includes the squared log returns, historical volatility, iterative t estimators and $GARCH$ estimators. The results show that among the four estimators squared log returns usually have the largest integration orders and produce hightest ratios of fractional cointegration. The fractional integrated orders are estimated separately and jointly, and the cointegration parameters are estimated by ordinary least squares, a narrow band frequency domain least squares method and a semiparametric estimator of Whittle likelihood. Models are also established when volatility and volume are not fractional cointegrated.

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Financial markets have become increasingly integrated, both domestically and internationally. Asset prices react to other asset price shocks both within and across asset classes. This paper presents a framework for analyzing the degree of financial transmission between money, bond and equity markets and exchange rates within and between the United States and Taiwan. The empirical model concentrates on monthly return over an 11-year period of 1995-2005 for seven asset prices: short-term interest rates, bond yield and equity market returns in both economies, as well as the exchange rate. The results are as followed: First, Johansen cointegration test indicates that there is one cointegrating equation between seven variables. This finding means that there is a long-run equilibrium relationship among the variables. Second, the error correction terms of the US short-term and long-term interest rates, Taiwan short-term interest rate and exchange rate are significant at the 95% level in the Vector Error Correction Model. The deviation from long-run equilibrium is corrected gradually through a series of partial short-run adjustments. The third key result of the paper is that there is a feedback relationship between the US short-term interest rate and equity market return by using the Granger Causality test. Also, the US short-term and long-term interest rates Granger-cause Taiwan short-term interest rates. This result underline that the US financial markets are the main driver of global financial markets.

This study investigates the domestic and external determinants of net capital flows to Turkey. The results of the Johansen cointegration analyses indicate that capital flows to Turkey increase in response to increases in domestic real interest rate, domestic real income growth, and budget balance / appreciation of domestic currency / and decreases in financial fragility and the US real interest rates. It can be said that, higher domestic real returns and improved country creditworthiness attract more foreign capital flows to Turkey. In addition, the decreases in world interest rates enable Turkey to enjoy higher capital flows. The findings are theory consistent and data-acceptable.

Factors such as economical development, rapid increase in population and climate change increased electricity demand in Turkey as well as in other countries. Thus, using the correct methods to estimate short, medium and long term electricity demand forms a basis for the countries to develop their energy strategy. In this study, monthly electricity demand of Turkey is estimated. First, the effect of natural gas price and consumption to electricity demand and elasticities are searched with a simple regression model. Although, natural gas is known as a substitute of electricity, natural gas consumption and natural gas over electricity price ratio are found to be nearly inelastic. Second part includes two models and cointegration relation is investigated in nonstationary industry production index, electricity consumption per capita and electricity prices series in the first one. An error correction model is then formed with an additional average temperature variable and 12 months electricity demand is forecasted. In the second one, heating degree-days and cooling degree-days are used instead of the average temperature variable and a new error correction model is formed. The first model performs better than the second one, indicating the seasonality of electricity consumption during a year. The results of both models are also compared with previous studies to investigate the effect of different weather variables.

Modern portfolio theory stipulates that an investor can reduce systemic risk simply by diversifying its assets across national boundaries. Therefore, the issue of whether stock markets are cointegrated carries important implications for portfolio diversification. This study aims to identify and model a relationship between four equity markets namely, Turkish, European, North American and emerging markets using cointegration technique. We investigated the existence of cointegrating equation between four stock market indices and also the existence of a structural break. During our investigation, we constructed a vector error correction model (VECM) to observe short and long run relationships between the four markets. We used daily data from the October 23, 1995 until November 20, 2009 and relevant Morgan Stanley Capital International (MSCI) indices, namely MSCI Turkey, MSCI North America, MSCI Europe and MSCI Emerging Markets. Our first finding was that the Turkish equity markets are cointegrated with European, North American and emerging markets indicates that investing in the Turkish equity market does not provide an opportunity for risk diversification for international investors in the long run. It is only possible to benefit from the discrepancies which may occur in the short run. Furthermore, we identified a structural break contemporaneous with crisis of November 2000.

Wheat is an extremely important agricultural commodity, due to its crucial role in everyday nutrition, food security, and in terms of incomes of a large body of farmers worldwide. This study examines the dynamics of wheat prices in Turkey in a framework that allows for regime switching. Due to their simplicity, threshold autoregressive (TAR) models are used to capture the effects of factors such as transaction costs and other institutional arrangements that generate discontinuous adjustment to equilibrium price level. The results are compared with standard linear model estimations. Results indicate that there is strong evidence for asymmetric adjustment of wheat prices in Turkey to the equilibrium price, hence models allowing for regime switching are more preferable over the linear ones. However, the diagnostics of the TAR model reveal that specification of a TAR model allowing for more than two regimes, or a smooth transition autoregressive (STAR) model that allows for smooth transition through a continuum of regimes might be more appropriate.

Standard and Poor¡¦s (S & P), a global leading corporation in providing credit rating, published the sovereign rating outlook of Taiwan which was ¡§negative sign¡¨ at the end of 2007. The main reason was that the situation of public finance continued worsening. Based on traditional economic theory, the increased deficits or debts led to higher interest rates, and the increasing burden on enterprises for paying more loan cost, would have more adverse effects on the domestic investment activities. Therefore, this study is intended to explore the relationships among the long-term interest rates of public bonds, the outstanding debts, fiscal deficits, and government expenditure in Taiwan by analyzing 53 seasonal data from 1994:4 to 2007:4 as the samples. The findings indicate that no structure breaking points exist in every variable by using CUSUM test, and almost every variable is integrated of order one in unit root test. The results also reveal that there is no long-term relationship among the deficits, government expenditure, and interest rates using the cointegration analysis. There are probably two reasons for explanation: one is that people will increase saving automatically, and another is that the increased interest rates in the tax cut may be offset by the decreased interest rates in debts financing. Moreover, the outstanding debts and interest rates exist a significant negative relationship of long-term equivalence, and further variance decomposition shows that the effect of debts on interest rates is higher than the effect of interest rates on debts in the variable¡¦s explanatory ability. To explain the significant negative relationship, the possible main causes are liquidity factor, and the psychological anticipation of saving in public bond form directly or indirectly; the secondary cause is the fluctuation of interest rates affects the willingness of government financing.