Modeling the Exchange Rate Volatility Using the BRICS GARCH-type Models

Lebotsa Daniel Metsileng, Ntebogang Dinah Moroke, Johannes Tshepiso Tsoku

Abstract


The paper models the performance of GARCH-type models on BRICS exchange rates volatility. The levels of interdependence and dynamic connection among the BRICS financial markets using appropriate univariate time series models were evaluated for the period January 2008 to January 2018. The results revealed the presence of ARCH effects in the BRICS exchange rates. The univariate GARCH models for the BRICS exchange rates were fitted to the data using Student t-distribution. The GARCH (1,1) model found the unconditional volatility for each of the BRICS exchange rates series while EGARCH (1,1) and TGARCH (1,1) models presented the leverage effect. Moreover, the EGARCH (1,1) model illustrated that the asymmetric effects dominate the symmetric effects except for South Africa. The TGARCH (1,1) model on the other hand revealed contrary findings. The paper recommends a study be considered to draw comparison on the different types of GARCH models on the time varying integrated data other than the ones used in the paper.


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DOI: https://doi.org/10.5430/ijfr.v12n5p166

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

This journal is licensed under a Creative Commons Attribution 4.0 License.


International Journal of Financial Research
ISSN 1923-4023(Print)ISSN 1923-4031(Online)

 

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