The mirror of history: How to statistically identify stock market bubble bursts
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DOI: 10.1016/j.jebo.2022.09.024
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- S. Boubaker & Zhenya Liu & Tianqing Sui & L. Zhai, 2022. "The Mirror of History: How to Statistically Identify Stock Market Bubble Bursts," Post-Print hal-04454682, HAL.
References listed on IDEAS
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- Li, Bo & Liu, Zhenya & Teka, Hanen & Wang, Shixuan, 2023. "The evolvement of momentum effects in China: Evidence from functional data analysis," Research in International Business and Finance, Elsevier, vol. 64(C).
- Muhammad Ramzan & Mohammad Razib Hossain & Kashif Raza Abbasi & Tomiwa Sunday Adebayo & Rafael Alvarado, 2024. "Unveiling time-varying asymmetries in the stock market returns through energy prices, green innovation, and market risk factors: wavelet-based evidence from China," Economic Change and Restructuring, Springer, vol. 57(3), pages 1-36, June.
- Dettoni, Robinson & Gil-Alana, Luis A. & Yaya, OlaOluwa S., 2024. "Stock market prices and Dividends in the US: Bubbles or Long-run equilibria relationships?," International Review of Financial Analysis, Elsevier, vol. 94(C).
- Dettoni, Robinson & Gil-Alana, Luis Alberiko, 2023. "Testing the hypothesis of duration dependence in the U.S. housing market," Finance Research Letters, Elsevier, vol. 58(PD).
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More about this item
Keywords
Stock markets; Change-point detection; Bubble burst; Transformation method;All these keywords.
JEL classification:
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- G01 - Financial Economics - - General - - - Financial Crises
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