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Passenger car sales projections: Measuring the accuracy of a sales forecasting model

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dc.title Passenger car sales projections: Measuring the accuracy of a sales forecasting model en
dc.contributor.author Pavelková, Drahomíra
dc.contributor.author Homolka, Lubor
dc.contributor.author Vychytilová, Jana
dc.contributor.author Ngo, Minh Vu
dc.contributor.author Bach, Le Tuan
dc.contributor.author Dehning, Bruce
dc.relation.ispartof Ekonomický časopis
dc.identifier.issn 0013-3035 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2018
utb.relation.volume 66
utb.relation.issue 3
dc.citation.spage 227
dc.citation.epage 249
dc.type article
dc.language.iso en
dc.publisher Institute of Geography of the Slovak Academy of Science
dc.relation.uri http://www.ekonom.sav.sk/sk/casopis/rocnik/3-2018
dc.relation.uri https://search.proquest.com/docview/2023955225?pq-origsite=gscholar
dc.subject Accuracy of model en
dc.subject Automotive en
dc.subject Forecasting model en
dc.subject Income en
dc.subject Passenger car sales en
dc.subject Vehicle ownership en
dc.description.abstract This paper considers the importance of the automobile industry in the global economic environment and sheds additional insight on the forecasting of passenger car sales. The study uses data from the automotive sectors in 38 countries, which account for more than 80% of passenger cars in use worldwide for testing the accuracy of a general framework that uses income and other countryspecific factors to forecast passenger cars sales for short- and mid-term periods. The results indicate that this framework can be applied to a wide range markets, but its performance is primarily influenced by income levels in these markets. Tested and discussed are not only income as the main predictor of sales, but also the effects of other factors such as vehicle ownership level on passenger car sales projections. Income is shown to play both a determining role and a moderating role that affects other variables' impact on passenger car sales. © Ekonomicky ustav SAV a Prognosticky ustav CSPV SAV. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1007823
utb.identifier.obdid 43878362
utb.identifier.scopus 2-s2.0-85044615684
utb.identifier.wok 000432411900001
utb.source j-scopus
dc.date.accessioned 2018-04-23T15:01:46Z
dc.date.available 2018-04-23T15:01:46Z
dc.description.sponsorship Czech Science Foundation [16-25536S]
utb.contributor.internalauthor Pavelková, Drahomíra
utb.contributor.internalauthor Homolka, Lubor
utb.contributor.internalauthor Vychytilová, Jana
utb.contributor.internalauthor Ngo, Minh Vu
utb.contributor.internalauthor Bach, Le Tuan
utb.fulltext.affiliation Drahomíra PAVELKOVÁ * – Lubor HOMOLKA * – Jana VYCHYTILOVÁ * – Vu Minh NGO * – Le Tuan BACH * – Bruce DEHNING ** 1 * Drahomíra PAVELKOVÁ – Lubor HOMOLKA – Jana VYCHYTILOVÁ – Vu Minh NGO – Le Tuan BACH, Tomas Bata University in Zlín, Faculty of Management and Economics, Department of Finance and Accounting, nám. TGM 5555, 760 01 Zlín, Czech Republic; e-mail: pavelkova@utb.cz; homolka@utb.cz; vychytilova@utb.cz; ngominhvu@gmail.com; bachstep1008@gmail.com ** Bruce DEHNING, Chapman University, Argyros School of Business and Economics, One University Drive, Orange, CA 92866, USA; e-mail: bdehning@chapman.edu
utb.fulltext.dates -
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utb.fulltext.sponsorship The authors are thankful for the financial support received from the Czech Science Foundation, Grant No. 16-25536S: Methodology of Developing a Predictive Model of Sector and Company Performance in the Macroeconomic Context.
utb.scopus.affiliation Tomas Bata University in Zlín, Faculty of Management and Economics, Department of Finance and Accounting, nám. TGM 5555, Zlín, Czech Republic; Chapman University, Argyros School of Business and Economics, One University Drive, Orange, CA, United States
utb.fulltext.projects 16-25536S
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