code.dir <- Sys.getenv("CODE_DIR") library(logging) source(file.path(code.dir, "R", "yieldcurve.R")) source(file.path(code.dir, "R", "optimization.R")) source(file.path(code.dir, "R", "calibration.R"), chdir=TRUE) source(file.path(code.dir, "R", "serenitasdb.R")) source(file.path(code.dir, "R", "creditIndex.R")) source(file.path(code.dir, "R", "tranche_functions.R")) zerorecov.pv <- function(portfolio, cs, tradedate=Sys.Date()) { startdate <- tradedate + 1 zerorecov.portfolio <- lapply(portfolio, function(x) {x@recovery=0;return(x)}) pl.list <- vapply(zerorecov.portfolio, function(x) { pl <- defaultleg(cs, x@curve, x@recovery, startdate, TRUE) if(is.na(pl)) { cat("couldn't compute single name protection leg for", x@issuer, "\n") return( NA ) } return( pl ) }, numeric(1)) return( mean(pl.list) ) } delta <- function(index, tradedate=Sys.Date()) { old.pv.zerorecov <- zerorecov.pv(index$portfolio, index$cs, tradedate) old.pv.index <- indexpv(index, tradedate=tradedate)$bp new.pv.zerorecov <- zerorecov.pv(tweakportfolio(index$portfolio, 0.01), index$cs, tradedate) new.pv.index <- indexpv(index, 0.01, tradedate=tradedate)$bp return( -(new.pv.zerorecov-old.pv.zerorecov) / (new.pv.index - old.pv.index) ) } ##HY tradedate <- as.Date("2017-04-04") exportYC(tradedate, "USD") index <- creditIndex("HY28", "5yr") index <- set.index.desc(index, tradedate) index$cs <- couponSchedule(IMMDate(tradedate, noadj=TRUE), index$maturity, "Q", "FIXED", 1, 0, tradedate, IMMDate(tradedate, "prev")) index$quotes <- data.frame(maturity=as.Date("2022-06-20"), spread=0.05, price=1.0716) upfront <- c() for(R in seq(0.2, 0.45, 0.01)) { index <- set.singlenamesdata(index, tradedate, R) tweak <- tweakcurves(index) upfront <- c(upfront, zerorecov.pv(tweak$portfolio, index$cs, tradedate)) } ##ITRX tradedate <- as.Date("2017-04-05") exportYC(tradedate, "EUR") index <- creditIndex("XO27", "5yr") index <- set.index.desc(index, tradedate) index$cs <- couponSchedule(IMMDate(tradedate, noadj=TRUE), index$maturity, "Q", "FIXED", 1, 0, tradedate, IMMDate(tradedate, "prev")) index$quotes <- data.frame(maturity=as.Date("2022-06-20"), spread=0.05, price=1.095) upfront <- c() for(R in seq(0.2, 0.45, 0.01)) { index <- set.singlenamesdata(index, tradedate, R) tweak <- tweakcurves(index) upfront <- c(upfront, zerorecov.pv(tweak$portfolio, index$cs, tradedate)) } plot(seq(0.2, 0.45, 0.01), upfront, type="l", xlab="recovery")