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The usage of time series control charts for financial process analysis

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dc.title The usage of time series control charts for financial process analysis en
dc.contributor.author Kovářík, Martin
dc.contributor.author Klímek, Petr
dc.relation.ispartof Journal of Competitiveness
dc.identifier.issn 1804-171X Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.issn 1804-1728 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2012
utb.relation.volume 4
utb.relation.issue 3
dc.citation.spage 29
dc.citation.epage 45
dc.type article
dc.language.iso en
dc.publisher Tomas Bata University in Zlín
dc.publisher Univerzita Tomáše Bati ve Zlíně (UTB) cs
dc.publisher Tomas Bata University in Zlín en
dc.identifier.doi 10.7441/joc.2012.03.03
dc.relation.uri https://www.cjournal.cz/index.php?hid=clanek&bid=archiv&cid=106&cp=
dc.subject Statistical Process Control en
dc.subject Shewhart’s control charts en
dc.subject autocorrelation en
dc.subject EWMA control chart en
dc.subject CUSUM control chart en
dc.subject ARIMA control chart en
dc.description.abstract We will deal with financial proceedings of the company using methods of SPC (Statistical Process Control), specifically through time series control charts. The paper will outline the intersection of two disciplines which are econometrics and statistical process control. The theoretical part will discuss the methodology of time series control charts and in the research part there will be this methodology demonstrated in three case studies. The first study will focus on the regulation of simulated financial flows for a company by CUSUM control chart. The second study will involve the regulation of financial flows for a heteroskedastic financial process by EWMA control chart. The last case study of our paper will be devoted to applications of ARIMA, EWMA and CUSUM control charts in the financial data that are sensitive to the mean shifting while calculating the autocorrelation in the data. In this paper, we highlight the versatility of control charts not only in manufacturing but also in managing the financial stability of cash flows. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1003017
utb.identifier.rivid RIV/70883521:28120/12:43868211!RIV13-MSM-28120___
utb.identifier.obdid 43868305
utb.identifier.wok 000435291000003
utb.source j-orig
dc.date.accessioned 2012-11-07T00:56:22Z
dc.date.available 2012-11-07T00:56:22Z
dc.description.sponsorship IGA TBU, Developement in usage of mathematical and statistical methods in quality management [IGA/73/FaME/10/]
dc.rights Attribution 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Kovářík, Martin
utb.contributor.internalauthor Klímek, Petr
utb.fulltext.affiliation Ing. Bc. Martin Kovářík, Ph.D. Assoc. Prof. Ing. Petr Klímek, Ph.D. Tomas Bata University in Zlín, Faculty of Management and Economics Department of Statistics and Quantitative Methods Mostní 5139, 760 01 Zlín Tel: +420 576 032 815 E-mail: [email protected] E-mail: [email protected]
utb.fulltext.dates -
utb.fulltext.sponsorship This paper has been supported by IGA TBU No IGA/73/FaME/10/, Developement in usage of mathematical and statistical methods in quality management.
utb.wos.affiliation [Kovarik, Martin; Klimek, Petr] Tomas Bata Univ Zlin, Fac Management & Econ, Dept Stat & Quantitat Methods, Mostni 5139, Zlin 76001, Czech Republic
utb.fulltext.projects IGA TBU No IGA/73/FaME/10/
utb.fulltext.faculty Faculty of Management and Economics
utb.fulltext.faculty Faculty of Management and Economics
utb.fulltext.ou Department of Statistics and Quantitative Methods
utb.fulltext.ou Department of Statistics and Quantitative Methods
utb.identifier.jel C39
utb.identifier.jel C49
utb.identifier.jel C59
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