本研究旨在探討金融情勢指數與公債、投資等級公司債與非投資等級公司債之關係，藉此探討金融情勢指數應用於債券投資上的實用價值。在研究方法上利用時間序列模型中自我向量回歸模型(Vector Autoregressive Model, VAR)，以Granger因果檢定、衝擊反應函數模型與預測誤差變異分解模型作為分析。研究樣本為聯邦儲備銀行芝加哥分行全國金融情勢指數、聯邦儲備銀行芝加哥分行調整後全國金融情勢指數、彭博金融情勢指數以及美林-美國銀行公債指數報酬率、美林-美國銀行投資等級債券指數報酬率與美林-美國銀行高收益投資債券指數報酬率，研究期間涵蓋1994年7月1日至2011年5月27日之周頻率資料。經實證研究分析後，獲得以下幾點結論：

1.彭博金融情勢指數具有領先公債指數報酬率之單向因果關係；全國金融情勢指數與調整後全國金融情勢指數與公債指數報酬率互為獨立關係。彭博金融情勢指數、全國金融情勢指數以及調整後全國金融情勢指數與投資等級債券指數報酬率具有雙向回饋關係。全國金融情勢指數則與高收益債券指數報酬率具有雙向回饋關係。彭博金融情勢指數與調整後全國金融情勢指數皆無領先高收益債券指數報酬率的關係，但高收益債券指數報酬率則有領先前述兩者之單向因果關係。

2.經Granger因果檢定與預測誤差變異分解模型綜合判斷，彭博金融情勢指數對於公債指數報酬率解釋能力優於全國金融情勢指數與調整後全國金融情勢指數。對於投資等級債券報酬率的解釋能力則以調整後全國金融情勢指數的解釋能力較佳。而高收益債券指數報酬率則以全國金融情勢指數的解釋能力最優。

3.從衝擊反應函數模型得知，公債指數報酬率與彭博金融情勢指數為正向互動關係；投資等級債券指數報酬率與調整後全國金融情勢指數為負向互動關係；高收益債券指數報酬率與全國金融情勢指數亦為負向互動關係。公債指數報酬率與投資等級債券報酬率受到各項金融情勢指數衝擊後，最晚在4期內可回復均衡狀態，顯示公債市場與投資等級債券市場具有好的流動與效率性。高收益債券市場則因為市場流動性較低，需至6期時間才能回復均衡狀態。

4.當彭博金融情勢指數顯示金融情勢不佳時，增持公債資產可望降低市場變動風險。當調整後全國金融情勢指數顯示金融情勢轉佳時，增加投資等級債券資產可望獲取較公債資產較佳報酬。當全國金融情勢指數顯示金融情勢寬鬆時，持有高收益債券之收益優於公債資產與投資等級債券資產。

英文部分
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中文部分

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