Medidas alternativas de volatilidad en el mercado de valores peruano

This document seeks to compare the main volatility calculation methodologies for the Peruvian stock market. Three volatility calculation methods are presented, the EWMA model, the GARCH model and the Stochastic Volatility (SV) model. The comparison of these methodologies was carried out through the...

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Main Author: Rafael Nivin Valdiviezo
Format: Article
Language:English
Published: Universidad de San Martín de Porres 2019-07-01
Series:Revista de Análisis Económico y Financiero
Subjects:
Online Access:http://contabilidadyeconomiausmp.edu.pe/OJS2020/index.php/RAEF/article/view/17
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author Rafael Nivin Valdiviezo
author_facet Rafael Nivin Valdiviezo
author_sort Rafael Nivin Valdiviezo
collection DOAJ
description This document seeks to compare the main volatility calculation methodologies for the Peruvian stock market. Three volatility calculation methods are presented, the EWMA model, the GARCH model and the Stochastic Volatility (SV) model. The comparison of these methodologies was carried out through the calculation of the Value at Risk and a backtesting exercise. The results show that although the three estimation methodologies generate similar volatility measures, the GARCH and SV models are superior to the EWMA model in terms of calculating Value at Risk. Likewise, the backtesting exercise carried out does not show significant differences between the GARCH and stochastic volatility models.
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spelling doaj.art-92e46d6d1e564d5e8dbe30b9a264898c2022-12-22T02:20:59ZengUniversidad de San Martín de PorresRevista de Análisis Económico y Financiero2617-99892663-89082019-07-0122714https://doi.org/10.24265/raef.2019.v2n2.17Medidas alternativas de volatilidad en el mercado de valores peruanoRafael Nivin Valdiviezo0Universidad de San Martín de PorresThis document seeks to compare the main volatility calculation methodologies for the Peruvian stock market. Three volatility calculation methods are presented, the EWMA model, the GARCH model and the Stochastic Volatility (SV) model. The comparison of these methodologies was carried out through the calculation of the Value at Risk and a backtesting exercise. The results show that although the three estimation methodologies generate similar volatility measures, the GARCH and SV models are superior to the EWMA model in terms of calculating Value at Risk. Likewise, the backtesting exercise carried out does not show significant differences between the GARCH and stochastic volatility models. http://contabilidadyeconomiausmp.edu.pe/OJS2020/index.php/RAEF/article/view/17stochastic volatilityvalue at risktrading strategy
spellingShingle Rafael Nivin Valdiviezo
Medidas alternativas de volatilidad en el mercado de valores peruano
Revista de Análisis Económico y Financiero
stochastic volatility
value at risk
trading strategy
title Medidas alternativas de volatilidad en el mercado de valores peruano
title_full Medidas alternativas de volatilidad en el mercado de valores peruano
title_fullStr Medidas alternativas de volatilidad en el mercado de valores peruano
title_full_unstemmed Medidas alternativas de volatilidad en el mercado de valores peruano
title_short Medidas alternativas de volatilidad en el mercado de valores peruano
title_sort medidas alternativas de volatilidad en el mercado de valores peruano
topic stochastic volatility
value at risk
trading strategy
url http://contabilidadyeconomiausmp.edu.pe/OJS2020/index.php/RAEF/article/view/17
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