The Components of Accounting Ratios as Co-integrated Variables
Time series of accounting variables may often be non-stationary, i.e. they have a unit root, as in the common example of a random walk. This can lead to spurious results in time series regression analysis which uses such variables. The problem is overcome if the variables are co-integrated. This paper examines and tests the proposition that, where the variables are expressed in logarithmic form, calculating a ratio may capture the effects of co-integration. Thus, accounting ratios (calculated in logarithmic form) might be stationary, and therefore exempt from the econometric pathology associated with their component variables. Copyright Blackwell Publishers Ltd 1999.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 26 (1999-11)
Issue (Month): 9-10 ()
|Contact details of provider:|| Web page: http://www.blackwellpublishing.com/journal.asp?ref=0306-686X|
|Order Information:||Web: http://www.blackwellpublishing.com/subs.asp?ref=0306-686X|