IDEAS home Printed from https://ideas.repec.org/r/eee/chsofr/v97y2017icp28-38.html

Asymmetric multi-fractality in the U.S. stock indices using index-based model of A-MFDFA

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Yun-Jung Lee & Neung-Woo Kim & Ki-Hong Choi & Seong-Min Yoon, 2020. "Analysis of the Informational Efficiency of the EU Carbon Emission Trading Market: Asymmetric MF-DFA Approach," Energies, MDPI, vol. 13(9), pages 1-14, May.
  2. Garnier, Josselin & Solna, Knut, 2019. "Emergence of turbulent epochs in oil prices," Chaos, Solitons & Fractals, Elsevier, vol. 122(C), pages 281-292.
  3. Mensi, Walid & Sensoy, Ahmet & Vo, Xuan Vinh & Kang, Sang Hoon, 2020. "Impact of COVID-19 outbreak on asymmetric multifractality of gold and oil prices," Resources Policy, Elsevier, vol. 69(C).
  4. Lahmiri, Salim & Bekiros, Stelios, 2017. "Disturbances and complexity in volatility time series," Chaos, Solitons & Fractals, Elsevier, vol. 105(C), pages 38-42.
  5. Naeem, Muhammad Abubakr & Karim, Sitara & Farid, Saqib & Tiwari, Aviral Kumar, 2022. "Comparing the asymmetric efficiency of dirty and clean energy markets pre and during COVID-19," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 548-562.
  6. Lee, Minhyuk & Song, Jae Wook & Kim, Sondo & Chang, Woojin, 2018. "Asymmetric market efficiency using the index-based asymmetric-MFDFA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1278-1294.
  7. Wu, Yue & Shang, Pengjian & Chen, Shijian, 2019. "Modified multifractal large deviation spectrum based on CID for financial market system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1331-1342.
  8. Khan, Khalid & Su, Chi-Wei & Khurshid, Adnan & Umar, Muhammad, 2022. "COVID-19 impact on multifractality of energy prices: Asymmetric multifractality analysis," Energy, Elsevier, vol. 256(C).
  9. Naeem, Muhammad Abubakr & Farid, Saqib & Ferrer, Román & Shahzad, Syed Jawad Hussain, 2021. "Comparative efficiency of green and conventional bonds pre- and during COVID-19: An asymmetric multifractal detrended fluctuation analysis," Energy Policy, Elsevier, vol. 153(C).
  10. Yao, Can-Zhong & Mo, Yi-Na & Zhang, Ze-Kun, 2021. "A study of the efficiency of the Chinese clean energy stock market and its correlation with the crude oil market based on an asymmetric multifractal scaling behavior analysis," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
  11. Yilong Zeng & Boyan Tang & Xuanhao Ren & Sherry Zhefang Zhou & Jianghua Wu & Raymond Lee, 2025. "FCOC: A Fractal-Chaotic Co-driven Framework for Financial Volatility Forecasting," Papers 2511.10365, arXiv.org, revised Nov 2025.
  12. Josselin Garnier & Knut Solna, 2018. "Emergence of Turbulent Epochs in Oil Prices," Papers 1808.09382, arXiv.org, revised Apr 2019.
  13. Lahmiri, Salim & Bekiros, Stelios, 2018. "Chaos, randomness and multi-fractality in Bitcoin market," Chaos, Solitons & Fractals, Elsevier, vol. 106(C), pages 28-34.
  14. Tao Yin & Yiming Wang, 2021. "Market Efficiency and Nonlinear Analysis of Soybean Futures," Sustainability, MDPI, vol. 13(2), pages 1-10, January.
  15. Kong, Xiangguo & Wang, Enyuan & He, Xueqiu & Li, Dexing & Liu, Quanlin, 2017. "Time-varying multifractal of acoustic emission about coal samples subjected to uniaxial compression," Chaos, Solitons & Fractals, Elsevier, vol. 103(C), pages 571-577.
  16. Chowdhury, Mohammad Ashraful Ferdous & Abdullah, Mohammad & Alam, Masud & Abedin, Mohammad Zoynul & Shi, Baofeng, 2023. "NFTs, DeFi, and other assets efficiency and volatility dynamics: An asymmetric multifractality analysis," International Review of Financial Analysis, Elsevier, vol. 87(C).
  17. Naeem, Muhammad Abubakr & Farid, Saqib & Yousaf, Imran & Kang, Sang Hoon, 2023. "Asymmetric efficiency in petroleum markets before and during COVID-19," Resources Policy, Elsevier, vol. 86(PA).
  18. Abdullah, Mohammad & Chowdhury, Mohammad Ashraful Ferdous & Sulong, Zunaidah, 2023. "Asymmetric efficiency and connectedness among green stocks, halal tourism stocks, cryptocurrencies, and commodities: Portfolio hedging implications," Resources Policy, Elsevier, vol. 81(C).
  19. Zhuang, Xiaoyang & Wei, Dan, 2022. "Asymmetric multifractality, comparative efficiency analysis of green finance markets: A dynamic study by index-based model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
  20. Abdullah, Mohammad & Chowdhury, Mohammad Ashraful Ferdous & Wali Ullah, G.M., 2025. "Asymmetric tail risk dynamics, efficiency and risk spillover among FinTech stocks, cryptocurrencies and traditional assets," Global Finance Journal, Elsevier, vol. 64(C).
  21. Liu, Junlin & Chen, Feier, 2018. "Asymmetric volatility varies in different dry bulk freight rate markets under structure breaks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 316-327.
  22. Kai Meng & Khalid Khan, 2024. "Is cryptocurrency Efficient? A High-Frequency Asymmetric Multifractality Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 63(6), pages 2225-2246, June.
  23. Shahzad, Syed Jawad Hussain & Bouri, Elie & Kayani, Ghulam Mujtaba & Nasir, Rana Muhammad & Kristoufek, Ladislav, 2020. "Are clean energy stocks efficient? Asymmetric multifractal scaling behaviour," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
  24. Kakinaka, Shinji & Umeno, Ken, 2021. "Exploring asymmetric multifractal cross-correlations of price–volatility and asymmetric volatility dynamics in cryptocurrency markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
  25. Naeem, Muhammad Abubakr & Yousaf, Imran & Karim, Sitara & Tiwari, Aviral Kumar & Farid, Saqib, 2023. "Comparing asymmetric price efficiency in regional ESG markets before and during COVID-19," Economic Modelling, Elsevier, vol. 118(C).
  26. Gajardo, Gabriel & Kristjanpoller, Werner D. & Minutolo, Marcel, 2018. "Does Bitcoin exhibit the same asymmetric multifractal cross-correlations with crude oil, gold and DJIA as the Euro, Great British Pound and Yen?," Chaos, Solitons & Fractals, Elsevier, vol. 109(C), pages 195-205.
  27. Ko, Bonggyun & Song, Jae Wook, 2018. "A simple analytics framework for evaluating mean escape time in different term structures with stochastic volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 398-412.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.