本篇主要為原物料指數與總體經濟物價間動態關聯性的研究。由於近年來糧食價格高漲，本研究選取CRB現貨指數（Commodity Research Bureau）、CCI期貨指數（Continuous Commodity Index），與CRB農產品指數為原物料指數以觀察原物料價格對總體面物價影響的程度；研究期間為2001年10月至2011年3月；總經物價指標選擇生產者物價指數（PPI）、消費者物價指數（CPI）、再加上國內生產毛額（GDP）；選取的國家為美國、臺灣與中國。本研究以Johansen共整合、向量自我迴歸模型、向量誤差修正模型、Granger因果關係檢定及衝擊反應分析等方法，探討三項原物料指數與總體經濟指標的互動關係。 研究結果顯示，原物料指數與總體指標之間的長期均衡關係不明顯。因果檢定顯示，CCI指數在因果檢定上領先CRB指數與CRB農產品指數；除了美國的GDP之外，CCI指數也領先各項總體經濟指標，但不論是CRB現貨指數或CRB農產品指數，對總經物價指標的領先-落後關係都不明顯，表示在CCI指數為較佳的預測指標。由衝擊反應分析的結果顯示，除了有共整合關係的變數間相互影響為長期性之外，受影響的物價指標僅在短期內會受到原物料價格變動的影響：總體物價指標面對原物料價格波動的反應約3期之後反應便逐漸消失，顯示原物料價格與總體物價指數之間的短期失衡期間並不長。 / This paper investigates the relationship between the commodity indexes and macroeconomic price indexes. Due to the sharp increase of food price in recent years, we add CRB index (Commodity Research Bureau), CCI index (Continuous Commodity Index), and CRB foodstuffs index in the research to see the magnitude of commodity price indexes to macroeconomic price indexes. This paper selects United State, Taiwan and China as samples and manages to find out the relationship of commodity indexes and macroeconomic price indexes by applying monthly data from October 2001 to March 2011. Macroeconomic price indexes are PPI (Producer Price Index), CPI( Consumer Price Index) and plus GDP Index. This paper tries to get the answer by applying Johansen Cointegration Test, Vector Autoregression Model(VAR), Vector Error Correction Model (VECM), Granger causality test and Impulse Response Analysis. The result does not show obvious long-term relationship between commodity price indexes and macroeconomic price indexes; and Granger causality test exhibits that CCI index takes the lead in the change of time. But we do not get consistent result between CRB index, CRB foodstuffs index and macroeconomic price indexes in Granger causality test which means commodity spot indexes do not necessarily lead in the change of time. This result implies that CCI index a better indicator in forecasting. According to Impulse Response Analysis, macroeconomic price indexes are influenced by commodity index only in a short period of time and this result tells us that the disequilibrium between commodity indexes and macroeconomic price indexes will not last long.

本篇探討在2010年4月16日滬深300股指期貨正式上市到2012年9月18日止的連續近月每日收盤日資料，進行區域內金融期貨市場連動關係的研究，試圖發現兩岸三地之股價指數期貨市場在亞太地區的金融主導地位，以作為國內外投資者在區域內的投資決策參考。 實證結果顯示，從共整合及向量誤差修正模型檢定發現，兩岸三地股指期貨具有長期均衡及短期的互動關係，因此可以視此三地為單一區域市場。在Granger因果檢定上，台股指數期貨雖無法預測恆生指數期貨，但仍明顯領先滬深300股指期貨且程度大於恆生指數期貨，或可推測兩岸因ECFA的簽訂使實體經濟的關聯性更為緊密，至於恆生指數期貨大多以金融、地產股為其主要成分，與大陸主要以實體經濟為主的金融市場，其Granger預測滬深300股指期貨的能力因此相對較弱。另由衝擊反應檢定得知恆生指數期貨為一獨立的市場，不受台灣及大陸指數期貨市場衝擊的影響；滬深300指數期貨因大陸金融市場逐漸開放，也會受到香港及台灣金融期貨市場之衝擊而產生影響；至於台股指數期貨則在兩岸三地，最易受到其他市場影響。最後由預測變異數分解檢定發現，台股指數期貨及滬深300股指期貨的波動皆易受到恆生股價指數期貨變異的影響，而恆生指數期貨在兩岸三地間之解釋能力最強，於兩岸三地間具金融主導地位。至於台股指數期貨對大陸金融期貨的影響也有突出的表現，因此若政府有心推展亞太金融中心之營運，勢必得加強區域間整合的力度，提出有利吸引外資之最政策，以增加台灣股市於國際間之競爭力。 / This study conducts analysis of regional linkage between financial futures market by examining consecutive daily closing information from April 16, 2010 (the official list date of CSI 300 index futures) to September 18, 2012. This study tries to find the financial dominance of these index futures market in the Asia Pacific region and hopefully it may be used as an investment decision reference for domestic and foreign investors. The empirical results show that from the total integration and vector error correction model tests and three places all indicate long-run equilibrium stock index futures and short-term interaction. Therefore, these three places can be viewed as a single regional market. In the Granger causality test on the TAIEX futures and Hang Seng Index futures, in spite of TAIEX futures can’t predict Hang Seng Index futures, it is significantly ahead of the CSI 300 index futures. TAIEX futures on the CSI 300 index futures even more impact than the Hang Seng Index Futures. It can explain that the ECFA has been signed and results show closely-related economy. Since the Hang Seng Index futures are mainly from financial and real estate stocks while the mainland-based financial market is mainly from the real economy, Granger predicts ability of CSI 300 index futures is relatively weak. Another test on the impulse response shows that (1) Hang Seng Index Futures is an independent market and is not affected by shocks from Taiwan and the mainland index futures markets, (2) CSI 300 index futures is affected by shocks from Hong Kong and Taiwan because of the gradually open financial markets, and (3) TAIEX futures can be seen as a potential Taiwanese dish economy because it is most vulnerable to other market influences among the three places. To sum up, the forecast variance decomposition tests show that TAIEX futures and the CSI 300 stock index futures are vulnerable to fluctuations in the Hang Seng index futures. In order words, the Hang Seng Index futures have the strongest explanatory power among the three places and shows financial dominance. The TAIEX futures also show its significant impact on the mainland China financial futures index. If the Government decides to promote the operation of the Asia-Pacific financial center and to increase competitiveness of Taiwan stock market, it will inevitably have to strengthen inter-regional integration efforts and make the most favorable policies to attract foreign investment.

金融商品的價格變動是投資人用以判斷獲利與否的重要工具，因為價格變動不易精確預測，所以常利用其他變數輔助預測價格變動，其中以交易量最常被投資人用來分析價格變動。本文是利用台灣首檔指數型股票基金「台灣50指數股票型基金，簡稱TTT」，分析基金的價格變動與交易量之間的關係。 由於TTT具有「實物申購╱買回」機制，當TTT發生折溢價現象時，投資者會利用此機制進行策略性的投資。因此，「實物申購╱買回」機制使用，會對TTT交易量產生影響，並且使得基金淨值與價格更為貼進。所以本文也將分析TTT折溢價與交易量之間的關係。 本研究利用Granger因果關係理論檢測變數之間的因果關係，實證結果發現，TTT的交易量與價格變動呈現雙向因果關係，且折溢價對於交易量具有單向因果關係，即折溢價可以解釋和預測交易量變動，並且折溢價偏離的現象在半天之內會消失。因此，歸論「實物申購╱買回」機制能有效發揮其作用。 / This study examines intraday patterns of the Taiwan Top 50 Tracker Fund (TTT), with special emphasis on the causal relationship between trading volume and return, and the causal relationship between trading volume and deviation ratio. We find strong intraday seasonality, namely the W-shaped trading pattern which appeared to be caused by the so-called lunch-break effect. After accounting for this apparent seasonality, and by employing the Granger causality test, we find that there is a causal bi-direction relationship between trading volume and absolute return. However, there only exists a uni-directional causal relationship from the deviation ratio to trading volume, but not vice versa. Also, the deviation is disappeared within half day.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / Globalization provoked in financial markets by means stock exchanges an interchange among the markets over the world. The aim of this study was to examine the relationship of the ten major main economic index of the world represented in New York (DJIA, S&P500 e Nasdaq), Tokyo (NIKKEI 225), London (FSTE 100), São Paulo (IBOV), Shanghai (SSE180), Paris (CAC-40), Frankfurt (DAX-30) and Buenos Aires (Merval) and looking for its co-integration, to demonstrate the behavior of these indexes and the long run equilibrium, from January of 2010 to March of 2011. To investigate the equilibrium and the long rum behavior the error correction model was used jointly with co-integration test and impulse response based on Cholesky decomposition. The results of this study show that the index of stock markets has long term equilibrium, and American markets, Argentina and English showed a strong influence over other markets. With this research we can infer that a relationship exists between the stock markets under study, confirming that the economy in a country can influence the others. In this sense, the contribution of this study, given this range of discussions involving the interconnection of economies with respect to trades made on the stock exchanges, was to show the relationships and influences in the world. / A internacionalização somada à abertura dos mercados financeiros transformou as economias antes fechadas em economias abertas, provocou um intercâmbio entre as economias mundiais por meio das bolsas de valores. O objetivo deste estudo é examinar a relação entre os dez principais índices econômicos do mundo, sendo eles: Nova York (DJIA, S&P500 e Nasdaq), Tóquio (Nikkei 225), Londres (FSTE 100), São Paulo (IBOV), Shangai (SSE180), Paris (CAC), Frankfurt (DAX-30) e Bueno Aires (Merval), por meio da análise de co-integrações para demonstrar o comportamento desses índices e seus equilíbrios no período de janeiro de 2010 a março de 2011. Para investigar e verificar o comportamento em longo prazo, foi utilizado o modelo de correção de erros e teste de impulso-resposta baseado na decomposição de Cholesky. Os resultados deste estudo mostram que existe equilíbrio em longo prazo entre os índices do mercado de ações. Os mercados americano, argentino e inglês mostraram forte influência sobre os demais mercados. Com esta pesquisa, verifica-se que existe uma relação entre os mercados de ações estudados, confirmando que a economia de um país influencia as demais. A contribuição deste estudo é verificar a assertiva das discussões atuais sobre a dependência das economias mundiais com as negociações por meio da bolsa de valores.

This essay examines the relationship between exchange rate volatility, estimated using a GARCH model, and level of trade for Sweden and Finland. The data used was collected from Refinitive Eikon Datastream with monthly observations for the time period January 2005 - December 2022. The obtained results indicate that the volatility of the Swedish Krona and Euro positively increases the level of trade for Sweden respectively Finland according to the ARDL model. However, while examining different time perspectives the conclusions resulted in inconclusiveness for the countries and perspectives. The ARDL bounds test for Sweden corresponded with inconclusive results regarding a possible positive long term relationship between SEKs exchange rate volatility and level of trade. Furthermore, the Granger causality test did not state a short term relationship between the two variables for Sweden nor did it state a reversed relationship. On the other hand, for Finland, the ARDL bounds test and Granger causality test denied both a long term and short term positive relationship between the EURs exchange rate volatility and level of trade for Finland. However, for Finland a reversed Granger causality test was shown indicating that the level of trade has an impact on the volatility of the EURs exchange rate.

Esta tese examina o problema de detecção de conectividade entre séries temporais no sentido de Granger no caso em que a natureza não linear das interações não permite sua determinação por meio de modelos auto-regressivos lineares vetoriais. Mostra-se que é possível realizar esta detecção com auxílio dos chamados métodos de Kernel, que se tornaram populares em aprendizado por máquina (\'machine learning\') já que tais métodos permitem definir formas generalizadas de teste de Granger, coerência parcial direcionada e função de transferência direcionada. Usando simulações, mostram-se alguns exemplos de detecção nos quais fica também evidente que resultados assintóticos deduzidos originalmente para estimadores lineares podem ser generalizados de modo análogo, mostrando-se válidos no presente contexto kernelizado. / This work examines the connectivity detection problem between time series in the Granger sense when the nonlinear nature of interactions determination is impossible via linear vector autoregressive models, but is, nonetheless, feasible with the aid of the so-called Kernel methods that are popular in machine learning. The kernelization approach allows defining generalised versions for Granger tests, partial directed coherence and directed transfer function, which the simulation of some examples shows that the asymptotic detection results originally deducted for linear estimators, can also be employed under kernelization if suitably adapted.

Esta tese examina o problema de detecção de conectividade entre séries temporais no sentido de Granger no caso em que a natureza não linear das interações não permite sua determinação por meio de modelos auto-regressivos lineares vetoriais. Mostra-se que é possível realizar esta detecção com auxílio dos chamados métodos de Kernel, que se tornaram populares em aprendizado por máquina (\'machine learning\') já que tais métodos permitem definir formas generalizadas de teste de Granger, coerência parcial direcionada e função de transferência direcionada. Usando simulações, mostram-se alguns exemplos de detecção nos quais fica também evidente que resultados assintóticos deduzidos originalmente para estimadores lineares podem ser generalizados de modo análogo, mostrando-se válidos no presente contexto kernelizado. / This work examines the connectivity detection problem between time series in the Granger sense when the nonlinear nature of interactions determination is impossible via linear vector autoregressive models, but is, nonetheless, feasible with the aid of the so-called Kernel methods that are popular in machine learning. The kernelization approach allows defining generalised versions for Granger tests, partial directed coherence and directed transfer function, which the simulation of some examples shows that the asymptotic detection results originally deducted for linear estimators, can also be employed under kernelization if suitably adapted.

In this study, linear and nonlinear Granger causality tests are used to examine the dynamics, including return to return and volume to volume relationships, between warrants and their underlying stocks in Taiwan Stock Exchange (TSEC). Results of previous studies are mixed and they only focus on linear relationship between the two markets. Here we take nonlinear relationship into consideration to assist in investigating what the direction of information flow is. We use intraday five-minute high frequency data and the result tells that, overall, for both return to return and volume to volume relations, there is bidirectional but asymmetry linear causality and weak unidirectional nonlinear causality from stock to warrant market between these two markets. Combining the linear and nonlinear results we conclude that the direction of information flow is mainly from stock market to warrant market.

本文使用共積檢定以及因果關係檢定方法，針對美國第三波購併風潮前後時期，檢定購併家數、股價及工業生產指數三個變數間的可預測性。不同以往的是，本文除了將購併風潮分段進行研究外，並以晚近由Hoornik 及Hendry（1997）以Johansen（1988）為基礎所發展的一套共積檢定法來檢定變數間的長期均衡關係，再以Toda and Phillips（1994）的因果關係檢定流程與SSW的因果關係檢定分別檢定出變數間的可預測性。 經由本文實證結果發現： （1）購併、股價及工業生產指數三個變數，在ADF單根檢定結果三變數皆呈I（1）非恆定時間數列。並進一步以共積檢定檢測出不論參變數或購併和股價兩變數模型，1967年第四季以前變數間皆有一共積關係存在，1968年以後則無任何共積關係。 （2）從因果關係檢定結果發現，三變數體系中，股價與工業生產指數兩變數間可能存在極高的線性重合現象，且子期間礙於無法取夠長的遞延期數，使得工業生產指數對其他變數的影響力無法明確地反應出來，故三變數模型無法正確的檢定購併風潮前後變數間的因果關係。 （3）在購併與股價變數間的因果關係檢定研究中發現，1948~1967年間，股價對購併存在可預測性；然而1968~1979年間，股價與購併完全不存在任何可預測性。故可知購併風潮前後，股價對購併的可預測性發生了變化，從1967年前股價可合理地預測購併活動，到1967年後股價卻完全無法預測購併的情況。 （4）對影響購併的諸多因素做進一步的考量，發現威廉法案的出現對當時購併案件有相當程度的衝擊。 從實證結果可知，以共積與因果關係檢定方法一再地證明出，購併風潮前後股價對購併活動的可預性確實發生了結構性的變化。 第一章 緒論 第一節 研究背景與動機………………………………………….1 第二節 研究目的………………………………………………….3 第三節 購併之定義及相關基本概念…………………………….4 第四節 研究架構與流程………………………………………….8 第二章 文獻回顧 第一節 理論文獻回顧……………………………………………10 第二節 實證研究文獻回顧………………………………………13 第三節 文獻回顧總結……………………………………………23 第三章 實證研究方法 第一節 單根檢定………………………………………………..24 第二節 共積檢定…………………………………………………28 第三節 因果關係檢定……………………………………………34 第四節 實證檢定流程……………………………………………40 第四章 實證結果 第一節 實證資料來源……………………………………………43 第二節 Augmented Dickey-Fuller單根檢定………………….44 第三節 共積檢定……………………………………………....49 第四節 因果關係檢定……………………………………………55 第五節 因果關係檢定結果………………………………………78 第五章 法律因素的考量 第一節 時代背景….……………………………………….……79 第二節 檢視法條之影響力……………………………………..81 第三節 從案例角度分析………………………………………..84 第四節 威廉法案的威力………………………………………..87 第六章 結論…………………………………………………………88 附錄圖表（一）：各變數資料圖….………………………………90 附錄圖表（二）：共積殘差項圖………………………………….93 參考文獻…………………………………………………………….96

本文是探討管理浮動匯率時期（1978年第三季至1993年第三季），台灣地區經常帳盈餘發生的原因，同時考慮匯率因素、貨幣市場及商品與勞務市場吸納的情況。利用兩個向量自迴歸模型，分別納入：(1)匯率、利率、經常帳、消費節約及貨幣供給，(2)匯率、利率、經常帳、財政盈餘及貨幣供給，藉由因果關係檢定、預測誤差分解、及衝擊反應，分析經常帳失衡的原因。 　　實証結果指出：台灣地區經常帳盈餘，深受匯率、財政盈餘及消費節約的影響，這個結論與我國低估幣值與出口拓展的政策一致。且經常帳盈餘並不能夠顯著的影響貨幣供給，這個結論與央行沖銷的措施一致，其目的無非是要隔離國外部門影響國內貨幣。足見自由化的匯率政策，不但讓匯率反應出合理的水準值，同時可追求獨立的貨幣政策，配合著獎勵投資、消費及增加公共支出，增加國內吸納，藉以減少鉅幅的經常帳盈餘。