本研究主要在建立1996-2008年間建商的存活預警模型，探討眾多危機事件中對於建商存活的影響力分析。研究所稱建商包括「建設公司」以及有從事建設業的相關公司。在台灣地區位屬火車頭角色的建設業具有舉足輕重的影響力，但其營運的財務槓桿較其他產業高，營運狀況易受景氣波動的影響，因此在事件的產生時對於投資者、銀行的應變處理便顯得相對重要。 危機事件所指除了證管會、台灣經濟新報資料庫的危機認定外，另加入財務之外的事件研究並加以定義。存活預警模型的建立是先以各種事件的相關性分析以了解各種事件的顯著性，並且量化分類後的影響事件，再進行羅吉特分析與存活分析的比對，選擇較適模型與影響力較大的危機事件進行實證分析。研究實證結果如下： 一 危機事件越多，建商經營越不穩定，存亡事件產生機率越高；影響公司存活的共通因子對於公司危機產生的共同預警變數有一定程度上的共通性，且都具有顯著性。 二 本研究將危機事件分類為財務面、監理面、經營面，存亡事件選定有終止上市、全額交割股、掏空三種。經實證後得知，財務面之外的預警變數亦能提供投資人及銀行產業了解公司經營的穩定度。在眾多預警變數中，又以重整、紓困跳票違約、董監事改選對於終止上市影響較大；對全額交割股的影響則以董監事改選、警示股、景氣因素以及利益輸送影響較大；對掏空的影響則以重整、警示股、財務結構較具顯著性。 三 存活期間與存活機率相關性比較中，以景氣預警變數而言，若產生全額交割事件，則產生存亡事件的機率非常高，公司得以存活期間較短。以重整預警變數而言，公司重整後，產生存亡事件的機率非常高，也就是說公司得以存活的期間較其他預警變數短。 四 景氣循環對於建商經營有非常大的影響，不景氣時產生具顯著性的危機事件，將會在較短期間後產生存亡事件。 / The goal of our study is establishing the survival model in the building construction companies during 1996-2008. The real estate developers in this study included “building construction companies” and the “property stock companies” which operate building construction businesses. Building construction companies are common known as a pivotal role in the power of influence by the general public, but the financial leverage is higher than other industries. Operating condition of construction companies is effected by the real estate cycle; in hence it is relative importance of the investers, banks, which the crisis events occurred. The crisis events in this study are not only the definition of Taiwan Stock Exchange and Taiwan Economic Journal Data Bank but also the events besides financial side. The study of survival model, in the beginning, is to analyze the correlation of crisis events to understand the significance of events, quantify the classified of the entire crisis event, and then to compare the results between the Logistic Analysis and the Survival Analysis. Finally, choose the appropriate model and the more influence crisis events to do the empirical analysis. The empirical analysis results of our study are as follows: 1. The more the crisis events occurred, the more the probability of failure events will occur. 2. Our study classified the crisis events into three different species, financial side, supervision side, business side. We choose company delisting, full delivery stock company, and company emptied as the failure events. 3. Compare the correlation of survival period with survival probability. In terms of company reorganized variable, for example, after reorganizing the building construction company, the probability of failure events are getting higher, and the survival duration get shorter than other crisis events. 4. The real estate cycle impact the building construction companies a lot. If significant crisis events occurred during downturn of the real estate cycle, the failure events will be generated in such a short time.

本文主要研究外資、投信及自營商這三大法人是否有「處分效果」及「過度自信」行為上的偏誤，並想要進一步探討投資人是否可以透過觀察三大法人在不同景氣狀態下的異常行為建立投資組合以獲得顯著的超額報酬，故利用Weber and Camerer（1998）所提的處分係數（The disposition coefficient）來表示處分效果及黃坤興（2006）提出的修正過度自信係數（The overconfidence coefficient）代表過度自信現象，並採用二情境轉換模型，以馬可夫鏈描述情境轉換行為，觀察三大法人在2005年至2013年台灣股票市場上的行為。 研究結果發現在不同的景氣狀態下三大法人會有不同的異常行為產生，在景氣繁榮期外資有處分效果而無過度自信，投信則無異常行為，而自營商沒有處分效果而有過度自信傾向；在景氣低迷時期外資有處分效果而無過度自信現象，投信沒有處分效果而有過度自信，自營商則是同時有處分效果與過度自信，而投資人可以在三大法人有異常行為時，利用放空高係數資產及買入低係數資產獲取正報酬。

本文使用具有事前訊息的領先指標與期間利差作為預測變數,根據不同利差與落後期選擇的 Probit 模型,利用遞迴的方式預測景氣轉折點發生機率,並進一步將個別預測結果進行組合,試圖找出能降低不確定性且優於個別預測結果的方法。實證結果發現,使用 Diebold and Mariano 檢定的預測包容法為其中最優的組合方法,無論是轉折點訊號或預測誤差都能優於半數以上的個別預測。此外,本文亦估計即期景氣轉折點的發生機率,根據模型的估計結果推斷,自 2012 年 2 月至 2015 年 3 月為止,景氣仍處於擴張階段。

不動產估價一般需採比較法、收益法及成本法等三種方法查估。不動產估價最終估值決定須進行協調(reconciliation)，協調的目的係為完成關聯(correlation)之步驟，就各種方法資料之質量及優缺點進行分析。為使不動產估價對於比較法三件買賣實例，及三種方法估值採賦予權重之決定方式提供量化解釋，本文分別建立比較法內部及三種方法外部權重模型。內部權重部分，買賣實例（市場）比較法一般需蒐集數個比較標的，經調整後之試算價格決定比較價格。國外以數學計算式計算實例權重雖已相當普遍，但目前尚無應用特徵效用模式，解讀實例權重形成與比較標的內部條件之關聯。本文以2007年及2008年地價基準地6,435筆買賣實例建構特徵權重模型，發現比較法買賣實例權重受價格型態、交易日期接近性、是否屬近鄰地區、實例差異百分率絕對值加總、實例比較項目修正數、其他兩個實例相對值等自變數影響顯著。 欲探討成本法估值是否與成交價存在差異，以作為外部權重設定之基礎，本文以北部地區986筆交易案例，由估價人員逐筆以成本法估計成本價格，俾與成交價格比較。發現成本價格有高估之系統性偏誤現象，分量迴歸(quantile regression)分析實證認為成本法並未因屋齡較新之建物有較高精度。另發現房地交易價格愈高、建物單價愈高、總樓層數愈高、移轉樓層愈低、建物面積愈小、建築工期愈長及利潤率愈小者；估值差異愈小。 外部權重分為三部分，首先將估價過程中之諸項因子，以分析階層程序法(AHP)專家問卷，彙整各種方法權重因子；其次，基於最適加權平均模式在於使三種方法估值總誤差最小之觀點，經由數學計算方程式建構2,150筆基準地三種方法標準差及相關係數模型以計算權重。第三、為了瞭解比較估值、收益估值與土地開發分析估值之關聯，本文將2,150筆三種估價方式權重建立聯立模型，以三階段最小平方法(3SLS)進行估計。實證模型系統加權解釋力甚高，且三種方式權重之自變數多符合預期並顯著，顯見三種方式之關聯性。 最後，不動產估價仍需考慮一般因素，如金融海嘯對全球金融及房地產市場，其影響力無遠弗屆，最終估值之決定即需考慮市場景氣對最終估值之影響。為探討對於(不)景氣時是否(低)高估？影響(低)高估與否之影響因素為何？本文以2002年至2004年國內某金融機構對房屋貸款20,532件之估值，以二項式邏輯特(Binary Logit)模型分析。實證結果發現於不景氣時期抵押貸款低估機率提高，景氣時期則無高估現象。綜上，本文以權重模式、估值差異及市場景氣影響探討不動產估價最終估值之形成，於權重模型建構及預測上，非如以往文獻僅對估值預測，而係就權重預測。於加權平均應用上，外生變數之迴歸係數可作為權重設定之參考。本文直接探討最終估值形成之權重核心，冀使估價之客觀性及科學化程度提高。 / Real estate appraisal comprises the sales comparison, income, and cost approaches to value in general. The purpose of reconciliation is to complete the procedure of correlation and analyze the qualitative and quantitative strengths and weaknesses of different approach data. In order to assist quantifiable explanation when weighted average for three comparables in the Sales comparison approach and indicated values from three approaches are applied, this paper constructs internal and external weight models respectively. For internal weight model, this paper examines the correlation between weight and internal attributes of 6,345 sales comparables from land value benchmark in 2007 and 2008 adopting the hedonic price model. The outcome shows the price type, the proximity of transaction date, inside the neighborhood area or not, total gross adjustment as %, numbers of adjustments and the attributes of other two comparables considered in one appraisal are significant on the weight of comparables. To explore whether the cost approach causes bias or not, and make it reference for establishment of external weight model, this paper compares the cost value, appraised by valuers applying the cost approach individually, from a sample of 986 transactions of properties sold in 2007 and 2008 in northern Taiwan, to sale price and finds the cost value is higher than sale price on average. It proves that the reliability of the cost approach is comparatively questionable due to its systematic bias of overestimation. With quantile regression, the outcome shows that the precision of cost value won’t increase for newer buildings. In addition, this paper finds the more the total property sales amount, the higher the unit construction fee, the higher building, the lower story, the smaller area, the longer construction years of properties, and the smaller profit rate; the smaller the bias. There are three parts for external weights. First, AHP expert questionare is adopted to combine weight factor from each approach. Secondly, based on the logic that the best way to assign weights on three appraisal approaches is to get the minimum total error, this paper calculates the standard error and correlation indicators from three approaches using 2,150 land value benchmarks. Thirdly, in order to realize the weights correlation among the sales comparison value, income capitalization value and land development analysis value, this paper builds a model based on the three-stage least squares method simultaneous equation (3SLS). The empirical result shows system weighted R2 is high and most attributes on the weights of three indication of value are significant and are consistent with expected sign, which means the model fit is good and how the weights of three methods correlate. Finally, general factor also needs to be considered in real estate appraisal. For instance, financial tsunami exerts powerful influence on financial and real estate market globally, which makes it necessary to consider real estate cylce influence when seeking the final value. In order to discuss whether the appraisal value of mortgage is smaller (greater) or not when the market is bearish (bullish) and the corresponding factors, this paper collects 20,532 mortgage appraisal value from one bank from 2002 to 2004. With Binary Logit model, this paper finds the probability of lower appraisal is greater in bear market. The outcome confirms two hypotheses of this paper. However, overestimation is not confirmed in bull market. To sum up, this thesis researches the formation of final value of real estate appraisal by discussing weight model, appraisal bias and influence of real estate cycle. For weight model construction and forecasting, this dissertation forecasts weight directly, instead of value like most literature focus. The regression coefficients estimated from factors during the procedure of each approach could serve for reference if weighted average is applied reconciling the value conclusion by valuers. By delving into the core issue of value formation, it hopes to elevate the degree the objectivity and science of real estate appraisal.

房屋預售制度是國內不動產業的一大特色，而長期以來國內對房價的研究皆著重於成屋價格，且大都以特徵價格法分析成屋價格屬性，對預售屋價格的形成及成屋與預售屋彼此價格相互影響一直缺乏深入的研究。造成政府管理及業者經營上的困擾，也直接威脅到購屋的權益，因此透過預售屋價格理論層次的探討，將有助於學術界對房屋預售制度的暸解。 由於房屋預售的交易標的為土地及房屋預售契約，而此約定於未來特定時間交貨之契約買賣形式，基本上即具有遠期交易與期貨的性質。因此本文利用儲存理論於無套利均衡的情形下，依序考慮有無不動產市場景氣變動與預售屋產品風險，來加以推演預售屋價格，最後導出預售屋訂價模式為成屋價格加成屋的持有成本，減預售屋的履約保證費用，加上預期景氣變動價差。模式中預售屋產品風險及市場景氣變動因素的考慮，為本研究學術上的主要貢獻。 進一步利用特徵價格方程式來固定品質，使成屋與預售屋在相同的基礎上比較，並藉由太平洋房屋所提供之民國77年∼82年大台北都會區實際成交案例8885筆來試驗。發現期間預售屋每戶價格平均比成屋高出33．08萬，即就大台北都會區的房屋市場而言，購屋者於此期間選購成屋較有利、比較各年之預售屋與成屋價格，除77年之基差為負以外， 78年∼82年的基差都大於零，其中基差變動的原因，可由本研究所建立之理論模式來加以詮釋。最後應用理論模式來分析房屋市場的基差，說明國內預售屋價格大多高於成屋價格的原因，並詮釋理論模式的政策意涵，與對購屋決策及建商經營的應用。 / The pre-sales housing system in Taiwan is a quite unique method allowing home buyers to speculate on or purchase their houses. The prices of pre-sales houses have become a leading indicator of the housing cycle in the market. However, limited knowledge is availab1e regarding how and why pre-sales house prices are determined, or what is the relationshiP between the pre-sales and existing house prices. 　 Determining Whether the theories of forward or futures transactions can account for the pre-sales house pricing behavior is highly desired since one characteristic feature of the pre-sales syStem is its similarity to forwqrd of futures transactions. In this study, an arbitrage perspective is used to discuss the difference (basis ) between pre-sales and existing house prices. Based on the storage theory, a pricing model suitable for pre-sales houses in Taiwan was established steP by step under the considerations of the presence of expected market changes, and the risk of product uncertainty in pre-sales houses.The price of pre-sales houses is equal to the price of existing houses on the transaction date plus the carry cost, and the price difference resulted from expected market changes minus the contract guarantee cost. The established model was then used to analyze the 8885 actual transaction cases provided by the Pacific Rehouse during l988 and l993. We used hedonic price. theory to analyze the differences between pre-sales and existing house price. As far as the overall market is concerned, the analysis found that the difference between the pre-sales house price on the transaction date and the price of the existing house was NT$330,800/unit. The basis was positive in l988 and negative during l989 and l993. By the pricing modeL, we can explain the price of pre-sales houses was greater then that of existing housing in most cases. The results of our research also can be applied to the real estate policy and the decision of purchasing house.

股票市場對投資者而言是以極大化自有資產為目的，因此如何辨別不同景氣區間對股市的影響為投資者感興趣的議題。傳統上，使用統計資料來幫助我們比較不同景氣區間之差異，然而股票市場之複雜、非線性及不可預測性也經常成為各統計資料失準的關鍵，因此，本篇論文以複雜網路作為分析股票市場之模型，並將各個股票表示成節點、股價變化之關聯性作為連結下，建立出複雜網路，藉此探討股市中的景氣差異。 　　在本研究中，先利用國發會制定的景氣對策信號，來幫助我們選取四段景氣區間，接著將台積電作為網路核心建構個股的相關網路。並以最小生成樹(Minimum Spanning Tree) 將複雜的股票網路簡單化。同時我們計算出各股相關網路之全域網路參數(Global Network Parameters)及區域網路參數(Regional Network Parameters)，以利我們討論兩段景氣好區間與兩段景氣差區間之差異。最後，我們將股市相關網路以分層樹(Hierarchical Tree)來表示，以了解網路分群的結果。 　　結果顯示，我們建構的個股相關網路符合小世界網路特性，在全域網路參數中，景氣好相關網路之常規化平均特徵路徑(Normalization Average Characteristic Path Length)及景氣差相關網路中之平均群聚係數(Average Clustering Coefficient)、平均特徵路徑(Average Characteristic Path Length)、常規化平均特徵路徑(Normalization Average Characteristic Path Length)有顯著差異。 在區域網路參數中，在景氣好相關網路中，被選為網路樞紐並有顯著差異之個股有台達化、宜進與華通，景氣差相關網路則有瑞利、日月光、矽品及萬企。在景氣好相關網路比較時，台積電的連結度與點效率皆具有顯著差異。

為瞭解地方縣市長選舉期間，候選人所爭相開立之競選支票對於地方經濟的影響，本研究將過去僅以中央政府為研究對象的政治景氣循環理論延伸至地方層級，期能藉此彌補相關文獻僅考量政治層面的不足。而關於政治景氣循環理論自Nordhaus(1970)正式提出至今，較具爭議之實證結果分歧的部分，本研究試圖以「執政者操控經濟之能力」的差異予以解釋。 另一方面，基於地方政府彼此間的競爭性，地方層級之政治景氣循環現象對於地方經濟的影響，應有別於中央層級。本研究遂以此現象對房地產價格之影響為焦點，藉以瞭解當政治景氣循環現象可能因執政者操控能力之有無而不必然出現時，各地方之經濟狀況是否將因此而有所差異。 經由理論模型之探討，以及蒐集台灣地區民國74年至87年各縣市之相關年資料以進行實證分析之後，本研究得到下列結論： 1. 就本研究的實證資料而言，我國地方層級存在政治景氣循環現象；而執政者為達成其連任目的而於選前採取擴張政策時，將同時考量其財政自主程度，顯示執政者之操控能力對於政治景氣循環現象的發生有相當的影響。 2. 地方層級之政治景氣循環現象，將伴隨房地產價格的過度資本化，而使房地產價格有相對上較高的傾向；由台灣地區相關資料所得之實證結果亦是如此。由此，可推論此一現象對於地方經濟發展有相當影響。 3. 由於政治景氣循環現象的存在，使得都市發展程度較高、財政自主程度較高的縣市，其房地產價格偏高的現象，似乎是現今民主政治制度下一種難以避免的趨勢。 4. 地方政府贏得選舉的動機，應是中央政府制訂相關政策目標或策略時所不容忽略的，特別是那些須經由地方政府所執行者，如促進區域均衡、促進城鄉發展之策略等。 此外，基於研究結果與限制，關於如何改善在總體經濟變數、政府支出等方面因政治景氣循環現象所引發之人為波動，乃是未來值得進一步探究之課題。或是突破資料之限制，改以季資料或月資料進行實證分析，應能使研究成果更為清晰。再者，關於中央政府對於地方政府行為的影響，亦可為後續研究方向。 第一章 緒論 1 第一節 研究動機與目的 1 第二節 研究方法 4 第三節 研究範圍 5 第四節 研究限制 5 第五節 研究流程 8 第二章 文獻回顧 9 第三章 理論模型 15 第一節 政治景氣循環理論之討論 15 第二節 結合政治景氣循環理論之資本化模型 17 第四章 地方層級政治景氣循環現象探討與實證分析 22 第一節 地方政府操控經濟之誘因與工具 22 第二節 地方政府執政者操控能力之差異 30 第三節 實證分析 36 第四節 小結 49 第五章 地方層級政治景氣循環現象對房地產價格之影響實證分析 51 第一節 各縣市房地產價格概況分析 51 第二節 實證分析 62 第三章 小結 70 第六章 綜合分析與檢討 72 第一節 中央補助款角色之探討 72 第二節 地方層級之政治景氣循環現象與區域均衡發展 74 第三節 實證資料之限制 76 第七章 結論 78 第一節 結論 78 第二節 後續研究方向 80 參考文獻 82 附錄 92 表目錄 表4-1：選民的政黨偏好與改變，1983-1992 23 表4-2：第十屆至第十三屆縣市長選舉當選人名單與得票率 25 表4-3：第十二屆至第十四屆縣市議會之多數黨及該黨籍議員比例 31 表4-4：各縣市之自有財源比例 33 表4-5：各縣市自有財源比例之ANOVA分析結果 35 表4-6：實證資料來源 39 表4-7：選舉循環之虛擬變數設計 40 表4-8：平均每人歲出之選舉循環估計結果 43 表4-9：每年新闢與維護之道路面積之選舉循環估計結果 45 表4-10：地價稅收之選舉循環估計結果 47 表5-1：各縣市房地產報酬率之ANOVA分析結果 57 表5-2：變數定義與資料來源說明 65 表5-3：OLS估計結果 68 表5-4：Parks法估計之結果 69 表a-1：「平均每人歲出」迴歸分析之基本統計量 92 表a-2：「每年新闢與維護之道路面積」迴歸分析之基本統計量 93 表a-3：「地價稅收」迴歸分析之基本統計量 94 表a-4：「房地產報酬率」迴歸分析之基本統計量 95 圖目錄 圖1-1：研究流程圖 8 圖5-1：北部區域縣市之歷年平均區段地價 52 圖5-2：中部區域縣市之歷年平均區段地價 53 圖5-3：南部區域縣市之歷年平均區段地價 54 圖5-4：東部區域縣市之歷年平均區段地價 55 圖5-5：北部區域縣市歷年之房地產報酬率 58 圖5-6：中部區域縣市歷年之房地產報酬率 59 圖5-7：南部區域縣市歷年之房地產報酬率 60 圖5-8：東部區域縣市歷年之房地產報酬率 61

金融海嘯提供我們一個深刻的教訓，因為危機前信貸過度增長伴隨著大量的系統風險，最後導致景氣反轉時銀行業龐大損失。而這些損失將動搖整個金融體系，並引發了一連串的惡性循環(Basel Committee on Banking Supervision , BCBS ,2010a, 2010b)；若依循過往個別審慎監理((Microprudential regulation)原則，將無法察覺背後隱藏的系統風險。因此目前趨勢是將以個別(Micro)與總體審慎監理原則(macro)並重，針對能夠影響整體市場金融穩定風險來源而詳加監管，同時透過規範與監理措施適度的降低系統風險，最終達到金融穩定的目的。IMF、BIS以及FSB(2009)針對G20制定的金融機構、市場與工具的指導文件(Guidance to Assess the Systemic Importance of Financial Institutions, Markets and Instruments)中，認為有效控制系統風險是現階段政策監理最重要的主軸之一。所謂系統風險是指能影響金融機構所持有的部位以及對於實體經濟存在嚴重負面影響的風險來源；此總體風險將存在負外部性而非個別審慎監理的風險因子。 因此本文由兩篇宏觀審慎監管框架文章所構成的研究，分別針對市場流動性風險和信用風險的因子。透過非流動性賣權與逆景氣資本緩衝（CCB）買權來分析和評價兩種新的監管框架。第一篇論文的主要概念是討論市場流動性風險因子，雖然當前銀行監管的重點是資金流動性風險，如新巴塞爾協議三 (Basel III)的流動性風險覆蓋率（LCR）和淨穩定資金比率（NSFR），但金融機構實際上也同時面臨資金和市場流動性之間的高度順週期效應，導致流動性螺旋，並威脅到金融穩定。因此，本文提出一個市場流動性，系統性風險和宏觀審慎監理分析框架來填補這一空白。 與Drehmann和Juselius（2013B）的實證研究結果比較，我們發現利用6個月歷史波動度建構的非流動性選擇權是最有效的提前預警指標（EWIS），且符合穩定政策結構和最小監管成本。此外在三個子樣本和嚴重危機時期亦能同樣保持預警的穩健性。因此如果金融機構能透過預警減少金融機構投資種類、行業、交易對手與大額暴險的集中度時，將可以由危機發生後被動式轉變成危機發生前主動式的風險管理，將符合總體審慎監理定義：能影響所有而非單一的金融機構，以及有效控制破壞總體市場產生的系統風險。 在第二篇文章中，我們專注於信用風險監管框架的避險，即Basel III的逆景氣資本緩衝(CCB)。這個新穎的監理視角將鼓勵銀行在危機前的信貸繁榮時期增加資本緩衝，而非在危機後接受援助或者增加昂貴的資本。據美國聯邦存款保險公司（FDIC）統計，2014年第1季全美的存款機構風險加權資產為10.27兆美金；如果最高的逆景氣資本緩衝被應用到這些銀行，將有2570億美金的資本不得不額外注資。因此本文設計了一個新的買權來符合CCB的監管框架，建立提前資本防禦措施來減輕系統性風險和整體銀行業不穩定。首先發現這款買權將能在順境時注入資本，即更低的潛在違約風險與信貸寬鬆時期，進而抵禦未來發生的金融危機。我們的建議也符合Basel III的目標，在危機前2至5年協助銀行取得資本保護。最重要的是，CCB買權可以透過提前取得資本形成一個“減震器”，舒緩隨後而來經濟衰退的壓力達到降低銀行資本順週期性目標；此外還提供了一個對於銀行過度冒險行為的抗衡力量，成為一個“自動穩定器”來達到宏觀審慎監理目標。 / Financial tsunami offered a profound lesson as the pre-crisis excessive credit growth was accompanied by huge systemic risks that ultimately led to the reversal of economy and huge losses of the banking sector. Such losses will shake the entire financial system and trigger a series of vicious cycles (Basel Committee on Banking Supervision, BCBS, 2010a , 2010b ); the hidden systemic risk may not be observed if we follow the previous principles of micro prudential regulation. The guidance formulated by G20 to assess the systemic importance of financial institutions, markets and instruments (IMF, BIS, and FSB, 2009) analyzes that the main issue of prior micro prudential regulation is that every financial institution’s incentive is to manage its own return-risk tradeoff but not necessarily manage the stability for the financial system as a whole. Consequently, the macroprudential regulation focusing on shocks originating outside the financial system can control the negative externalities of systemic risk rather than micro prudential regulation. This dissertation consists of two essays on the macro prudential framework of market liquidity risk and credit risk factor. We introduce, analyze, and value two new regulation frameworks via an illiquidity put option and a CCB call option respectively. The main concept of first essay is to discuss the macro prudential framework of market liquidity risk factor. Although the current banking regulation focuses on systemic funding liquidity risk such as Liquidity Coverage Ratio (LCR) and Net Stable Funding Ratio (NSFR) of Basel III, financial institutions would actually have highly procyclical effects between funding and market liquidity at the same time, leading to liquidity spirals and threatening to financial stability. We therefore propose a market liquidity, systemic risk and macroregulation analysis framework in Taiwan's capital market to fill this gap. Comparison with the Drehmann and Juselius' empirical study (2013b), we find that illiquidity options by using 6-month historical volatility and forecasting short-term stock declines are effective early warning indicators (EWIs) having most stable policy structures and minimal regulation costs. Applying AUC macroregulation criteria, we show this illiquidity measure is also maintained fairly robustness in different intervals, e.g. during three sub-samples and serious crisis periods. If financial institutions can diversify the concentration of portfolios varieties, industries, and counterparty before crises by using EWIs, the passive risk taking can be converted into the active risk management. It is necessary to prepare the market liquidity and macroregulation framework in advance. In the second essay, we focus the hedging product for credit risk factors, i.e. countercyclical capital buffer (CCB). This purpose of countercyclical capital buffer standards is to encourage banks to increase capital buffers in credit good times that can be used in the future stress. According to Federal Deposit Insurance Corporation (FDIC), the risk-weighted assets of U.S. depository institutions were $10.27trillion dollars in 2014:Q1. If the maximum CCB is applied to these banks, an additional US$257 billion of equity capital will have to be raised. Hence, we design a new option to establish the capital defenses meeting CCB framework and then mitigating systemic risk and banking instability in advance. We show this product injects capital in good times i.e., lower credit risk and more credit expansion, to weather the future financial crisis. Our proposal also complies with the goal of Basel III to obtain capital in 2 to 5 years prior to crises. Most importantly, the CCB option can provide protection with additional capital to act as a "shock absorber" reducing a procyclicality problem in the subsequent downturn. Besides, this type of option also offers a countervailing force to excessive risk-taking behaviors to act as an "automatic stabilizer" for reaching macroprudential goals.

本文探討景氣因素、研發外溢效果及技術知識特質對IC設計業研發支出遞延效應之影響。本研究主要採用Lev and Sougiannis (1996)所發展之研發支出遞延效應實證模型，以國內IC設計業上市櫃公司為對象，透過分析產業特性，區分為多應用性IC設計群組及單應用性IC之資訊、通訊及消費性群組，並探討其研發支出遞延效應。研究發現如下： 一、在研發支出遞延效應中，IC設計業受景氣之影響僅限於當期之研發支出；就研發支出效益受影響程度上，IC設計業亦低於其他IC產業。此結果顯示，IC設計業由於具備產品多元化和應用多元等利基市場特性，且在國內是屬於成長型產業，故景氣影響程度不如其他下游產業來的大。 二、多應用性IC設計公司之研發支出所創造之未來效益，比單應用性IC設計公司高。多應用性IC設計公司因為受到研發外溢效果之影響，其當期及遞延一期之研發支出，會比單應用性IC設計公司創造更高之效益。此結果顯示，多應用性IC設計公司投入於不同領域產品之研發支出，存在類似產業內外溢效果，因此亦加強研發支出對未來效益貢獻之程度。 三、資訊類單應用性IC設計公司之研發支出，對未來所創造之效益金額及持續年限，均未優於通訊類及消費類單應用性IC公司。本研究發現，技術路徑相依度及技術變動程度兩種技術知識特質，並不能完全解釋單應用性不同群組之研發支出所創造未來效益的程度，而必須同時考量下游應用市場之目前狀況及未來潛力，才能對其研發支出遞延效應做出更正確之推論。 / This thesis analyzes three R&D performance issues of the IC design firms in Taiwan. First, it addresses the effect of the fluctuating economic cycle in the semiconductor sector on the R&D performance of design and non-design firms in the IC industry. Secondly, this study examines the R&D spillover effect on the R&D performance of the multifunctional and single-functional groups of IC design firms. Finally, this study discusses how technological knowledge (path independence and complexity) influences the R&D performance of the three subgroups (computer, communication, and consumer) of single-functional IC design firms. Three major findings of the study are as follows: 1.The fluctuating economic cycle in the semiconductor sector has less influence on the R&D performance of the IC design firms than that of the IC non-design firms. The fluctuation affects the R&D expenditure of IC design firms only in the current year, but that effect on the IC non-design firms exist in the current year and also the following year. The R&D performance of IC design firms is also less influenced. 2.The multifunctional IC design firms generate more benefit from R&D expenditure than single-functional ones, suggesting that the former group has a stronger R&D spillover effect. 3.Although the computer subgroup of IC design firms possesses high technological path dependence and low technological complexity, its R&D performance is not better than the other subgroups. This finding suggests that technological path dependence and complexity do not fully explain the difference in R&D performance among the three subgroups of single-functional IC design firms.

思及當前捉襟見肘的財政窘境，無可避免地，債台高築的臺灣實陷入飲鴆止渴般以債養債之無限迴圈中，導致政府政策效能不彰、社會福利運作生弊亦無可厚非；於『公共債務法』之財政規範下，臺灣業已瀕臨法定舉債門檻，故不論是對短期政府支出之排擠、扭曲性稅率之稽徵抑或對長期經濟成長的斲傷，皆是身為中華民國國民真正惶悚不安之所在。 職是之故，本研究係採用一納入政府財政部門及貨幣當局之擴充『實質景氣循環模型』，藉以Sidrauski（1967）所提出的貨幣效用函數為出發點，將實質餘額引進理論模型，並透過計量操作捕捉實證期間起於西元1971年第一季迄至2007年第四季之政府政策函數，過程中，我們不難發現政府購買性支出及稅率皆存在相當的持續性，且對政府未償公債餘額之高低作出某種程度的反應。亦即，若政府實施公債融通政策，俾使期初公債餘額較高之際，則本期甚或往後各期的政府支出將遭受抑制和排擠，尤有甚者，政府勢必擬以提高未來稅率以茲挹注該債務之還本付息所造成的財政缺口；是以，本研究著眼於引進公債餘額對政府支出及稅率存在反饋作用下，財政政策與貨幣政策之總體效果及各總體變數之動態調整過程的風貌。即便公債發行或賒借為政府提供一財務週轉工具以裨益財政政策保有更靈活之彈性，然據模型所產生的結果顯示，就長期而論，政府必須維持一穩定之未償公債餘額，即公債水準具備『均數復歸』性質，而該財政目標係透過削減未來政府支出、調整扭曲性稅率及鑄幣稅融通政策方得以達成預算平衡，準此，該設定將造成公債融通之減稅政策對經濟體系具有實質效果，『公債融通』管道亦『非中立性政策』，從而傳統『李嘉圖等值定理』於本模型中無法成立。 就政策面層次而言，本研究試圖放寬『反饋法則』與政策係數之設定，以檢視透過不同程度之政府支出、稅率甚至貨幣供給途徑的改變來平衡因增加公債發行所造成的財政赤字，對經濟體系之長短期效果有何迥異處；是文亦藉由衝擊反應函數分別探討於政府支出增加、減稅措施及貨幣擴張之下，政策的傳遞機制與各總體變數之動態性質，顯然地，就高債務比率前提下，當政府戮力於刺激景氣而欲積極實施立竿見影的總體經濟政策之際，卻常因狃於急效而欲速不達，非但政策效果有限，亦可能使體系落入更為不景氣的田地，從而，財政惡化不啻為經濟危機的導火線也就不言而喻。再者，貨幣政策對體系之實質變數具有一定程度的作用，是故，本模型於短期內無法一窺『貨幣中立性』之堂奧，唯長期始得以復見。總括言之，政府亟須奉『健全財政』為圭臬，擬定政策時更得戒慎恐懼，並適切權衡利弊得失，以茲裨益有更具信心的經濟表現。 此外，本研究亦透過『效準』實驗以評估模型『配適度』之良窳，即便於反覆疊代法下，該模擬表現係瑕瑜互見而不盡完美，卻也大抵符合景氣循環之『典型化特徵』；然就實質景氣循環模型所為人詬病之勞動市場一隅而論，引進公債之反饋法則下的財政政策操作，無疑地改善了傳統工時與工資率動輒高度正相關之本質，從而獲致相對較低之理論相關係數，亦朝實證資料所呈現工時與工資率存在幾近零相關甚或低度負相關之表徵更邁進一大步。 / With current financial difficulties beyond government capability, it is inevitable that the already deep-in-debt Taiwan opted for momentary relief by paying debt through debt financing and ended up in an infinite loop, causing spiral-down performances in government policies and faulty operations of social welfare instruments. Taiwan has been on the verge of reaching the statutory upper limit of debt financing according to “The Public Debt Act” regulations and all nationals are becoming anxious about such impacts as crowding out of short-run government spending, levying of distorting taxes, and damages on long-run economic growth. To better understand the debt’s impacts, this research uses the “Real Business Cycle Model” extended by taking government treasury agency and monetary institution into account. Starting with Money In Utility Function (MIUF) as proposed by Sidrauski (1967) to introduce real money balance into the theoretical model and, in the process of econometric manipulation, to detect empirical governmental policy functions in the period between the first quarter, 1971 and the fourth quarter, 2007, it is not hard to discover that there are considerable persistence in both government purchases and tax rates, with manifestation of certain degree of responses to the total amount of outstanding bonds the government has yet to pay. In other words, a governmental bond financing policy designed to render high initial bonds outstanding tends to cause suppression and crowding out of government spending in current and even later periods. Furthermore, the government is bound to plan on raising taxes in the future in order to cut financial deficit gap caused by paying back the principles and interests of the debt. Therefore, this study focuses on presenting the macroeconomic effects of fiscal policies and monetary policies, as well as the dynamic adjustment processes of macroeconomic variables based on the impact of feedback effect of bonds outstanding on government spending and tax rates. Even thought public bonds issuance or debt financing serves as a governmental fiscal instrument for financial turnover to ensure flexibility of fiscal policies, our model shows that the government should, from a long-run perspective, maintain a stable amount of bonds outstanding. Put in a different way, the level of bonds outstanding shows “mean-reverting” characteristics which rely on future government spending cut, distorting tax adjustment and seigniorage financing policy to achieve balance of budget. As a result, such setup would cause the bond-financing backed tax deduction policies to create practical effects on economies and, as the bond financing instruments are “Non-Neutrality” policies, would render the “Ricardian Equivalence Theorem” invalid in our model. In the policy aspect, this study tries to relax both “feedback rules” and setup of policy parameters for investigating the differences between long-run and short-run effects on the economy by different degrees of changes in government spending, tax rates and even money supply channels which are used to balance the fiscal deficit caused by increased bond issuance. This article also studies, through the impulse response function, the policy propagation mechanism and the dynamics of key macroeconomic variables under the situation of government spending increase, tax deduction and monetary expansion. It is obvious that the government, in the case of high debt ratios and when making all endeavors to spur economy by implementing macroeconomic policies aimed for instant results, is accustomed to seeking quick fixes only to achieve very limited effects, sometimes even to drive the economy into further recession. It is therefore evident that fiscal degradation could lead to economic disaster. Moreover, as the monetary policies have certain degrees of influence on real variables of the economy, this model will not be able to clearly analyze the “neutrality of money” in such a short period of time. The effect will only reveal in the long run. In summary, the government should keep “sound finance” as the highest guiding principle and be extremely cautious in formulating policies in order to weigh all pros and cons discreetly, thus help to achieve a benefiting economic performance that generates more confidence. Furthermore, this study assesses “goodness of fit” of the model through a “calibration” experiment. Although the simulation results show, under recursive method, intermingled good and poor occasions that are beyond satisfaction, they generally agree with the “typical characteristics” of business cycles. However, in the aspect of long-criticized labor market of the real business cycle model, the fiscal policy operation under feedback rules with introduction of public debts for sure has greatly improved on the conventional intrinsic property of high correlation between labor hours and real wage rates, by delivering a relatively low theoretical correlation coefficient, which is a big step towards the empirical results of almost zero or even weakly negative correlation between labor hours and real wage rates.