IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v315y2022i2d10.1007_s10479-021-03959-8.html
   My bibliography  Save this article

Hierarchical analysis of Chinese financial market based on manifold structure

Author

Listed:
  • Yan Huang

    (Xihua University)

  • Jiansong Wan

    (Sichuan Academy of Aerospace Technology)

Abstract

This paper aims to discuss the fragilities of hierarchical structures of Chinese financial market, and find out the possible faults. We propose an analysis approach to explore the structure characteristics of financial market based on the manifold structure of financial data. First, we extract the underlying manifold embedded in financial time series data by manifold learning, which governs the dynamics of financial system. Second, the surface curvature of manifold is used to serve the quantitative analysis of manifold structure, in which the rate of curvature change is employed to measure the structure fragility. Finally, the dynamics of manifold structures are discussed by Lyapunov exponents, which further explore the fragilities of markets and confirm the conclusions of curvature analysis. In empirical research, we select CSI 300 index as the overall trend indicator of China's financial market, and nine industry indexes as hierarchical market indicators. Our research results indicate that Chinese financial market has less chaotic than the real economy industries, in spite of its high fragility. Some real economic industries are most likely to crash first in the event of a crisis. The findings contribute to present the states of financial markets and provide decision support for investors.

Suggested Citation

  • Yan Huang & Jiansong Wan, 2022. "Hierarchical analysis of Chinese financial market based on manifold structure," Annals of Operations Research, Springer, vol. 315(2), pages 1135-1150, August.
    • Handle: RePEc:spr:annopr:v:315:y:2022:i:2:d:10.1007_s10479-021-03959-8
    DOI: 10.1007/s10479-021-03959-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-021-03959-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10479-021-03959-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Elisa Benincà & Jef Huisman & Reinhard Heerkloss & Klaus D. Jöhnk & Pedro Branco & Egbert H. Van Nes & Marten Scheffer & Stephen P. Ellner, 2008. "Chaos in a long-term experiment with a plankton community," Nature, Nature, vol. 451(7180), pages 822-825, February.
    2. Xiaofeng Hui & Aoran Zhang, 2020. "Construction and Empirical Research on the Dynamic Provisioning Model of China’s Banking Sector under the Macro-Prudential Framework," Sustainability, MDPI, vol. 12(20), pages 1-26, October.
    3. Atif Ansar & Bent Flyvbjerg & Alexander Budzier & Daniel Lunn, 2016. "Does infrastructure investment lead to economic growth or economic fragility? Evidence from China," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 32(3), pages 360-390.
    4. Baker, Malcolm & Wurgler, Jeffrey & Yuan, Yu, 2012. "Global, local, and contagious investor sentiment," Journal of Financial Economics, Elsevier, vol. 104(2), pages 272-287.
    5. Beck, Thorsten & Chen, Tao & Lin, Chen & Song, Frank M., 2016. "Financial innovation: The bright and the dark sides," Journal of Banking & Finance, Elsevier, vol. 72(C), pages 28-51.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Papapostolou, Nikos C. & Pouliasis, Panos K. & Nomikos, Nikos K. & Kyriakou, Ioannis, 2016. "Shipping investor sentiment and international stock return predictability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 96(C), pages 81-94.
    2. Chue, Timothy K. & Gul, Ferdinand A. & Mian, G. Mujtaba, 2019. "Aggregate investor sentiment and stock return synchronicity," Journal of Banking & Finance, Elsevier, vol. 108(C).
    3. Derrick W. H. Fung & Charles C. Yang & Jason J. H. Yeh, 2024. "The market price to embedded value gap: an analysis of European life insurers," Review of Quantitative Finance and Accounting, Springer, vol. 62(1), pages 69-96, January.
    4. Hou, Yang & Meng, Jiayin, 2018. "The momentum effect in the Chinese market and its relationship with the simultaneous and the lagged investor sentiment," MPRA Paper 94838, University Library of Munich, Germany.
    5. Aissia, Dorsaf Ben, 2014. "IPO first-day returns: Skewness preference, investor sentiment and uncertainty underlying factors," Review of Financial Economics, Elsevier, vol. 23(3), pages 148-154.
    6. Zhou, Liyun & Huang, Jialiang, 2020. "Contagion of future-level sentiment in Chinese Agricultural Futures Markets," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    7. Hasan, Iftekhar & Li, Xiang & Takalo, Tuomas, 2023. "Technological innovation and the bank lending channel of monetary policy transmission," BOFIT Discussion Papers 9/2023, Bank of Finland Institute for Emerging Economies (BOFIT).
    8. Li, Jinfang, 2014. "Multi-period sentiment asset pricing model with information," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 118-130.
    9. Rama Krishna Yelamanchili, 2019. "Impact of Consumer Sentiment on Defensive and Aggressive Stock Returns: Indian Evidence," International Journal of Economics and Financial Issues, Econjournals, vol. 9(4), pages 109-114.
    10. Chuantao Cui & Leona Shao-Zhi Li, 2019. "High-speed rail and inventory reduction: firm-level evidence from China," Applied Economics, Taylor & Francis Journals, vol. 51(25), pages 2715-2730, May.
    11. Siganos, Antonios & Vagenas-Nanos, Evangelos & Verwijmeren, Patrick, 2014. "Facebook's daily sentiment and international stock markets," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 730-743.
    12. Jing Deng & Yun Zhang & Xiaoyun Xing & Cheng Liu, 2022. "Can Carbon Neutrality Commitment Contribute to the Sustainable Development of China’s New Energy Companies?," Sustainability, MDPI, vol. 14(18), pages 1-20, September.
    13. Guiet, Jérôme & Poggiale, Jean-Christophe & Maury, Olivier, 2016. "Modelling the community size-spectrum: recent developments and new directions," Ecological Modelling, Elsevier, vol. 337(C), pages 4-14.
    14. Afees A. Salisu & Abdulsalam Abidemi Sikiru & Philip C. Omoke, 2023. "COVID-19 pandemic and financial innovations," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3885-3904, August.
    15. Liyun Zhou & Weinan Lin & Chunpeng Yang, 2024. "Investor trading behavior and asset prices: Evidence from quantile regression analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1722-1744, April.
    16. Ehrmann, Michael & Jansen, David-Jan, 2022. "Stock return comovement when investors are distracted: More, and more homogeneous," Journal of International Money and Finance, Elsevier, vol. 129(C).
    17. Abuzayed, Bana & Ben Ammar, Mouldi & Molyneux, Philip & Al-Fayoumi, Nedal, 2024. "Corruption, lending and bank performance," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 802-830.
    18. Yao Zheng & Eric Osmer, 2018. "The Relationship between Hedge Fund Performance and Stock Market Sentiment," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 21(03), pages 1-29, September.
    19. N. Banholzer & S. Heiden & D. Schneller, 2019. "Exploiting investor sentiment for portfolio optimization," Business Research, Springer;German Academic Association for Business Research, vol. 12(2), pages 671-702, December.
    20. Mehmet Balcilar & Riza Demirer, 2014. "The Effect of Global Shocks and Volatility on Herd Behavior in Borsa Istanbul," BIFEC Book of Abstracts & Proceedings, Research and Business Development Department, Borsa Istanbul, vol. 1(2), pages 142-172, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:annopr:v:315:y:2022:i:2:d:10.1007_s10479-021-03959-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.