Predicting Financial Extremes Based on Weighted Visual Graph of Major Stock Indices
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DOI: 10.1155/2019/5320686
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- Zhang, Rong & Ashuri, Baabak & Shyr, Yu & Deng, Yong, 2018. "Forecasting Construction Cost Index based on visibility graph: A network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 239-252.
- Sornette, Didier & Zhou, Wei-Xing, 2006.
"Predictability of large future changes in major financial indices,"
International Journal of Forecasting, Elsevier, vol. 22(1), pages 153-168.
- D. Sornette & W. -X. Zhou, 2003. "Predictability of large future changes in major financial indices," Papers cond-mat/0304601, arXiv.org, revised Aug 2004.
- Wanfeng Yan & Edgar van Tuyll van Serooskerken, 2015. "Forecasting Financial Extremes: A Network Degree Measure of Super-exponential Growth," Papers 1505.04060, arXiv.org.
- Lü, Linyuan & Zhou, Tao, 2011. "Link prediction in complex networks: A survey," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(6), pages 1150-1170.
- Liu, Chuang & Zhou, Wei-Xing & Yuan, Wei-Kang, 2010. "Statistical properties of visibility graph of energy dissipation rates in three-dimensional fully developed turbulence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(13), pages 2675-2681.
- 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.
- Rong Zhang & Baabak Ashuri & Yong Deng, 2017. "A novel method for forecasting time series based on fuzzy logic and visibility graph," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 11(4), pages 759-783, December.
- Wang, Minggang & Xu, Hua & Tian, Lixin & Eugene Stanley, H., 2018. "Degree distributions and motif profiles of limited penetrable horizontal visibility graphs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 620-634.
- Mutua Stephen & Changgui Gu & Huijie Yang, 2015. "Visibility Graph Based Time Series Analysis," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-19, November.
- Vamvakaris, Michail D. & Pantelous, Athanasios A. & Zuev, Konstantin M., 2018. "Time series analysis of S&P 500 index: A horizontal visibility graph approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 497(C), pages 41-51.
- Yue Dong & Jiepeng Wang & Tingqiang Chen, 2019. "Price Linkage Rumors in the Stock Market and Investor Risk Contagion on Bilayer-Coupled Networks," Complexity, Hindawi, vol. 2019, pages 1-21, April.
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