مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

186
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

An Analysis of Centrality’ s Features as a New Measure for Network Analysis, Risk Measurement & Portfolio Selection

Pages

  158-171

Abstract

 Objective In network theory, Centrality is a measure to estimate importance and influence of a special node to the whole network structure. The aim of this research is to investigate the characteristics of stock Centrality and its reliability in risk estimation and Portfolio Selection. Methods First in this paper, we analyzed the relationship between stock’ s Centrality & benchmark risk estimation measures like beta & standard deviation. Then, we analyzed the relationship between stock’ s Centrality & Markowitz framework’ s weights; and finally, we introduced Centrality-based Portfolio Selection strategy and compared it with other benchmarks, by different portfolio performance measures. Results Our observations indicate that in Tehran stock exchange, Centrality can have an effective role in stocks risk estimation and there is a meaningful relation between Centrality and other measures. We also observed that out that low central stocks can raise the benefits of portfolio diversification, and Centrality-based Portfolio Selection method can have a better performance than other benchmark Portfolio Selection methods and results in a better risk adjusted return. Conclusion Stock Centrality, as a measure to estimate importance and influence of member of a network, is capable of describing stock risk characteristics like other accepted measures. We can take advantage of this capability for Portfolio Selection.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    FALLAHPOUR, SAEED, & GHAHRAMANI, ALI. (2021). An Analysis of Centrality’ s Features as a New Measure for Network Analysis, Risk Measurement & Portfolio Selection. FINANCIAL RESEARCH, 23(2 ), 158-171. SID. https://sid.ir/paper/954184/en

    Vancouver: Copy

    FALLAHPOUR SAEED, GHAHRAMANI ALI. An Analysis of Centrality’ s Features as a New Measure for Network Analysis, Risk Measurement & Portfolio Selection. FINANCIAL RESEARCH[Internet]. 2021;23(2 ):158-171. Available from: https://sid.ir/paper/954184/en

    IEEE: Copy

    SAEED FALLAHPOUR, and ALI GHAHRAMANI, “An Analysis of Centrality’ s Features as a New Measure for Network Analysis, Risk Measurement & Portfolio Selection,” FINANCIAL RESEARCH, vol. 23, no. 2 , pp. 158–171, 2021, [Online]. Available: https://sid.ir/paper/954184/en

    Related Journal Papers

  • No record.
  • Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button