In the purpose of this study we examine the long run relationship between the flower wholesale markets in Taiwan by the theory of Park (2007). The market integration is analyzed from the viewpoint of the Law of One Price (LOP). The LOP means that the products flow from the lower price markets to the higher price ones without transaction cost utill everywhere have the same price. However, in a situation that the transaction cost exists, the assumption of LOP is questionable. When the price difference between two markets exceeds the transaction cost, there is an arbitrage opportunity. This study examine the relationship between the flower wholesale markets in Taiwan by threshold cointegration theory. The result is that there indeed exists long run relationship and threshold effects. In addition, we consider a time-varing threshold cointegration model in Park (2007), to see whether there are different arbitrage behavious depending on the season between the flower wholesale markets. Finally, we have a result that the same price gap between markets in different season will be in different regime because of the change of the value of threshold. And it causes the seasonal arbitrage behavious.

This paper reexamines the long-run real interest rate parity of the OECD countries by using the unit root test proposed by Ng and Perron (2001) and by the application of simulation to establish the small sample distribution under the null and the alternative hypothesis. By using the small sample distribution of the unit root statistics, we can make sure that first, size distortions are not the reasons contributing to the rejection of the fact that the alternative hypothesis is unit root. Second, the inference that the low power is not necessary causes the not rejecting the alternative hypothesis is correct. If still can not decide which distributions might cause the real interest difference series by comparing the unit root statistics and the relative location of the small sample distribution, we test that whether the series are asymmetric in those countries which we can not decide what kind of distributions they are by the threshold autoregression model proposed by Caner and Hansen (2001). Finally, the empirical results indicate that the RIPH holds in Australia¡BBelgium¡BCanada¡BFinland¡BFrance¡BGermany¡BJapan and Sweden whenever data frequency under linear time series model. Under quarterly data of Italy and United Kingdom and monthly data of Denmark, it turns out that the data have the traits of nonlinear time series model. Besides, the evidence of supporting the long-run real interest rate parity can not be reached and the phenomena that partial unit root exist in United Kingdom and Denmark.

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.

The “special treatments” of automobile industry in China, especially in the forms of local protectionism, have been criticized as evidences of domestic market fragmentation for long. Whether these “special treatments” have stunted the integration of a national auto market in China remains a question. This paper seeks to examine the degree of market integration in the automobile markets in China by using tests of cointegration between prices of spatial markets. Several econometric approaches for spatial price analysis, including the ADF unit root test, Maddala-Wu’s Fisher type panel unit root test and more restrictive Dufour-Torres panel unit root test are applied to monthly average retail prices for the main models sold across 36 cities from 1994-2006. Besides the above conventional linear methods, the author also applies the newly developed nonlinear unit root method proposed by Kapetanios et al. (2003). Test results indicate that the nonlinear test support convergence more often than the conventional linear unit root tests. Moreover, they also reveal that price convergence and hence market integration hold for majority of models and markets. The paper also investigates possible explanatory factors in price disparities of auto markets among cities. As the evidence shows, the geographic distance between markets, difference of per capital income, and the existence of local production play important roles in the absolute price differentials as well as the volatility of price differentials among cities.

nÃo hà / The real estate investment (REI) is a newly created investment vehicle and still under constant development. Introduces, as basic characteristic, a property used for rental as the main asset. Governed by federal laws and regulations of the CVM instruction, regulatory frameworks help to give credibility to this investment vehicle. The REIs have tax benefits and remunerate its shareholders with regular income through rents. In addition, we present a third types of gain, which is the value of the shares of real estate funds. The current characteristics have a debonding between the equity and value of your shares, setting its recovery from supply and demand in the market. The study of this factor recovery was used to study development. Featuring a conservative perspective while being traded at BOVESPA, the question to be answered is whether the REI have a conservative characteristic when compared with other market indicators, such as IMOB, IBOVESPA, CDI, the IGP and INCC. And especially if there is a tendency over time with these same indicators, allowing to verify long-term behavior. With a stochastic characteristic non-stationary, the REI are cointegrated with the market indicators. The presentation of this tendency implies on a similar behavior over time, making it understandable with what market indicator the real estate investment presents tendency. Thus, the REI can be considered conservative investments, which have two returns (valuation of shares and payment of monthly rent), have characteristics of present value above the market benchmarks, low total and systemic risks and can be used as protection for stock investors, as a hedging tool. / O fundo de investimento imobiliÃrio (FII) à um instrumento de investimento recentemente criado e ainda em constante desenvolvimento. Apresenta como caracterÃstica bÃsica, possuir como o ativo principal um imÃvel utilizado para locaÃÃo. Regidos por leis federais e por instruÃÃes normativas da CVM, os marcos regulatÃrios ajudam a dar credibilidade a este instrumento de investimento. Os FII apresentam benefÃcios tributÃrios e remuneram seus cotistas atravÃs de receitas periÃdicas com aluguÃis. AlÃm destes, à apresentada uma terceira tipologias de ganho, que à a valorizaÃÃo das cotas dos fundos imobiliÃrios. As caracterÃsticas atuais apresentam um descolamento entre o patrimÃnio lÃquido e o valor das suas cotas, configurando uma valorizaÃÃo proveniente da oferta e procura pelas mesmas no mercado. O estudo desta valorizaÃÃo foi o elemento utilizado para o desenvolvimento do estudo. Apresentando uma perspectiva conservadora embora sendo negociado na BOVESPA, a pergunta a ser respondida à se os FII apresentam uma caracterÃstica conservadora comparado com outros indicadores de mercado, tais como o IMOB, o IBOVESPA, o CDI, o IGPM e o INCC. E principalmente se existe tendÃncia ao longo do tempo com estes mesmo indicadores, possibilitando verificar comportamento de longo prazo. Com uma caracterÃstica estocÃstica nÃo estacionÃria, os FII sÃo co-integrados com os indicadores de mercado. A apresentaÃÃo desta tendÃncia determina comportamento semelhante ao longo do tempo, fazendo com que possa ser entendido com qual indicador de mercado o fundo imobiliÃrio apresenta tendÃncia. Desta forma, os FII podem ser considerados investimentos conservadores, que apresentam duas rentabilidades (valorizaÃÃo das cotas e pagamento mensal de aluguel), possuem caracterÃsticas de apresentarem valorizaÃÃo acima dos benchmarks de mercado, apresentam baixo risco total e sistÃmico e podem ser utilizados como proteÃÃo para quem investe em aÃÃes, como uma ferramenta de hedge.

本文改良了Shafiee-Topal(2010)所提出之跳躍模型之波動率，並歸納成三種模型:改良跳躍模型、改良平滑跳躍模型以及最佳化跳躍模型，並運用時間序列模型探討樣本期間內黃金價格。第一部份比較三種跳躍模型與Shafiee-Topal模型在訓練集及測試集的預測結果，並預測2012年至2018年之黃金價格走勢。第二部份探討黃金價格、原油價格以及美元加權指數之間的互動關係，建立多變數模型以預測黃金價格之長期趨勢。 首先，本文檢驗黃金價格、原油價格及美元加權指數樣本之恆定性，經由ADF 單根檢定法發現序列具有單根，進而使用TSP(Trend Stationary Process)估計模型參數。其次，黃金價格、原油價格及美元加權指數經共整合檢定發現，各模型變數間均具有共整合關係，即變數間具有長期均衡關係。黃金價格與原油價格呈正向反應，而黃金價格和原油價格與美元加權指數呈負向反應，除了受自身的預測解釋能力外，亦可以做為觀察其他變數的未來走勢方向及影響大小預估。最後，探討黃金價格受波動率的影響情形，本文改良Shafiee-Topal模型之波動率，並比較四種模型對黃金價格趨勢預測之結果，發現改良平滑跳躍模型在實際黃金價格波動率大時，其趨勢預測結果會優於Shafiee-Topal模型。 / This research advanced the volatility component (λ) of the jump and dip model (Shafiee and Topal,2010) on gold prices from 1968 to 2012 and estimated the gold price for the next 6 years. Based on the trend stationary process, we defined the three components and derived three new models: Adjusted Jump and Dip Model, Adjusted Smooth Jump and Dip Model and Optimized Jump and Dip Model. First part of the thesis compared the performance in prediction of the training data and the testing data for three different models and the jump and dip model. Second part of the thesis investigated the relationship among the gold price, crude oil price, and trade weighted U.S. dollar index of the concepts The result illustrated the long term trend of gold price described by a multivariate predictive model. We found evidence that different levels of volatility affect the prediction of gold price, and the adjusted jump and dip Model performs best when the true volatility is relatively high.

This thesis estimates the quarterly electricity demand of Turkey. First of all proper seasonal time series model are found for the variables: electricity demand, temperature, gross domestic product and electricity price. After the right seasonal time series model are found Hylleberg, Engle, Granger and Yoo (1990) test is applied to each variable. The results of the test show that seasonal unit roots exist for the electricity price even it cannot be seen at the graph. The other variables have no seasonal unit roots when the proper seasonal time series model is chosen. Later, the cointegration is tested by looking at the vector autoregressive model. As the cointegration is seen vector error correction model is found. There is long-run equilibrium when the price is the dependent variable and independent variable is gross domestic product. Temperature is taken as exogenous variable and demand is not statistically significant.

This study presents our attempt to examine the linkages and to investigate the linkage of stock price indexes among Taiwan, China and its major trading countries. Our empirical analysis employs daily data on stock price indexes over the period of January 2, 2000 to May 10, 2010. The total number of observations is about 2500. This study employ a sequence of time-series methodologies, including unit root test, cointegration test, vector error correction model, Granger causality test, Criterion, autocorrelation test, heteroscedasticity test, GARCH and Bi-GARCH. The findings of this study as follows. First, after first difference, every stock price indexes series all became stationary. Second, we found there has no long-run interrelationship among these stock markets. Third, we found that Taiwan¡¦s stock market exits leading role to China¡¦s stock market, but other countries¡¦ stock market lead Taiwan¡¦s stock market. For China, the stock market of United States, Japan, Taiwan and Hong Kong has a leading role to China¡¦s stock market. Only the rela-tionship between South Korea and China¡¦s stock market is independent. Forth, the result of autocorrelation test and ARCH test indicates that the influence of stock price indexes of major trading countries to Taiwan and China¡¦s stock price index has changed over time. Finally, the result of study indicates that every stock market can forecast its future trend by using its past stock data and investor can use the past stock data of stock market of major trading countries to forecast Taiwan and China¡¦s stock market.

Tex., Rice Univ., Diss.--Houston, 2003. / Kopie, ersch. im Verl. UMI, Ann Arbor, Mich. - Enth. 3 Beitr.

Freie Universiẗat, Diss.--Berlin, 2005.