過去研究多將焦點集中在增加高階經理人薪酬，將可促使高階經理人為公司股東的權益努力，為此探討提昇股東權益包含高階經理人獎酬與公司績效間的關聯，卻忽略了其與風險間的關係。高階經理人員可能因為獎酬的激勵，從事對公司有利且風險較低的計畫，也可能會為了提高自身的權利，將風險轉嫁給公司，因此激發出探討高階經理人員獎酬與公司風險間的關係的研究動機。 本研究以KMV模型之預期違約率作為公司風險之參數，探討高階經理人之 薪酬、自由現金流量、KMV信用風險之關係，同時瞭解公司規模是否影響高階 經理人薪酬、自由現金流量及公司績效與公司KMV信用風險間的關係。 研究結果顯示，公司高階經理人的薪酬與公司違約風險呈負相關，即高階經理人薪酬的提高，確能降低公司的違約風險，但此現象僅在大規模公司才能發現。此外，就自由現金流量而言，小規模公司之自由現金流量愈多，存在較高的風險，惟有提高公司營運績效，方能減緩公司風險的承擔。另一方面，對於高階經理人薪酬的提升，雖然在小規模公司並沒有效果，但係有助減緩自由現金流量帶來的負向衝擊。最後，前述小結僅存在於小規模公司群體，這可能是因為，大公司擁有較高的政治成本，因此為了避免社會的關注，大公司較小公司有較好的公司治理機制，因此管理當局較不可能基於自利的動機來影響公司的風險。 / Many past researches focused on senior manager will be able to work hard for raising shareholder’s equity because of higher compensation. Many researches of raising stakeholder’s equity explored the relation between senior manager compensation and financial performance, but ignored the relation with credit risk of company. Senior managers maybe perform lower or higher risk project for themselves benefit due to some higher compensation motivation. Thus this researching will refocus on exploring the relation between senior manager compensation and company credit risk. This study will discuss the relation among senior manager compensation, FCF and KMV company credit risk by EDF of KMV model as a parameter of company credit risk. And to understand the scale of company weather influence the relation among senior manager compensation, FCF and KMV company credit risk? The results of this research show that the senior manager compensation is negatively correlated with company credit default risk. On the other hand, higher senior manager compensation will reduce the risk of company credit default, but this phenomenon can be found only in lager companies. In addition, as far as small company's FCF, the more FCF, the more there is a higher risk. Increase company's operating performance, the company credit risk can be slow down. On the other hand, in small company there is no effect on raising senior manager compensation, but it will help mitigate the negative impact of FCF. Finally, the foregoing summary is just only in small company groups, may be because larger companies have higher political cost, so in order to avoid the concern of society, larger companies have better corporate governance than small companies, thus senior manager will not be able to influence the company’s credit risk for their self-interested motivation.

本研究同時探討房貸違約與提前清償終止行為，並對提前清償動機『出售』與『轉貸』予兼容並蓄。蒐集自H銀行房貸資料，運用多項式邏吉斯廻歸模型分析法，以總體經濟因子之有無分兩階段，對應變數-房貸終止行為(Y1)及提前清償動機(Y2)，採取雙層次深入實證。 實證結果：從機率模型配適度與解釋力之實證分析中，獲得一致結論，對於含有總體經濟因子-經濟成長率與CPI 年增率之模型，其所計算Cox & Snell及Nagelkerke之假 值分別為0.534及0.611，均大於0.5以上，其相對性與獨立性上，均具備較高的模型解釋力，為一較優之房貸違約與提前清償終止行為模型，其相關顯著影響因子如下： 一、對違約具有顯著影響之因子，包括：借款年限、初貸利率、LTV、保證人、次級房貸、部分提前清償、購屋投資、 PTI、DBR＞22、軍警公教人員、設二胎、區域台北市、區域新北市及CPI年增率等14項。 二、對提前清償具有顯著影響之因子，包括：初貸利率、次級房貸、部分提前清償、購屋投資、購屋自住、年資、設二胎、CPI年增率及經濟成長率等9項。 三、對提前清償動機-『出售』之顯著因子：次級房貸、部分提前清償、購屋投資、設二胎等4項。 四、對提前清償動機-『轉貸』之顯著因子：初貸利率、次級房貸、購屋自住、年資、設二胎、CPI年增率及經濟成長率等7項。。 本實證結果所建構含有總體經濟因子之房貸終止行為機率模型，以其顯著影響因子再深入探討提前清償-『出售』與『轉貸』之動機，使提前清償行為模式更精確性地呈現，有助於提供金融機構，在計算違約機率與提前清償機率之模型架構上及授信審核評估上，具貢獻價值之參考資訊。 / This research explores the default and prepayment on the termination behaviors of residential mortgages, as well as the motives of prepayment in house selling or refinancing. Mortgage data are collected from the H bank in Taiwan, using the multi-nominal logistic regression analytic method to explore the factors affecting the default and prepayment behaviors. Empirical results show that loan period, initial mortgage rate, loan-to-value ratio (LTV), the existence of the guarantor, subprime mortgages, curtailment, investment purpose, payment-to-income (PTI), debt burden ratio exceeded 22 (DBR＞22), government employees or teachers, second lien, location in Taipei city, the new Taipei city and CPI annual rate of increase are the significant factors of default behavior. As for the variables on prepayment, the initial mortgage rate, subprime mortgages, curtailment, investment purpose, residential use, DBR＞22, the age of professional career, second lien, CPI annual rate of increase and economical growth rate are significant. For more detailed curtailment behavior, the empirical results show that house sale subprime mortgages, curtailment, residential investment purpose, second lien are significant factors. As for the variables in inter-bank refinancing initial interest rate, subprime mortgages, residential investment purpose, the age of professional career, second lien, CPI annual rate of increase and economical growth rate are significant factors. Results of this research may provide financial institutions precious references on the mortgage default and prepayment behaviors. The mortgage industry can take into account of the significant results on the capital planning in the future.

本研究預測違約機率的方法為:Binary Regression Quantiles(二元分量迴歸)，此理論基礎與預測方式是使用美國學者Grigorios Kordas(2004)的方法，將分量迴歸運用在應變數為二元的屬質變數上之計量方法。 最小平方法是目前最常見到的迴歸分析，但在古典線性迴歸模型中，應變數的解釋是來自於自變數的相對應的平均變化，而忽略了不同規模與分配下應變數的邊際變化，本文試圖以此方法和以最大概似估計法所建構出的Logit模型做一比較，而研究資料為台灣於民國85年至93年曾被列為全額交割類股的上市公司。 本研究發現Kordas (2004)的方法，雖然能將分量迴歸應用在屬質二元變數上，但是在預測方面相較於傳統Logit方法卻沒有出現較佳的預測能力。 / The method implemented in PD calculation in this study is “Binary Regression Quantiles”. The foundation of the research and the way to forecast is according to the Ph.D Thesis of Grigorios Kordas(2004). He apply the binary variable for Quantile Regression. The Ordinary Least Square is the most common way to regression analysis, but in the classic linear regression the change of dependent variable comes from the independent variable averagely. It neglects the marginal change of the dependent variable according to different scale and distribution. We want to compare the Binary Regression Quantiles with the Logit Regression. Although we could apply the binary variable for Quantile Regression successfully, the outcome of the forecast is not as efficient as the Logit Regression.

本文延伸Hull and White (2010)之跨池因子繫聯結構模型中違約相關性之描述，藉由納入Normal Inverse Gaussian分配並允許其帶有狀態轉換之特性，我們探究信用結構式商品清償順位結構中，影響次順位信用保護層(subordination level)之因素。我們以房屋抵押擔保貸款債權憑證(MBS CDO)為例，分析資產違約相關性、資產池微粒化程度、跨池違約相關性等結構性變數如何影響分券評等之合理性及風險特徵。本文的研究結果呼應Azzalini and Capitanio(2003)中所提及採用Gaussian因子繫聯結構模型之於評價信用結構商品的缺失。我們發現增進信用資產池損失分配的之厚尾性描述，得以改善高估或低估分券信用價差的情況。 / By incorporating the Normal Inverse Gaussian distribution and allowing for regime shifts in the correlation structure of the multi-pool factor copula of Hull and White (2010), in this thesis we explorer the factors constituenting the subordination levels of credit-structured products. Using MBS CDOs as an example, we examine how model-embedded variables, such as default correlation, reference-portfolio granularity, and cross-pool correlation, affect the risk profiles of MBS CDO tranches. Our numerical results echo the findings of Azzalini and Capitanio(2003) in that correlation structure obtained under the Gaussian factor copula model may be inadequate in capturing the fact-tailed characteristic of the reference-pool loss distribution, thus can result in over/under-estimation of CDO tranche spreads.

2007年美國爆發次級房貸違約潮造成了其經濟、房市和股市的不景氣，也波及到持有美國房貸證券化商品的各國，使其承受重大的損失，因此房屋抵押貸款違約的影響因素和金融資產證券化機制對貸款違約風險的影響又再度成為不動產與金融市場上之重要議題。而以往針對美國次貸危機的研究多指出道德風險是造成此次危機的原因之一，但是較缺乏實證研究的支持。 有鑑於此，本研究以我國的台北市和新北市的房屋抵押貸款市場作為研究對象，探討逆選擇和道德風險這兩個資訊不對稱的問題對貸款違約率的影響。研究結果顯示「貸款成數高、貸款利率高、搭配信貸和設定二胎的貸款比較容易違約」，證實逆選擇和道德風險問題確實存在於房屋抵押貸款市場，而且會增加貸款違約的機率。為了降低違約機率，從降低資訊不對稱的角度來看，本研究建議：一、建立全國房貸資料庫；二、將信貸的金額納入房貸的貸款成數中考慮，以降低款人的道德風險。 再者，本研究認為造成次貸危機的根本原因是不當政策導致的保證機制浮濫，以及高風險的房貸證券化商品的氾濫。為了避免我國發生類似次貸危機的事件，從減少資訊不對稱的角度切入，本研究建議我國的金融資產證券化機制應該：一、將道德風險內部化，消除創始機構自利的動機以減少道德風險；二、使用外部信用增強的方式，以確實發揮分散證券風險的作用。 / The 2007 subprime mortgage crisis has severely struck the stability of the worldwide financial markets. Some researches indicate that moral hazard problems are the main factors causing the crisis. However, few studies support asymmetry problems existing in a mortgage market by empirical evidences. First, using the mortgage samples from Taipei City and New Taipei City this study would like to understand if the mortgage market are information asymmetry problems, adverse selection and moral hazard, and conduct the empirical analysis for these factors’ impact on mortgage default. The results show that mortgage default is influenced significantly by the Loan-to-Value （LTV） ratio, contract interest rates, the existence of second liens and credit loans, and jobs. It shows that adverse selection and moral hazard actually exist in the mortgage market. According to the empirical results, secondly, this study proposes suggestions for mortgage lending and financial asset securitization to reduce adverse selection and moral hazard problems and enhance the regulation environment and market’s stability. It is expected that the results of this study will be applied to avoid the occurrence of similar crisis in Taiwan.

本文利用向量自我迴歸模型所得出來的殘差值來模擬未預期到的總體經濟訊息，以期限利差和一個月定存利率來捕捉殖利率曲線，以違約利差和股利收益率來描繪資產報酬的條件機率分布，本文實證未預期到的期限利差和未預期到的違約風險與淨值市價比因子和市值規模因子包含相同的訊息，因此後續檢驗這些能夠捕捉未來投資機會的總體經濟訊息比起Fama-French三因子模型是否對台灣股票橫斷面的平均報酬更具有解釋能力。 實證方法採用Fama-MacBeth(1973)兩階段迴歸方法，Fama-French三因子模型實證結果顯示台灣股票市場存在著負向的淨值市價比效果，但卻不存在著規模效果，這與國外一些學者研究1980年代之後規模效果逐漸消失的結論相同。在實證未預期到的總體經濟訊息模型時，由於被解釋變數為股票超額報酬率，因此常數項應該為不顯著的關係，但此假設強烈的被未預期到的總體經濟訊息模型拒絕，代表此模型可能遺漏了重要的解釋變數。因此，Fama-French 三因子模型對台灣股票橫斷面平均報酬率的解釋能力比未預期到的總體經濟訊息模型更佳。 / The Fama and French factors HML and SMB are correlated with innovations in variables that describe investment opportunities. I find that shocks to term spread and shocks to default spread have the same information with the Fama and French factors HML and SMB. This paper investigates whether a model that includes shocks to the aggregate dividend yield and term spread, default spread, and one-month deposit interest rate can explain the cross section of average return on Taiwan stock market as well as the Fama and French can. Using the Fama-MacBeth (1973) two steps cross-sectional regressions, I find there exists the negative book-to-market effect on Taiwan stock market, but the size effect disappears. Since the dependent variables in the regression is excess returns, the intercept of the cross-sectional regression should be zero. This hypothesis is strongly rejected in the case of the model includes shocks to the Macroeconomics variables and the market portfolio. It means this model omits some important variables, so the Fama and French three-factor model can explain the cross section of average returns better.

違約機率校準檢定 - global test 由兩部分組成：第一部分為 level，探討真實的平均違約機率是否被高估；第二部分 shape，探討高低違約機率的表現情形。但 global test 與相關違約事件下的 level test 檢定尺度皆遠高於顯著水準 $\alpha$。本文先是針對相關違約事件，利用截斷分配使 level test 犯型一誤差機率更接近顯著水準，並提出虛無假設及對立假設為 $H_0: \theta \in \cup_{i=1}^2 \Theta_{i0}$ vs. $H_1: \theta \in \cap_{i=1}^2 \Theta_{i1}$ 的形式，引用交聯集檢定。更進一步透過 Liu \& Berger (1995, \textit{The Annals of Statistics}, 23, 1, 55-72) 建構齊一較強檢力檢定，改善檢定力。模擬結果顯示交聯集檢定與齊一較強檢力檢定的檢定尺度皆為 $\alpha$，且齊一較強檢力檢定的檢定力皆高於交聯集檢定。 / The calibration test of the PDs (probabilities of default) --- global test is twofold, the first part is the level test, which is about the mean of calibrated PDs. Second, the shape test is about whether a calibrated PD model differentiates correctly between low and high default probability events. In simulation results, we found that the type I error of global test is much greater than significant level $\alpha$, so is level test in correlation default events. In this study, firstly, we use the truncated level test to control previous error and suggest the hypothesis $H_0: \theta \in \cup_{i=1}^2 \Theta_{i0}$ vs. $H_1: \theta \in \cap_{i=1}^2 \Theta_{i1}$. Secondly, we introduce the intersection union test (IUT). Moreover, we construct an uniformly more powerful test (UMP test) by Liu \& Berger (1995, \textit{The Annals of Statistics}, 23, 1, 55-72). Simulation results show that the IUT and UMP test are size $\alpha$ tests, and the power of UMP test is greater than IUT.

本文主要是討論市場上有哪些因素會影響信用違約交換的價格(價差)，並且透過2005年初發生的通用汽車與福特汽車信用評等調降事件，研究信用評等的改變對於股票、債券與信用違約交換市場的影響。 一開始先介紹信用衍生性商品市場的發展。第二部份則介紹評價信用違約交換的模型，並由模型中找出可能影響信用違約交換價格的因素，並且提出公司本身發佈的消息也可能會影響價差的改變，甚至更為明顯，但沒有任何一個評價模型包含這樣一個因素。而透過對通用汽車與福特汽車事件的研究，我們發現兩家公司的股票、公司債或是信用違約交換價格(價差)都在評等調降的消息發布前已經事先反映公司經營不善的狀況，或是所面臨的困境，而在評等調降結果真正公佈的時點時，市場的反應反而沒有預期的明顯。對於公司內部發佈的消息，或是預期之外的事件，價格或價差則會大幅波動。

本論文針對市面上發行的兩檔結構型商品：『十年期美元計價雪球型利率連動票券』與多標的信用連動債券-『啄利信用連動債券』進行分析。分別利用LIBOR利率市場模型（LIBOR Market Model）來評價利率連動票券，以及Kijima與Muromachi（2000）評價一籃子信用違約交換的方法來評價信用連動債券。計算出合理價值後，再因應不同的經濟環境作敏感度分析。

本研究針對每日利率區間型連動式債券，以及一籃子信用連結式債券－首次違約型進行評價與避險分析。由於法令的開放，結構型商品推陳出新，商品設計條款日趨繁複。利用理論的模型運用於市場上的結構型商品，使發行者與投資人清楚了解商品的利潤與風險。 在每日區間型利率連動式債券的評價模型上，採用Hall and White(1994)的利率三元樹模型求算債券價值。透過市場可90天期商業本票報價，建構符合市場利率期間結構之利率模型，並以路徑函數計算配息，以求算利率連動債券合理價格。 在一籃子信用連動式債券可拆解為持有固定利息債券，並賣出一信用交換。參考Kijima與Muromachi（2000）模型設定，模擬出不同回收率下的第一違約信用交換價值；使用Hall and White的利率三元樹模型，計算連動債券中的固定利息債券價格，最後，針對參數可能的變動進行敏感度分析。