A note on the use of the Box-Cox transformation for financial data
Dimitrios Kartsonakis-Mademlis and
Nikolaos Dritsakis
International Journal of Computational Economics and Econometrics, 2020, vol. 10, issue 4, 419-422
Abstract:
This paper tests whether the Box-Cox transformation reduces the problem of non-normality in financial data.
Keywords: ARIMA models; Box-Cox transformation; Box-Jenkins methodology; normality; stock market; oil prices. (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=110755 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijcome:v:10:y:2020:i:4:p:419-422
Access Statistics for this article
More articles in International Journal of Computational Economics and Econometrics from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().