本文探討退休金發展程度與投資策略對股票市場發展的影響，並同時採用「縱橫門檻迴歸模型」（panel threshold model, PTM）及結合縱橫門檻模型與穩健迴歸的「穩健縱橫門檻迴歸模型」（robust panel threshold model, ROPTM）來研究此一議題。我們用退休基金投資證券市場的金額佔總額的比例為分類標準，將樣本分為高投資比例與低投資比例兩部分。對部分OECD國家及台灣的panel data分析後之結果顯示：在股票市場方面，若基金採高投資比例之投資策略，則退休金發展或投資股市比例越高，越能促進股市發展；採低投資比例策略的基金，對股市發展的影響並不顯著。 / This paper analyzes the impact of pension fund investment on securities markets using a panel threshold model (PTM) and a robust panel threshold model (ROPTM) which combines a panel threshold model with a robust regression model. We use panel data for some OECD countries and Taiwan to test the validity of our propositions. The data is divided into low and high investment regions based on the value of securities as a percentage of total financial assets of the pension fund. Our results are the following. In the high stock investment region, pension funds have a positive impact on stock markets. Whereas, in the low stock investment region, the positive impact seems to disappear.

本研究延續Shumway (2001) 從存活分析(Survival Analysis)觀點切入，利用離散型風險模型(Discrete-time Hazard Model)──亦即Shumway 所稱之多期邏輯斯迴歸模型(Multi-period Logistic Regression Model)，建立企業財務危機預警模型。研究選取1986 年至2008 年間718 家上市公司，其中110 家發生財務危機事件，共計6,782 公司/年資料 (firm-year)。有別於Shumway 提出的Log 基期風險型式，本文根據事件發生率圖提出Quadratic 基期風險型式，接著利用4組（或基於會計測量，或基於市場測量）時間相依共變量 (Time-dependent Covariate)建立2 組離散型風險模型(Log 與Quadratic)，並與傳統僅考量單期資料的邏輯斯迴歸模型比較。實證結果顯示，離散型風險模型的解釋變數與破產機率皆符合預期關係，而傳統邏輯斯迴歸模型則有時會出現不符合預期關係的情況；研究亦顯示離散型風險模型預測能力絕大多數情況下優於傳統邏輯斯迴歸模型，在所有模型組合中，以Quadratic 基期風險型式搭配財務變數、市場變數的解釋變數組合而成的離散型風險模型，擁有最佳預測能力。 / Based on the viewpoint of survival analysis from Shumway (2001), the presentthesis utilizes discrete-time hazard model, also called multi-period logistic regression model, to forecast corporate financial distress. From 1986 to 2008, this research chooses 718 listed companies within, which includes 110 failures, as the subjects, summing to 6,782 firm-year data. Being different from Shumway’s log baseline hazard form,we proposed to use quadratic baseline hazard form according to empirical evidence. Then, four groups of time-dependent covariates, which are accounting-based measure or market-based measure, are applied to build two sets of discrete-time hazard model, which is compared with the single-period logistic regression model. The results show that there exists the expected relationship between covariates and predict probability in discrete-time hazard model, while there sometimes lacks it in single-period logistic regression model. The results also show that discrete-time hazard model has better predictive capability than single-period logistic regression model. The model, which combines quadratic baseline hazard form with market and accounting variables, has the best predictive capability among all models.

台灣金融機構得以至中國大陸地區設置分支機構的法源主要來自於立法院在於2006年11月時修正准許台灣銀行業赴中國大陸地區設立分行。本研究針對39家台灣銀行業在中國大陸營業據點之經營策略與績效進行分析，並採採多元迴歸模型檢定其經營策略與績效之關係。 根據本文實證後的主要研究結果如下： 一、無論是以資產報酬率 (ROA) 或是股東權益報酬率 (ROE) 等兩項獲利指標所檢定的結果，均未有足夠的證據顯示台灣銀行業在中國大陸地區積極設置分行等據點的經營策略或方向是可行的。 二、由股東權益報酬率 (ROE) 分析的結果，支持台灣銀行業若採行提早投入中國大陸地區設置實體據點的發展策略，對於其股東權益報酬率 (ROE) 會呈現顯著的正向關係。 三、無論是以資產報酬率 (ROA) 或是股東權益報酬率 (ROE) 來做為被解釋變數，結果皆無法支持台灣銀行業在中國大陸地區設置分行等實體據點的數量規模大小與銀行的資產報酬率 (股東權益報酬率) 有關。 / Because of the Legislature amended the Act in November 2006, Taiwan’s Banking had been permitted and set up branches in mainland China since 2006. This paper analyzed the business strategy and performance of 39 Taiwanese banks in mainland China. The multiple regression models were adopted and we test the relationship between their business strategy and performance. The main results of this paper were as follows: First, whether the rate of return on assets (ROA) or return on equity (ROE) profitability indicators, there is no sufficient evidence that the Taiwan’s banks actively set in mainland China Branches and other positions of the business strategy or direction is feasible according to the other two test result. Second, as a result of the ROE analysis, it is significant to support the Taiwan’s banking industry to adopt the development strategy of setting up an entity base in mainland China, which has a significant positive effect on the ROE. Third, whether the return on assets (ROA) or the return on equity (ROE) as an explanatory variable, the results are unable to support that the the scale of Taiwan’s banking in mainland China have a relation with the ROE or ROA.

過去一般認為，土地供給是固定不變，故價格彈性為零。這樣的思考方式背後隱含需求面才是不動產市場的主導力量，因此土地供給面往往被忽略。不動產僵局的議題近年來不斷出現在世界各國，臺灣社會也不例外。由此觀之，都市住宅供給過程中，似乎不完全由市場需求面主導，尤其都市進入成熟發展階段後，土地供給面的重要程度更應該被突顯。故本研究從供給角度出發，並認為土地面積和產權在都市住宅供給過程中，可能扮演關鍵的角色。透過本研究提出之二維向度分析，也確實發現開發難度和住宅區開發量間存在一定的負向關係，為後續迴歸分析的立論基礎。市場力量或政府力量是否能克服基地面積過小和產權複雜問題，亦是本研究關注之重點。 利用臺北市民國94年到103年的使用執照和拆除執照，以里為分析單元，計算臺北市各里住宅區的樓地板面積淨增加率，並觀察其在空間上之高低分布。影響樓地板面積淨增加率的因素除包含土地面積和產權因素，亦應包括總體因素，區位與政策因素。一般迴歸模型和空間迴歸模型之實證結果顯示：各里中住宅供給多寡主要受到總體因素影響。此外，劃定都市更新地區之政策亦具有吸引建築投資之效果。然而土地面積並非是影響住宅供給之關鍵因素。但本研究進一步發現，在相同條件之下，產權單純對於住宅開發供給多寡的差異，因臺北市區位而有不同，住宅開發供給量由多至少依序為早期發展區、郊區和市中心。且在早期發展地區，產權越複雜的里比起產權較單純的里，住宅供給確實有較少的趨勢，顯示土地產權仍然在臺北市部分地區，造成開發上的問題。 / It is understood that land supply is fixed and the price elasticity is zero, which implies that the side of demand is the dominant force in the real estate market. Because of this the supply side of land is often ignored. The issues of gridlock of real estate development are emerging in recent years worldwide, and Taiwan is no exception. In these instances the market does not seem entirely dominated by demand in the process of housing supply. Especially in cities which have entered a mature stage of development, the importance of land supply should be highlighted. This study is taking the perspective of supply and considering that lot size and land property key roles in the process of housing supply. Throughout this study, we proposed a two-dimensional analysis and indeed found that there was a negative relationship between development difficulty and the amount of residential development, which was the theoretical basis for the subsequent regression analysis. Whether market force or government force can overcome the problems of small lot size and complex land property was also a focus of attention in this study. We used Building Use Permit and Demolition Permit from the year2005 to2014 in Taipei and the analysis units were individual neighborhoods. We calculate net increasing rate of floor area in residential sections of Taipei and observe its distribution in space. Factors affecting net increasing rate of floor area in residential sections include lot size and ownership factors, as well as general factors, region and policy factors. According to ordinary least squares (OLS) and spatial regression, the empirical results show that housing supply in each neighborhood in Taipei is dominated by general factors. In addition, the policy of the delineated renewal areas has the effect of attracting construction investment. However, the lot size was not a key factor in the process of housing supply. Furthermore, the study found that under simple land property conditions, housing supply discrepancies over location in Taipei and supplied quantity in order was the old core, periphery and center. And in the old core, compared to the neighborhoods of simple land property, the housing supply in neighborhoods of complex land property has a decreasing trend which reveals that land property is still causing development problems in parts of Taipei.

本研究的目的為研究台灣省在1990年之15-17歲的在學率，在找出可能影響因素並蒐集好相關的資料後，我們將蒐集到的資料分成兩個部份，一個部份用來建造模型，而另一個部份則用來測試所建立出來的模型。主要的過程是：先利用簡單迴歸模型了解各個可能的因素對於15-17歲的在學率的影響程度，經過許多分析及了解後再對這些變數採取可能的變數轉換(variable transformations)，而後再利用三種常用的統計迴歸方法﹝包含有逐步迴歸(stepwise regression)方法、前進選擇(forward selection)方法以及後退消除(backward elimination)方法﹞去發展出一個適當的複迴歸模型(multiple regression model)。對於這個模型，以實際的台灣在學情況來看，我們看不出它有任何的不合理；同時也利用圖形及檢定去驗證模型的假設，其次還做有關迴歸參數的推論(inferences about regression parameters)。再其次，我們運用變異數分析的結果(analysis of variance results)以及新觀察值的預測情形(predictions of new observations)來評估模型的預測能力。最後並利用所得到的最適當的模型，對如何提昇15-17歲青少年的在學率給予適當的建議。 / The objective of this research is to study what factors may affect the schooling rates of 15-17 years old in Taiwan province in 1990. After finding out some possible factors and collecting those data regarding those factors, we separate the data (by stratified random sampling) into two sets. One set is used to construct the model, and the other set shall be used to test the model. The main process to build a regression model is as follows. First, we shall use simple linear regression models to help us to see if each factor may have relation with the schooling rates. With the analysis of residuals and so on, we then make appropriate transformations on each of these factors. Finally, we use three common statistical regression techniques (including stepwise regression, forward selection, and backward elimination methods) to develop a suitable multiple regression model. It seems that, by our understanding of schooling rates in Taiwan, this model is not unreasonable. In addition, we verify the assumptions of the model by graphical methods and statistical tests. We also do the inferences about regression parameters. Furthermore, ye use the results of the analysis of variance and predictions of new observations to evaluate the prediction ability of the model. Finally, we use the most appropriate multiple regression model to give some suggestions to improve (or keep) the schooling rates of 15-17 years old.

假設二元反應曲線為簡單線性羅吉斯迴歸模型(Simple Linear Logistic Regression Model)，在樣本數為偶數的前題下，所謂的最佳D型設計(D-Optimal Design)是直接將半數的樣本點配置在第17.6個百分位數，而另一半則配置在第82.4個百分位數。很遺憾的是，這兩個位置在參數未知的情況下是無法決定的，因此逐次實驗設計法(Sequential Experimental Designs)在應用上就有其必要性。在大樣本的情況下，本文所探討的逐次實驗設計法在理論上具有良好的漸近最佳D型性質(Asymptotic D-Optimality)。尤其重要的是，這些特性並不會因為起始階段的配置不盡理想而消失，影響的只是收斂的快慢而已。但是在實際應用上，這些大樣本的理想性質卻不是我們關注的焦點。實驗步驟收斂速度的快慢，在小樣本的考慮下有決定性的重要性。基於這樣的考量，本文將提出三種起始階段設計的方法並透過模擬比較它們之間的優劣性。 / The D-optimal design is well known to be a two-point design for the simple linear logistic regression function model. Specif-ically , one half of the design points are allocated at the 17.6- th percentile, and the other half at the 82.4-th percentile. Since the locations of the two design points depend on the unknown parameters, the actual 2-locations can not be obtained. In order to dilemma, a sequential design is somehow necessary in practice. Sequential designs disscused in this context have some good properties that would not disappear even the initial stgae is not good enough under large sample size. The speed of converges of the sequential designs is influenced by the initial stage imposed under small sample size. Based on this, three initial stages will be provided in this study and will be compared through simulation conducted by C++ language.

本文探討如何將近似無關迴歸模型(SUR)與分量迴歸結合,聯合多條迴歸方程式,估計不同分量下自變數對應變數的影響效果。本文提出資料重排分量迴歸,以SUR模型的資料排列方式堆疊在一起,再以分量迴歸進行估計,估計方法容易理解,實際計算也較易操作,不僅可以考慮不同方程式間的同期相關性,也可觀察不同分量下的邊際效果,使估計結果更為準確,同時,本文以模擬方式比較分量迴歸、Zhao(2001)的加權分量迴歸、Jun and Pinkse(2009)的近似無關分量迴歸及資料重排分量迴歸等估計方法,結果顯示資料重排分量迴歸的估計式同時兼具準確性與精確性,為一良好的估計方法。接著,本文延伸Frankel and Poonawala(2010)的研究使用資料重排分量迴歸進行分析,實證結果顯示高階市場貨幣與新興市場貨幣以遠期溢酬作為未來即期匯率報酬的預測上都是偏誤的,且高階市場貨幣的偏誤大於新興市場貨幣,當匯率變化較大時,亦即高分量時,不論是高階市場或是新興市場匯率偏誤都會變小。

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.

目前對於女性董事與財務績效的研究，以國外的文獻居多，台灣的研究僅有3篇，皆是以複迴歸的方式來進行研究分析，僅有一篇是針對金融業進行研究。未來全球經濟的發展，將隨著女性職場上參與程度和社經能力的提升而有所改變。而銀行業對經濟發展有密不可分的關係，故本研究以臺灣21間上市銀行2006年至2011年間的追蹤資料（即126筆樣本觀察值）來進行實證研究。採資料包絡分析法評估績效後，再以Tobit迴歸模型探討女性董監事的比例對台灣上市銀行經營績效的影響，並加入可能影響銀行經營績效的因素作為解釋變數，包括：資本適足率、逾放比率、銀行規模、政府持股比率、銀行是否加入金控、以及時間變數等因素。實證結果發現，女性董事的比例對於銀行的經營績效在統計上有負向的影響，而女性監察人的比例則沒有顯著的影響。建議末來可繼續研究女性董監事與其它產業的績效關係，以增加女性董監事與台灣產業間之關聯性的研究。 / At present, the studies of female directors and financial performances are mostly in foreign documents, and there are only three studies from Taiwan which are based on multiple regression analysis approach of research; only one of those studies focus on financial industry. The global economic development in the future will be changed along with the level of female participation in the workplace and the enhancement of their socio-economic capabilities. Moreover, banking has a close and tight relationship with economic developments. Therefore, this study was based on the traceable data of 21 listed banks in Taiwan from 2006 to 2011 (i.e., 126 sample observations) to proceed the empirical research. After adopting data envelopment analysis to evaluate the performances, it used tobit censored regression model to discuss the influence of the operational performance of listed banks in Taiwan along with the proportion of female directors and supervisors. It also added the possible factors that may affect the banks’ performance as explanatory variables including Capital Adequacy ratio, Non-Performing Loans ratio, size of banks, Public Shareholding ratio, joining in financial holding, time variables and other factors. The result of the study showed that statistically there is a negative effect to the operational performance of the banks along with the proportion of female directors; however, there is no significant impact affected by the proportion of female supervisors. In the future it suggested that the study can be continued researching about the influence of the operational performances in other industries by the proportion of female directors and supervisors in order to increase the research of the correlation between female directors/supervisors and industry performance in Taiwan.

自行車一詞儼然成為綠色環保的代名詞之一，台灣自行車業過去在國際間，被認定為品質粗糙的產品，在經過多年努力的情況下，台灣自行車業不斷的備受肯定，隨著近年全球暖化議題、全球性健康概念、油價飆漲、金融海嘯爆發等，諸多原因造成自行車從不被看好的代步工具，演變到現在成為休閒運動工具的轉變，其中；台灣自行車2008年的金融海嘯中，相較於其他傳統產業，不論是出口產值或是股價不降反漲，大舉逆勢成長，其中巨大(Giant)、美利達(Merida)、愛地雅(Ideal)，成車製造商，近年來分別占出口前三大。 所以本研究要探討，金融海嘯爆發的前後，對台灣自行車業帶來的影響，研究資料選定為2000年1月至2013年12月間的巨大股價(9921)、美利達股價(9914)、愛地雅股價(8933)、台灣股價加權指數(TWII)、原油價格、工業生產指數的月資料，共168筆。透過單根檢定檢測資料是否為定態，利用共整合檢定確定是否含有至少一組解，搭配向量誤差修正模型檢測變數間的長短其關係，在利用複迴歸模型檢測。 研究結果顯示，巨大、美利達、愛地雅和台灣加權股價指數具有顯著關係，由於台灣自行車屬於出口導向以及中高價位產品，故全球景氣對台灣自行車業深具影響。其中，巨大和美利達除了ODM外，亦有自有品牌在全球銷售，愛地雅定位專業ODM專業代工廠，前者發展不同市場。 / The word "bicycle" has become one of the pronouns of environmental protection. In the past, Taiwan bicycling industry was treated as low-quality products internationally. With long-time effort, Taiwan bicycling industry was highly appreciated. Recently, global warming issue, cosmopolitan health sense, dramatically increased oil price, the eruption of financial crisis, and many reasons lead the bicycles have not positively evaluated as means of transportation. Now, it becomes the outdoor recreation mean. Comparing Taiwan bicycling industry with other traditional industry, it doesn't fall down but highly increase no matter export value or stock price. The manufacturer of Giant, Merida, and Ideal are the top 3 of export recently. So this study want to explore the things happened before and after the outbreak of the financial crisis that affects bicycle industry in Taiwan, research data for selected between January 2000 and December 2013, relationship between the Giant(9921) shares, Merida (9914) shares, Ideal(8933) shares, TWII, the price of crude oil, industrial production index. Through the Unit Root Test to test whether the data is the steady state or not. By using cointegration test to make sure whether contains at least one group of solutions and vector error correction model to detect the length of the relationship between variables, and using the multiple regression model to test. Results of the research shows that Giant, Merida, Ideal has significant relationship with TWII, because Taiwan bicycle are export-oriented and high price products, so the global boom has profound influence to Taiwan bicycle industry, among them, the Giant and Merida except the ODM, have their own brands in global sales, Ideal professional locate, ODM professional contract, the former develops different markets. / 摘要 I Abstract II 謝辭 III 目錄 IV 圖目錄 VI 表目錄 VII 第一章　緒論 1 第一節　研究動機 1 第二節　研究目的 3 第三節　巨大機械工業股份有限公司簡介 4 第四節　美利達工業股份有限公司簡介 5 第五節　愛地雅工業股份有限公司簡介 6 第六節　研究架構 7 第二章　文獻回顧 9 第一節　國內相關文獻 9 第二節　國外相關文獻 11 第三節　國內外文獻一覽表 12 第三章　研究方法 20 第一節　單根檢定 20 第二節　共整合檢定 22 第三節　向量誤差修正模型(VECM) 24 第四節　迴歸分析 24 第四章　實證分析 26 第一節　資料來源與處理 26 第二節　敘述統計 31 第三節　單根檢定 32 第四節　共整合檢定 33 第五節　向量誤差修正模型(VECM) 33 第六節　複迴歸模型 35 第五章　結果分析與建議 38 第一節　結果分析 38 第二節　建議 39 參考文獻 40 附錄一　巨大工業股份有限公司沿革 43 附錄二　美利達股份有限公司沿革 47 附錄三　愛地雅股份有限公司沿革 57 圖目錄 圖1-6 研究架構 8 圖4-1-1 台灣自行車業總出口產值(百萬元，美金) 27 圖4-1-2 台灣股價大盤指數(TWII，當日收盤價) 27 圖4-1-3 巨大股價(9921，當日收盤價) 28 圖4-1-4 美利達股價(9914，當日收盤價) 28 圖4-1-5 愛地雅股價(8933，當日收盤價) 29 圖4-1-6 國際原油價格(西德州，美元) 29 圖4-1-7 台灣工業生產指數 30 表目錄 表1-3 巨大公司基本資料 4 表1-4 美利達公司基本資料 5 表1-5 愛地雅公司基本資料 6 表2-3 國內外相關文獻整理 12 表4-1 資料來源一覽表 26 表4-3-1 ADF 單根檢定 32 表4-3-2 單根檢定-一階差分 32 表4-4-1 共整合檢定 33 表4-5-1 Giant & Merida　向量誤差修正模型 34 表4-5-2 Giant & Ideal　向量誤差修正模型 34 表4-5-3 Merida & Ideal　向量誤差修正模型 34 表4-6-1 自行車產業與景氣循環對巨大股價之影響 37 表4-6-2 自行車產業與景氣循環對美利達股價之影響 37 表4-6-3 自行車產業與景氣循環對愛地雅股價之影響 37