{"id":{"repo_id":"vt","oai_identifier":"oai:vtechworks.lib.vt.edu:10919/36816"},"canonical_url":"https://search.dev.ndltd.org/etd/vt/oai:vtechworks.lib.vt.edu:10919/36816","repository":{"repo_id":"vt","name":"Virginia Tech","base_url":"https://vtechworks.lib.vt.edu/oai/request"},"display":{"title":"Efficient Market Forecasts Utilizing NYMEX Futures and Options","abstract":"This study develops a method for estimating confidence intervals surrounding futures based forecasts of natural gas prices. The method utilizes the Barone-Adesi and Whaley model for option valuation to &quot;back-out&quot; the market's assessment of the annualized standard deviation of natural gas futures prices. The various implied standard deviations are then weighted and combined to form a single weighted implied standard deviation following the procedures outlined by Chiras and Manaster. This option implied weighted standard deviation is then tested against the more traditional &quot;historical&quot; measure of the standard deviation. The paper then develops the procedure to transform the weighted standard deviation and futures price into a price range at the option expiration date. The accuracy of this forecast is then tested against 15 and 30 day average forecasts.","abstract_html":"This study develops a method for estimating confidence intervals surrounding futures based forecasts of natural gas prices. The method utilizes the Barone-Adesi and Whaley model for option valuation to &amp;quot;back-out&amp;quot; the market&#x27;s assessment of the annualized standard deviation of natural gas futures prices. The various implied standard deviations are then weighted and combined to form a single weighted implied standard deviation following the procedures outlined by Chiras and Manaster. This option implied weighted standard deviation is then tested against the more traditional &amp;quot;historical&amp;quot; measure of the standard deviation. The paper then develops the procedure to transform the weighted standard deviation and futures price into a price range at the option expiration date. The accuracy of this forecast is then tested against 15 and 30 day average forecasts.","abstract_has_math":false,"creators":["Cahill, Steven"],"institution":"Virginia Tech","degree_name":"Master of Arts","degree_level":"masters","degree_discipline":"Economics","degree_department":"Economics","school":null,"contributors":[],"advisors":[],"committee_chairs":["Waud, Roger N."],"committee_members":["Lutton, Thomas J.","Reid, Brian K.","Wentzler, Nancy A."],"year":1998,"date_issued":"1998-05-28","date_published":"1998-05-28","updated_at":"2026-07-22T22:20:05Z","subjects":["Futures","Options","Forecast","Natural Gas"],"languages":[],"rights":["In Copyright"],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["etd-5498-83724"],"render_values":[{"text":"etd-5498-83724","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/10919/36816","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.committeechair","label":"Committee Chair","values":["Waud, Roger N."]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Lutton, Thomas J.","Reid, Brian K.","Wentzler, Nancy A."]},{"key":"dc:contributor.department","label":"Department","values":["Economics"]},{"key":"dc:creator","label":"Author","values":["Cahill, Steven"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2014-03-14T20:51:54Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2014-03-14T20:51:54Z","1998-06-12"]},{"key":"dc:date.issued","label":"Date","values":["1998-05-28"]},{"key":"dc:publisher","label":"Institution","values":["Virginia Tech"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Economics"]},{"key":"thesis:degree_level","label":"Degree Level","values":["masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Arts"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Virginia Polytechnic Institute and State University"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Futures","Options","Forecast","Natural Gas"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["In Copyright"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["etd-5498-83724"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10919/36816"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This study develops a method for estimating confidence intervals surrounding futures based forecasts of natural gas prices. The method utilizes the Barone-Adesi and Whaley model for option valuation to &quot;back-out&quot; the market's assessment of the annualized standard deviation of natural gas futures prices. The various implied standard deviations are then weighted and combined to form a single weighted implied standard deviation following the procedures outlined by Chiras and Manaster. This option implied weighted standard deviation is then tested against the more traditional &quot;historical&quot; measure of the standard deviation. The paper then develops the procedure to transform the weighted standard deviation and futures price into a price range at the option expiration date. The accuracy of this forecast is then tested against 15 and 30 day average forecasts."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["Master of Arts"]},{"key":"dc:title","label":"Title","values":["Efficient Market Forecasts Utilizing NYMEX Futures and Options"]}]}],"canonical_facts":{"dc:contributor.committeechair":["Waud, Roger N."],"dc:contributor.committeemember":["Lutton, Thomas J.","Reid, Brian K.","Wentzler, Nancy A."],"dc:contributor.department":["Economics"],"dc:creator":["Cahill, Steven"],"dc:date.accessioned":["2014-03-14T20:51:54Z"],"dc:date.available":["2014-03-14T20:51:54Z","1998-06-12"],"dc:date.issued":["1998-05-28"],"dc:description.abstract":["This study develops a method for estimating confidence intervals surrounding futures based forecasts of natural gas prices. 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