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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/54554
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor陳旭昇(Shiu-Sheng Chen)
dc.contributor.authorFeng-Kao Yuen
dc.contributor.author于奉高zh_TW
dc.date.accessioned2021-06-16T03:04:01Z-
dc.date.available2017-08-11
dc.date.copyright2015-08-11
dc.date.issued2015
dc.date.submitted2015-06-30
dc.identifier.citationAastveit, Knut A., Bjornland, Hilde C. and Thorsurd, Leif Anders (2014), “What Drives Oil Prices? Emerging Versus Developed Economies,”Journal of Applied Econometrics, (Published online)
Apergis, Nicholas and Miller, Stephen M. (2009), “Do structural oil-market shocks affect stock prices?”Energy Economics, 31(4), 569-575.
Bachmeier, Lance J. and Cha, Inkyung (2011), “Why Don`t Oil Shocks Cause Inflation? Evidence from Disaggregate Inflation Data,”Journal of Money, Credit and Banking, 43(6), 1165-1183.
Basher, Syed Abul, Haug, Alfred A. and Sadorsky, Perry (2012), “Oil Prices, Exchange Rates and Emerging Stock Markets,”Energy Economics, 34(1), 227-240.
Baumeister, Christiane and Peersman, Gert (2013), “The Role of Time-varying Price Elasticities in Accounting for Volatility Changes in the Crude Oil Market,”Journal of Applied Econometrics, 28, 1087-1109.
Buyuksahin, Bahattin and Robe, Michel A. (2014), “Speculators, commodities and cross-market linkages,”Journal of International Money and Finance, 42, 38-70.
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Chen, Sheng-Tung, Kuo, Hsiao-I and Chen, Chi-Chung (2007), “The relationship between GDP and electricity consumption in 10 Asian countries,”Energy Policy, 35, 2611-2621.
Cologni, Alessandro and Manera, Matteo (2008), “Oil prices, inflation and interest rates in a structural cointegrated VAR model for the G-7 countries,”Energy Economics, 30 , 856-888.
Cunado, J. and Perez de Gracia, F. (2005), “Oil prices, economic activity and inflation: evidence for some Asian countries,”The Quarterly Review of Economics and Finance, 45, 65-83.
Goncalves, Silvia and Kilian, Lutz (2004), “Bootstrapping Autoregressions With Conditional Heteroskedasticity of Unknown Form,”Journal of Econometrics, 123, 89-120.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/54554-
dc.description.abstract基於 Kilian (2009) 使用SVAR模型對原油市場供給衝擊和總需求衝擊對原油實質價格影響的分析,本文利用世界月電力消費量同比增長率作為衡量實體經濟活動的指標對 Kilian (2009) 中的模型進行了穩健性檢驗。其中檢驗的重點在於總需求衝擊在1990-2012 期間對原油實質價格的累積效果。我發現 Kilian (2009) 高估了總需求衝擊對原油實質價格的累積效果。另外, Kilian (2009) 中所構建的世界實體經濟活動月指標可能摻雜世界對大宗工業原料的“預防性需求”,而這種需求可能會使後續研究產生偏誤。但若是使用本文所構建的電力需求指標就可以避免這種偏誤。鑒於衡量世界實體經濟活動月指標的缺乏,本文所構建的月指標可以為日後的研究提供一個不一樣的選擇。zh_TW
dc.description.abstractBuilding on Kilian's (2009) structural VAR analysis of the effects of oil supply and aggregate demand shocks on the real price of crude oil, this paper tests the robustness of the model by using year-on-year growth rate of world's monthly electricity consumption as the measure of global economy activity. The focus is on the differences in the cumulative effects that aggregate demand shocks impact on real price of oil during 1990-2012. I find that Kilian (2009) overestimates the effect of aggregate demand shock on oil price. Besides, the monthly index of global real economic activity constructed in Kilian (2009) may contain “precautionary demand' for industrial commodities and which may cause a bias in the follow-up studies. While by using the new index constructed in this paper, the “precautionary demand' can be eliminated and the potential bias may be avoided. For the lack of monthly index measuring the real global economy activity, the monthly index constructed in this paper may be an alternative choice other than Kilian's index in further studies.en
dc.description.provenanceMade available in DSpace on 2021-06-16T03:04:01Z (GMT). No. of bitstreams: 1
ntu-104-R01323026-1.pdf: 4551673 bytes, checksum: 861c8c57c76a8a4791d2cac179b71a24 (MD5)
Previous issue date: 2015
en
dc.description.tableofcontentsContents
1 Introduction . . . . . . . . . . . . . . . . . . . . . . 1
1.1 The SVAR model in oil market . . . . . . . . . . . . . 1
1.2 Development of SVAR model in the oil market . . . . . 3
1.3 An alternative index other than Kilian index . . . . . 4
2 Constructing the world electricity consumption index . .6
2.1 Why choosing electricity consumption . . . . . . . . . 6
2.2 The source of electricity data . . . . . . . . . . . . 7
2.3 Preprocessing . . . . . . . . . . . . . . . . . . . . .8
2.4 Constructing the ELE index . . . . . . . . . . . . . .10
3 Model . . . . . . . . . . . . . . . . . . . . . . . . . 13
4 Empirical Results . . . . . . . . . . . . . . . . . . .15
4.1 The evolution of the shocks . . . . . . . . . . . . . 15
4.2 The responses to each kind of shocks . . . . . . . . .17
4.3 The cumulative eect of shocks on the real price of oil . . . 20
5 Discussion . . . . . . . . . . . . . . . . . . . . . . .22
5.1 Why the aggregate demand shock has a larger cumulative impact over oil price in the model using Kilian index? . .22
5.2 Why the two models have divergent explanation on the oil price fluctuation during the Crisis 2008? . . . . . . . . 25
6 Conclusion . . . . . . . . . . . . . . . . . . . . . . .30
References . . . . . . . . . . . . . . . . . . . . . . . .32
A Appendix . . . . . . . . . . . . . . . . . . . . . . . 36
dc.language.isoen
dc.subject油價zh_TW
dc.subjectVAR模型zh_TW
dc.subjectVAR模型zh_TW
dc.subject電力zh_TW
dc.subject油價zh_TW
dc.subject月指標zh_TW
dc.subject總需求zh_TW
dc.subject月指標zh_TW
dc.subject總需求zh_TW
dc.subject電力zh_TW
dc.subjectAggregate demanden
dc.subjectMonthly indexen
dc.subjectAggregate demanden
dc.subjectElectricityen
dc.subjectStructural VARen
dc.subjectOil pricesen
dc.subjectStructural VARen
dc.subjectElectricityen
dc.subjectMonthly indexen
dc.subjectOil pricesen
dc.title國際原油價格SVAR模型的穩健性檢驗zh_TW
dc.titleA Robust Test for Structural VAR Model of the Global Crude Oil Marketen
dc.typeThesis
dc.date.schoolyear103-2
dc.description.degree碩士
dc.contributor.oralexamcommittee張勝凱(Sheng-Kai Chang),周有熙(Yu-Hsi Chou)
dc.subject.keyword油價,VAR模型,電力,總需求,月指標,zh_TW
dc.subject.keywordOil prices,Structural VAR,Electricity,Aggregate demand,Monthly index,en
dc.relation.page38
dc.rights.note有償授權
dc.date.accepted2015-07-01
dc.contributor.author-college社會科學院zh_TW
dc.contributor.author-dept經濟學研究所zh_TW
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