Volatility forecasting with the wavelet transformation algorithm GARCH model: Evidence from African stock markets

The daily returns of four African countries' stock market indices for the period January 2, 2000, to December 31, 2014, were employed to compare the GARCH(1,1) model and a newly proposed Maximal Overlap Discreet Wavelet Transform (MODWT)- GARCH(1,1) model. The results showed that although bot...

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Main Authors: Ismail, Mohd Tahir, Audu, Buba, Tumala, Mohammed Musa
Format: Article
Language:English
Published: Elsevier 2016
Subjects:
Online Access:http://eprints.usm.my/37283/
http://eprints.usm.my/37283/1/%28Volatility_forecasting_with_the_wavelet%29_1-s2.0-S240591881630006X-main.pdf
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author Ismail, Mohd Tahir
Audu, Buba
Tumala, Mohammed Musa
author_facet Ismail, Mohd Tahir
Audu, Buba
Tumala, Mohammed Musa
author_sort Ismail, Mohd Tahir
building USM Institutional Repository
collection Online Access
description The daily returns of four African countries' stock market indices for the period January 2, 2000, to December 31, 2014, were employed to compare the GARCH(1,1) model and a newly proposed Maximal Overlap Discreet Wavelet Transform (MODWT)- GARCH(1,1) model. The results showed that although both models fit the returns data well, the forecast produced by the GARCH(1,1) model underestimates the observed returns whereas the newly proposed MODWT-GARCH(1,1) model generates an accurate forecast value of the observed returns. The results generally showed that the newly proposed MODWT-GARCH(1,1) model best fits returns series for these African countries. Hence the proposed MODWT-GARCH should be applied on other context to further verify its validity.
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institution Universiti Sains Malaysia
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language English
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publishDate 2016
publisher Elsevier
recordtype eprints
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spelling usm-372832017-10-31T03:39:33Z http://eprints.usm.my/37283/ Volatility forecasting with the wavelet transformation algorithm GARCH model: Evidence from African stock markets Ismail, Mohd Tahir Audu, Buba Tumala, Mohammed Musa QA1-939 Mathematics The daily returns of four African countries' stock market indices for the period January 2, 2000, to December 31, 2014, were employed to compare the GARCH(1,1) model and a newly proposed Maximal Overlap Discreet Wavelet Transform (MODWT)- GARCH(1,1) model. The results showed that although both models fit the returns data well, the forecast produced by the GARCH(1,1) model underestimates the observed returns whereas the newly proposed MODWT-GARCH(1,1) model generates an accurate forecast value of the observed returns. The results generally showed that the newly proposed MODWT-GARCH(1,1) model best fits returns series for these African countries. Hence the proposed MODWT-GARCH should be applied on other context to further verify its validity. Elsevier 2016-06 Article PeerReviewed application/pdf en http://eprints.usm.my/37283/1/%28Volatility_forecasting_with_the_wavelet%29_1-s2.0-S240591881630006X-main.pdf Ismail, Mohd Tahir and Audu, Buba and Tumala, Mohammed Musa (2016) Volatility forecasting with the wavelet transformation algorithm GARCH model: Evidence from African stock markets. Journal of Finance and Data Science, 2 (2). pp. 125-135. ISSN 2405-9188 https://doi.org/10.1016/j.jfds.2016.09.002
spellingShingle QA1-939 Mathematics
Ismail, Mohd Tahir
Audu, Buba
Tumala, Mohammed Musa
Volatility forecasting with the wavelet transformation algorithm GARCH model: Evidence from African stock markets
title Volatility forecasting with the wavelet transformation algorithm GARCH model: Evidence from African stock markets
title_full Volatility forecasting with the wavelet transformation algorithm GARCH model: Evidence from African stock markets
title_fullStr Volatility forecasting with the wavelet transformation algorithm GARCH model: Evidence from African stock markets
title_full_unstemmed Volatility forecasting with the wavelet transformation algorithm GARCH model: Evidence from African stock markets
title_short Volatility forecasting with the wavelet transformation algorithm GARCH model: Evidence from African stock markets
title_sort volatility forecasting with the wavelet transformation algorithm garch model: evidence from african stock markets
topic QA1-939 Mathematics
url http://eprints.usm.my/37283/
http://eprints.usm.my/37283/
http://eprints.usm.my/37283/1/%28Volatility_forecasting_with_the_wavelet%29_1-s2.0-S240591881630006X-main.pdf