The 2006–2008 oil bubble: Evidence of speculation, and prediction
By Didier Sornette, Ryan Woodard, Wei‐Xing Zhou. 2009
200 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Global and Planetary Change, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/737be8e0ed03bb29df758d0ed292845403a13df4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Didier Sornette
- Wanfeng Yan
- Wei‐Xing Zhou
- Ryan Woodard
- Saskia ter Ellen
- Remco C. J. Zwinkels
- Ling-Yun He
- Shu-Peng Chen
In Global and Planetary Change
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- Bubble Diagnosis and Prediction of the 2005-2007 and 2008-2009 Chinese Stock Market Bubbles (2009, unknown): “…above, subsequent successes include the predictions of the peak in mid-2004 of the real-estate bubble in the UK by Zhou and Sornette (2003a), of the peak in mid-2006 of the US housing bubble by Zhou and Sornette(2006b) and of the peak in July 2008 of the global oil bubble by Sornette et al. (2009).”
- Dragon-Kings, Black Swans and the Prediction of Crises (2009, methodology): “il price time series was scanned in multiple windows. Also shown are dates of our original analysis in June 2008 and the actual observed peak oil price on 3 July 2008. Reproduced from Sornette et al. [68]. Manuscript title 15 Fig 28 (19 February 2009) Our analysis has been performed on data kindly p”
- Clarifications to questions and criticisms on the Johansen–Ledoit–Sornette financial bubble model (2011, methodology): “Taking into account the two points mentioned above, the quality of the fits with the JLS model is furthermore checked by the visualization of the fits and the original data [17, 18, 34, 35, 80].”
- Oil price dynamics: A behavioral finance approach with heterogeneous agents (2010, background): “However, there are large misalignments between the price and the fundamental value of crude oil (Sornette et al., 2009).”