Assessing the Impact of the Realized Range on the (E)GARCH Volatility: Evidence from Brazil
This paper investigates whether the inclusion of the realized range as regressor in the (E)GARCH volatility equation would add information to the process improving out - of - sample forecasts performance and providing more accurate estimates of the volatility persistence. Sixte...
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FUCAPE Business School
2016
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oai:doaj.org-article:19a9c533c7304103827b89d6309a0f9b2021-11-11T15:48:06ZAssessing the Impact of the Realized Range on the (E)GARCH Volatility: Evidence from Brazil1807-734Xhttps://doaj.org/article/19a9c533c7304103827b89d6309a0f9b2016-01-01T00:00:00Zhttp://www.redalyc.org/articulo.oa?id=123044248001https://doaj.org/toc/1807-734XThis paper investigates whether the inclusion of the realized range as regressor in the (E)GARCH volatility equation would add information to the process improving out - of - sample forecasts performance and providing more accurate estimates of the volatility persistence. Sixteen range measures at eleven data frequencies are tested using Brazilian stock market data. Several measures for assessing the improvements in the fits were used including the likelihood ratio test, the persistence percentage de crease, and a formal statistical test for comparing forecasts errors from competing models. We found that for both the GARCH and EGARCH models there are always some realized range type at some frequencies bringing information to the volatility process with considerable persistence reduction.Victor Bello AcciolyBeatriz Vaz de Melo MendesFUCAPE Business Schoolarticlegarch and egarch modelsrealized volatilityrealized rangevolatility forecastBusinessHF5001-6182ENPTBBR: Brazilian Business Review, Vol 13, Iss 2, Pp 1-26 (2016) |
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garch and egarch models realized volatility realized range volatility forecast Business HF5001-6182 |
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garch and egarch models realized volatility realized range volatility forecast Business HF5001-6182 Victor Bello Accioly Beatriz Vaz de Melo Mendes Assessing the Impact of the Realized Range on the (E)GARCH Volatility: Evidence from Brazil |
description |
This paper investigates whether the inclusion of the realized range as regressor in the (E)GARCH volatility equation would add information to the process improving out - of - sample forecasts performance and providing more accurate estimates of the volatility persistence. Sixteen range measures at eleven data frequencies are tested using Brazilian stock market data. Several measures for assessing the improvements in the fits were used including the likelihood ratio test, the persistence percentage de crease, and a formal statistical test for comparing forecasts errors from competing models. We found that for both the GARCH and EGARCH models there are always some realized range type at some frequencies bringing information to the volatility process with considerable persistence reduction. |
format |
article |
author |
Victor Bello Accioly Beatriz Vaz de Melo Mendes |
author_facet |
Victor Bello Accioly Beatriz Vaz de Melo Mendes |
author_sort |
Victor Bello Accioly |
title |
Assessing the Impact of the Realized Range on the (E)GARCH Volatility: Evidence from Brazil |
title_short |
Assessing the Impact of the Realized Range on the (E)GARCH Volatility: Evidence from Brazil |
title_full |
Assessing the Impact of the Realized Range on the (E)GARCH Volatility: Evidence from Brazil |
title_fullStr |
Assessing the Impact of the Realized Range on the (E)GARCH Volatility: Evidence from Brazil |
title_full_unstemmed |
Assessing the Impact of the Realized Range on the (E)GARCH Volatility: Evidence from Brazil |
title_sort |
assessing the impact of the realized range on the (e)garch volatility: evidence from brazil |
publisher |
FUCAPE Business School |
publishDate |
2016 |
url |
https://doaj.org/article/19a9c533c7304103827b89d6309a0f9b |
work_keys_str_mv |
AT victorbelloaccioly assessingtheimpactoftherealizedrangeontheegarchvolatilityevidencefrombrazil AT beatrizvazdemelomendes assessingtheimpactoftherealizedrangeontheegarchvolatilityevidencefrombrazil |
_version_ |
1718433877227208704 |