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題名:利率期限結構估計與其資訊內涵應用
作者:張千雲 引用關係
作者(外文):Chien-Yun Chang
校院名稱:國立高雄第一科技大學
系所名稱:管理研究所
指導教授:周建新
學位類別:博士
出版日期:2008
主題關鍵詞:債券基金利率期限結構主成份分析極端值理論Nelson-Siegel模型Nelson and Siegel model.bond fundterm structure of interest rateprinciple component analysisextreme value theory
原始連結:連回原系統網址new window
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本文將針對國內資本市場中,與利率相關性較高的債券基金與金融機構股票,做為本文的二大研究議題,並分別探討利率期限結構資訊內涵,是否能解釋債券基金報酬與金融機構股票風險的變動,幫助投資人分別就報酬與風險,擬定投資策略或進行風險管理。
在主題一的部份,實證結果發現:(1)部份債券基金的特性會影響基金的績效;(2)國內債券基金超額報酬率,對於長短期利差變動所帶來的利率風險最為敏感;此外,固定收益型債券基金對於利率期限結構變動的敏感度,較類貨幣型債券基金為低;(3)本文以利率期限結構變化為策略執行的訊號,模擬債券基金的投資,無論就固定收益型或類貨幣型債券基金之績效而言,債券基金特性的資訊與對市場利率風險的掌握,將有助於投資人獲取較佳的操作績效。
在主題二的部份,本文結合金融機構股票報酬率的時間序列與橫斷面資料,利用極端值理論,並以Nelson-Siegel模型的水平移動 、斜率變化與曲度變化三者,做為利率因子的替代變數,探討利率因子變化對於金融類股風險值的影響程度。實證結果顯示利率因子與金融機構風險值間呈現負向關係,代表利率下降會導致金融機構的風險值增加。對於不同業務內容的金融機構,其風險值與利率變化的關聯性亦有所不同。而金控業由於其業務多元化可以分散風險,故能有效降低長短期利率變化對於其風險值的影響程度。
This paper investigates the information content embedded in the term structure of interest rates. The bond fund returns and the Value-at-Risk (VaR) for stock returns of financial institutions are intensive examination in the thesis.
In the first part of the thesis, the empirical results indicate that, First, the partial characters of bond funds present significant influences on both quasi money market fund and the real bond fund returns. Second, the results also show that the slope factor, it has a significantly positive effect on bond fund returns. Thus, the effects of the term structure of interest upon the real bond fund returns are less sensitive than that upon the quasi money market fund. Third, this paper simulates active trading strategy base on the signal of the variation of the term structure of interest rate. The result supports the strategy with the bond fund characters and term structure of interest rate can obtain excess return for all bond funds.
In the second part, a time-series and cross-sectional combined data is employed. We investigate the relationship between the Value-at-Risk (VaR) for stock returns of financial institutions base on extreme value theory (EVT) and three interest rates factors based on Nelson-Siegel (1987) model. The empirical results indicate that a negative relationship between the calculated VaRs and the interest rate factors is significant. In addition, we conclude the outcome is quite different among different financial sector stocks. The financial holding companies could diversify their business risk, and it can effectively reduce the impact of term structure movements on their VaR calculations.
The employment of information contents from term structure estimating should be definitely necessary and imperative. The results of this paper can be helpful for the investors to draft their strategies and to effectively manage their portfolios.
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