The thesis describes the EU/EC Twinning and TAIEX Instruments in the context of the management of these instruments by the Czech authorities and of the capacity for the Czech Republic to participate in these instruments as a 'service provider'. The main target is to provide the basic information about IPA/ENPI, Twinning and TAIEX, which should be further updated based on practical experience of the Czech experts involved in TW/TAIEX activities.

We study the intraday behavior of bid-ask spreads for actively traded TAIEX option in Taiwan. A study of quality of price quotation offered by market makers is important because the market makers have the responsibilities to keep trading costs low and promote price discovery. Due to the observed wider price quotation from market makers, we find that market makers offer inefficient price quotations to fulfill their obligations under requirement of market making. Moreover, ways of quotation market makers choose, indeed, affect the price quotation of market makers. We also find foreign institutional investors (QFIIs) and market makers bear lower execution cost when they deal on TAIEX option market. Overall, despite the large trading volume and increasing liquidity in TAIEX option, our results suggest that market makers do not play an important role to the market liquidity of TAIEX option market as we thought previously. / We study the intraday behavior of bid-ask spreads for actively traded TAIEX option in Taiwan. A study of quality of price quotation offered by market makers is important because the market makers have the responsibilities to keep trading costs low and promote price discovery. Due to the observed wider price quotation from market makers, we find that market makers offer inefficient price quotations to fulfill their obligations under requirement of market making. Moreover, ways of quotation market makers choose, indeed, affect the price quotation of market makers. We also find foreign institutional investors (QFIIs) and market makers bear lower execution cost when they deal on TAIEX option market. Overall, despite the large trading volume and increasing liquidity in TAIEX option, our results suggest that market makers do not play an important role to the market liquidity of TAIEX option market as we thought previously.

Straddles and strangles are common trading strategies introduced in a lot of textbooks and are widely used for option market participants. However, to our knowledge, we might not know how these trades should be designed, which trades are preferable, and how they are constructed in practice. Thus, we want to apply and discuss straddles and strangles as our trading strategies to the practical market. In our research paper, focusing on the time value and finding some profitable strategies are the two important concepts of our straddles and strangles. Being a sell side to earn the time value is our main goal. Although we may take higher risk, time value decay is helpful for us. The research focuses on straddles and strangles by using historical data of TAIEX futures and options. We use the closing price and settlement price as our trading price from data period January 2005 to December 2010. We also compare two different situations, holding positions to maturity and early offset condition, to our straddles and strangles. The findings show that the straddle strategies have positive earnings by holding positions to maturity, and 3 out of 4 strangle strategies have the same results. We can indeed earn the time value as a seller because time value decays quickly for the last seven days of the options contracts. After considering the early offset condition, the profitability of the ATM straddle and strangles become worse. We might easily fall into a trap in which the index futures price fluctuates greatly for a few days and comes back to the normal level on the settlement date. Therefore, we encounter loss due to selling low and buying high so that the trading performance is poor compared with the positions held to the end. Key words: Straddle Strategy, Strangle Strategy, Time Value, Settlement, Early Offset, TAIEX Options, TAIEX Futures

The price of stocks, futures, commodities and currency are for ever changing. Anyone interested in financial prices soon discovers that changes in prices are frequently substantial and are always difficult to forecast. This paper describes the behavior of prices from a statistical perspective. Specifically, employ several technical trading rules to uncover the trend of futures price movement and attempt to make profit out of the trend. In this paper, trading of seven technical trading systems is simulated for three futures contracts from September 1998 to March 2005 to test for market disequilibrium. The results differ by trading systems. Four systems produced positive mean net returns and five systems produced positive gross return when optimal parameters were used. These results indicate that, there exist opportunities to design profitable trading systems for futures markets.

本研究使用含外生多變數為門檻值之TAR模型，分析並預測103年到105年的台股指數。建構多變量之門檻自迴歸模式較傳統以時變或自變數自動控制值更能反映出時間數列結構改變的過程與趨勢。這對於模式分析與預測有更優的解釋能力。且含外生多變數為門檻值之多變量門檻模式的可適用範圍很廣，尤其是當時間數列中的結構改變的現象，來自於外在多個變數衝擊，或非線性現象。此時加入多個外生變數作為考量，更能精準分析資料和做預測。我們以台股指數為例，實證結果顯示，我們所提出之模型，較傳統預測方法有更高之準確度。 / In this research, we use exogenous multi-variables as threshold values to construct a threshold autoregressive model in order to analysis and forecast TAIEX index between 103 years and 105 years. Constructing the threshold autoregressive model with multi-variables is better to reflect the process and trend of the change in time series structure than traditional model. This provides the better explanatory ability for model analysis and forecast. Also, the threshold autoregressive model with multi-variables containing exogenous multi-variables can apply more range, especially, as the structure change in time series due to the exogenous multi-variables shock. Through adding more exogenous variables, one can analyze data and forecast accurately. In this paper, the empirical results of TAIEX index shows that the threshold autoregressive model with multi-variables containing exogenous multi-variables is more precise than the traditional way.

本文引用Pagan and Sossounovb（2003）針對Bry and Boschan（1971）景氣循環周期判定法修改後的法則，判定大盤與類股指數的牛市、熊市周期。將判定的周期結果畫成圖表，藉由簡單的圖表分析將可明確得知大盤周期與類股周期領先與落後的關係，並應用計量模型估計，找尋能夠顯著預測大盤周期變動方向的類股，或是檢驗大盤周期是否能夠預測類股周期方向；反之亦然。並且比較圖表分析與計量模型估計結果是否一致。 圖表分析與向量自我迴歸模型的實證結果一致，八大類股中，營建、金融、機電、塑化等四類股周期能夠顯著預測大盤周期走勢，其中以塑化類股最具預測能力；而大盤周期皆無法精準預測類股周期走勢。而羅吉斯迴歸模型結果也發現，營建、金融、機電、塑化等四類股周期能夠增加大盤周期走勢的預測機率；同樣的，大盤周期無法影響類股周期走勢的預測機率。

台灣加權股價指數(TAIEX)，可以說是台灣最重要的經濟指數之一。在預測的方法中，時間序列分析一直都是熱門的課題，也是最常被使用來研究股價預測的方法。近年來，模糊理論在生醫、財務、社會、電機等各領域都有不錯的應用與發展 。本研究欲透過模糊區間的預測，主要是以時間序列預測台灣加權股價指數，來作為模糊區間精確度的探討，並針對區間時間序列進行模式的建構診斷和預測。最後我們將以2012年第一季(Q1)，每日交易股價指數的最高價與最低價作為實際研究的例子，同時也比較不同預測方法所得的結果。結果顯示模糊區間預測提供不同於傳統預測方法所得的資訊，希望能提供投資者另一種投資的參考。 關鍵字 : 台灣加權股價指數(TAIEX) 、模糊理論、模糊區間、區間預測 / Taiwan Weighted Stock Index (TAIEX) is one of Taiwan's most important economic indicators. Among the forecasting methods of time series analysis is always a hot issue on the forecasting methods and is also the most commonly used to make the stock price predictions. In recent years , fuzzy theory makes a great of application and development in various fields , such as , biomedical , financial and social …etc.. For this study, through the fuzzy interval forecasting is mainly based on time series forecasting TAIEX as fuzzy interval accuracy of the construction of diagnosis and prediction of the mode and interval time series. Finally, we will take the daily highest / lowest stock index prices data in the first quarter of 2012 (Q1) for actual research example , and will compare different forecasting methods of the results. The results show that the fuzzy interval forecasting differented from the traditional one on the basis of these information. We hope to offer investors an alternative investment advice. Keyword : Taiwan Capitalization Weighted Stock Index (TAIEX) 、 Fuzzy theory 、 Fuzzy interval、Interval forecasting.

資料串流探勘是一個重要的研究領域，因為在現實中有許多重要的資料以串流的形式產生或被收集，金融市場的資料常常是一種資料串流，而通常這類型資料的本質是變動性大的。在這篇論文中我們運應了資料串流探勘的技術去預測台灣加權指數期貨的漲跌。對機器而言，預測期貨這種資料串流並不容易，而困難度跟概念飄移的種類與程度或頻率有關。概念飄移表示資料的潛在分布改變，這造成預測的準確率會急遽下降，因此我們專注在如何處理概念飄移。首先我們根據實驗的結果推測台灣加權指數期貨可能存在高頻率的概念飄移。另外實驗結果指出，使用偵測概念飄移的演算法可以大幅改善預測的準確率，甚至對於原本表現不好的演算法都能有顯著的改善。在這篇論文中我們亦整理出專門處理各類概念飄移的演算法。此外，我們提出了一個多分類器演算法，有助於偵測「重複發生」類別的概念飄移。該演算法相比改進之前，其最大的特色在於不需要使用者設定每個子分類器的樣本數，而該樣本數是影響演算法的關鍵之一。 / Data stream mining is an important research field, because data is usually generated and collected in a form of a stream in many cases in the real world. Financial market data is such an example. It is intrinsically dynamic and usually generated in a sequential manner. In this thesis, we apply data stream mining techniques to the prediction of Taiwan Stock Exchange Capitalization Weighted Stock Index Futures or TAIEX Futures. Our goal is to predict the rising or falling of the futures. The prediction is difficult and the difficulty is associated with concept drift, which indicates changes in the underlying data distribution. Therefore, we focus on concept drift handling. We first show that concept drift occurs frequently in the TAIEX Futures data by referring to the results from an empirical study. In addition, the results indicate that a concept drift detection method can improve the accuracy of the prediction even when it is used with a data stream mining algorithm that does not perform well. Next, we explore methods that can help us identify the types of concept drift. The experimental results indicate that sudden and reoccurring concept drift exist in the TAIEX Futures data. Moreover, we propose an ensemble based algorithm for reoccurring concept drift. The most characteristic feature of the proposed algorithm is that it can adaptively determine the chunk size, which is an important parameter for other concept drift handling algorithms.

本篇論文使用馬可夫移轉變異數模型探討台指選擇權之買權的波動性。馬可夫移轉變異數模型將條件變異設定為可隨時間變動而改變，甚至移轉到不同區間上。樣本在不同區間下的平滑機率估計值有助於捕捉資料特性，實證結果顯示當樣本落在高波動率區間上時，會對應著重大事件的發生，例如2004年台灣319槍擊案、2006年全球股災、2008年金融海嘯等。當樣本落在低波動率區間上時，會對應著投資人傾向將台股指數的上漲或下跌視為超漲或超跌，而賦予台指選擇權之買權負的時間價值。 / This paper investigates the volatility of TAIEX Call Options using Markov-switching variance model. The Markov-switching variance model allows the conditional disturbances to change as time passes and even switch between different regimes. The estimation of smoothed probabilities under different regimes facilitates to capture the characteristics of data. The empirical result shows that the high volatility regime is related to extraordinary events, such as 319 shooting incident in 2004, the global stock market crash in 2006, and the Financial Crisis in 2008. When in low volatility regime, investors tend to treat rise or fall in TAIEX as overreactions and give TAIEX Call Options turning points of time values.

由選擇權價格反推求算出的隱含波動率，可表示市場對未來波動的預期，亦間接反映出該選擇權的價值高低，成為投資者在制定交易策略時重要的依據。經由實證研究發現，CBOE VXO及VIX都可反應投資人的恐慌心理，因此能作為標的走勢的逆向指標，所以又稱為「投資人恐慌指標」。而台指市場並沒有波動率的指標可供投資人參考，所以本研究的目的，是依照臺灣指數選擇權之市場特性，修改多種隱含波動率的估計方法。依照下列比較基準，找出適合台指市場的波動率指數。 1. 報酬反向指標： 分析波動率指數變動與市場報酬之間的關係，觀察「反向非對稱變動行為」，以Vega指數的表現最明顯。 2. 週期行為： 所有波動率指數，在日內行為的偏離幅度都很有限，且週內行為並沒有異常的週期性。分析到期日效果，只有ATM指數在到期日前二日及交易當日顯著下降，顯示台指報酬在到期日前並沒有大幅的異常波動。 3. 預測能力： 比較各波動指數的預測能力優劣。使用避免假性迴歸的模型、每分鐘報價來計算實際波動率，以VIX指數的解釋能力最佳。 綜觀以上分析結果，發現無法找出單一最佳的台指波動率指標。所以若需要最佳的「投資人恐慌指標」，必須使用Vega指數；若想做預測分析，則必須使用VIX指數。