Home           Contact us           FAQs           
     Journal Home     |     Aim & Scope    |    Author(s) Information      |     Editorial Board     |     MSP Download Statistics
2013 (Vol. 5, Issue: 2)
Article Information:

Long Memory Properties in Return and Volatility: An Application of the Impact of Arab Spring in Turkey Financial Market

Pinar Cevik and Hamdi Emec
Corresponding Author:  Pinar Cevik 

Key words:  ARFIMA, FIGARCH, GPH model, GSP method, long memory, R/S statistics,
Vol. 5 , (2): 60-66
Submitted Accepted Published
January 05, 2013 February 08, 2013 March 25, 2013

The Arab Spring which began on 17 December 2010 with the civil rebellions, revolutionary wave of demonstrations and protests in the Tunisia, Egypt, Libya, Yemen, Bahrain and Syria. The Arab Spring not only created a domino effect between Arabic countries but also it reflected a significant influence on the financial markets all over the world. The objective of this study is to analyze the impact of the Arab Spring in Turkey Financial Market in consideration of long memory. Long memory can be defined as the persistence of the unexpected shocks on the underlying has long lasting effects. Modeling long memory in stock returns and volatility has also attracted great deal of attention from finance literature recently. Existence of long memory is determined both for the returns and volatility of the time series by using different methods. Existence of long memory can be tested by Rescaled Range Statistics (R/S), Geweke and Porter-Hudak (GPH) Model and Gaussian Semi Parametric (GSP) Method. In consequence of these tests, if the stock returns have long memory affect then respectively Fractionally Integrated Autoregressive Moving Average Model (ARFIMA) and the Fractionally Integrated Generalized Autoregressive Conditional Heteroscedasticity (FIGARCH) model are used to detect the long memory in respectively return and volatility. In this study, the impact of the Arab Spring is investigated by modeled the long memory in Istanbul Stock Exchange using ISE 30 index prices in between December 17, 2010 and April 02, 2012.
Abstract PDF HTML
  Cite this Reference:
Pinar Cevik and Hamdi Emec, 2013. Long Memory Properties in Return and Volatility: An Application of the Impact of Arab Spring in Turkey Financial Market.  Current Research Journal of Social Sciences, 5(2): 60-66.
    Advertise with us
ISSN (Online):  2041-3246
ISSN (Print):   2041-3238
Submit Manuscript
   Current Information
   Sales & Services
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2015. MAXWELL Scientific Publication Corp., All rights reserved