Stimuli
The first file
is a "dump" file of the prices as used.
`periode` int(11) NOT NULL default '0', //the period
`jan` int(11) NOT NULL default '0', //the rescaled prices on the first trading day of that January; etc.
`feb` int(11) NOT NULL default '0',
`mrt` int(11) NOT NULL default '0',
`apr` int(11) NOT NULL default '0',
`mei` int(11) NOT NULL default '0',
`jun` int(11) NOT NULL default '0',
`jul` int(11) NOT NULL default '0',
`aug` int(11) NOT NULL default '0',
`sep` int(11) NOT NULL default '0',
`okt` int(11) NOT NULL default '0',
`nov` int(11) NOT NULL default '0',
`decem` int(11) NOT NULL default '0',
`jan2` int(11) NOT NULL default '0', //the rescaled prices next year January
`ond` int(11) NOT NULL default '0', //lower bound and
`bov` int(11) NOT NULL default '0', //upper bound of grey block (of which subjects had to estimate if Jan2 would be contained)
Next 100 periods: the first 4 are not relevant (not used in the analysis, serving only to familiarize with stimuli); then 3 times 32 for the 32 stocks.
The second file
is an excel file used to construct these prices. The upper row contains the names of the 32 stocks (aalberts, aegon, and so on), of which the minimum and maximum has been determined as well as the difference between them. The prices have subsequently been scaled and rounded to an integer. For example for Aalberts we get to see the prices 29-31-28-38-44-50 and the price to be predicted is jan2=13.
Relevant for others may be the 32 names (row 1) and then the fact that this concerns 1990 (the prediction concerning the first trading day of 1991).
Last updated: August 11, 2009