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.

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Traditional demonstration of price fluctuation in the wheat market, by the theory of supply and demand is not comprehensive enough. With limited understanding of macroeconomic effects on the wheat market, accurate prediction of wheat price is impossible. Given the Chinese self—sustainable food policy, grain imports is a sensitive topic which may incur fierce argument. In this paper, however, I emphasize effect of exchange rate on nominal wheat price. By application of the cointegration theory, CPI shows slight negative correlation with nominal wheat price, yet GDP and population move in the same direction as the wheat price. The cointegration study of exchange rate implies, with appreciating Chinese RMB, domestic buyers incline to purchase wheat from the cheaper foreign market. According to the Granger causality test, the whole package of variables suggests significant causal relation with the wheat price.

O presente trabalho busca avaliar os efeitos da liberalização financeira externa da economia brasileira sobre variáveis macroeconômicas como oferta de crédito ao setor privado, produto nominal, reservas internacionais, risco-país, taxa de juros e volatilidade cambial, no decorrer do período que vai de 1995 a 2014, por meio da estimação de dois modelos econométricos assentados em Vetores Autorregressivos: o primeiro com Mudanças Markovianas de Regime (MS-VAR), e o segundo com correção de erros vetorial (VEC). Além disso, realiza revisão da literatura teórica e empírica acerca da liberalização financeira externa e seus desdobramentos; apresenta os indicadores de abertura (ICC) - presente nos trabalhos de Cardoso e Goldfajn (1998), Soihet (2002), Laan (2007) e Cunha e Laan (2013), dentre outros - e de integração financeira (IIF); e expõe a história do processo brasileiro de liberalização financeira. No que tange aos resultados, ambas as metodologias econométricas apontam que: uma reversão do ciclo financeiro global impacta negativamente as duas dimensões da liberalização financeira externa da economia brasileira; um avanço da desregulamentação não gera efeitos significativos, o que contrasta com a posição favorável à plena conversibilidade da conta capital e financeira, defendida por Arida (2003a, 2003b, 2004); um aumento no grau de integração financeira engendra desdobramentos macroeconômicos problemáticos. No que tange ao modelo MS-VAR, sublinha-se que as consequências de um choque liberalizante são mais profundas em momentos de reversão do ciclo financeiro global, bem como que a endogeneidade dos controles, nos termos de Cardoso e Goldfajn (1998), é contingente à fase vigente do ciclo financeiro global. Quanto ao modelo VEC, destaca-se a precedência, no sentido de Granger, da variação da volatilidade financeira internacional frente à variação grau de integração financeira da economia brasileira, e deste frente à variação do risco-país. Conclui que, se não é possível descartar os benefícios da abertura financeira, há que se redobrar a atenção frente a seus riscos, considerando também as consequências negativas em termos de grau de integração financeira e a influência do ciclo financeiro global. / This study aims to evaluate the external financial liberalization of the Brazilian economy on macroeconomic variables such as country risk, credit supply to the private sector, exchange rate volatility, interest rate, international reserves and nominal product, during the period from 1995 to 2014, by estimating two Vectors Autoregressive econometric models: the first with Markov-Switching (MS-VAR), and the second with Vector Error-Correction (VEC). In addition, this study aimed to: conduct a review of theoretical and empirical literature about external financial liberalization and its consequences; present financial opening index (ICC) - present in the work of Cardoso and Goldfajn (1998), Soihet (2002), Laan (2007) and Cunha and Laan (2013), among others - and financial integration index (IIF); and exposing the history of Brazilian process of financial liberalization. With respect to the results, both econometric methodologies show that: a reversal of the global financial cycle adversely impacts the two dimensions of external financial liberalization of the Brazilian economy; an advance of deregulation does not generate significant effects, in contrast to the position in favor of capital account full convertibility, advocated by Arida (2003a, 2003b, 2004); an increase in financial integration creates problematic macroeconomic developments. Regarding the MS-VAR model, it points out that the consequences of a liberalizing shock are deeper in times of reversal of global financial cycle and that the endogeneity of capital controls, from Cardoso and Goldfajn (1998), is contingent on current phase of the global financial cycle. Regarding the VEC model, there is precedence, in Granger terms, of the international financial volatility variation over the Brazilian economy financial degree variation, and from it to country risk variation. It is concluded that if it cannot be dismissed the benefits of financial openness, we must exercise caution against its risks, also considering the negative consequences in terms of financial integration degree and the influence of global financial cycle.

O presente trabalho busca avaliar os efeitos da liberalização financeira externa da economia brasileira sobre variáveis macroeconômicas como oferta de crédito ao setor privado, produto nominal, reservas internacionais, risco-país, taxa de juros e volatilidade cambial, no decorrer do período que vai de 1995 a 2014, por meio da estimação de dois modelos econométricos assentados em Vetores Autorregressivos: o primeiro com Mudanças Markovianas de Regime (MS-VAR), e o segundo com correção de erros vetorial (VEC). Além disso, realiza revisão da literatura teórica e empírica acerca da liberalização financeira externa e seus desdobramentos; apresenta os indicadores de abertura (ICC) - presente nos trabalhos de Cardoso e Goldfajn (1998), Soihet (2002), Laan (2007) e Cunha e Laan (2013), dentre outros - e de integração financeira (IIF); e expõe a história do processo brasileiro de liberalização financeira. No que tange aos resultados, ambas as metodologias econométricas apontam que: uma reversão do ciclo financeiro global impacta negativamente as duas dimensões da liberalização financeira externa da economia brasileira; um avanço da desregulamentação não gera efeitos significativos, o que contrasta com a posição favorável à plena conversibilidade da conta capital e financeira, defendida por Arida (2003a, 2003b, 2004); um aumento no grau de integração financeira engendra desdobramentos macroeconômicos problemáticos. No que tange ao modelo MS-VAR, sublinha-se que as consequências de um choque liberalizante são mais profundas em momentos de reversão do ciclo financeiro global, bem como que a endogeneidade dos controles, nos termos de Cardoso e Goldfajn (1998), é contingente à fase vigente do ciclo financeiro global. Quanto ao modelo VEC, destaca-se a precedência, no sentido de Granger, da variação da volatilidade financeira internacional frente à variação grau de integração financeira da economia brasileira, e deste frente à variação do risco-país. Conclui que, se não é possível descartar os benefícios da abertura financeira, há que se redobrar a atenção frente a seus riscos, considerando também as consequências negativas em termos de grau de integração financeira e a influência do ciclo financeiro global. / This study aims to evaluate the external financial liberalization of the Brazilian economy on macroeconomic variables such as country risk, credit supply to the private sector, exchange rate volatility, interest rate, international reserves and nominal product, during the period from 1995 to 2014, by estimating two Vectors Autoregressive econometric models: the first with Markov-Switching (MS-VAR), and the second with Vector Error-Correction (VEC). In addition, this study aimed to: conduct a review of theoretical and empirical literature about external financial liberalization and its consequences; present financial opening index (ICC) - present in the work of Cardoso and Goldfajn (1998), Soihet (2002), Laan (2007) and Cunha and Laan (2013), among others - and financial integration index (IIF); and exposing the history of Brazilian process of financial liberalization. With respect to the results, both econometric methodologies show that: a reversal of the global financial cycle adversely impacts the two dimensions of external financial liberalization of the Brazilian economy; an advance of deregulation does not generate significant effects, in contrast to the position in favor of capital account full convertibility, advocated by Arida (2003a, 2003b, 2004); an increase in financial integration creates problematic macroeconomic developments. Regarding the MS-VAR model, it points out that the consequences of a liberalizing shock are deeper in times of reversal of global financial cycle and that the endogeneity of capital controls, from Cardoso and Goldfajn (1998), is contingent on current phase of the global financial cycle. Regarding the VEC model, there is precedence, in Granger terms, of the international financial volatility variation over the Brazilian economy financial degree variation, and from it to country risk variation. It is concluded that if it cannot be dismissed the benefits of financial openness, we must exercise caution against its risks, also considering the negative consequences in terms of financial integration degree and the influence of global financial cycle.

The aim of the thesis is to reveal the relationship between stock indices and GDP of selected countries. The theoretical part explains the concepts of financial mar-kets, the essence of a functioning of public limited companies and earlier studies dealing with this theme are also included. The practical part is focused on an ac-tual relationship between the variables, both in terms of its existence, its strength and direction. To reveal the relationship between variables and its strength, the correlation analysis is used. Then In case of direction of this relationship a multivariate time series analysis is used in a form of the VAR model using Granger causality.

The indebtedness of Swedish households has more than doubled in the last ten decades despite the implementation of a mortgage ceiling and stricter amortization requirements. This study takes form to investigate how it is possible that debt related to housing is rising while new regulations against it has been set and how housing prices continues to increase when lending is supposed to be harder.This analysis estimates whether there are indications of an existing price bubble in the housing market of Stockholm. It is done by testing fundamental economic factors to the price index of housing in Stockholm, to see if they support the price development. If the analysis shows that housing prices cannot be predicted by the fundamental economic factors, it is possible that the price is a self-running series1 which could be an indicator of a price bubble. If fundamental factors that are being used as control variables seem to follow the same trend as the price development of the housing market, the speculation of price bubble will be rejected.

Value-at-Risk (VaR) model fails to predict financial risk accurately especially during financial crises. This is mainly due to the model’s inability to calibrate new market information and the fact that the risk measure is characterised by poor tail risk quantification. An alternative approach which comprises of the Expected Shortfall measure and the Lognormal Jump-Diffusion (LJD) model has been developed to address the aforementioned shortcomings of VaR. This model is called the Simulated-Expected-Shortfall (SES) model. The Maximum Likelihood Estimation (MLE) approach is used in determining the parameters of the LJD model since it’s more reliable and authenticable when compared to other nonconventional parameters estimation approaches mentioned in other literature studies. These parameters are then plugged into the LJD model, which is simulated multiple times in generating the new loss dataset used in the developed model. This SES model is statistically conservative when compared to peers which means it’s more reliable in predicting financial risk especially during a financial crisis. / Statistics / M.Sc. (Statistics)

為了控制健保醫療費用的成長速度，我國全民健保自2002年開始全面實施總額預算制，在總額預算制下醫療費用總額泱定於事前協商之每人醫療費用成長率，因此為提供一合理客觀之成長率協商依據，本研究建構一醫療費用成長時間序列隨機模型，並佐以總體經濟模型，利用模擬結果推估未來15年部分總體經濟變數數值及醫療費用成長率。 利用常用以預測總體經濟相關變數之VAR MODEL，本研究檢測發現平均國民所得、醫療物價指數、消費者物價指數及失業率之成長率，明顯受到自身及其他三個變數之前四期數值之影響。 此外，根據本研究之研究結果，醫療費用占國民所得比重成長率除了受到季節因素影響以外，與其自身前期及人口老化指數呈正向關係，與醫療物價指數則呈反向關係，同時具備MA(1)之時間趨勢。 關鍵字：全民健康保險、醫療費用、隨機模型、VAR MODEL、模擬。

M. Comm. / Although there has been several work done on monetary policy and inflation in South Africa, this dissertation is intended to add and expand on the existing literature on the subject with data dating back to 1970. The dissertation was inspired by recent international research that has indentified that a large Bayesian VAR model normally performs better than the normal SVAR model. Given that there has already been differing conclusions in literature on whether interest rates are effective as a tool to control inflation, there is therefore an opportunity to assess monetary policy using a different and more robust modelling framework. The choice of a sample is informed by the fact that prior to inflation targeting and within the period under consideration; interest rates remained a core factor in monetary policy management. Some of the literature will be discussed in detail in chapter 2. This dissertation will introduce the large BVAR model with 14 variables in the South African economy. In comparison, the SVAR model suffers from the curse of dimensionality that is eliminated by using more variables with the Large Bayesian VAR with the response functions of all 14 variables. The objective is therefore to determine whether interest rate changes in South Africa have a meaningful and desired effect on inflation. A substantial amount of recent literature was done within the environment of inflation targeting; however, our study intends to measure more the responsiveness of interest rates and other macro variables to monetary policy. The period of inflation targeting in South Africa provides more useful data and evidence on the responsiveness of the macro variables given the direct policy approach it represents versus the previous regime and hence it is covered in more detail in the dissertation. We also assess, in the process, the main drivers behind inflation in South Africa, in an effort to establish whether the country suffers from cost- push or demandpush. The type of inflation should also assist in providing recommendations on the appropriate response to inflation.