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Multifractal returns and hierarchical portfolio theory
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Cited by:
- Chen, Cheng & Wang, Yudong, 2017. "Understanding the multifractality in portfolio excess returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 346-355.
- Cifter, Atilla & Ozun, Alper, 2007. "The Effects of International F/X Markets on Domestic Currencies Using Wavelet Networks: Evidence from Emerging Markets," MPRA Paper 2482, University Library of Munich, Germany.
- Y. Malevergne & D. Sornette, 2001. "General framework for a portfolio theory with non-Gaussian risks and non-linear correlations," Papers cond-mat/0103020, arXiv.org.
- Wei, Yu & Wang, Yudong & Huang, Dengshi, 2011. "A copula–multifractal volatility hedging model for CSI 300 index futures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4260-4272.
- 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.
- A. Corcos & J-P Eckmann & A. Malaspinas & Y. Malevergne & D. Sornette, 2002.
"Imitation and contrarian behaviour: hyperbolic bubbles, crashes and chaos,"
Quantitative Finance, Taylor & Francis Journals, vol. 2(4), pages 264-281.
- A. Corcos & J. -P. Eckmann & A. Malaspinas & Y. Malevergne & D. Sornette, 2001. "Imitation and contrarian behavior: hyperbolic bubbles, crashes and chaos," Papers cond-mat/0109410, arXiv.org.
- Anne Corcos & Jean-Pierre Eckmann & A. Malaspinas & Yannick Malevergne & Didier Sornette, 2002. "Imitation and contrarian behavior: hyperbolic bubbles, crashes and chaos," Post-Print hal-03833822, HAL.
- Anne Corcos & J.P. Eckmann & A. Malaspinas & Yannick Malevergne & Didier Sornette, 2002. "Imitation and contrarian behavior : hyperbolic bubbles, crashes and chaos," Post-Print hal-02312891, HAL.
- Oriol Pont & Antonio Turiel & Conrad J. Perez-Vicente, 2009. "Description, modeling and forecasting of data with optimal wavelets," Post-Print inria-00438526, HAL.
- D. Sornette, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based models," Papers 1404.0243, arXiv.org.
- Subbotin, Alexandre, 2009. "Volatility Models: from Conditional Heteroscedasticity to Cascades at Multiple Horizons," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 15(3), pages 94-138.
- Xin-Lan Fu & Xing-Lu Gao & Zheng Shan & Zhi-Qiang Jiang & Wei-Xing Zhou, 2018. "Multifractal characteristics and return predictability in the Chinese stock markets," Papers 1806.07604, arXiv.org.
- Thomas Lux, 2003.
"The Multi-Fractal Model of Asset Returns:Its Estimation via GMM and Its Use for Volatility Forecasting,"
Computing in Economics and Finance 2003
14, Society for Computational Economics.
- Lux, Thomas, 2003. "The multi-fractal model of asset returns: Its estimation via GMM and its use for volatility forecasting," Economics Working Papers 2003-13, Christian-Albrechts-University of Kiel, Department of Economics.
- Oriol Pont & Antonio Turiel & Conrad Perez-Vicente, 2009. "Description, modelling and forecasting of data with optimal wavelets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(1), pages 39-54, June.
- Castiglione, Filippo & Stauffer, Dietrich, 2001. "Multi-scaling in the Cont–Bouchaud microscopic stock market model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 300(3), pages 531-538.
- Alexander Subbotin & Thierry Chauveau & Kateryna Shapovalova, 2009. "Volatility Models: from GARCH to Multi-Horizon Cascades," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00390636, HAL.
- Wei, Yu & Chen, Wang & Lin, Yu, 2013. "Measuring daily Value-at-Risk of SSEC index: A new approach based on multifractal analysis and extreme value theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2163-2174.
- Wang, Yi & Sun, Qi & Zhang, Zilu & Chen, Liqing, 2022. "A risk measure of the stock market that is based on multifractality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).
- Y. Malevergne & V. F. Pisarenko & D. Sornette, 2003. "Empirical Distributions of Log-Returns: between the Stretched Exponential and the Power Law?," Papers physics/0305089, arXiv.org.
- Sornette, Didier & Zhou, Wei-Xing, 2006.
"Importance of positive feedbacks and overconfidence in a self-fulfilling Ising model of financial markets,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(2), pages 704-726.
- Didier Sornette & Wei-Xing Zhou, 2005. "Importance of Positive Feedbacks and Over-confidence in a Self-Fulfilling Ising Model of Financial Markets," Papers cond-mat/0503607, arXiv.org, revised Mar 2005.
- Alexander Shapovalov & Andrey Trifonov & Elena Masalova, 2008. "Nonlinear Fokker-Planck Equation in the Model of Asset Returns," Papers 0804.0900, arXiv.org.
- Krenar Avdulaj & Ladislav Kristoufek, 2020. "On Tail Dependence and Multifractality," Mathematics, MDPI, vol. 8(10), pages 1-13, October.
- Cornelis A. Los & Rossitsa M. Yalamova, 2004. "Multi-Fractal Spectral Analysis of the 1987 Stock Market Crash," Finance 0409050, University Library of Munich, Germany.
- D. Sornette & Y. Malevergne & J. F. Muzy, 2002. "Volatility fingerprints of large shocks: Endogeneous versus exogeneous," Papers cond-mat/0204626, arXiv.org.
- Didier SORNETTE, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based Models," Swiss Finance Institute Research Paper Series 14-25, Swiss Finance Institute.
- Chen, Wang & Wei, Yu & Lang, Qiaoqi & Lin, Yu & Liu, Maojuan, 2014. "Financial market volatility and contagion effect: A copula–multifractal volatility approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 398(C), pages 289-300.
- Reza Hosseini & Samin Tajik & Zahra Koohi Lai & Tayeb Jamali & Emmanuel Haven & G. Reza Jafari, 2022. "Quantum Bohmian Inspired Potential to Model Non-Gaussian Events and the Application in Financial Markets," Papers 2204.11203, arXiv.org.
- Lee, Hojin & Song, Jae Wook & Chang, Woojin, 2016. "Multifractal Value at Risk model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 113-122.