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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Main Authors: Victor Bello Accioly, Beatriz Vaz de Melo Mendes
Format: Article
Language:English
Published: FUCAPE Business School 2016-01-01
Series:BBR: Brazilian Business Review
Subjects:
Online Access:http://www.redalyc.org/articulo.oa?id=123044248001
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author Victor Bello Accioly
Beatriz Vaz de Melo Mendes
author_facet Victor Bello Accioly
Beatriz Vaz de Melo Mendes
author_sort Victor Bello Accioly
collection DOAJ
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.
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spelling doaj.art-19a9c533c7304103827b89d6309a0f9b2024-03-21T19:30:18ZengFUCAPE Business SchoolBBR: Brazilian Business Review1807-734X2016-01-01132126Assessing the Impact of the Realized Range on the (E)GARCH Volatility: Evidence from BrazilVictor Bello AcciolyBeatriz Vaz de Melo MendesThis 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.http://www.redalyc.org/articulo.oa?id=123044248001garch and egarch modelsrealized volatilityrealized rangevolatility forecast
spellingShingle Victor Bello Accioly
Beatriz Vaz de Melo Mendes
Assessing the Impact of the Realized Range on the (E)GARCH Volatility: Evidence from Brazil
BBR: Brazilian Business Review
garch and egarch models
realized volatility
realized range
volatility forecast
title 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_short 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
topic garch and egarch models
realized volatility
realized range
volatility forecast
url http://www.redalyc.org/articulo.oa?id=123044248001
work_keys_str_mv AT victorbelloaccioly assessingtheimpactoftherealizedrangeontheegarchvolatilityevidencefrombrazil
AT beatrizvazdemelomendes assessingtheimpactoftherealizedrangeontheegarchvolatilityevidencefrombrazil