Are oil, gold and the euro inter-related? Time series and neural network analysis
This paper investigates inter-relationships among the price behavior of oil, gold and the euro using time series and neural network methodologies. Traditionally gold is a leading indicator of future inflation. Both the demand and supply of oil as a key global commodity are impacted by inflationary e...
Gespeichert in:
| Veröffentlicht in: | Review of quantitative finance and accounting 2013, Vol.40 (1), p.1-14 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 14 |
|---|---|
| container_issue | 1 |
| container_start_page | 1 |
| container_title | Review of quantitative finance and accounting |
| container_volume | 40 |
| creator | Malliaris, A. G. Malliaris, Mary |
| description | This paper investigates inter-relationships among the price behavior of oil, gold and the euro using time series and neural network methodologies. Traditionally gold is a leading indicator of future inflation. Both the demand and supply of oil as a key global commodity are impacted by inflationary expectations and such expectations determine current spot prices. Inflation influences both short and long-term interest rates that in turn influence the value of the dollar measured in terms of the euro. Certain hypotheses are formulated in this paper and time series and neural network methodologies are employed to test these hypotheses. We find that the markets for oil, gold and the euro are efficient but have limited inter-relationships among themselves. |
| doi_str_mv | 10.1007/s11156-011-0265-9 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1282038760</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2859049071</sourcerecordid><originalsourceid>FETCH-LOGICAL-c456t-520c84eb428439fc84ef087e0e3f7afe62f1299199f4c9d2aeffa6d7d990e07f3</originalsourceid><addsrcrecordid>eNp1kE1LxDAQhoMouK7-AG8FLx6MTtImaU6yLH7BgggreAuxnaxdu-2atMj-e1PrQQRPMwzP-zI8hJwyuGQA6iowxoSkwBgFLgXVe2TChEqpYkrvkwlontFcipdDchTCGiCmhJiQp5nHpK3qi2TV1mVimzLp3jDB3rdJ1XToqcfadlheJ8tqg0lAX2H45poI2TqO7rP17_Fk612owjE5cLYOePIzp-T59mY5v6eLx7uH-WxBi0zIjgoORZ7ha8bzLNVu2B3kCgFTp6xDyR3jWjOtXVboklt0zspSlVoDgnLplJyPvVvffvQYOrOpQoF1bRts-2AYzzmkuZIQ0bM_6Lrtffx3oKTMRa5ARIqNVOHbEDw6s_XVxvqdYWAGyWaUbKJkM0g2Omb4mAmRbVbofzX_G_oCgFZ-SQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1266858705</pqid></control><display><type>article</type><title>Are oil, gold and the euro inter-related? Time series and neural network analysis</title><source>Business Source Complete</source><source>SpringerLink Journals - AutoHoldings</source><creator>Malliaris, A. G. ; Malliaris, Mary</creator><creatorcontrib>Malliaris, A. G. ; Malliaris, Mary</creatorcontrib><description>This paper investigates inter-relationships among the price behavior of oil, gold and the euro using time series and neural network methodologies. Traditionally gold is a leading indicator of future inflation. Both the demand and supply of oil as a key global commodity are impacted by inflationary expectations and such expectations determine current spot prices. Inflation influences both short and long-term interest rates that in turn influence the value of the dollar measured in terms of the euro. Certain hypotheses are formulated in this paper and time series and neural network methodologies are employed to test these hypotheses. We find that the markets for oil, gold and the euro are efficient but have limited inter-relationships among themselves.</description><identifier>ISSN: 0924-865X</identifier><identifier>EISSN: 1573-7179</identifier><identifier>DOI: 10.1007/s11156-011-0265-9</identifier><language>eng</language><publisher>Boston: Springer US</publisher><subject>Accounting/Auditing ; American dollar ; Commodities ; Commodity prices ; Corporate Finance ; Currency ; Econometrics ; Economics and Finance ; Energy economics ; Finance ; Gold ; Hypotheses ; Hypothesis ; Inflation ; Interest rates ; Methodology ; Neural networks ; Oil ; Operations Research/Decision Theory ; Original Research ; Prices ; Studies ; Time series</subject><ispartof>Review of quantitative finance and accounting, 2013, Vol.40 (1), p.1-14</ispartof><rights>Springer Science+Business Media, LLC 2011</rights><rights>Springer Science+Business Media New York 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c456t-520c84eb428439fc84ef087e0e3f7afe62f1299199f4c9d2aeffa6d7d990e07f3</citedby><cites>FETCH-LOGICAL-c456t-520c84eb428439fc84ef087e0e3f7afe62f1299199f4c9d2aeffa6d7d990e07f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11156-011-0265-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11156-011-0265-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Malliaris, A. G.</creatorcontrib><creatorcontrib>Malliaris, Mary</creatorcontrib><title>Are oil, gold and the euro inter-related? Time series and neural network analysis</title><title>Review of quantitative finance and accounting</title><addtitle>Rev Quant Finan Acc</addtitle><description>This paper investigates inter-relationships among the price behavior of oil, gold and the euro using time series and neural network methodologies. Traditionally gold is a leading indicator of future inflation. Both the demand and supply of oil as a key global commodity are impacted by inflationary expectations and such expectations determine current spot prices. Inflation influences both short and long-term interest rates that in turn influence the value of the dollar measured in terms of the euro. Certain hypotheses are formulated in this paper and time series and neural network methodologies are employed to test these hypotheses. We find that the markets for oil, gold and the euro are efficient but have limited inter-relationships among themselves.</description><subject>Accounting/Auditing</subject><subject>American dollar</subject><subject>Commodities</subject><subject>Commodity prices</subject><subject>Corporate Finance</subject><subject>Currency</subject><subject>Econometrics</subject><subject>Economics and Finance</subject><subject>Energy economics</subject><subject>Finance</subject><subject>Gold</subject><subject>Hypotheses</subject><subject>Hypothesis</subject><subject>Inflation</subject><subject>Interest rates</subject><subject>Methodology</subject><subject>Neural networks</subject><subject>Oil</subject><subject>Operations Research/Decision Theory</subject><subject>Original Research</subject><subject>Prices</subject><subject>Studies</subject><subject>Time series</subject><issn>0924-865X</issn><issn>1573-7179</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp1kE1LxDAQhoMouK7-AG8FLx6MTtImaU6yLH7BgggreAuxnaxdu-2atMj-e1PrQQRPMwzP-zI8hJwyuGQA6iowxoSkwBgFLgXVe2TChEqpYkrvkwlontFcipdDchTCGiCmhJiQp5nHpK3qi2TV1mVimzLp3jDB3rdJ1XToqcfadlheJ8tqg0lAX2H45poI2TqO7rP17_Fk612owjE5cLYOePIzp-T59mY5v6eLx7uH-WxBi0zIjgoORZ7ha8bzLNVu2B3kCgFTp6xDyR3jWjOtXVboklt0zspSlVoDgnLplJyPvVvffvQYOrOpQoF1bRts-2AYzzmkuZIQ0bM_6Lrtffx3oKTMRa5ARIqNVOHbEDw6s_XVxvqdYWAGyWaUbKJkM0g2Omb4mAmRbVbofzX_G_oCgFZ-SQ</recordid><startdate>2013</startdate><enddate>2013</enddate><creator>Malliaris, A. G.</creator><creator>Malliaris, Mary</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X1</scope><scope>7XB</scope><scope>87Z</scope><scope>885</scope><scope>8A9</scope><scope>8AO</scope><scope>8BJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ANIOZ</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FQK</scope><scope>FRAZJ</scope><scope>FRNLG</scope><scope>F~G</scope><scope>JBE</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>M1F</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>2013</creationdate><title>Are oil, gold and the euro inter-related? Time series and neural network analysis</title><author>Malliaris, A. G. ; Malliaris, Mary</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c456t-520c84eb428439fc84ef087e0e3f7afe62f1299199f4c9d2aeffa6d7d990e07f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Accounting/Auditing</topic><topic>American dollar</topic><topic>Commodities</topic><topic>Commodity prices</topic><topic>Corporate Finance</topic><topic>Currency</topic><topic>Econometrics</topic><topic>Economics and Finance</topic><topic>Energy economics</topic><topic>Finance</topic><topic>Gold</topic><topic>Hypotheses</topic><topic>Hypothesis</topic><topic>Inflation</topic><topic>Interest rates</topic><topic>Methodology</topic><topic>Neural networks</topic><topic>Oil</topic><topic>Operations Research/Decision Theory</topic><topic>Original Research</topic><topic>Prices</topic><topic>Studies</topic><topic>Time series</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Malliaris, A. G.</creatorcontrib><creatorcontrib>Malliaris, Mary</creatorcontrib><collection>CrossRef</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Accounting & Tax Database</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Banking Information Database (Alumni Edition)</collection><collection>Accounting & Tax Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Accounting, Tax & Banking Collection</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>International Bibliography of the Social Sciences</collection><collection>Accounting, Tax & Banking Collection (Alumni)</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ABI/INFORM Global</collection><collection>Banking Information Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Review of quantitative finance and accounting</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Malliaris, A. G.</au><au>Malliaris, Mary</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Are oil, gold and the euro inter-related? Time series and neural network analysis</atitle><jtitle>Review of quantitative finance and accounting</jtitle><stitle>Rev Quant Finan Acc</stitle><date>2013</date><risdate>2013</risdate><volume>40</volume><issue>1</issue><spage>1</spage><epage>14</epage><pages>1-14</pages><issn>0924-865X</issn><eissn>1573-7179</eissn><abstract>This paper investigates inter-relationships among the price behavior of oil, gold and the euro using time series and neural network methodologies. Traditionally gold is a leading indicator of future inflation. Both the demand and supply of oil as a key global commodity are impacted by inflationary expectations and such expectations determine current spot prices. Inflation influences both short and long-term interest rates that in turn influence the value of the dollar measured in terms of the euro. Certain hypotheses are formulated in this paper and time series and neural network methodologies are employed to test these hypotheses. We find that the markets for oil, gold and the euro are efficient but have limited inter-relationships among themselves.</abstract><cop>Boston</cop><pub>Springer US</pub><doi>10.1007/s11156-011-0265-9</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0924-865X |
| ispartof | Review of quantitative finance and accounting, 2013, Vol.40 (1), p.1-14 |
| issn | 0924-865X 1573-7179 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1282038760 |
| source | Business Source Complete; SpringerLink Journals - AutoHoldings |
| subjects | Accounting/Auditing American dollar Commodities Commodity prices Corporate Finance Currency Econometrics Economics and Finance Energy economics Finance Gold Hypotheses Hypothesis Inflation Interest rates Methodology Neural networks Oil Operations Research/Decision Theory Original Research Prices Studies Time series |
| title | Are oil, gold and the euro inter-related? Time series and neural network analysis |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T11%3A50%3A08IST&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=Are%20oil,%20gold%20and%20the%20euro%20inter-related?%20Time%20series%20and%20neural%20network%20analysis&rft.jtitle=Review%20of%20quantitative%20finance%20and%20accounting&rft.au=Malliaris,%20A.%20G.&rft.date=2013&rft.volume=40&rft.issue=1&rft.spage=1&rft.epage=14&rft.pages=1-14&rft.issn=0924-865X&rft.eissn=1573-7179&rft_id=info:doi/10.1007/s11156-011-0265-9&rft_dat=%3Cproquest_cross%3E2859049071%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=1266858705&rft_id=info:pmid/&rfr_iscdi=true |