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Dynamic of the States of Three Different Stock Markets from Correlation and Partial Correlation Changes

Received: 7 July 2021    Accepted: 21 July 2021    Published: 18 August 2021
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Abstract

The core focus of the study is to examine financial states using index effect on stock to stock correlations of developed, developing and emerging market. The three markets such as S&P 500, KOSPI 200 and DSE are declared as developed, developing and emerging market respectively. To study the similarity between stock price changes, we calculate the time series of the daily log return. Closing stock prices of the targeted markets have been used to measure the daily return of the stocks. To analyze the market mobility, Pearson correlation coefficient, partial correlation, and index effect on stock to stock correlation techniques have been applied. The study found that the companies of developed and emerging market are more strongly correlated than those of developing market during big crash. On the other hand, developing market shows less index effect on stock correlations during crisis. Moreover, insignificant index effect has been found in emerging market during calm state. No significant effect of DSE index on stock to stock correlations in the period of global financial crisis has been observed, implying that global financial crisis did not hit to the DSE in this period. Before the market crash, the interactions between stocks became low enough which corresponds to lower value of average correlation for all types of market. Finally, the change of correlation and partial correlation can be a good indicator to identify and predict the financial states of all the markets which will further helps the stakeholders to make proper economic decisions.

Published in International Journal of Business and Economics Research (Volume 10, Issue 4)
DOI 10.11648/j.ijber.20211004.16
Page(s) 155-161
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

Stock-Stock Correlation, Partial Correlation, Stock-Index Correlation, Market Crash, Global Financial Crisis

References
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Cite This Article
  • APA Style

    Shafiqul Alam, Nahid Akter, Mohammad Rubel Miah, Mohammed Javed Hossain, Ashadun Nobi. (2021). Dynamic of the States of Three Different Stock Markets from Correlation and Partial Correlation Changes. International Journal of Business and Economics Research, 10(4), 155-161. https://doi.org/10.11648/j.ijber.20211004.16

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    ACS Style

    Shafiqul Alam; Nahid Akter; Mohammad Rubel Miah; Mohammed Javed Hossain; Ashadun Nobi. Dynamic of the States of Three Different Stock Markets from Correlation and Partial Correlation Changes. Int. J. Bus. Econ. Res. 2021, 10(4), 155-161. doi: 10.11648/j.ijber.20211004.16

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    AMA Style

    Shafiqul Alam, Nahid Akter, Mohammad Rubel Miah, Mohammed Javed Hossain, Ashadun Nobi. Dynamic of the States of Three Different Stock Markets from Correlation and Partial Correlation Changes. Int J Bus Econ Res. 2021;10(4):155-161. doi: 10.11648/j.ijber.20211004.16

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  • @article{10.11648/j.ijber.20211004.16,
      author = {Shafiqul Alam and Nahid Akter and Mohammad Rubel Miah and Mohammed Javed Hossain and Ashadun Nobi},
      title = {Dynamic of the States of Three Different Stock Markets from Correlation and Partial Correlation Changes},
      journal = {International Journal of Business and Economics Research},
      volume = {10},
      number = {4},
      pages = {155-161},
      doi = {10.11648/j.ijber.20211004.16},
      url = {https://doi.org/10.11648/j.ijber.20211004.16},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijber.20211004.16},
      abstract = {The core focus of the study is to examine financial states using index effect on stock to stock correlations of developed, developing and emerging market. The three markets such as S&P 500, KOSPI 200 and DSE are declared as developed, developing and emerging market respectively. To study the similarity between stock price changes, we calculate the time series of the daily log return. Closing stock prices of the targeted markets have been used to measure the daily return of the stocks. To analyze the market mobility, Pearson correlation coefficient, partial correlation, and index effect on stock to stock correlation techniques have been applied. The study found that the companies of developed and emerging market are more strongly correlated than those of developing market during big crash. On the other hand, developing market shows less index effect on stock correlations during crisis. Moreover, insignificant index effect has been found in emerging market during calm state. No significant effect of DSE index on stock to stock correlations in the period of global financial crisis has been observed, implying that global financial crisis did not hit to the DSE in this period. Before the market crash, the interactions between stocks became low enough which corresponds to lower value of average correlation for all types of market. Finally, the change of correlation and partial correlation can be a good indicator to identify and predict the financial states of all the markets which will further helps the stakeholders to make proper economic decisions.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Dynamic of the States of Three Different Stock Markets from Correlation and Partial Correlation Changes
    AU  - Shafiqul Alam
    AU  - Nahid Akter
    AU  - Mohammad Rubel Miah
    AU  - Mohammed Javed Hossain
    AU  - Ashadun Nobi
    Y1  - 2021/08/18
    PY  - 2021
    N1  - https://doi.org/10.11648/j.ijber.20211004.16
    DO  - 10.11648/j.ijber.20211004.16
    T2  - International Journal of Business and Economics Research
    JF  - International Journal of Business and Economics Research
    JO  - International Journal of Business and Economics Research
    SP  - 155
    EP  - 161
    PB  - Science Publishing Group
    SN  - 2328-756X
    UR  - https://doi.org/10.11648/j.ijber.20211004.16
    AB  - The core focus of the study is to examine financial states using index effect on stock to stock correlations of developed, developing and emerging market. The three markets such as S&P 500, KOSPI 200 and DSE are declared as developed, developing and emerging market respectively. To study the similarity between stock price changes, we calculate the time series of the daily log return. Closing stock prices of the targeted markets have been used to measure the daily return of the stocks. To analyze the market mobility, Pearson correlation coefficient, partial correlation, and index effect on stock to stock correlation techniques have been applied. The study found that the companies of developed and emerging market are more strongly correlated than those of developing market during big crash. On the other hand, developing market shows less index effect on stock correlations during crisis. Moreover, insignificant index effect has been found in emerging market during calm state. No significant effect of DSE index on stock to stock correlations in the period of global financial crisis has been observed, implying that global financial crisis did not hit to the DSE in this period. Before the market crash, the interactions between stocks became low enough which corresponds to lower value of average correlation for all types of market. Finally, the change of correlation and partial correlation can be a good indicator to identify and predict the financial states of all the markets which will further helps the stakeholders to make proper economic decisions.
    VL  - 10
    IS  - 4
    ER  - 

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Author Information
  • Department of Business Administration, Noakhali Science and Technology University, Noakhali, Bangladesh

  • Department of Computer Science and Telecommunication Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh

  • Department of Business Administration, Noakhali Science and Technology University, Noakhali, Bangladesh

  • Department of Computer Science and Telecommunication Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh

  • Department of Computer Science and Telecommunication Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh

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