論文使用權限 Thesis access permission:校內校外完全公開 unrestricted
開放時間 Available:
校內 Campus: 已公開 available
校外 Off-campus: 已公開 available
論文名稱 Title |
SeLFIES 債券應用及在台可行性探討 SeLFIES Bond Application and Feasibility in Taiwan Market |
||
系所名稱 Department |
|||
畢業學年期 Year, semester |
語文別 Language |
||
學位類別 Degree |
頁數 Number of pages |
50 |
|
研究生 Author |
|||
指導教授 Advisor |
|||
召集委員 Convenor |
|||
口試委員 Advisory Committee |
|||
口試日期 Date of Exam |
2021-06-25 |
繳交日期 Date of Submission |
2021-07-08 |
關鍵字 Keywords |
SeLFIES 債券、退休金規劃、投資組合管理、主成分分析、通膨率預測 SeLFIES bond, Retirement Planning, Quantitative Portfolio Management, Principal Component Analysis, Inflation rate prediction |
||
統計 Statistics |
本論文已被瀏覽 254 次,被下載 31 次 The thesis/dissertation has been browsed 254 times, has been downloaded 31 times. |
中文摘要 |
本研究探討新型債券SeLFIES在台市場應用之可行性,其現金流呈現類似年金給付,但票息透過人均消費量進行調整,更能保證退休後生活水平不受影響,在衡量退休缺口上不必斟酌於報酬率等財務數字,更方便投資人進行退休規劃,目前在台灣市場上能供選擇的退休工具並不多,SeFLEIS有極大的潛力及發展機會,值得深究探討。 欲計算SeFLEIS理論價格,本文以台灣市場資料結合多種總經指標來預估實質利率,並採用主成分分析結合自回歸挑選相關變量以選擇模型,計算出理論價格後,將其與市面上常見的股債60/40配置投資組合及目標日期基金(TDF)進行績效比較,並嘗試用SeLFIES債券取代傳統股債配置中的無風險資產部分,探討其在台灣市場能否如願降低投資組合風險。 研究結果發現以七個主成分搭配AR(2)模型計算出的相對RMSE最低,能最準確預估市場利率,且SeLFIES債券能提前鎖定退休現金流,在市場經濟不佳時有效降低退休風險並獲得穩定報酬。此外,以其取代傳統投資組合中的無風險資產,在各期間內表現都優於一般公債,對於旨在進行退休規劃的投資人而言,若此債券能成功在台發行,是一項推薦選擇的投資標的。 |
Abstract |
This study explores the feasibility of a new type of bond "SeLFIES" in the Taiwan market. Its cash flow is similar to annuity payments, but the coupons are adjusted through per capita consumption, which can better ensure that the standard of living after retirement is not affected. It is much easier to calculate the retirement gap without financial data like the rate of return, making it easier for investors to plan for retirement. Currently, there are not many retirement instruments available in the Taiwan market. SeFLEIS has great potential and development opportunities, which are worthy of further study. To calculate SeLFIES theoretical price, we use Taiwan market data combined with various macroeconomic indicators to estimate the real interest rate and uses principal component analysis combined with autoregression to select relevant variables to choose the model. After calculating the theoretical price, compare it with the 60/40 allocation portfolio and the target-date fund (TDF). Moreover, we use the SeLFIES bond to replace the risk-free asset part of the traditional equity bond allocation portfolios to explore whether it can reduce the portfolio risk in the Taiwan market. The results of the study found that the relative RMSE calculated with the five principal components and the AR(2) model is the lowest, which can estimate the market interest rate most accurately, and the SeLFIES bonds can lock in the retirement cash flow in advance, effectively reducing the retirement risk when the market economy is in recession. Furthermore, using SeLFIES replaces the risk-free assets in the traditional investment portfolio performs better in all periods. For investors who intend to plan for retirement, it is a recommended choice for investment. |
目次 Table of Contents |
Contents 論文審定書 i 摘要 ii Abstract iii List of Figures iv List of Tables v I. Introduction 1 1.1 Background 1 1.2 Motivation for Research 3 1.3 Research Purpose 4 II. Literature Review 5 2.1 Introduction to the basic design concept of SeLFIES 5 2.2 Target Date Funds 6 2.3 Inflation rate prediction model 8 III. Data and Methodology 11 3.1 Analytical Procedures 11 3.2 Data Description 14 3.3 Measure the Achievement Rate of Retirement Goal: 16 3.4 Real Coupon Adjustment Method: 17 3.5 Inflation Rate Prediction 18 3.6 Relative RMSE 18 3.7 Principal Component Analysis 19 3.8 Augmented Dickey-Fuller test 19 IV. Empirical Results 20 4.1 Summary statistics for macroeconomics variables 20 4.2 Principal Component Analysis and Interest Rate Model 22 4.3 SeLFIES Pricing and Index Analysis 25 4.4 Historical Simulation of SeLFIES and Different Portfolio 27 4.5 SeLFIES as Risk Free Asset in Portfolio 35 V. Conclusion 38 5.1 Conclusions 38 5.2 Suggestions 39 References 42 |
參考文獻 References |
References Chen, Y.-B., Tang, S.-l., & Li, D. (2009). Can money supply forecast inflation in China. Economic Theory and Business Management, 2, 22-28. Estrada, J. (2014). The Glidepath illusion: An international perspective. The Journal of Portfolio Management, 40(4), 52-64. Kitamura, Y. (2004). Information Contents of Inflation Indexed Bond Prices: Evaluation of US Treasury Inflation-Protection Securities: Institute for Monetary and Economic Studies, Bank of Japan. Kobor, A., & Muralidhar, A. (2018). How a New Bond Can Greatly Improve Retirement Security. SSRN Electronic Journal. Kobor, A., & Muralidhar, A. (2020). Targeting Retirement Security with a Dynamic Asset Allocation Strategy. Financial Analysts Journal, 76(3), 38-55. Kritzman, M. P., & Merton, R. C. (2018). An Interview with Nobel Laureate Robert C. Merton. Financial Analysts Journal, 74(1), 12-20. Mantilla-Garcia, D., Martinez-Carrasco, M., Garcia Huitron, M. E., & Muralidhar, A. (2020). From Defined-Contribution Towards Target-Income Retirement Systems. Marcellino, M., Stock, J. H., & Watson, M. W. (2003). Macroeconomic forecasting in the euro area: Country specific versus area-wide information. European Economic Review, 47(1), 1-18. Marcellino, M., Stock, J. H., & Watson, M. W. (2006). A comparison of direct and iterated multistep AR methods for forecasting macroeconomic time series. Journal of econometrics, 135(1-2), 499-526. Mehrotra, A., & Sánchez-Fung, J. (2008). Forecasting Inflation in China. China Economic Journal, 1. Merton, R., & Muralidhar, A. (2020). SeLFIES: A New Pension Bond and Currency for Retirement. SSRN Electronic Journal. Merton, R., Muralidhar, A., & Ferreira, R. (2019). SeLFIES for Portugal-An Innovative Pan European Retirement Solution. Muralidhar, A. (2015). New bond would offer a better way to secure DC plans. Pensions and Investments. Muralidhar, A. (2018). Managing Longevity Risk – The Case for Longevity-Indexed Variable Expiration (LIVE) Bonds. SSRN Electronic Journal. Muralidhar, A. (2019). Can (Financial) Ignorance Be Bliss? Financial Analysts Journal, 75, 1-8. Muralidhar, A., & Merton, R. (2017). Time for retirement 'SeLFIES'? Investments and Pensions Europe. Muralidhar, A., Merton, R. C., & Hogan, P. (2020). SeLFIES: A-New (-ity) Look for Retirement. Available at SSRN 3548324. Muralidhar, A., Merton, R. C., & Vitorino, A. (2020). SeLFIES Can Help Brazil Create a SUPER Supplementary Pension. Revista Brasileira de Previdência, 11ª edição–Primeiro Semestre I-2020. Muralidhar, A., Ohashi, K., & shin, s. (2015). for The Most Basic Missing Instrument in Financial Markets: The Case for Forward Starting Bonds. SSRN Electronic Journal. Stock, J., & Watson, M. (2005). An Empirical Comparison of Methods for Forecasting Using Many Predictors. Stock, J. H., & Watson, M. W. (2007). Why has US inflation become harder to forecast? Journal of Money, Credit and banking, 39, 3-33. van Bilsen, S., Boelaars, I., Bovenberg, L., & Mehlkopf, R. (2018). How costly is it to ignore interest rate risk management in your 401 (k) plan? Netspar Discussion Paper, 2. Warren, G. J. (2019). Choosing and using utility functions in forming portfolios. Financial Analysts Journal, 75(3), 39-69. 王勝宏. (2018). 樂活目標日期基金:風險權重之投資組合設計. (碩士). 國立中山大學, 侯德潛、徐千婷. (2000). 我國通貨膨脹預測模型之建立. 中央銀行季刊, 第二十四卷第三期, 9-40. 張育菁. (2012). 通貨膨脹預測:以台灣為例. (碩士). 國立清華大學, 陳柏琪. (1996). 物價膨脹與失業率之抵換關西-菲力普曲線分析之檢討. 自由中國之工業, 19-28. 陳博泰. (2008). 為台灣投資者設計的生命週期基金. (碩士). 國立中山大學, 黃朝熙. (2007). 台灣通貨膨脹預測. 中央銀行季刊, 第二十九卷第一期, 5-29. 楊紫瀅. (2013). 目標期限基金與平衡型基金投資組合策略比較分析. (碩士). 實踐大學, 劉淑敏. (2003). 我國躉售物價對消費者物價之影響效果分析. 中央銀行季刊, 第二十五卷第二期, 37-48. |
電子全文 Fulltext |
本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。 論文使用權限 Thesis access permission:校內校外完全公開 unrestricted 開放時間 Available: 校內 Campus: 已公開 available 校外 Off-campus: 已公開 available |
紙本論文 Printed copies |
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。 開放時間 available 已公開 available |
QR Code |