Application of the LPPL model in the identification and measurement of structural bubbles in the Chinese stock market
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DOI: 10.1016/j.najef.2023.102060
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- Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015.
"Testing For Multiple Bubbles: Historical Episodes Of Exuberance And Collapse In The S&P 500,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1043-1078, November.
- Peter C. B. Phillips & Shu-Ping Shi & Jun Yu, 2013. "Testing for Multiple Bubbles 1: Historical Episodes of Exuberance and Collapse in the S&P 500," Working Papers 04-2013, Singapore Management University, School of Economics.
- Peter C.B. Phillips & Shu-Ping Shi & Jun Yu, 2013. "Testing for Multiple Bubbles: Historical Episodes of Exuberance and Collapse in the S&P 500," Cowles Foundation Discussion Papers 1914, Cowles Foundation for Research in Economics, Yale University.
- Paulo Maio, 2013. "The "Fed Model" and the Predictability of Stock Returns," Review of Finance, European Finance Association, vol. 17(4), pages 1489-1533.
- Andrew Ang & Allan Timmermann, 2012.
"Regime Changes and Financial Markets,"
Annual Review of Financial Economics, Annual Reviews, vol. 4(1), pages 313-337, October.
- Andrew Ang & Allan Timmermann, 2011. "Regime Changes and Financial Markets," NBER Working Papers 17182, National Bureau of Economic Research, Inc.
- Timmermann, Allan & Ang, Andrew, 2011. "Regime Changes and Financial Markets," CEPR Discussion Papers 8480, C.E.P.R. Discussion Papers.
- Jan Bulla & Sascha Mergner & Ingo Bulla & André Sesboüé & Christophe Chesneau, 2011. "Markov-switching asset allocation: Do profitable strategies exist?," Journal of Asset Management, Palgrave Macmillan, vol. 12(5), pages 310-321, November.
- Demos, G. & Sornette, D., 2019. "Comparing nested data sets and objectively determining financial bubbles’ inceptions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 661-675.
- Campbell, J.Y. & Shiller, R.J., 1988.
"Stock Prices, Earnings And Expected Dividends,"
Papers
334, Princeton, Department of Economics - Econometric Research Program.
- John Y. Campbell & Robert J. Shiller, 1988. "Stock Prices, Earnings and Expected Dividends," Cowles Foundation Discussion Papers 858, Cowles Foundation for Research in Economics, Yale University.
- John Y. Campbell & Robert J. Shiller, 1988. "Stock Prices, Earnings and Expected Dividends," NBER Working Papers 2511, National Bureau of Economic Research, Inc.
- Campbell, John & Shiller, Robert, 1988. "Stock Prices, Earnings, and Expected Dividends," Scholarly Articles 3224293, Harvard University Department of Economics.
- G. Demos & D. Sornette, 2017.
"Birth or burst of financial bubbles: which one is easier to diagnose?,"
Quantitative Finance, Taylor & Francis Journals, vol. 17(5), pages 657-675, May.
- Guilherme DEMOS & Qunzhi ZHANG & Didier SORNETTE, 2015. "Birth or Burst of Financial Bubbles: Which One is Easier to Diagnose?," Swiss Finance Institute Research Paper Series 15-57, Swiss Finance Institute.
- Anders Johansen & Olivier Ledoit & Didier Sornette, 2000.
"Crashes As Critical Points,"
International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 3(02), pages 219-255.
- Johansen, Anders & Ledoit, Olivier & Sornette, Didier, 1998. "Crashes at Critical Points," University of California at Los Angeles, Anderson Graduate School of Management qt2s77r0rk, Anderson Graduate School of Management, UCLA.
- John Y. Campbell, Robert J. Shiller, 1988.
"The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors,"
The Review of Financial Studies, Society for Financial Studies, vol. 1(3), pages 195-228.
- John Y. Campbell & Robert J. Shiller, 1986. "The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors," NBER Working Papers 2100, National Bureau of Economic Research, Inc.
- Robert J. Shiller & John Y. Campbell, 1986. "The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors," Cowles Foundation Discussion Papers 812, Cowles Foundation for Research in Economics, Yale University.
- Qun Zhang & Qunzhi Zhang & Didier Sornette, 2016. "Early Warning Signals of Financial Crises with Multi-Scale Quantile Regressions of Log-Periodic Power Law Singularities," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-43, November.
- Robin Greenwood & Samuel G. Hanson & Andrei Shleifer & Jakob Ahm Sørensen, 2022.
"Predictable Financial Crises,"
Journal of Finance, American Finance Association, vol. 77(2), pages 863-921, April.
- Robin Greenwood & Samuel G. Hanson & Andrei Shleifer & Jakob Ahm Sørensen, 2020. "Predictable Financial Crises," NBER Working Papers 27396, National Bureau of Economic Research, Inc.
- Filimonov, V. & Sornette, D., 2013. "A stable and robust calibration scheme of the log-periodic power law model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(17), pages 3698-3707.
- Petr Geraskin & Dean Fantazzini, 2013.
"Everything you always wanted to know about log-periodic power laws for bubble modeling but were afraid to ask,"
The European Journal of Finance, Taylor & Francis Journals, vol. 19(5), pages 366-391, May.
- Fantazzini, Dean & Geraskin, Petr, 2011. "Everything You Always Wanted to Know about Log Periodic Power Laws for Bubble Modelling but Were Afraid to Ask," MPRA Paper 47869, University Library of Munich, Germany.
- Zhang, Qunzhi & Sornette, Didier & Balcilar, Mehmet & Gupta, Rangan & Ozdemir, Zeynel Abidin & Yetkiner, Hakan, 2016.
"LPPLS bubble indicators over two centuries of the S&P 500 index,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 126-139.
- Qunzhi Zhang & Didier Sornette & Mehmet Balcilar & Rangan Gupta & Zeynel A. Ozdemir & Hakan Yetkiner, 2016. "LPPLS Bubble Indicators over Two Centuries of the S&P 500 Index," Working Papers 201606, University of Pretoria, Department of Economics.
- Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015.
"Testing For Multiple Bubbles: Historical Episodes Of Exuberance And Collapse In The S&P 500,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 1043-1078, November.
- Peter C. B. Phillips & Shu-Ping Shi & Jun Yu, 2013. "Testing for Multiple Bubbles 1: Historical Episodes of Exuberance and Collapse in the S&P 500," Working Papers 04-2013, Singapore Management University, School of Economics.
- Peter C.B. Phillips & Shu-Ping Shi & Jun Yu, 2013. "Testing for Multiple Bubbles: Historical Episodes of Exuberance and Collapse in the S&P 500," Cowles Foundation Discussion Papers 1914, Cowles Foundation for Research in Economics, Yale University.
- Yao, Can-Zhong & Li, Hong-Yu, 2021. "A study on the bursting point of Bitcoin based on the BSADF and LPPLS methods," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
- Leung, Mark T. & Daouk, Hazem & Chen, An-Sing, 2000. "Forecasting stock indices: a comparison of classification and level estimation models," International Journal of Forecasting, Elsevier, vol. 16(2), pages 173-190.
- Didier SORNETTE & Guilherme DEMOS & Zhang QUN & Peter CAUWELS & Vladimir FILIMONOV & Qunzhi ZHANG, 2015.
"Real-Time Prediction and Post-Mortem Analysis of the Shanghai 2015 Stock Market Bubble and Crash,"
Swiss Finance Institute Research Paper Series
15-32, Swiss Finance Institute.
- Didier Sornette & Guilherme Demos & Qun Zhang & Peter Cauwels & Vladimir Filimonov & Qunzhi Zhang, 2015. "Real-Time Prediction and Post-Mortem Analysis of the Shanghai 2015 Stock Market Bubble and Crash," Swiss Finance Institute Research Paper Series 15-31, Swiss Finance Institute.
- repec:bla:jfinan:v:43:y:1988:i:3:p:661-76 is not listed on IDEAS
- Vladimir Filimonov & Didier Sornette, 2011. "A Stable and Robust Calibration Scheme of the Log-Periodic Power Law Model," Papers 1108.0099, arXiv.org, revised Jun 2013.
- Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
- Jean-Philippe Bouchaud & Rama Cont, 1998. "A Langevin approach to stock market fluctuations and crashes," Science & Finance (CFM) working paper archive 500027, Science & Finance, Capital Fund Management.
- Sornette, Didier & Johansen, Anders, 1997. "Large financial crashes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 245(3), pages 411-422.
- Diba, Behzad T & Grossman, Herschel I, 1988. "The Theory of Rational Bubbles in Stock Prices," Economic Journal, Royal Economic Society, vol. 98(392), pages 746-754, September.
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More about this item
Keywords
Chinese stock market; Structural bubble; LPPL model; SQP algorithm;All these keywords.
JEL classification:
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
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