EX4.STOCKS {regclass} | R Documentation |
Stock data for Exercise 2 in Chapter 4
Description
Stock data for Exercise 2 in Chapter 4
Usage
data("EX4.STOCKS")
Format
A data frame with 216 observations on the following 41 variables.
AA
a numeric vector
AAPLlag2
a numeric vector
AXPlag2
a numeric vector
BAlag2
a numeric vector
BAClag2
a numeric vector
CATlag2
a numeric vector
CSCOlag2
a numeric vector
CVXlag2
a numeric vector
DDlag2
a numeric vector
DISlag2
a numeric vector
GElag2
a numeric vector
HDlag2
a numeric vector
HPQlag2
a numeric vector
IBMlag2
a numeric vector
INTClag2
a numeric vector
JNJlag2
a numeric vector
JPMlag2
a numeric vector
KOlag2
a numeric vector
MCDlag2
a numeric vector
MMMlag2
a numeric vector
MRKlag2
a numeric vector
MSFTlag2
a numeric vector
PFElag2
a numeric vector
PGlag2
a numeric vector
Tlag2
a numeric vector
TRVlag2
a numeric vector
UNHlag2
a numeric vector
VZlag2
a numeric vector
WMTlag2
a numeric vector
XOMlag2
a numeric vector
Australialag2
a numeric vector
Copperlag2
a numeric vector
DollarIndexlag2
a numeric vector
Europelag2
a numeric vector
Exchangelag2
a numeric vector
GlobalDowlag2
a numeric vector
HongKonglag2
a numeric vector
Indialag2
a numeric vector
Japanlag2
a numeric vector
Oillag2
a numeric vector
Shanghailag2
a numeric vector
Details
The goal is to predict the closing price of Alcoa stock (AA
) from the closing prices of other stocks and commodities two days prior (IMBlag2
, HongKonglag2
, etc.). If this were possible, and if the association between the prices continued into the future, it would be possible to use this information to make smart trades.
Source
Compiled from various sources on the internet, e.g., Yahoo historical prices.