Nothing
## ---- include = FALSE---------------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
out.width = "100%"
)
## ----message=FALSE, warning=FALSE---------------------------------------------
library(rb3)
library(dplyr)
library(fixedincome)
## -----------------------------------------------------------------------------
refdate <- as.Date("2022-08-05")
yc_ <- yc_get(refdate)
fut_ <- futures_get(refdate)
yc_ss <- yc_superset(yc_, fut_)
yc <- bind_rows(
yc_ss |> slice(1),
yc_ss |> filter(!is.na(symbol))
) |>
filter(!duplicated(biz_days))
yc
## -----------------------------------------------------------------------------
sp_curve <- spotratecurve(
yc$r_252, yc$biz_days,
"discrete", "business/252", "Brazil/ANBIMA",
refdate = refdate
)
sp_curve
## -----------------------------------------------------------------------------
interpolation(sp_curve) <- interp_flatforward()
sp_curve
## -----------------------------------------------------------------------------
sp_curve[[c(21, 42, 63)]]
## -----------------------------------------------------------------------------
interpolation(sp_curve) <- interp_naturalspline()
sp_curve[[c(21, 42, 63)]]
## -----------------------------------------------------------------------------
interpolation(sp_curve) <- NULL
sp_curve[[c(21, 42, 63)]]
## ----fig.width=10, fig.height=5-----------------------------------------------
interpolation(sp_curve) <- interp_flatforward()
plot(sp_curve, use_interpolation = TRUE)
## ----fig.width=10, fig.height=5-----------------------------------------------
interpolation(sp_curve) <- NULL
plot(sp_curve, show_forward = TRUE, legend_location = "bottomright")
## ----fig.width=10, fig.height=5-----------------------------------------------
interpolation(sp_curve) <- interp_flatforward()
plot(sp_curve, use_interpolation = TRUE, show_forward = TRUE, legend_location = "bottomright")
## ----fig.width=10, fig.height=5-----------------------------------------------
interpolation(sp_curve) <- interp_naturalspline()
plot(sp_curve, use_interpolation = TRUE, show_forward = TRUE, legend_location = "bottomright")
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