Journal of Finance and Accounting

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Predictability of Financial Crisis via Pair Coupling of Commodity Market and Stock Market

Received: 20 December 2018    Accepted: 14 January 2019    Published: 31 January 2019
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Abstract

The complex interactions between stock market and commodity market in financial crisis has been investigated by many researchers, but there is less known about how useful the pair coupling of the two markets for predicting financial crisis, where the pair coupling is the hidden essence of market interactions. This article investigates three kinds of couplings, namely time coupling, frequency coupling and space coupling, which are the different aspects of the pair coupling. In addition, a two-layer model, namely CHMM-ANN, is proposed to investigate the couplings and evaluate the predicting abilities based on the couplings. Coupled Hidden Markov Model (CHMM) is adopted at the bottom level to capture the hidden couplings, and then the couplings are put as input to classical Artificial Neural Network (ANN) at the top level to predict financial crisis. The experiment results on real financial data confirm the advantages of the pair coupling in predicting financial crisis.

DOI 10.11648/j.jfa.20190701.12
Published in Journal of Finance and Accounting (Volume 7, Issue 1, January 2019)
Page(s) 9-16
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Financial Crisis Predictability, Pair Coupling, Stock Market, Commodity Market

References
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Author Information
  • School of Economics, Hefei University of Technology, Hefei, P. R. China

  • School of Economics, Hefei University of Technology, Hefei, P. R. China

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  • APA Style

    Wei Cao, Tingting He. (2019). Predictability of Financial Crisis via Pair Coupling of Commodity Market and Stock Market. Journal of Finance and Accounting, 7(1), 9-16. https://doi.org/10.11648/j.jfa.20190701.12

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    ACS Style

    Wei Cao; Tingting He. Predictability of Financial Crisis via Pair Coupling of Commodity Market and Stock Market. J. Finance Account. 2019, 7(1), 9-16. doi: 10.11648/j.jfa.20190701.12

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    AMA Style

    Wei Cao, Tingting He. Predictability of Financial Crisis via Pair Coupling of Commodity Market and Stock Market. J Finance Account. 2019;7(1):9-16. doi: 10.11648/j.jfa.20190701.12

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  • @article{10.11648/j.jfa.20190701.12,
      author = {Wei Cao and Tingting He},
      title = {Predictability of Financial Crisis via Pair Coupling of Commodity Market and Stock Market},
      journal = {Journal of Finance and Accounting},
      volume = {7},
      number = {1},
      pages = {9-16},
      doi = {10.11648/j.jfa.20190701.12},
      url = {https://doi.org/10.11648/j.jfa.20190701.12},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.jfa.20190701.12},
      abstract = {The complex interactions between stock market and commodity market in financial crisis has been investigated by many researchers, but there is less known about how useful the pair coupling of the two markets for predicting financial crisis, where the pair coupling is the hidden essence of market interactions. This article investigates three kinds of couplings, namely time coupling, frequency coupling and space coupling, which are the different aspects of the pair coupling. In addition, a two-layer model, namely CHMM-ANN, is proposed to investigate the couplings and evaluate the predicting abilities based on the couplings. Coupled Hidden Markov Model (CHMM) is adopted at the bottom level to capture the hidden couplings, and then the couplings are put as input to classical Artificial Neural Network (ANN) at the top level to predict financial crisis. The experiment results on real financial data confirm the advantages of the pair coupling in predicting financial crisis.},
     year = {2019}
    }
    

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  • TY  - JOUR
    T1  - Predictability of Financial Crisis via Pair Coupling of Commodity Market and Stock Market
    AU  - Wei Cao
    AU  - Tingting He
    Y1  - 2019/01/31
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    N1  - https://doi.org/10.11648/j.jfa.20190701.12
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    T2  - Journal of Finance and Accounting
    JF  - Journal of Finance and Accounting
    JO  - Journal of Finance and Accounting
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    EP  - 16
    PB  - Science Publishing Group
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    UR  - https://doi.org/10.11648/j.jfa.20190701.12
    AB  - The complex interactions between stock market and commodity market in financial crisis has been investigated by many researchers, but there is less known about how useful the pair coupling of the two markets for predicting financial crisis, where the pair coupling is the hidden essence of market interactions. This article investigates three kinds of couplings, namely time coupling, frequency coupling and space coupling, which are the different aspects of the pair coupling. In addition, a two-layer model, namely CHMM-ANN, is proposed to investigate the couplings and evaluate the predicting abilities based on the couplings. Coupled Hidden Markov Model (CHMM) is adopted at the bottom level to capture the hidden couplings, and then the couplings are put as input to classical Artificial Neural Network (ANN) at the top level to predict financial crisis. The experiment results on real financial data confirm the advantages of the pair coupling in predicting financial crisis.
    VL  - 7
    IS  - 1
    ER  - 

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