ch09data {FinTS} | R Documentation |
financial time series for Tsay (2005, chapter 9[text])
Description
Financial time series used in examples in chapter 9.
Usage
data(m.fac9003)
data(m.cpice16.dp7503)
data(m.barra.9003)
data(m.5cln)
#data(m.bnd) <- documented with ch08, also used in ch09
data(m.apca0103)
Format
m.fac9003a zoo object of 168 observations giving simple excess returns of 13
stocks and the Standard and Poor's 500 index over the monthly series
of three-month Treasury bill rates of the secondary market as the
risk-free rate from January 1990 to December 2003. (These numbers
are used in Table 9.1.)
- AA
- Alcoa
- AGE
- A. G. Edwards
- CAT
- Caterpillar
- F
- Ford Motor
- FDX
- FedEx
- GM
- General Motors
- HPQ
- Hewlett-Packard
- KMB
- Kimberly-Clark
- MEL
- Mellon Financial
- NYT
- New York Times
- PG
- Proctor & Gamble
- TRB
- Chicago Tribune
- TXN
- Texas Instruments
- SP5
- Standard & Poor's 500 index
m.cpice16.dp7503a zoo object of 168 monthly on two macroeconomic variables from
January 1975 through December 2002 (p. 412):
- CPI
- consumer price index for all urban consumers: all items and
with index 1982-1984 = 100
- CE16
- Civilian employment numbers 16 years and over: measured in
thousands
m.barra.9003a zoo object giving monthly excess returns of ten stocks from
January 1990 through December 2003:
- AGE
- A. G. Edwards
- C
- Citigroup
- MWD
- Morgan Stanley
- MER
- Merrill Lynch
- DELL
- Dell, Inc.
- IBM
- International Business Machines
- AA
- Alcoa
- CAT
- Caterpillar
- PG
- Proctor & Gamble
m.5clna zoo object giving monthly log returns in percentages of 5 stocks
from January 1990 through December 1999:
- IBM
- International Business Machines
- HPQ
- Hewlett-Packard
- INTC
- Intel
- MER
- Merrill Lynch
- MWD
- Morgan Stanley Dean Witter
m.apca0103data.frame of monthly simple returns of 40 stocks from January 2001
through December 2003, discussed in sect. 9.6.2, pp. 437ff.
- CompanyID
- 5-digit company identification code
- date
- the last workday of the month
- return
- in percent
Source
http://faculty.chicagogsb.edu/ruey.tsay/teaching/fts2
References
Ruey Tsay (2005)
Analysis of Financial Time Series, 2nd ed. (Wiley, ch. 7)
See Also
ch01data
ch02data
ch03data
ch04data
ch05data
ch06data
Examples
data(m.apca0103)
dim(m.apca0103)
# 1440 3; 1440 = 40*36
# Are the dates all the same?
sameDates <- rep(NA, 39)
for(i in 1:39)
sameDates[i] <- with(m.apca0103, all.equal(date[1:36],
date[(i*36)+1:36]))
stopifnot(all(sameDates))
M.apca0103 <- with(m.apca0103, array(return, dim=c(36, 40), dimnames=
list(NULL, paste("Co", CompanyID[seq(1, 1440, 36)], sep=""))))
[Package
FinTS version 0.3-6
Index]