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:

826
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 INVESTIGATION ON IMPROVEMENT OF EXPLANATORY POWER OF ARCH AND STATE SPACE MODELS USING THE HAAR WAVELET TRANSFORM APPROACH AND THE MONTE CARLO SIMULATION METHOD (CASE STUDY: FORECASTING THE TEPIX INDEX)

Pages

  143-159

Abstract

 Regarding The Importance Of Forecasting And Its Precision And Accuracy Significance In Various Economic Conditions, This ReseARCH Is An Attempt For Denoising Of Stock, By Implementing Of Wavelet Transform (A Branch Of Physic And Specially Signal Analysis) Considering TEPIX Index. Results Indicate That Existence Of NOISEs Lead To Reduction In Predictive Power Of The Models And Denoising Cause To Improvement In Compatibility Of Dataset With The Models And Finally Improve Predictive Power Of The Models. In This Respect, The ARCH And STATE SPACE Models And In-Sample Of 739 Daily Observations, Using The TEPIX Index Data Between Years 1389 – 1392, Are Implemented. The Results Clearly Indicate The Impactful Role Of Haar Wavelet Transform For Denoising TEPIX Dataset. This Method, Strongly, Lead To Increase In The Predictive Power Of The Models And Accuracy Of Estimated Coefficients.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    GHAFFARI, FARHAD, & FARHADI, AGHIGH. (2016). AN INVESTIGATION ON IMPROVEMENT OF EXPLANATORY POWER OF ARCH AND STATE SPACE MODELS USING THE HAAR WAVELET TRANSFORM APPROACH AND THE MONTE CARLO SIMULATION METHOD (CASE STUDY: FORECASTING THE TEPIX INDEX). FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT), 7(26), 143-159. SID. https://sid.ir/paper/197731/en

    Vancouver: Copy

    GHAFFARI FARHAD, FARHADI AGHIGH. AN INVESTIGATION ON IMPROVEMENT OF EXPLANATORY POWER OF ARCH AND STATE SPACE MODELS USING THE HAAR WAVELET TRANSFORM APPROACH AND THE MONTE CARLO SIMULATION METHOD (CASE STUDY: FORECASTING THE TEPIX INDEX). FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT)[Internet]. 2016;7(26):143-159. Available from: https://sid.ir/paper/197731/en

    IEEE: Copy

    FARHAD GHAFFARI, and AGHIGH FARHADI, “AN INVESTIGATION ON IMPROVEMENT OF EXPLANATORY POWER OF ARCH AND STATE SPACE MODELS USING THE HAAR WAVELET TRANSFORM APPROACH AND THE MONTE CARLO SIMULATION METHOD (CASE STUDY: FORECASTING THE TEPIX INDEX),” FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT), vol. 7, no. 26, pp. 143–159, 2016, [Online]. Available: https://sid.ir/paper/197731/en

    Related Journal Papers

    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