由於死亡率曲線與殖利率曲線同樣可用水平(level)、斜率(slope) 、曲度(curvature)來描述，且兩者之參數皆為受到時間因素影響之動態因子，故本研究應用Nelson-Siegel(1987)系列之動態利率期間結構模型，如Diebold and Li (2006)的三因子模型，針對日本1947至2006年死亡率進行配適，再以自我相關模型檢視因子的趨勢變化進而預測；結果發現本研究所使用模型在配適死亡率曲線上效果良好，而高齡人口死亡率預測上較幼年、青少年人口精確，以日本資料而言Svensson四因子模型相較於Lee-Carter模型預測能力佳，但在年輕人口死亡率中則不然。 / The main purpose of this study is tempting to extend existing model in interest model context to mortality modeling. Since the mortality curve has resemblance of interest rate yield curve. Both of them can be describe by level, slope, and curvature terms. Also, the parameters of two curves are the function of time. We apply the Nelson and Siegel family yield rate models such like Diebold and Li (2006) model to fit and forecast the mortality term structure. By using the Japanese mortality data within 1947 to 2006, we find out that the fitting of these models are precise, especially when age dimension being truncated to age 20-103. The forecasting performances comparing with the benchmark Lee-Cater model is better in elder age but worse in younger age.

We investigate the spillover of industry effect in Taiwan stock market. Using a generalized vector autoregressive where forecast-error variance decompositions are invariant to variable ordering, we objectively propose measures of both total and directional spillovers on return and volatility daily data. In full-sample analysis, there is a heavy spillover effect in the interaction between stock market and industries. The stock market acts as a receiver from the information diffused from the industries, but the industries could not be confirmed as spillover outputer or inputer. The rolling-sample findings also pinpoint the high spillovers during the financial events. Finally, conducting the robustness test, we divide the sample periods into subperiods and switch the daily data toward weekly and monthly data, then obtaining the consistent results with prior inference.

摘要 2007年初美國發生次級房貸大量違約, 陸續有銀行倒閉, 進而撼 動整個美國與歐洲股市。一向與美國有密切貿易關係的台灣,在此事 件中到底受到多大的影響? 本文利用DCC模型探討次貸風暴前後,台 美股價間的關係是否有發生顯著的變化? 實證結果發現: 台灣與美國 的動態相關係數在次級房貸之後, 反而變小, 可見台灣的股市並未受 到很大的衝擊, 而亞洲地區的大多數國家也都與台灣相似,與美國的 動態相關係數變小,可見亞洲地區在次貸風暴中扮演著避風港的角色。