Description Usage Arguments Value Examples
View source: R/slpi_strategy.R
Implements SLPI strategy for commodity price risk management
1 |
q |
numeric value for quantity to be hedged, either positive (net buyer) or negative (net seller) |
tdate |
date vector with trading days |
f |
numeric futures price vector |
tper |
numeric target price markup/down to the price on the first trading day |
tcost |
numeric transaction costs pr unit |
int |
TRUE/FALSE integer restriction on tradable volume |
instance of the SLPI class
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | # SLPI for a buyer (seller), where stop loss is set 10% above (below) initial market price.
set.seed(5)
# GBM price process parameters
mu <- 0.2
sigma <- 0.1
S0 <- 100
# time
Y <- 2
N <- 500
delta <- Y/N
t <- seq (0, 1, length = N + 1)
# price process and date vector
W <- c(0, cumsum ( sqrt(delta) * rnorm (N)))
f_gbm <- S0 * exp(mu * t + sigma * W)
tr_dates <- seq(Sys.Date(), Sys.Date()+500, by = "day")
# implement stop-loss strategy for buyer
slpi_b <- slpi(q = 10,
tdate = tr_dates,
f = f_gbm,
tper = 0.1,
tcost = 0,
int = TRUE)
# implement stop-loss strategy for seller
slpi_s <- slpi(q = - 10,
tdate = tr_dates,
f = f_gbm,
tper = - 0.1,
tcost = 0,
int = TRUE)
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