Selected GARCH‑type Models in the Metals Market – Backtesting of Value‑at‑Risk

Risk analysis in the financial market requires the correct evaluation of volatility in terms of both prices and asset returns. Disturbances in quality of information, the economic and political situation and investment speculations cause incredible difficulties in accurate forecasting. From the inve...

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Main Author: Dominik Krężołek
Format: Article
Language:English
Published: Lodz University Press 2017-11-01
Series:Acta Universitatis Lodziensis. Folia Oeconomica
Subjects:
Online Access:https://czasopisma.uni.lodz.pl/foe/article/view/987
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author Dominik Krężołek
author_facet Dominik Krężołek
author_sort Dominik Krężołek
collection DOAJ
description Risk analysis in the financial market requires the correct evaluation of volatility in terms of both prices and asset returns. Disturbances in quality of information, the economic and political situation and investment speculations cause incredible difficulties in accurate forecasting. From the investor’s point of view, the key issue is to minimise the risk of huge losses. This article presents the results of using some selected GARCH‑type models, ARMA‑GARCH and ARMA‑APARCH, in evaluating volatility of asset returns in the metals market. To assess the level of risk, the Value‑at‑Risk measure is used. The comparison between real and estimated losses (in terms of VaR) is made using the backtesting procedure.
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spelling doaj.art-56d381fdcc6a49f7baa3de0392a274182022-12-21T18:23:15ZengLodz University PressActa Universitatis Lodziensis. Folia Oeconomica0208-60182353-76632017-11-01533118520310.18778/0208-6018.331.121850Selected GARCH‑type Models in the Metals Market – Backtesting of Value‑at‑RiskDominik Krężołek0University of Economics in Katowice, Faculty of Informatics and Communication, Department of Demography and Economic StatisticsRisk analysis in the financial market requires the correct evaluation of volatility in terms of both prices and asset returns. Disturbances in quality of information, the economic and political situation and investment speculations cause incredible difficulties in accurate forecasting. From the investor’s point of view, the key issue is to minimise the risk of huge losses. This article presents the results of using some selected GARCH‑type models, ARMA‑GARCH and ARMA‑APARCH, in evaluating volatility of asset returns in the metals market. To assess the level of risk, the Value‑at‑Risk measure is used. The comparison between real and estimated losses (in terms of VaR) is made using the backtesting procedure.https://czasopisma.uni.lodz.pl/foe/article/view/987volatilityGARCH‑type modelsriskValue‑at‑Riskmetals market
spellingShingle Dominik Krężołek
Selected GARCH‑type Models in the Metals Market – Backtesting of Value‑at‑Risk
Acta Universitatis Lodziensis. Folia Oeconomica
volatility
GARCH‑type models
risk
Value‑at‑Risk
metals market
title Selected GARCH‑type Models in the Metals Market – Backtesting of Value‑at‑Risk
title_full Selected GARCH‑type Models in the Metals Market – Backtesting of Value‑at‑Risk
title_fullStr Selected GARCH‑type Models in the Metals Market – Backtesting of Value‑at‑Risk
title_full_unstemmed Selected GARCH‑type Models in the Metals Market – Backtesting of Value‑at‑Risk
title_short Selected GARCH‑type Models in the Metals Market – Backtesting of Value‑at‑Risk
title_sort selected garch type models in the metals market backtesting of value at risk
topic volatility
GARCH‑type models
risk
Value‑at‑Risk
metals market
url https://czasopisma.uni.lodz.pl/foe/article/view/987
work_keys_str_mv AT dominikkrezołek selectedgarchtypemodelsinthemetalsmarketbacktestingofvalueatrisk