An edited version of the data set based on Barra GEM2 data set in year 2010.
data(year)
A data frame with 36000 observations on the following 15 variables.
barrid
barra id for a security
name
name of a security
return
a numeric vector
date
a Date
sector
an ordered factor with levels Energy
< Materials
< Industrials
< ConDiscre
< ConStaples
< HealthCare
< Financials
< InfoTech
< TeleSvcs
< Utilities
momentum
a numeric vector
value
a numeric vector
size
a numeric vector
growth
a numeric vector
cap.usd
a numeric vector
yield
a numeric vector
country
a factor with levels ARE
ARG
AUS
AUT
BEL
BHR
BRA
CAN
CHE
CHL
CHN
CHX
COL
CZE
DEU
DNK
EGY
ESP
FIN
FRA
GBR
GRC
HKG
HUN
IDN
IND
IRL
ISR
ITA
JOR
JPN
KOR
KWT
MAR
MEX
MYS
NLD
NOR
NZL
OMN
PAK
PER
PHL
POL
PRT
QAT
RUS
SAU
SGP
SWE
THA
TUR
TWN
USA
ZAF
currency
a factor with levels AREC
ARGC
AUSC
BHRC
BRAC
CANC
CHEC
CHLC
CHNC
COLC
CZEC
DNKC
EGYC
EMUC
GBRC
HKGC
HUNC
IDNC
INDC
ISRC
JORC
JPNC
KORC
KWTC
MARC
MEXC
MYSC
NORC
NZLC
OMNC
PAKC
PERC
PHLC
POLC
QATC
RUSC
SAUC
SGPC
SWEC
THAC
TURC
TWNC
USAC
ZAFC
portfolio
a numeric vector
benchmark
a numeric vector
year
contains all the information necessary to conduct a
multi-period Brinson analysis. date.var
, cat.var
, and
return
identify the columns containing the date, the factor to
be analyzed, and the return variable,
respectively. bench.weight
and portfolio.weight
specify
the name of the benchmark weight column and that of the portfolio
weight column in the data frame.