Price volatility, hedging and variable risk premium in the crude oil market

The crude oil price exhibits a high degree of volatility which varies significantly over time. Such characteristics imply that the oil market is a promising area for testing volatility models. Testing and predicting volatility using ARCH and GARCH models have grown in the literature. A useful applic...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:OPEC review 2006-06, Vol.30 (2), p.55-70
Hauptverfasser: Jalali-Naini, Ahmad R., Manesh, Maryam Kazemi
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 70
container_issue 2
container_start_page 55
container_title OPEC review
container_volume 30
creator Jalali-Naini, Ahmad R.
Manesh, Maryam Kazemi
description The crude oil price exhibits a high degree of volatility which varies significantly over time. Such characteristics imply that the oil market is a promising area for testing volatility models. Testing and predicting volatility using ARCH and GARCH models have grown in the literature. A useful application of the volatility models is in the formulation of hedging strategies. In this paper we compare the optimal hedge ratio for the crude oil using the classical minimum risk approach and use ARCH to incorporate the effect of heteroskedasticity in the residuals on the hedge ratio. In addition, we test for the existence of a variable risk premium in the crude oil market. We find that, assuming rational expectations, there is a non‐zero risk premium. We test for the variability of the risk premia and find evidence in its support when we employed a multivariate GARCH model.
doi_str_mv 10.1111/j.1468-0076.2006.00161.x
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_19303533</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1063050991</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4311-ed871c7702bea1e3da88f7ad119dabee347f85fa8ce17bbb42aa54ad68dd0d9b3</originalsourceid><addsrcrecordid>eNqNkEFP3DAQha2qlbql_AerUjk1wY6T2HvooVoBLUXAAejRmtgT8OJNFjuB3X9fh0Ug9dS5zEh-7834I4RylvNUh8ucl7XKGJN1XjBW54zxmuebd2T2-vCezFghZca4Yh_JpxiXLNVcyBn5fRmcQfrYexicd8P2G71De-u6WwqdpY8QHDQeaXDxnq4Drty4oq6jwx1SE0aLtHeeriDc4_CZfGjBR9x_6Xvk-vjoavEzO7s4-bX4cZaZUnCeoVWSGylZ0SBwFBaUaiVYzucWGkRRylZVLSiDXDZNUxYAVQm2VtYyO2_EHjnY5a5D_zBiHPTKRYPeQ4f9GDWfCyYqIZLwyz_CZT-GLt2mC1YVdVGrKonUTmRCH2PAVq-DSx_aas70hFgv9URSTyT1hFg_I9abZP36kg_RgG8DdMbFN79UaQGb7vi-0z05j9v_ztcXl0eLNCV_tvO7OODm1Z-g61oKWek_5ye6LE4X5_LmVJfiL4qmni8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>205262685</pqid></control><display><type>article</type><title>Price volatility, hedging and variable risk premium in the crude oil market</title><source>Wiley Online Library Journals Frontfile Complete</source><source>PAIS Index</source><source>Business Source Complete</source><creator>Jalali-Naini, Ahmad R. ; Manesh, Maryam Kazemi</creator><creatorcontrib>Jalali-Naini, Ahmad R. ; Manesh, Maryam Kazemi</creatorcontrib><description>The crude oil price exhibits a high degree of volatility which varies significantly over time. Such characteristics imply that the oil market is a promising area for testing volatility models. Testing and predicting volatility using ARCH and GARCH models have grown in the literature. A useful application of the volatility models is in the formulation of hedging strategies. In this paper we compare the optimal hedge ratio for the crude oil using the classical minimum risk approach and use ARCH to incorporate the effect of heteroskedasticity in the residuals on the hedge ratio. In addition, we test for the existence of a variable risk premium in the crude oil market. We find that, assuming rational expectations, there is a non‐zero risk premium. We test for the variability of the risk premia and find evidence in its support when we employed a multivariate GARCH model.</description><identifier>ISSN: 0277-0180</identifier><identifier>ISSN: 1753-0229</identifier><identifier>EISSN: 1468-0076</identifier><identifier>EISSN: 1753-0237</identifier><identifier>DOI: 10.1111/j.1468-0076.2006.00161.x</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Applied sciences ; Arches ; Autoregressive models ; Comparative analysis ; Crude oil ; Crude oil prices ; Economic data ; Energy ; Energy economics ; Exact sciences and technology ; Expectations ; Fossil fuels and derived products ; General, economic and professional studies ; Hedging ; International markets ; Markets ; Measures of variability ; Methodology. Modelling ; Oil ; Petroleum ; Prices ; Risk ; Risk premiums ; Stochastic models ; Studies ; Testing ; Volatility</subject><ispartof>OPEC review, 2006-06, Vol.30 (2), p.55-70</ispartof><rights>2006 INIST-CNRS</rights><rights>2006 Organization of the Petroleum Exporting Countries</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4311-ed871c7702bea1e3da88f7ad119dabee347f85fa8ce17bbb42aa54ad68dd0d9b3</citedby><cites>FETCH-LOGICAL-c4311-ed871c7702bea1e3da88f7ad119dabee347f85fa8ce17bbb42aa54ad68dd0d9b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1468-0076.2006.00161.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1468-0076.2006.00161.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27843,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=17868503$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Jalali-Naini, Ahmad R.</creatorcontrib><creatorcontrib>Manesh, Maryam Kazemi</creatorcontrib><title>Price volatility, hedging and variable risk premium in the crude oil market</title><title>OPEC review</title><description>The crude oil price exhibits a high degree of volatility which varies significantly over time. Such characteristics imply that the oil market is a promising area for testing volatility models. Testing and predicting volatility using ARCH and GARCH models have grown in the literature. A useful application of the volatility models is in the formulation of hedging strategies. In this paper we compare the optimal hedge ratio for the crude oil using the classical minimum risk approach and use ARCH to incorporate the effect of heteroskedasticity in the residuals on the hedge ratio. In addition, we test for the existence of a variable risk premium in the crude oil market. We find that, assuming rational expectations, there is a non‐zero risk premium. We test for the variability of the risk premia and find evidence in its support when we employed a multivariate GARCH model.</description><subject>Applied sciences</subject><subject>Arches</subject><subject>Autoregressive models</subject><subject>Comparative analysis</subject><subject>Crude oil</subject><subject>Crude oil prices</subject><subject>Economic data</subject><subject>Energy</subject><subject>Energy economics</subject><subject>Exact sciences and technology</subject><subject>Expectations</subject><subject>Fossil fuels and derived products</subject><subject>General, economic and professional studies</subject><subject>Hedging</subject><subject>International markets</subject><subject>Markets</subject><subject>Measures of variability</subject><subject>Methodology. Modelling</subject><subject>Oil</subject><subject>Petroleum</subject><subject>Prices</subject><subject>Risk</subject><subject>Risk premiums</subject><subject>Stochastic models</subject><subject>Studies</subject><subject>Testing</subject><subject>Volatility</subject><issn>0277-0180</issn><issn>1753-0229</issn><issn>1468-0076</issn><issn>1753-0237</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNqNkEFP3DAQha2qlbql_AerUjk1wY6T2HvooVoBLUXAAejRmtgT8OJNFjuB3X9fh0Ug9dS5zEh-7834I4RylvNUh8ucl7XKGJN1XjBW54zxmuebd2T2-vCezFghZca4Yh_JpxiXLNVcyBn5fRmcQfrYexicd8P2G71De-u6WwqdpY8QHDQeaXDxnq4Drty4oq6jwx1SE0aLtHeeriDc4_CZfGjBR9x_6Xvk-vjoavEzO7s4-bX4cZaZUnCeoVWSGylZ0SBwFBaUaiVYzucWGkRRylZVLSiDXDZNUxYAVQm2VtYyO2_EHjnY5a5D_zBiHPTKRYPeQ4f9GDWfCyYqIZLwyz_CZT-GLt2mC1YVdVGrKonUTmRCH2PAVq-DSx_aas70hFgv9URSTyT1hFg_I9abZP36kg_RgG8DdMbFN79UaQGb7vi-0z05j9v_ztcXl0eLNCV_tvO7OODm1Z-g61oKWek_5ye6LE4X5_LmVJfiL4qmni8</recordid><startdate>200606</startdate><enddate>200606</enddate><creator>Jalali-Naini, Ahmad R.</creator><creator>Manesh, Maryam Kazemi</creator><general>Blackwell Publishing Ltd</general><general>Blackwell</general><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TA</scope><scope>7TN</scope><scope>7TQ</scope><scope>8BJ</scope><scope>8FD</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>F1W</scope><scope>FQK</scope><scope>H96</scope><scope>JBE</scope><scope>JG9</scope><scope>L.G</scope><scope>SOI</scope><scope>7U1</scope><scope>7U2</scope></search><sort><creationdate>200606</creationdate><title>Price volatility, hedging and variable risk premium in the crude oil market</title><author>Jalali-Naini, Ahmad R. ; Manesh, Maryam Kazemi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4311-ed871c7702bea1e3da88f7ad119dabee347f85fa8ce17bbb42aa54ad68dd0d9b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Applied sciences</topic><topic>Arches</topic><topic>Autoregressive models</topic><topic>Comparative analysis</topic><topic>Crude oil</topic><topic>Crude oil prices</topic><topic>Economic data</topic><topic>Energy</topic><topic>Energy economics</topic><topic>Exact sciences and technology</topic><topic>Expectations</topic><topic>Fossil fuels and derived products</topic><topic>General, economic and professional studies</topic><topic>Hedging</topic><topic>International markets</topic><topic>Markets</topic><topic>Measures of variability</topic><topic>Methodology. Modelling</topic><topic>Oil</topic><topic>Petroleum</topic><topic>Prices</topic><topic>Risk</topic><topic>Risk premiums</topic><topic>Stochastic models</topic><topic>Studies</topic><topic>Testing</topic><topic>Volatility</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jalali-Naini, Ahmad R.</creatorcontrib><creatorcontrib>Manesh, Maryam Kazemi</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Materials Business File</collection><collection>Oceanic Abstracts</collection><collection>PAIS Index</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>International Bibliography of the Social Sciences</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>International Bibliography of the Social Sciences</collection><collection>Materials Research Database</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><jtitle>OPEC review</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jalali-Naini, Ahmad R.</au><au>Manesh, Maryam Kazemi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Price volatility, hedging and variable risk premium in the crude oil market</atitle><jtitle>OPEC review</jtitle><date>2006-06</date><risdate>2006</risdate><volume>30</volume><issue>2</issue><spage>55</spage><epage>70</epage><pages>55-70</pages><issn>0277-0180</issn><issn>1753-0229</issn><eissn>1468-0076</eissn><eissn>1753-0237</eissn><abstract>The crude oil price exhibits a high degree of volatility which varies significantly over time. Such characteristics imply that the oil market is a promising area for testing volatility models. Testing and predicting volatility using ARCH and GARCH models have grown in the literature. A useful application of the volatility models is in the formulation of hedging strategies. In this paper we compare the optimal hedge ratio for the crude oil using the classical minimum risk approach and use ARCH to incorporate the effect of heteroskedasticity in the residuals on the hedge ratio. In addition, we test for the existence of a variable risk premium in the crude oil market. We find that, assuming rational expectations, there is a non‐zero risk premium. We test for the variability of the risk premia and find evidence in its support when we employed a multivariate GARCH model.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/j.1468-0076.2006.00161.x</doi><tpages>16</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0277-0180
ispartof OPEC review, 2006-06, Vol.30 (2), p.55-70
issn 0277-0180
1753-0229
1468-0076
1753-0237
language eng
recordid cdi_proquest_miscellaneous_19303533
source Wiley Online Library Journals Frontfile Complete; PAIS Index; Business Source Complete
subjects Applied sciences
Arches
Autoregressive models
Comparative analysis
Crude oil
Crude oil prices
Economic data
Energy
Energy economics
Exact sciences and technology
Expectations
Fossil fuels and derived products
General, economic and professional studies
Hedging
International markets
Markets
Measures of variability
Methodology. Modelling
Oil
Petroleum
Prices
Risk
Risk premiums
Stochastic models
Studies
Testing
Volatility
title Price volatility, hedging and variable risk premium in the crude oil market
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T23%3A17%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Price%20volatility,%20hedging%20and%20variable%20risk%20premium%20in%20the%20crude%20oil%20market&rft.jtitle=OPEC%20review&rft.au=Jalali-Naini,%20Ahmad%20R.&rft.date=2006-06&rft.volume=30&rft.issue=2&rft.spage=55&rft.epage=70&rft.pages=55-70&rft.issn=0277-0180&rft.eissn=1468-0076&rft_id=info:doi/10.1111/j.1468-0076.2006.00161.x&rft_dat=%3Cproquest_cross%3E1063050991%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=205262685&rft_id=info:pmid/&rfr_iscdi=true