Evaluation of the Value-at-Risk Estimation Methods with applying a Penalty for Risk Overestimation

In this paper, Value at Risk for Gold prices Is estimated by the Extreme Value theory and parametric method with Normal and t-student distribution for disturbance term in the mean equation together with a range of the conditional variances estimation techniques including, GARCH (1.1), TGARCH, EGARCH...

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Main Authors: Ghlamreza Keshavarz-Haddad, Mohammad Amin Zabol
Format: Article
Language:fas
Published: Allameh Tabataba'i University Press 2020-06-01
Series:Faslnāmah-i Pizhūhish/Nāmah-i Iqtisādī
Subjects:
Online Access:https://joer.atu.ac.ir/article_12076_386c25b97560bfc97c9de66c2ea5a8fa.pdf
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author Ghlamreza Keshavarz-Haddad
Mohammad Amin Zabol
author_facet Ghlamreza Keshavarz-Haddad
Mohammad Amin Zabol
author_sort Ghlamreza Keshavarz-Haddad
collection DOAJ
description In this paper, Value at Risk for Gold prices Is estimated by the Extreme Value theory and parametric method with Normal and t-student distribution for disturbance term in the mean equation together with a range of the conditional variances estimation techniques including, GARCH (1.1), TGARCH, EGARCH, PGARCH, FIGARCH and FIEGARCH Models. The two-stage Back-Testing method is used to evaluate the adequacy and accuracy of the calculation methods. Furthermore, we rank the accuracy of the estimation methods by a loss function. Our findings show that the most accurate method, In terms of the value of the loss function and among the applied econometrics methods, is VaR by t-student distribution for gold return and PGARCH for the long position and acceptable performance for the short position.
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spelling doaj.art-05e629d4fd034e87be99dac984f458c52023-12-26T08:03:19ZfasAllameh Tabataba'i University PressFaslnāmah-i Pizhūhish/Nāmah-i Iqtisādī1735-210X2476-64532020-06-01207712810.22054/joer.2020.1207612076Evaluation of the Value-at-Risk Estimation Methods with applying a Penalty for Risk OverestimationGhlamreza Keshavarz-Haddad0Mohammad Amin Zabol1Associate Professor, Department of Economics, Faculty of Management and Economics, Sharif University of Technology,Tehran, IranPh.D. Student in Economics, Semnan University,Semnan, Iran,In this paper, Value at Risk for Gold prices Is estimated by the Extreme Value theory and parametric method with Normal and t-student distribution for disturbance term in the mean equation together with a range of the conditional variances estimation techniques including, GARCH (1.1), TGARCH, EGARCH, PGARCH, FIGARCH and FIEGARCH Models. The two-stage Back-Testing method is used to evaluate the adequacy and accuracy of the calculation methods. Furthermore, we rank the accuracy of the estimation methods by a loss function. Our findings show that the most accurate method, In terms of the value of the loss function and among the applied econometrics methods, is VaR by t-student distribution for gold return and PGARCH for the long position and acceptable performance for the short position.https://joer.atu.ac.ir/article_12076_386c25b97560bfc97c9de66c2ea5a8fa.pdfvalue at riskextreme value theorysener loss functionback-testgold
spellingShingle Ghlamreza Keshavarz-Haddad
Mohammad Amin Zabol
Evaluation of the Value-at-Risk Estimation Methods with applying a Penalty for Risk Overestimation
Faslnāmah-i Pizhūhish/Nāmah-i Iqtisādī
value at risk
extreme value theory
sener loss function
back-test
gold
title Evaluation of the Value-at-Risk Estimation Methods with applying a Penalty for Risk Overestimation
title_full Evaluation of the Value-at-Risk Estimation Methods with applying a Penalty for Risk Overestimation
title_fullStr Evaluation of the Value-at-Risk Estimation Methods with applying a Penalty for Risk Overestimation
title_full_unstemmed Evaluation of the Value-at-Risk Estimation Methods with applying a Penalty for Risk Overestimation
title_short Evaluation of the Value-at-Risk Estimation Methods with applying a Penalty for Risk Overestimation
title_sort evaluation of the value at risk estimation methods with applying a penalty for risk overestimation
topic value at risk
extreme value theory
sener loss function
back-test
gold
url https://joer.atu.ac.ir/article_12076_386c25b97560bfc97c9de66c2ea5a8fa.pdf
work_keys_str_mv AT ghlamrezakeshavarzhaddad evaluationofthevalueatriskestimationmethodswithapplyingapenaltyforriskoverestimation
AT mohammadaminzabol evaluationofthevalueatriskestimationmethodswithapplyingapenaltyforriskoverestimation