本研究致力於探討美國聯準會(FED)實施量化寬鬆政策(QE)與否，商業銀行資產負債表對於股價的影響。本文藉由總經指標(工業生產指數、製造業採購經理人指數)、利差變數(公司債利差、10年期公司債利差)，以及資產負債表變數(存款、貸款等)，對商業銀行股價進行解釋。並透過量化寬鬆政策(QE)的虛擬變數，了解該政策對股價的影響，以及實施該政策是否能夠改善資產負債表變數的顯著程度和影響方向。方法上，本文採用迴歸分析的方式進行實證分析。首先，研究以總經指標以及利差變數對股價進行解釋，且期間限定為量化寬鬆政策期間，藉此確認這兩類變數對股價的影響。後續則以加入資產負債表變數、量化寬鬆(QE)虛擬變數等，並將期間延伸至15年，以進一步釐清實施量化寬鬆(QE)政策的影響。本文實證結果顯示，美國量化寬鬆政策對於商業銀行股的股價有負面影響，且活期存款對股價的影響亦為負向。 / The thesis focuses on the FED policy – Quantitative Easing (QE) and how the policy affect the S&P 500 commercial bank sub-index return. Based on past researches, the article includes macroeconomic variables (IP, PMI), term structure variables, bank balance sheet variables (deposits and loans), and a QE dummy variable. With these variables, the outcomes are generated by regression. It can be observed that with the implementation of QE policy, stock returns are negative on average. Moreover, large banks would benefit from provide more commercial loans; on the other hand, small banks would obtain a positive return by lending more consumer loans. Demand deposits are another significant variable which would have negative impact on stock returns.

資本市場之系統性風險加劇時，對於利率變動型人壽保險所持有之區隔資產將出現大幅波動，進而影響保險公司之清償能力，本研究透過建立區隔資產負債表之隨機模型，檢視系統性風險下對於人壽保險業違約風險之變化，並透過敏感度分析找出對違約風險影響最大的因子。 本研究依據利率變動型壽險之現金流量建立公司之資產負債模型，預期建立Heston (1993)模型描述標的資產的隨機波動過程，相較於以往Black-Scholes (1973)模型更能反映真實的市場波動。本研究藉由資產與負債的變化，衡量保險公司違約風險，同時分析影響違約風險之各項因子，包含解約、死亡與資產配置策略之關聯性。本研究結果顯示，宣告利率、評價時間長度及資產配置策略等皆會影響保險公司之違約風險及其破產幅度。 / When systemic risk of capital markets exacerbates, the segment assets that held by interest sensitive life insurance policies will fluctuate widely and affect insurer's solvency. This paper considers the problem of valuating the default risk of the life insurers under systematic risk, by constructing a stochastic model of segment balance sheet. In this paper, we establish insurer's asset-liability model on the basis of interest sensitive life insurance policies' cash flow.In particular, we use Heston(1993) model to simulate stochastic process of assets, which is better reflect market volatility than Black-Scholes(1973) model in reality. And moreover, by means of the variation on asset and liability, this study evaluating the default risk of life insurers and analyze the factors affect default risk, like the correlation between surrender, death and asset allocation. And using the result of sensitivity analysis to determine which factor is more important, like guaranteed rate, time period of valuation and so on.

論文摘要: 本研究以現金餘額計劃（Cash Balance Plan）及確定提撥退休金計劃（Defined Contribution Pension Plan）建構出公務人員退撫基金之建議機制，建構之主要目的在於透過第一層現金餘額計劃之利息給付機制降低退休基金利率風險，同時由第二層確定提撥計劃獲取額外退休所得，使雇主與員工在双層式退休金計劃下，同時承擔投資風險，以降低基金利率風險並同時滿足適當退休所得保障。本文在現金餘額計劃不同控管年限及利息給付假設下，模擬超額積蓄（Overfunded）基金與不足額積蓄（Underfunded）基金執行資產負債管理（Asset Liability Management）所需存續期間，同時模擬双層式退休金計劃提供員工之退休所得替代率，研究結果發現： 1、超額積蓄基金及不足額積蓄基金均可以在目前資本市場中找到符合所需存續期間之資產投資。在控管20年限內，超額積蓄基金所需存續期間在-1.71年到0.39年之間；不足額積蓄基金所需存續期間在4.68年到8.31年之間。 2、退休基金越接近超額狀態越有利於資產負債管理。當基金積蓄狀態越接近超額積蓄時，基金負債與資產的比例較不足額積蓄基金低，故資產負債管理所需存續期間較短，對於基金能夠控管的年限也越長。 3、雇主可透過現金餘額計劃利息給付機制執行百分之百免疫策略。雇主可利用現金餘額計劃利息給付依據外部債券利率為參考依據的特性，鎖定債券利率，達到資產負債管理百分之百免疫效果。 4、現金餘額計劃執行百分之百免疫策略情況下，45歲以下公務人員採行自動選擇投資基金（Default Fund）為高風險投資基金，自動選擇提撥率（Default Rate）為每月薪資5.08﹪，可使員工達到適當所得替代率保障水準。 / Abstract This thesis proposes an new alternative two-tier pension composed of Cash Balance Plan (CBP ) and defined contribution pension plan to the traditional defined benefit pension plan of Taiwan Public Employee Retirement System(TPERS). In order to decrease the interest-rate risk of the pension fund and to provide additional retirement income protection, we utilize the credit rate mechanism of CBP and supplement CBP with additional defined contribution plan. We investigate the Asset-Liability Management (ALM) for TPERS and calculate the liability duration under different time horizons, interest credits of CBP. We also simulate the replacement rate of the two-tier pension plan under different contribution rates, and investment returns. The results are as follows: 1、Given the twenty-year time horizons, the asset duration of overfunded plan ranges between –1.71 years and 0.39 years, whereas that of underfunded plan varies from 4.68 years to 8.31 years. In this case, the requirements of asset duration can be satisfied in the Taiwan Capital Market. 2、The overfunded pension plan has higher probabilities to meet the requirements of asset duration. Therefore, we suggest that the fund manager can increase the asset allocation percentage of external fund management in order to improve the long-term returns. 3、Perfect matching of pension fund can be achieved by matching the yield of securities to interest credit under CBP . In addition, we suggest that the interest credit of the new labor contracts should take the trend of the current interest rate into consideration. 4、Replacement rates provided by CBP for woman range from 19.05﹪ to 45.70﹪and from 20.86﹪to 50.05﹪for man assuming the interest credit rate is 5.2%. To increase the retirement income, the defined contribution plan provide additional replacement rate between 13.56﹪and 162.96﹪for woman and between 14.85﹪and 178.42﹪for man assuming the employee can contribute 3.08 percent to 13.37 percent of regular salaries and investment returns are from 4 percent to 8 percent .

本研究著重於分析發行大量長年期利率敏感型契約、高財務槓桿比例的人壽保險業中公司經理人之投資決策，發現台灣壽險業亦存在Canner et al.(1997)提出之資產配置迷思，亦即風險性資產中債券與股票之比率於不同壽險公司間有差異，與共同基金分離理論中陳述之風險態度不同之投資人所持有之債券與股票比率應相同不相符。本文嘗試以Sorensen(1999)提出之擬似動態規劃法(Quasi- dynamic Programming)最適化到期之效用函數，試算經理人於股票及不同到期固定收益債券之最適持有比例。且詳細探討不同風險偏好及投資期限對於壽險公司投資組合之影響。將業主權益之最適投資策略加上負債之複製投資組合成為策略性資產配置結果，並將其與目前台灣壽險公司之資產配置做比較。研究結果顯示： 1.以擬似動態規畫法求得之最適投資組合於不同風險態度下皆為長期債券以及股票。當經理人之風險趨避程度增加時，投資於股票之比例會減少、投資於債券之比例會增加。 2.比較台灣壽險公司之債券與股票配置比例與本研究之結果發現，本資公司之風險態度較外資公司積極，本資公司應提高其債券之持有比例。 本研究最後以Bajeux-Besnainou et al. (2001)提出之資產配置迷思解釋說明本資公司與外資公司持有之債券與股票比率之所以不同非因資產配置迷思之存在，本資公司與外資公司於風險性資產中持有之債券與股票比率是相同的，但因風險態度較為趨避之公司，投資於風險性資產比率下降、提高避險部位之配置，導致整體之股票與債券比率增加。 關鍵字：資產負債管理、策略性資產配置、擬似動態規劃法。

本研究運用Vasecik、ARMA與VEC三種時間序列模型，以蒙地卡羅法，模擬未來五年台幣利率、美元利率與新台幣兌美元匯率的隨機漫步過程，並分析壽險公司的資產、負債與業主權益價值，在利率與匯率的隨機過程中所受到的影響。 藉由蒙地卡羅模擬之隨機漫步過程，本研究發現在利率模型方面，Vasicek利率模型因具有均數回歸的特性，較VEC模型擁有更穩定的隨機漫步過程；在匯率模型方面，VEC模型因同時考量長期影響與短期影響的效果，較ARMA模型擁有較穩定的漫步過程。 在負債面的模擬結果中，當利率下跌時，保單應提列準備金價值的成長速度較利率上升時快，此點反應壽險公司在低利率的環境下，將面臨較嚴峻的資本要求；同時，藉由歷史資料以Vasicek債券評價模型估計之利率期間結構，整體結構呈現負斜率與凹口向上的走勢，在此情形下，短期利率的值較長期利率的值高，保單應提列的準備金價值較原始估計時更高。 在長期的低利率環境中，上述現象反應於長期保單的價值變化尤為明顯。本研究建議在進行保單的精算訂價時，不應僅以預定利率做為保單全期的折現因子，而應將長期的利率風險納入考量。 同時，匯率的變化亦嚴重衝擊壽險公司的業主權益，在模擬結果中，當匯率落於風險值時，壽險公司配置於美元資產的減損將造成業主權益呈現虧損，此點亦反應當壽險公司將資產配置於海外時，必須謹慎地評估外匯避險的相關策略。 整體而言，在本研究中，將資產配置偏重台幣的投資策略擁有較穩定的業主權益價值，並在短期擁有較佳的風險轉換報酬能力；另一方面，將資產配置偏重美元的投資策略在長期擁有較佳的風險轉換報酬能力，然而，也因其擁有較高的風險值，壽險公司可能面臨較嚴重的損失。本研究建議壽險公司在進行海外資產配置時，應謹慎地將利率風險與匯率風險納入考量。 / This article uses Monte Carlo simulation method to forecast the random walk process of Taiwan interest rate, US interest rate, and Taiwan US dollar exchange rate between next five years. The simulation base on three time series model：Vasecik, ARMA and VEC. Through the random walk process, this article aims to analyze the influence in asset, liability and equity by the change of interest rate and exchange rate. In this paper, we find that the Vasicek interest rate model has a more stable stochastic process than the VEC model, which because of the effect by mean reversion. On the other hand, because the VEC exchange rate model takes both long-term and short-term impact in concern, it has a more robust stochastic process than the ARMA model. Through the simulation results of the liabilities, we find that when the interest rate fell, the reserve value of insurance policy will rise faster, which makes life insurance companies face more severe capital requirements in the low interest rate environment. Besides, we also find that the interest rate term structure in the Vasicek Bond Pricing Model displays negative slopes with concave upward, which means the value of short-term interest rate higher than the value of long-term interest rate. In this situation, the reserve value of insurance policy will become much higher than the value original priced. In the long-term low interest rate environment, the impact of interest rate risk has more effect in the long-term insurance policy. This paper suggests that when pricing the costs of insurance policy, we should not only use one interest rate as the full term discount factor. The better way is to discount with the interest rate term structure. Overall, in this paper, the asset allocation strategy, which focus on Taiwan commercial bonds, has both better performances in value at risk and better ability to covert risk into revenue in the short term. On the other hand, the asset allocation strategy, which focus on US commercial bonds, has better ability to covert risk into revenue in the long run. When conducting overseas asset allocation, we suggest that life insurance companies should carefully consider interest rate risk and exchange rate risk.

傳統的資產負債管理(Asset-Liability Management，ALM)研究大多強調數量分析方法，並未考慮資料來源的問題。然而在銀行實務上，資產負債管理人員卻必須根據現有內外部資料來釐定資產負債組合的整体政策。在決策支援系統中，模式整合的功能包含模式之組合及連結等，可用以整合數量分析模式與相關資料。本研究運用人工智慧技術來探討資產負債管理中模式整合之問題。藉此可以明瞭ALM的分析流程，以作為銀行人員訓練之參考。另一方面由於應用黑板架構發展系統，也可以提供一個有彈性的整合環境，以反應使用者需求及資料異動狀況，亦可彈性新增、刪除及修改模式整合過程中的資料結構與知識內涵，以為未來連接理論技巧與實務環境之參考。 / The computer support for Asset Liability Management (ALM) in the literature emphasizes on the mathematical analysis and does not address the data source problems. In the practical banking environment, however, ALM decisions are made based on the dynamic internal and external data changes. Therefore, an ideal ALM decision support system has to consider the integration of data sources and mathematical analysis. Traditional Decision Support Systems (DSS) rely on the expert's assistance to understand the problem and formulate or integrate appropriate models. There is a growing recognition that incorporates Artificial Intelligence techniques (Al) into the DSS can enhance the acceptance of these decision aids by management. 　　This paper intends to develop an Intelligent Decision Support System (TDSS) and addresses the model integration concept for the ALM. In the paper, model integration is defined as a series of processes from which important decision making information is inferred through automatic data model mapping and mathematical model conversion. The investigation of model integration concept helps the ALM analysis process understanding which can be useful for baaldng personnel training. On the other hand, the IDSS provides a flexible integration environment in which the system can flexibly response to the user's analysis request with the updated data situations. Since the blackboard architecture used for the system development supports the modularization structure, its inherent maintainability aLows a flexible update of the domain knowledge and data structure, and can therefore serve as a testbed to evaluate the potential integration approaches of various ALM data and mathematical models.

本研究的目的是針對退休金的長期負債以資產負債管理的方式提出有效的投資避險策略建議。在過去，傳統精算的資產負債管理大多採用確定投資模型（Deterministic Model），即以過去的經驗設立「精算假設」，但是這樣的假設無法精確的呈現未來的趨勢，所以本文的第一部份，便是根據過去的台灣總體經濟資料，建構一個退休基金的隨機投資模型（Stochastic Investment Model）。首先，我們以ECM（Error Correlation Model）模式建構出第一個投資模型，之後在精簡參數的考量下，建構第二個以因果關係為基礎的Causality投資模型，再以模型配適能力與預測能力比較兩模型，結果顯示Causality投資模型優於ECM投資模型。 　　有了投資模型，我們設定不同的退休金負債形式，如固定成長型負債MF、隨通貨膨脹成長M^R負債及隨max{固定成長比例，通貨膨脹}而成長的退休金負債M^L，以靜態避險的方式去求得各資產的最適配適比例。從模擬的結果中發現隨著到期日的增長，投資在風險性高報酬率佳的投資標的物上的比例也越來越高。另外，隨著負債固定成長比例f的增加，其M^L負債之期初資產配置額便越接近M^F負債之期初資產配置額。整體而言，我們由模擬中可得出，使用投資組合的投資方式優於單一資產投資的結論。 / In this study, we investigate the hedging strategies for pension liabilities by using Asset-Liability Management method. In the past, the traditional actuarial valuation usually does not take account of market value for both assets and liabilities. Most of the traditional actuarial valuation adopted the Deterministic Model, that is, setting the assumptions based on the experiences. However, it can not exactly show the trend in the future. In part one of this study, we build a stochastic investment model for the pension funds based on Taiwan Market data. First, we apply the first model : ECM( Error Correlation Model ). And then, we apply the second model : Causality Model under considering parsimonious parameterization. Finally, we compare the results of ECM with Causality Model on fitting and forecasting efficiency, and we find that Causality Model is better than ECM. With the investment model, we set some formulas of pension liabilities calculated to obtain the best fit proportion of each valuation by the static hedging. This involves finding optimal static hedging strategies to minimize riskiness of the investment portfolio relative to the liability. Overall, from the simulation results, for static hedging in these kinds of liabilities, investing in all three assets is a better strategy than investing in a single asset class. This confirms that the more assets we use, the more effectively we can hedge.

本論文應用數學規劃建立符合我國法令規範與投資政策說明書之投資政策及風險管理的資產負債管理模型。主要的討論對象為國民年金、公務人員退休撫卹基金與新制勞工退休金。模型中主要透過資產配置的收益與提撥收入維持現金流的平衡，以支應現在或未來的負債。在提出的模型中，採取維持最低基金公積率的策略，以確保長期的償付能力。當償付能力不足時，以政府撥補或是修正提撥率處理巨額的虧損。且使用機率限制式將發生不足的風險控制在可接受的範圍內。因此本論文提出的模型為多階段的有補償的混和整數隨機規劃模型。

本研究以Plantinga（2010）對退休金基金所提出之績效歸因模型應用於臺灣的壽險公司，並檢定每單位負債下，壽險公司的資產負債配置不匹配是否會影響到公司的投資收益；以及檢定在公司規模及壽險公司負債成本兩因素做為控制變數之下，資產負債不匹配程度是否會影響到壽險公司的投資報酬率的部分，得到以下結果： （一） 在2007年至2012年間，每單位負債下，壽險公司的資產負債配置不匹配會影響到公司的投資收益，且影響為負。 （二） 壽險公司的盈餘資產積極投資報酬率，與其負債成本間有顯著的正向相關；和公司規模間有正向相關；而與資產負債不匹配程度無明顯的相關性。 （三） 壽險公司的名目資產積極投資報酬率，與其資產負債不匹配程度有正向相關，但並不非常顯著；而與公司規模無明顯的相關性；與負債成本相關性之間的關係，亦不是非常顯著。 此研究應用Plantinga（2010）的內部績效衡量的模型，其以每單位負債表示報酬率，更能清楚看出，若在不增加自有資本的前提下，每個績效歸因對公司負債的影響大小，可以做為業界之參考。 關鍵字：資產配置、內部績效、追蹤資料、資產負債不匹配程度 / This research of pension fund is conducted based on Plantinga’s (2010) performance attribution model and applied to insurance companies in Taiwan; The research tested how insurance companies investment return per unit of liability and investment rate of return would be affected would be affected under the circumstance of asset-liability-mismatch based on two variables: company size and cost of capital. The result is shown below: （i） Under unit liability, the asset-liability allocation has negative effect on the return of insurer during 2007 to 2012. （ii） There is a significant positive relationship between insurer’s cost of liability and surplus asset active return rate; positive relationship between insurer’s liability scale and surplus asset active return rate; no significant relationship between asset-liability mismatch level and surplus asset active return rate. （iii） There is a positive but not significant relationship between asset-liability mismatch level and nominal asset active return rate; no significant relationship between insurer’s liability scale and nominal asset active return rate; no significant relationship between insurer’s cost of liability and nominal asset active return rate, either. The research, which is based on Platinga’s (2010) internal performance measurement model, demonstrates the degree of influence on company’s liability disregard of any capital injection. The result can be used as industry reference. Key words：asset-liability allocation, internal performance measurement model, asset-liability mismatch level, panel data

2001年國際貨幣基金 (IMF) 為使各國政府財政資訊能更完整的表達其全貌、提高營運績效、加強財政責任、提高財政透明度，進而詳實評估政府活動對總體經濟影響程度，並使各國間與學術研究機構有一致性的比較基礎，捨棄1986年版現金基礎的政府財政統計手冊，重新公布改採權責發生基礎記錄經濟事項的政府財政統計手冊。 我國政府會計除基金別之外，又有機關別；會計基礎之採用除現金基礎，又有修正現金基礎、修正應計基礎及契約責任制等，致政府所編製財務報表，非專業人士難以瞭解其報導內容，大大降低財務報表的有用性。八０年代以後，歐美先進國家財政改革過程中，改採以應計基礎編製政府財務報導，藉由成本會計管理觀念的導入，提高政府財政效率及效能，並有效加強資產及負債的管理績效，故本研究以應計基礎試編我國93年度中央政府的合併資產負債表，以呈現政府目前的財政狀況。 本研究將93年度中央政府 (1)普通基金公務機關決算、(2)非營業特種基金決算、(3)國營事業決算、(4)已結束營業尚未清理完畢之前省營或國營事業清理期間決算等四大部分，將未依商業會計應計基礎所編製的平衡表，經調整、補列各項資產及負債項目及沖轉內部交易等事項後，試編93年度中央政府合併資產負債表，其淨值為7,529.85億元。 / In 2001 the International Monetary Fund (IMF) dedicated for the various countries' government finance information more integral to display the complete visions of government finance, to enhance the operation efficiency, to reinforce the fiscal accountability, and to uplift the fiscal transparency, furthermore to evaluate the effects of government activities on the overall economy, and to enable the various countries and the academic research institutes to have the coherence comparison benchmark, abandoned the cash basis of the Government Finance Statistics Manual of 1986, and renounced to adopt the economic transaction record of the Government Finance Statistics Manual 2001 on an accrual basis. In Taiwan government accounting has been classified by institutions as well as by funds. All kinds of government accounting basis adopted in Taiwan are as follows: the cash basis, the modified cash basis, the revision accrual basis and the contract responsibility system. Therefore the financial report forms and contents published by the government, could not been understood by the public, except the professional. Therefore the usability of the financial report forms is greatly reduced. After 1980s, during the fiscal reform in European and American advanced countries, adaptation of accrual basis to establish government finance report form, by introducing the concepts of cost accounting, enhances the government finance efficiency and effectiveness greatly, and strengthens the performances of asset and liability management. Therefore this research employs accrual basis trying to establish a consolidated balance sheet of 2004 fiscal year for central government in Taiwan, and to show the fiscal stance of this country. This research tries to combine the fiscal year 2004 final accounts of central authorities, including (1) the agency unit general fund’s final accounts, (2) non-profit special fund’s final accounts, (3) state-owned enterprises final accounts, and (4) not yet sorted out but finished business of the province-owned or the state-owned enterprises liquidated period of final accounts, which are all not arranged according to commercial accounting basis. After finishing adjustments and additional arrangements for some items of assets and liabilities and off-setting the amounts of internal transactions, fiscal year 2004 central government consolidated balance sheet’s net worth is 752.98 billion NT Dollars.