NMOF: Numerical Methods and Optimization in Finance (original) (raw)

Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). The package provides implementations of optimisation heuristics (Differential Evolution, Genetic Algorithms, Particle Swarm Optimisation, Simulated Annealing and Threshold Accepting), and other optimisation tools, such as grid search and greedy search. There are also functions for the valuation of financial instruments such as bonds and options, for portfolio selection and functions that help with stochastic simulations.

Version: 2.10-1
Depends: R (≥ 3.5)
Imports: grDevices, graphics, parallel, stats, utils
Suggests: MASS, PMwR, RUnit, Rglpk, datetimeutils, openxlsx, quadprog, readxl, tinytest, zoo
Published: 2024-11-03
DOI: 10.32614/CRAN.package.NMOF
Author: Enrico Schumann ORCID iD [aut, cre]
Maintainer: Enrico Schumann
License: GPL-3
URL: https://enricoschumann.net/NMOF.htm , https://gitlab.com/NMOF ,https://git.sr.ht/~enricoschumann/NMOF ,https://github.com/enricoschumann/NMOF
NeedsCompilation: no
Classification/JEL: C61, C63
Citation: NMOF citation info
Materials: README
In views: Finance, Optimization, ReproducibleResearch
CRAN checks: NMOF results

Documentation:

Reference manual: NMOF.pdf
Vignettes: An Overview of the NMOF Package (source, R code) Fitting the Nelson–Siegel–Svensson model with Differential Evolution (source, R code) Solving the N-Queens Problem with Local Search (source, R code) Asset selection with Local Search (source, R code) Robust Regression with Particle Swarm Optimisation and Differential Evolution (source, R code) Portfolio Optimisation with Threshold Accepting (source, R code) Functions for portfolio selection (source, R code) Examples for the qTable function (source, R code) Repairing solutions (source, R code) Vectorised objective functions (source, R code)

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