{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,16]],"date-time":"2024-09-16T13:20:26Z","timestamp":1726492826182},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030243012"},{"type":"electronic","value":"9783030243029"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-24302-9_13","type":"book-chapter","created":{"date-parts":[[2019,6,28]],"date-time":"2019-06-28T12:02:51Z","timestamp":1561723371000},"page":"167-182","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Forecasting Wheat Prices Based on Past Behavior: Comparison of Different Modelling Approaches"],"prefix":"10.1007","author":[{"ORCID":"http:\/\/orcid.org\/0000-0003-2517-7905","authenticated-orcid":false,"given":"Joana","family":"Dias","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-5981-4469","authenticated-orcid":false,"given":"Humberto","family":"Rocha","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,6,29]]},"reference":[{"key":"13_CR1","unstructured":"Curtis, B.C., Rajaram, S., G\u00f3mez, M.: Bread wheat: improvement and production: Food and Agriculture Organization of the United Nations (FAO) (2002)"},{"key":"13_CR2","first-page":"37","volume":"4","author":"J Yang","year":"2003","unstructured":"Yang, J., Zhang, J., Leatham, D.J.: Price and volatility transmission in international wheat futures markets. Ann. Econ. Finan. 4, 37\u201350 (2003)","journal-title":"Ann. Econ. Finan."},{"key":"13_CR3","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1162\/003465302317332008","volume":"84","author":"AD Brunner","year":"2002","unstructured":"Brunner, A.D.: El Nino and world primary commodity prices: warm water or hot air? Rev. Econ. Stat. 84, 176\u2013183 (2002)","journal-title":"Rev. Econ. Stat."},{"key":"13_CR4","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1111\/j.1744-7976.2004.tb00371.x","volume":"52","author":"HSJ Hill","year":"2004","unstructured":"Hill, H.S.J., et al.: Implications of seasonal climate forecasts on world wheat trade: a stochastic, dynamic analysis. Can. J. Agr. Econ.\/Revue canadienne d\u2019agroeconomie 52, 289\u2013312 (2004)","journal-title":"Can. J. Agr. Econ.\/Revue canadienne d\u2019agroeconomie"},{"key":"13_CR5","doi-asserted-by":"publisher","first-page":"490","DOI":"10.1016\/j.worlddev.2017.03.031","volume":"96","author":"D Ubilava","year":"2017","unstructured":"Ubilava, D.: The ENSO effect and asymmetries in wheat price dynamics. World Dev. 96, 490\u2013502 (2017)","journal-title":"World Dev."},{"key":"13_CR6","unstructured":"Ramirez, O.A., Fadiga, M.: Forecasting agricultural commodity prices with asymmetric-error GARCH models. J. Agr. Resource Econ. 28(1), 71\u201385 (2003)"},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Benavides, G.: Price volatility forecasts for agricultural commodities: an application of historical volatility models, option implieds and composite approaches for futures prices of corn and wheat. SSRN (2004)","DOI":"10.2139\/ssrn.611062"},{"key":"13_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1111\/1467-9787.00287","volume":"43","author":"DA Bessler","year":"2003","unstructured":"Bessler, D.A., Yang, J., Wongcharupan, M.: Price dynamics in the international wheat market: modeling with error correction and directed acyclic graphs. J. Reg. Sci. 43, 1\u201333 (2003)","journal-title":"J. Reg. Sci."},{"key":"13_CR9","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1093\/erae\/30.1.77","volume":"30","author":"MJ Roche","year":"2003","unstructured":"Roche, M.J., McQuinn, K.: Grain price volatility in a small open economy. Eur. Rev. Agr. Econ. 30, 77\u201398 (2003)","journal-title":"Eur. Rev. Agr. Econ."},{"key":"13_CR10","unstructured":"Hoffman, L., Irwin, S.H., Toasa, J.: Forecast performance of futures price models for corn, soybeans, and wheat. Agricultural & Applied Economics Association, Milwaukee, WI (2007)"},{"key":"13_CR11","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1002\/for.1062","volume":"27","author":"A Jumah","year":"2008","unstructured":"Jumah, A., Kunst, R.M.: Seasonal prediction of European cereal prices: good forecasts using bad models? J. Forecast. 27, 391\u2013406 (2008)","journal-title":"J. Forecast."},{"key":"13_CR12","first-page":"91","volume":"2","author":"FM Arshad","year":"2009","unstructured":"Arshad, F.M., Hameed, A.A.A.: The long run relationship between petroleum and cereals prices. Glob. Econ. Finan. J. 2, 91\u2013100 (2009)","journal-title":"Glob. Econ. Finan. J."},{"key":"13_CR13","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1111\/agec.12099","volume":"45","author":"B Algieri","year":"2014","unstructured":"Algieri, B.: A roller coaster ride: an empirical investigation of the main drivers of the international wheat price. Agr. Econ. 45, 459\u2013475 (2014)","journal-title":"Agr. Econ."},{"key":"13_CR14","doi-asserted-by":"publisher","first-page":"1145","DOI":"10.1162\/qjec.2010.125.3.1145","volume":"125","author":"Y-C Chen","year":"2010","unstructured":"Chen, Y.-C., Rogoff, K.S., Rossi, B.: Can exchange rates forecast commodity prices? Quart. J. Econ. 125, 1145\u20131194 (2010)","journal-title":"Quart. J. Econ."},{"key":"13_CR15","unstructured":"Adjemian, M.K., Janzen, J., Carter, C.A., Smith, A.: Deconstructing Wheat Price Spikes: A Model of Supply and Demand, Financial Speculation, and Commodity Price Comovement. United States Department of Agriculture, Economic Research Service (2014)"},{"key":"13_CR16","doi-asserted-by":"publisher","first-page":"838","DOI":"10.1016\/j.ijforecast.2016.01.002","volume":"32","author":"H Ahumada","year":"2016","unstructured":"Ahumada, H., Cornejo, M.: Forecasting food prices: the case of corn, soybeans and wheat. Int. J. Forecast. 32, 838\u2013848 (2016)","journal-title":"Int. J. Forecast."},{"key":"13_CR17","first-page":"19","volume":"3","author":"A Khamis","year":"2014","unstructured":"Khamis, A., Abdullah, S.: Forecasting wheat price using Backpropagation and NARX Neural Network. Int. J. Eng. Sci. 3, 19\u201326 (2014)","journal-title":"Int. J. Eng. Sci."},{"key":"13_CR18","first-page":"3","volume":"6","author":"RB Cleveland","year":"1990","unstructured":"Cleveland, R.B., Cleveland, W.S., McRae, J.E., Terpenning, I.: STL: a seasonal-trend decomposition procedure based on loess. J. Official Stat. 6, 3\u201373 (1990)","journal-title":"J. Official Stat."},{"key":"13_CR19","volume-title":"Classification and Regression Trees","author":"L Breiman","year":"1983","unstructured":"Breiman, L., Friedman, J.H., Olshen, R.A., Stone, C.J.: Classification and Regression Trees. CRC Press, Boca Raton (1983)"},{"key":"13_CR20","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"LEO Breiman","year":"2001","unstructured":"Breiman, L.E.O.: Random forests. Mach. Learn. 45, 5\u201332 (2001)","journal-title":"Mach. Learn."},{"key":"13_CR21","doi-asserted-by":"publisher","first-page":"3104","DOI":"10.1016\/j.eswa.2009.09.019","volume":"37","author":"D-C Li","year":"2010","unstructured":"Li, D.-C., Liu, C.-W.: A class possibility based kernel to increase classification accuracy for small data sets using support vector machines. Expert Syst. Appl. 37, 3104\u20133110 (2010)","journal-title":"Expert Syst. Appl."},{"key":"13_CR22","doi-asserted-by":"crossref","unstructured":"Chapelle, O., Vapnik, V.: Model selection for support vector machines. In: Solla, S., Leen, T.K., Miller, K.-R. (eds.) Advances in Neural Information Processing Systems 12, pp. 230\u2013236. MIP Press (2000)","DOI":"10.1162\/089976600300015042"},{"key":"13_CR23","first-page":"1","volume":"15","author":"K Hornik","year":"2006","unstructured":"Hornik, K., Meyer, D., Karatzoglou, A.: Support vector machines in R. J. Stat. Softw. 15, 1\u201328 (2006)","journal-title":"J. Stat. Softw."},{"key":"13_CR24","first-page":"79","volume":"19","author":"JH Friedman","year":"1991","unstructured":"Friedman, J.H.: Multivariate adaptive regression splines (with discussion). Ann. Stat. 19, 79\u2013141 (1991)","journal-title":"Ann. Stat."},{"key":"13_CR25","doi-asserted-by":"crossref","unstructured":"Re, M., Valentini, G.: Ensemble methods: a review. In: Srivastava, A.N., Scargle, J.D., Ali, K., Way, M.J. (eds) Data Mining and Machine Learning for Astronomical Applications, pp. 1\u201340. Chapman & Hall (2011)","DOI":"10.1201\/b11822-34"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2019"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-24302-9_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,5]],"date-time":"2019-09-05T05:40:01Z","timestamp":1567662001000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-24302-9_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030243012","9783030243029"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-24302-9_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"29 June 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science and Its Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Saint Petersburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Russia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 July 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 July 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsa2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iccsa.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}