本文使用政大資管系及風管系所共同開發的動態財務分析模型(dynamic financial analysis model)，並測試該模型是否能準確區別出健全的產險公司及喪失清償能力的產險公司。我們進一步地使用羅吉斯迴歸模型分析該模型在預測產險公司清償能力的準確性。 從迴歸模型實證結果中指出在10%顯著水準下所有變數皆不顯著。此結果顯示我們的實證測試無法提供強烈的佐證以支持”該動態財務分析模型能夠準確地預測保險人清償能力”的說法。 根據實證結果，我們建議往後的研究可以使用不同年度的資料，藉由大量的樣本以增加統計分析的準確度，同時改善該動態財務分析模型以符合保險人擁有多種再保安排的實際狀況。在實證測試中，我們發現該模型仍然存在一些錯誤。假使該動態財務分析模型能有效率地消除這些錯誤，我們期待修正後的動態財務分析模型在預測產險公司的清償能力上有更好表現。 / This paper set out to empirically test whether the dynamic financial analysis model (DFA), developed in a joint project of Department of Management Information Systems and Risk Management and Insurance, National Chengchi University, could accurately classify both solvent and insolvent property-liability insurers. We used a logistic regression model to analyze the solvency prediction accuracy of the DFA model. The empirical results indicated that none of the variables were significant at the 10% level and did not offer strong supporting evidence that the DFA model could accurately predict the solvency of insurers. Based on this, we suggest that further research should perhaps use data over different years to increase the accuracy of the statistical analysis, by using larger samples; this may improve the DFA model by coordinating actual situations with various reinsurance arrangements. In the empirical tests, we found that the DFA model still has some bugs. If these bugs can be efficiently deleted, we expect a revised DFA model to perform well in predicting the solvency of property-liability insurers.

第一章緒論。分為三節：ヾ研究動機，ゝ目的，ゞ架構、方法與限制。 第二章名詞定義。分為三節：ヾ青年商店之介紹，ゝ企業績效及其衡量，ゞ連鎖之定 義。 第三章美日中各國連鎖經營概況。分為三節。 第四章青年商店的經營績效。分為四節：ヾ財務分析，ゝ與損益有關之因素之分析（ 包括產業結構、環境、策略……）ゞ重要管理功能之遂行程度，々各店主的經營滿足 程度。 第五章青年商店連銷的可行性與方式。分為四節：ヾ現行聯合進貨之績效與困難，ゝ 青年商店連銷可得之利益，ゞ阻礙青年商店連銷的因素，々連銷方式之評估。 結論與建議，分為二節。

確保保險公司的清償能力一直是保險監理的重心。在所有施行的保險清償監理工具中，風險基礎資本（Risk-Based Capital, RBC）是目前為止最先進的代表。然銀行監理機關已經推薦涉險值（Value at Risk, VaR）系統為資本適足要求的工具，因此涉險值有很大的潛力成為下一代的保險資本適足要求工具，雖然尚未施行。由於保險監理的重要性以及RBC和VaR在其中扮演重要的角色，兩者相對上的精確性是我們所感興趣的。 本篇論文的目的是實際去比較RBC及VaR在破產預測上的相對精確性。我們以美國1995到1998年產險公司的實際清償記錄，用型1及型2錯誤檢視RBC及VaR的破產預測能力。RBC的數據直接從產險公司報給NAIC的年報上就可取得，而VaR的數據來自於我們所建立的現金流量模擬模型。既然RBC的數據是實際的數據，而VaR的估計值也是基於公司實際的財務數據而來，我們能以實例展現VaR相較於RBC的財務預警能力。 我們的結果顯示RBC沒有任何財務預警能力，換句話說，沒有一個破產公司的RBC值小於0.7（監理機關可以根據這個值關掉公司）。另一方面，VaR有較好的財務預警能力，但是它同時也會使許多財務健全的公司必須接受許多沒有必要的檢查。我們VaR模型的整體正確分類能力只比隨意分類稍微好一些。 雖然結果並不如原先預期的好，我們仍然對VaR成為保險監理工具抱持樂觀的態度，因為它是目前為止最嚴密也最先進的風險管理工具。我們認為這些結果可以藉由修正不適當的假設後獲得改善，未來研究可以先朝這個方向努力。 / Assuring insurance company solvency has always been the focal point of insurance regulation. Among the employed solvency regulation methods, RBC represents the currently state-of-the-art capital adequacy requirement. Bank regulators already advocated the use of VaR systems in capital adequacy requirements. Value at risk thus has great potential to be the next-generation capital adequacy regulation, although not implemented yet. Because of the importance of solvency regulation as well as the key role played in that regulation by RBC and VaR, the relative accuracy of RBC and VaR is of great interest. The purpose of this research is to empirically compare the relative effectiveness of RBC and VaR in predicting insolvency. Through the solvency record of property-casualty insurers in the United States from 1995 to 1998, we examine the Type I and Type II error of VaR and RBC in predicting insolvency. The RBC figures are readily available from the annual statement since 1994 and the VaR values come from a simulation model that we build up. Since the RBC figures are the “real” numbers and the VaR estimates also base on the companies’ real financial positions, our research will demonstrate how VaR is compared to RBC in early warning for real cases. Our result shows that RBC doesn’t have any prediction power. In other words, none of the bankrupt insurers has a RBC ratio lesser than 0.7, the threshold according to which the regulator can seize the company. On the other hand, VaR has good early warning ability, but also leads the regulator to take too much unnecessary actions on solvent companies. The overall ability of correct classification of our model is just a little stronger than arbitrary classification. Although our results are not as good as we expect, we are still optimistic about the use of VaR, the currently most comprehensive and advanced approach of risk management, as an insurance solvency regulation tool. We attribute the unsatisfactory outcome to some assumptions that may be inappropriate. Further researches can move toward this aspect.

台灣公有土地為數之大，對土地供給市場的影響可見一斑，以台北市信義計畫地區為例，區內公有非公用土地佔全區可開發土地面積之34.6%，其開發決策過程、開發方式，將對全區土地開發活動及地價變化具有相當程度的影響；有鑑於此，本研究將探討現行公有土地開發政策與法令規定，提出公有土地在土地開發市場中，所應扮演的角色功能。再者，在公有土地開發主體方面，利用歐美國家都市建設中大量使用的公私合營土地開發方式(Pubic-Private Partnership, PPP)，公有土地開發主體由政府主導型轉為公私合營土地開發方式，不但可以節省政府財政支出，亦可藉由民間專業人才投入，達到更高的開發效率，正符合了政府獎勵民間參與投資建設的政策。 在公私合營開發公有土地的決策過程中，政府與土地開發商，兩者或因目標並不完全一致，或者是彼此間風險態度不同，其個別尋求的效用函數是不相同的，公部門在政策考量下開發公有土地將尋求公有土地開發效用最大，私部門則站在求取最大利潤報酬的觀點，考量是否參與公有土地開發作業，此時政府則需提供相當的誘因機制，以吸引私部門參與公有土地開發，在此情況下，不同公私合營土地開發方式--設定地上權開發、BOT開發及合作開發，本研究將比較各公私合營開發方式的內涵、運作流程及決策時間的差異，並重新加以定義，作為公有土地開發方式選擇的依據，並利用財務模擬分析，設計各公私合營開發機制，充分發揮公地開發的角色，以滿足都市發展的需要;最後，針對不同土地使用，選擇適合的公有土地開發方式。 本研究建議為下列四點：一、公有土地開發方式制度設計應隨政策目標的不同而有所差異；二、信義計畫區公有土地應暫停標售；三、公有土地各開發方式誘因機制隨土地用途及區位改良；四、公有土地開發方式依景氣情況作開發決策依據。

本研究乃針對建地進行開發之財務分析，土地取得方式以業界最普遍之買斷與合建兩種方式並用探討，找出影響土地開發之變數，先從建立土地開發建築規劃開始，將欲開發之土地作最大之建築面積規劃，按著進行財務分析的變數探討與模型建立，藉著現金流量折現模型運用修正淨現值法(Modify Net Present Value; MNPV)計算出投資個案之稅後淨報酬。並由敏感性分析來研判各種影響土地開發因素之重要性，進一步研究合建分回比例與土地成本、營建成本對開發者的投資報酬之影響、研判訂價政策對開發投資報酬的影響、評估投資計畫的銷售率與投資報酬之關係、分析開發募集資金的來源（融資的狀況）對投資報酬之影響，並研判在不同情境下之土地開發投資獲利性。最後考慮風險狀況下之財務分析模型的蒙地卡羅風險模擬，而加以分析土地開發的自有資金與投資報酬之各種可能風險與報酬之關係。

本文的研究主題為利用實質選擇權的觀念，來協助手機ODM廠商計算並評估各種專案的投資效益，或採取適當的方法提高投資效益。 實質選擇權很適合用來分析具有高度不確定性的計畫的投資價值。一般的廠商自行做研發，是新產品研發的實質選擇權買方。但ODM廠商是幫客戶做研發，產品開發專案的決定權通常在客戶手上，ODM廠商變成新產品研發的實質選擇權賣方。所以要計算ODM廠商的研發專案的投資效益，會和傳統的方法不太一樣。 本文設計出一種分析方式，將ODM廠商提供的”設計與製造的整合服務”中間隱含新產品研發的選擇權賣權的成本估計出來。這些成本，會導致整個ODM的研發計畫的投資價值下降，尤其當產品風險高的時候更嚴重。研究結果發現風險愈高的產品越不適宜由ODM廠商來開發。風險較低的成熟產品則非常適合交給ODM廠商來開發。 另外本文利用這種分析方法，比較各種型式的手機專案的預期投資價值與機會成本，以提供管理者在比較與選擇不同專案時參考。也利用這種方法來分析手機ODM廠針對智慧型手機研發上的各種策略對投資價值的影響，以提供管理者在排定策略優先次序時參考。 / The Real Options approach has recently been growing in popularity in the valuation of R&D projects. It can help to evaluate the chances and risks of R&D investment by reflecting the values of of timing and operational flexibility. In most cases, these investments can be treated as “buying Real R&D Options”. However, the R&D projects of ODM (original design manufactor) companies are quite different. They “sell Real R&D Options” to their Brand-Name customers. To sell Options will increase the risks, so it’s definitely not free. This research utilizes the Real Options concept to evaluate the cost of these Real Options sold by Mobile Phone ODM companies to their customers. With this information, ODM companies can have a reasonable finaicial analysis before they sign the contacts based on market risks and opportunities. Futhermore, in this study we design a method to compare different types of projects based on the Real Options analysis. Companies can prioritize projects based on the results of the analysis. We also propose several approachs to increase the value of these R&D investments by reducing the cost of the Real R&D Options they sold.

本研究之目的在探討，上期對本期所做之盈餘預測與本期實際盈餘間誤差所產生之未預期盈餘，對於管理階層在本期預測下期盈餘以及財務分析師針對該預測所作之預測修正，即對於該兩者的攸關性是否會隨著34號公報之實施而提高，也就是說，在34號公報實施之後，未預期盈餘對於管理當局盈餘預測以及分析師預測修正之影響，是否會更加顯著相關。 實證結果顯示，不論34號公報適用前後，管理當局盈餘預測與未預期盈餘之間皆具有攸關性，但在34號公報適用之後，兩者之間的顯著性並未增強；而另一方面，在34號公報適用前後，財務分析師盈餘預測修正與未預期盈餘之間皆具有攸關性，且在34號公報適用之後，兩者之間的顯著性有增強。 / This thesis examines whether the issuance of SFAS No.34 can heighten the association between the unexpected earnings for current period and the management earnings forecast for the next period. This research also examines if the issuance of SFAS No.34 will heighten the relationship between the unexpected earnings for current period and the analysts’ revision of the management earnings forecast for the next period. The unexpected earnings mean the difference between the earnings forecast for current period and the actual earnings in current period This thesis finds that there is a negative association between management earnings forecast and the error of the expected earnings whether SFAS No.34 has been issued or not, but the issuance of SFAS No.34 doesn’t heighten the association between the management earnings forecast and the error of the expected earnings. Besides, the result of the research shows that there is a positive relationship between the analyst’s revision of the management earnings forecast and the error of the expected earnings. Furthermore, the relationship is heightened by the issuance of SFAS No.34.

本文考量於Excel介面下設計一「壽險公司現金流量模型」，透過保險財管、精算理論的採用與大量隨機模擬亂數的應用，欲建構一結合理論基礎與實務運用的動態財務分析系統雛形。 模型中，資產面的模擬項目共有七項：1.債券與放款：採用CIR或Vesicek兩利率模型供選擇進行利率期間結構生成，以模擬出各到期期限的債券及放款價格。2.股票：以資本資產訂價模型(CAPM)來模擬各類股股票價格的變動與股票投資報酬。3.不動產：使用幾何布朗運動模擬不動產價值與租金收入。4.國外投資：利用幾何布朗運動模擬匯率的變動。5.現金及銀行存款。6.應收款項，考量壞帳情況下，逐年比率攤回殘餘金額。7.其他資產。 負債面採用定期險、終身生死合險與遞延年金險模擬壽險公司業務經營的現金流量情況。藉由資產與負債的整合，可模擬出公司未來十年內各年度的損益情況，讓使用者了解於承受總體經濟各項不確定風險下，壽險公司資產面、負債面與業主權益的現金流量情況。 文末引用個案範例，進行實務操作的說明，示範如何應用本模型來進行最適資產配置決策與敏感度分析，以證明本系統的合理可行性。最後，並對此系統提出檢討與展望，期待後續研究可加入程式語言的應用而建構出一完備的動態財務分析系統。 / The main purpose of this study is to construct a dynamic cash flow testing for the life insurance company by using Excel. Through the adoption of financial and actuarial theories and the application of stochastic method, we want to provide a rudiment analysis framework of life dynamic financial model that combines theoretical basis and practical application. This analysis framework includes seven categories of assets. The simulation models or related issues for each category will be discussed accordingly. – 1. Bonds and mortgage loans: providing CIR and Vesicek interest rate model for users to generate the interest term structure. 2. Stocks: applying CAPM method to simulate the stock prices and stock returns. 3. Real estate and rental income: using Geometric Brownian Motion to simulate the price of real estate and the rental income. 4. Foreign investment assets: using Geometric Brownian Motion to simulate the movement of exchange rate. 5. Cash and Deposits. 6. Account Receivable: after considering bad loans, we amortize the residual account receivables for a specific period. On the liability side, we use three types of products - term life, whole life endowment, and deferred annuity - to generate the business profile as well as the cash flows patterns of the life insurance company. By integrating the asset and liability sides of the model, we can simulate the revenue of the company for the following ten years and enable the users to predict the future cash flows under uncertain financial conditions. Finally, applications of this model are presented as thoroughly as possible to educate the users about how to make the optimal asset allocation decisions and sensitive scenario analysis. The application results show that the model reasonably fits the desired results. Since the model presented here is not a complete DFA model, future researches may consider adding more refined component into the analysis framework like using programming language.

保險公司清償能力一直是保險監理的重心，在所有現行的制度中風險基礎資本是最重要的，但此項制度仍有其缺點，因此其他動態分析模型被許多學者所提出，如涉險值及情境分析。雖然這些動態分析模型被學者所偏好，但監理機關仍須對這些模型的精確程度加以了解，這也是本篇論文所要研究的目的。 基於此，本篇論文以模擬方式及經濟模型加以分析風險基礎資本、情境分析及涉險值等方法的破產預測的相對精確性。其中風險基礎資本完全採用現有NAIC的年報資料，情境分析及涉險值則採用我們所建立的模型，基於此也可以確認現有監理制度是否有缺失。 我們的結果發現風險基礎資本的預測能力很低，動態模型-情境分析及涉險值皆優於風險基礎資本，且在不同動態模型中涉險值的預測能力較好。因此可知被學者所偏好的動態分析模型應是未來保險監理的方向希望藉由本篇提供監理機關一個參考的依據。 / Solvency prediction of insurers has been the focus of insurance regulation. Among the solvency regulation systems, risked-based capital (RBC) is the most important but RBC still has some drawbacks. Thus, the dynamic financial analyses-scenario analysis and Value at Risk have been developed to be the regulation tool. Although, the scholars prefer the dynamic financial analysis, the regulators still want to make sure the accuracy of dynamic financial analysis. That is the purpose of our paper. Therefore, we use the simulation result and the econometric model to analyze the relative effectiveness of RBC, scenario and Value at Risk (VaR). The RBC is from the annual statement and the scenario and VaR come from our simulation model. Our result shows that the RBC has very low explanatory power, the dynamic financial analysis is better than RBC, and VaR outperform scenario analysis. Thus, we conclude that VaR is the way to go for property-casualty insurance regulators.