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Stock Return Autocorrelation and Volatility in Emerging Nations

Authors :
Singh, Tarika
Mehta, Seema
Saban, Abhijeet
Garg, Sparshi
Pamnani, Divya
Singh, Tarika
Mehta, Seema
Saban, Abhijeet
Garg, Sparshi
Pamnani, Divya
Source :
IRA-International Journal of Management & Social Sciences (ISSN 2455-2267); Vol 3, No 3 (2016): June; 2455-2267
Publication Year :
2016

Abstract

This research has been conducted to estimate the Value at Risk of nations and volatility of returns of indices by using GARCH based models in the emerging equity markets of the world. For the study six emerging markets were taken into consideration viz. china, India, turkey, Mexico, Indonesia, Russia, and Brazil. The data these emerging stock indices of the world have been taken for the research purpose. Different GARCH (auto regressive) based models were applied to estimate the volatility in markets , further different Garch based models were compared for best fit and VaR was calculated to estimate the risk. The results of Garch (1,1) model shows that there is no serial correlation in Brazil and Mexico and for India, China, Russia and Turkey there exist positive serial correlation. E-garch which is superior model than garch reported that there is no serial correlation in Brazil, china, Mexico and Russia but for India and Turkey there exist positive serial correlation. Further a stronger garch model that is Pgarch was applied which showed that there is positive serial correlation in all the Emerging equity markets viz. India, China, Russia and Turkey. The generalized results can be of positive correlation between India, China, Russia and Turkey markets.

Details

Database :
OAIster
Journal :
IRA-International Journal of Management & Social Sciences (ISSN 2455-2267); Vol 3, No 3 (2016): June; 2455-2267
Notes :
Emerging Economies, application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1454563894
Document Type :
Electronic Resource