情緒指數能否預測石油期貨價格之變化

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葉芷君(Chih-Chun Yeh) 查詢紙本館藏

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財務金融學系

論文名稱

情緒指數能否預測石油期貨價格之變化
(Can Sentiment Index Predict Changes in Oil Futures Prices?)

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至系統瀏覽論文 (2025-7-31以後開放)

摘要(中)

本研究主要係探討情緒指數是否能夠預測石油期貨價格的變化，著重於西德州和布蘭特原油期貨價格之變化方面，研究期間為1994年至2019年，研究分別使用月頻率、週頻率和日頻率等十一種情緒指數來進行預測，並比較情緒指數間預測能力之高低，研究過程中採用標準預測迴歸模型、格蘭傑因果關係檢定及Garch-in-Mean模型加以驗證，實證結果發現部分情緒指數確實可以有效預測石油期貨報酬。再者，藉由Garch-in-Mean檢驗結果，顯示專業投資人情緒指數 - CBSI情緒指數對西德州原油期貨報酬具有聰明錢效應 (smart money effect)；此外，該指數也對於兩種原油期貨報酬具有相當的預測能力，希冀透過本研究能增進投資人對於不同情緒指數的認識，進而能有效利用情緒指數去判斷石油期貨市場中其價格的變化。

關鍵字: 情緒指數、CBSI、石油期貨、格蘭傑因果檢定、Garch-in-Mean

摘要(英)

This thesis explores whether the sentiment index can forecast the changes of oil futures prices, focusing on studying changes in the West Texas Intermediate and Brent crude oil futures prices. The sample period is from 1994 to 2019, using eleven types of monthly-, weekly- and daily-frequency sentiment indexes. We use each individual sentiment index to make prediction and compare the predictive power among them. The research methods include the standard predictive regression model, Granger causality test and Garch-in-Mean model. The empirical results show that some of the sentiment indexes effectively predict oil futures returns. Furthermore, the result in the Garch-in-Mean test also shows that the professional investor sentiment index - CBSI sentiment index has a smart money effect on the West Texas Intermediate crude oil futures returns. In addition, this index also has a considerable predictive ability. Through this study, investors can understand the efficacy between each sentiment index, and also use these sentiment indexes to judge the changes in oil futures prices when investing in the oil futures markets.

Keywords: Sentiment Index, CBSI, Oil Futures, Granger Causality Test, Garch-in-Mean

關鍵字(中)

★ 情緒指數
★ CBSI
★ 石油期貨
★ 格蘭傑因果檢定
★ Garch-in-Mean

關鍵字(英)

★ Sentiment Index
★ CBSI
★ Oil Futures
★ Granger Causality Test
★ Garch-in-Mean

論文目次

目錄
中文摘要 i
英文摘要 ii
誌謝 iii
目錄 iv
表目錄 v
第一章緒論 1
第一節研究背景與動機 1
第二節研究目的 2
第三節論文研究架構與流程 3
第二章文獻回顧 5
第一節情緒指數之重要性 5
第二節股票市場與投資人情緒之關聯性 7
第三節石油價格分析與預測 8
第四節石油市場與投資人情緒之關聯性 10
第五節 CBSI情緒指數 (Consensus Bullish Sentiment Index) 11
第三章研究方法 13
第一節研究對象與樣本選取 13
第二節研究變數選取與定義 14
第三節研究模型建立 18
第四章實證結果與分析 21
第一節敘述統計量與相關性分析 21
第二節樣本內及樣本外預測分析 23
第三節格蘭傑因果檢定 (Granger Causality Test) 27
第四節 Garch-in-Mean模型 29
第五章結論與建議 31
第一節結論 31
第二節研究限制與建議 32
參考文獻 33
附錄 38

表目錄
表1 變數對照表 38
表2 月頻率資料之敘述統計量 39
表3 週頻率與日頻率資料之敘述統計量 40
表4 月頻率資料之相關係數 41
表5 週頻率與日頻率資料之相關係數 42
表6 西德州原油期貨報酬之樣本內預測分析結果 43
表6-1同頻率情緒指數間樣本內預測分析結果之比較 (西德州原油期貨報酬) 44
表7 布蘭特原油期貨報酬之樣本內預測分析結果 45
表7-1同頻率情緒指數間樣本內預測分析結果之比較 (布蘭特原油期貨報酬) 46
表8 西德州原油期貨報酬之樣本外預測分析結果 47
表8-1同頻率情緒指數間樣本外預測分析結果之比較 (西德州原油期貨報酬) 47
表9 布蘭特原油期貨報酬之樣本外預測分析結果 48
表9-1同頻率情緒指數間樣本外預測分析結果之比較 (布蘭特原油期貨報酬) 48
表10 西德州原油期貨報酬與情緒指數間之格蘭傑因果檢定 49
表11 布蘭特原油期貨報酬與情緒指數間之格蘭傑因果檢定 50
表12 西德州原油期貨報酬之條件波動度和情緒指數：Garch-in-Mean模型 51
表13 布蘭特原油期貨報酬之條件波動度和情緒指數：Garch-in-Mean模型 52

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指導教授

高櫻芬葉錦徽(Yin-Feng Gau Jin-Huei Yeh)

審核日期

2020-7-15

推文