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:

1,680
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

ARIMA-GARCH AND STATE SPACE MODELS’ FORECASTING POWER CASE STUDY: TEHRAN EXCHANGE STOCK INDEX (TEPIX)

Author(s)

GHAFARI FARHAD | FARHADI CHESHMEH MARVARI AGHIGH | Issue Writer Certificate 

Pages

  33-42

Abstract

 The main objective of this paper is to compare the accuracy of ARIMA, GARCH, ARIMA-GARCH and STATE SPACE models in estimating and forecasting the Tehran Exchange Stock Index (TEPIX). For this purpose, daily data from 21st of January 2011 to 19th February 2014 (corresponding to Iranian calendar: from first of Bahman 1389 to 30th of Bahman 1392) as out -of- sample and daily data from 20th of February 2014 to 19th May 2015 (corresponding to Iranian calendar: from first of Esfand 1392 to 30th of Ordibehesht 1393) as in- sample have been used. On the other hand, for more consideration and for boosting the accuracy of the mentioned models’ forecasting the TEPIX in the long run, simulation has been done using the MONTE CARLO Method for two periods of time. These include the medium run and the short run, using out- of- sample and using in- sample for a general comparison. Next, the accuracy of the forecasts have been evaluated by calculating the Root Mean Square Errors (RMSE). According to the out- of- sample, the results indicate that the GARCH model has more accuracy of forecasting rather than the other models in the three periods of time (long run, medium run and short run), and compared with in-sample, the ARIMA model is a more sufficient model.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    GHAFARI, FARHAD, & FARHADI CHESHMEH MARVARI, AGHIGH. (2015). ARIMA-GARCH AND STATE SPACE MODELS’ FORECASTING POWER CASE STUDY: TEHRAN EXCHANGE STOCK INDEX (TEPIX). IRANIAN JOURNAL OF APPLIED ECONOMICS, 5(-), 33-42. SID. https://sid.ir/paper/202056/en

    Vancouver: Copy

    GHAFARI FARHAD, FARHADI CHESHMEH MARVARI AGHIGH. ARIMA-GARCH AND STATE SPACE MODELS’ FORECASTING POWER CASE STUDY: TEHRAN EXCHANGE STOCK INDEX (TEPIX). IRANIAN JOURNAL OF APPLIED ECONOMICS[Internet]. 2015;5(-):33-42. Available from: https://sid.ir/paper/202056/en

    IEEE: Copy

    FARHAD GHAFARI, and AGHIGH FARHADI CHESHMEH MARVARI, “ARIMA-GARCH AND STATE SPACE MODELS’ FORECASTING POWER CASE STUDY: TEHRAN EXCHANGE STOCK INDEX (TEPIX),” IRANIAN JOURNAL OF APPLIED ECONOMICS, vol. 5, no. -, pp. 33–42, 2015, [Online]. Available: https://sid.ir/paper/202056/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