Diffusion models in ESGtoolkit + announcements
R-bloggers 2023-10-02
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Contents
- 1 – news
- 2 – examples
1 – news
Version 0.6.2 of ESGtoolkit is now available:
It is now possible to use Hermite cubic spline and Smith-Wilson methods for yield curve interpolation.
Starting with version 1.0.0, the next version, ESGtoolkit will be renamed as esgtoolkit or something similar, as I’m removing all my packages from CRAN.
A Python version of esgtoolkit will also be available soon on Techtonique.
2 – examples
Single curve
library(ESGtoolkit)# Yield to maturitiestxZC <- c(0.01422,0.01309,0.01380,0.01549,0.01747,0.01940,0.02104,0.02236,0.02348, 0.02446,0.02535,0.02614,0.02679,0.02727,0.02760,0.02779,0.02787,0.02786,0.02776 ,0.02762,0.02745,0.02727,0.02707,0.02686,0.02663,0.02640,0.02618,0.02597,0.02578,0.02563)# Observed time to maturitiesu <- 1:30par(mfrow=c(2,2))fwd1 <- ESGtoolkit::esgfwdrates(in.maturities = u, in.zerorates = txZC, n = 10, horizon = 20, out.frequency = "semi-annual", method = "fmm")matplot(as.vector(time(fwd1)), fwd1, type = 'l', main = "Forward rates with \n fmm", xlab = "time to maturity", ylab = "forward rates")fwd2 <- ESGtoolkit::esgfwdrates(in.maturities = u, in.zerorates = txZC, n = 10, horizon = 20, out.frequency = "semi-annual", method = "SW")matplot(as.vector(time(fwd2)), fwd2, type = 'l', main = "Forward rates with \n Smith-Wilson", xlab = "time to maturity", ylab = "forward rates")fwd3 <- ESGtoolkit::esgfwdrates(in.maturities = u, in.zerorates = txZC, n = 10, horizon = 20, out.frequency = "semi-annual", method = "HCSPL")matplot(as.vector(time(fwd2)), fwd3, type = 'l', main = "Forward rates with \n Hermite cubic spline", xlab = "time to maturity", ylab = "forward rates")fwd4 <- ESGtoolkit::esgfwdrates(in.maturities = u, in.zerorates = txZC, n = 10, horizon = 20, out.frequency = "semi-annual", method = "hyman")matplot(as.vector(time(fwd4)), fwd4, type = 'l', main = "Forward rates with \n Hyman method", xlab = "time to maturity", ylab = "forward rates")
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