Renormalization Group Analysis of the 2000-2002 anti-bubble in the US S&P 500 index: Explanation of the hierarchy of 5 crashes and Prediction
W. -X. Zhou, D. Sornette
Abstract
We propose a straightforward extension of our previously proposed log-periodic power law model of the ``anti-bubble'' regime of the USA market since the summer of 2000, in terms of the renormalization group framework to model critical points. Using a previous work by Gluzman and Sornette (2002) on the classification of the class of Weierstrass-like functions, we show that the five crashes that occurred since August 2000 can be accurately modelled by this approach, in a fully consistent way with no additional parameters. Our theory suggests an overall consistent organization of the investors forming a collective network which interact to form the pessimistic bearish ``anti-bubble'' regime with intermittent acceleration of the positive feedbacks of pessimistic sentiment leading to these crashes. We develop retrospective predictions, that confirm the existence of significant arbitrage opportunities for a trader using our model. Finally, we offer a prediction for the unknown future of the US S&P500 index extending over 2003 and 2004, that refines the previous prediction of Sornette and Zhou (2002).
Create a lesson
Related papers
Is higher-order physics different?
Pablo Villegas, Sandro Meloni
The dynamics of early transoceanic voyages: A resource-coupled model of crew health and survival
Nuno Crokidakis
When higher-order interactions matter: reducibility, parsimony, and microscopic organization
Alex Arenas, Federico Battiston, Andrea Gabrielli
Geography as the Organizing Grammar of Geospatial Models
Rajiv Ranjan, Shashank Tamaskar
Towards stratified sampling for redistricting plans
Zijian Wang, Gregory J. Herschlag, Joon-Hyeok Yim et al.
BanglaShop-CRS: A User-Centric Bangla Dataset for Conversational Recommendation
Tabia Tanzin Prama, Christopher M. Danforth, Peter Sheridan Dodds