I'm attempting to get daily returns by using one BDH pull, but I can't seem to get it to work. I considered using quantmod's periodreturn function, but to no avail. I'd like the PctChg column populated, and any help is greatly appreciated.
GetReturns <- function(ticker, calctype, voldays) {
check.numeric <- function(N){
!length(grep("[^[:digit:]]", as.character(N)))}
isnumber <- function(x) is.numeric(x) & !is.na(x)
startdate <- Sys.Date()-20
enddate <- Sys.Date()
###############
GetData <- BBGPull <- bdh(paste(ticker," US EQUITY"), c("Open","High","Low","PX_Last"), startdate, enddate,
include.non.trading.days = FALSE, options = NULL, overrides = NULL,
verbose = FALSE, identity = NULL, con = defaultConnection())
##Clean Up Columns and Remove Ticker
colnames(GetData) <- c("Date","Open","High","Low","Close")
GetData[,"PctChg"] <- "RETURN" ##Hoping to populate this column with returns
GetData
}
I'm not married to the idea of using quantmod, and even would use LN(T/T-1) but im just unsure how to add a column with this data. Thank you !
You missed the (important) fact that bdh() still returns a data.frame object you need to transform first:
R> library(Rblpapi)
Rblpapi version 0.3.5 using Blpapi headers 3.8.8.1 and run-time 3.8.8.1.
Please respect the Bloomberg licensing agreement and terms of service.
R> spy <- bdh("SPY US EQUITY", c("Open","High","Low","PX_Last"), \
+ Sys.Date()-10, Sys.Date())
R> class(spy)
[1] "data.frame"
R> head(spy)
date Open High Low PX_Last
1 2016-12-05 220.65 221.400 220.420 221.00
2 2016-12-06 221.22 221.744 220.662 221.70
3 2016-12-07 221.52 224.670 221.380 224.60
4 2016-12-08 224.57 225.700 224.260 225.15
5 2016-12-09 225.41 226.530 225.370 226.51
6 2016-12-12 226.40 226.960 225.760 226.25
R> sx <- xts(spy[, -1], order.by=spy[,1])
R> colnames(sx)[4] <- "Close" ## important
R> sxret <- diff(log(Cl(sx)))
R> head(sxret)
Close
2016-12-05 NA
2016-12-06 0.00316242
2016-12-07 0.01299593
2016-12-08 0.00244580
2016-12-09 0.00602225
2016-12-12 -0.00114851
R> sxret <- ClCl(sx) ## equivalent shorthand using quantmod
This also uses packages xts and quantmod without explicitly loading them.