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dc.contributor.author | Zhang, Qunzhi![]() |
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dc.contributor.author | Sornette, Didier![]() |
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dc.contributor.author | Balcilar, Mehmet![]() |
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dc.contributor.author | Gupta, Rangan![]() |
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dc.contributor.author | Ozdemir, Zeynel Abidin![]() |
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dc.contributor.author | Yetkiner, Hakan![]() |
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dc.date.accessioned | 2016-06-15T07:47:38Z | |
dc.date.issued | 2016-09 | |
dc.description.abstract | The aim of this paper is to present novel tests for the early causal diagnostic of positive and negative bubbles in the S&P 500 index and the detection of End-of-Bubble signals with their corresponding confidence levels. We use monthly S&P 500 data covering the period from August 1791 to August 2014. This study is the first work in the literature showing the possibility to develop reliable ex-ante diagnostics of the frequent regime shifts over two centuries of data. We show that the DS LPPLS (log-periodic power law singularity) approach successfully diagnoses positive and negative bubbles, constructs efficient End-of-Bubble signals for all of the well-documented bubbles, and obtains for the first time new statistical evidence of bubbles for some other events. We also compare the DS LPPLS method to the exponential curve fitting and the generalized sup ADF test approaches and find that DS LPPLS system is more accurate in identifying well-known bubble events, with significantly smaller numbers of false negatives and false positives. | en_ZA |
dc.description.department | Economics | en_ZA |
dc.description.embargo | 2017-09-30 | |
dc.description.librarian | hb2016 | en_ZA |
dc.description.uri | http://www.elsevier.com/locate/physa | en_ZA |
dc.identifier.citation | Zhang, Q, Sornette, D, BalcIlar, M, Gupta, R, Ozdemir, ZA & Yetkiner, H 2016, 'LPPLS bubble indicators over two centuries of the S&P 500 index', Physica A: Statistical Mechanics and its Applications, vol. 458, pp.126-139. | en_ZA |
dc.identifier.issn | 0378-4371 (print) | |
dc.identifier.issn | 1873-2119 (online) | |
dc.identifier.other | 10.2139/ssrn.2727755 | |
dc.identifier.uri | http://hdl.handle.net/2263/53236 | |
dc.language.iso | en | en_ZA |
dc.publisher | Elsevier | en_ZA |
dc.rights | © 2016 Elsevier Inc. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Physica A: Statistical Mechanics and its Applications. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Physica A : Statistical Mechanics and its Applications, vol. 458, pp.126-139, 2016. doi : 10.2139/ssrn.2727755. | en_ZA |
dc.subject | S&P 500 | en_ZA |
dc.subject | LPPL method | en_ZA |
dc.subject | Stock market bubble | en_ZA |
dc.subject | Forecast | en_ZA |
dc.subject | Bubble indicators | en_ZA |
dc.title | LPPLS bubble indicators over two centuries of the S&P 500 index | en_ZA |
dc.type | Postprint Article | en_ZA |