NMOF
Numerical Methods and Optimization in Finance
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.
- https://enricoschumann.net/NMOF.htm
- https://gitlab.com/NMOF
- https://git.sr.ht/~enricoschumann/NMOF
- GitHub
- NMOF results
- NMOF.pdf
- Version2.10-1
- R version≥ 3.5
- LicenseGPL-3
- Needs compilation?No
- NMOF citation info
- Last release11/03/2024
Documentation
- VignetteAn Overview of the NMOF Package
- Vignettesource
- VignetteR code
- VignetteFitting the Nelson–Siegel–Svensson model with Differential Evolution
- Vignettesource
- VignetteR code
- VignetteSolving the N-Queens Problem with Local Search
- Vignettesource
- VignetteR code
- VignetteAsset selection with Local Search
- Vignettesource
- VignetteR code
- VignetteRobust Regression with Particle Swarm Optimisation and Differential Evolution
- Vignettesource
- VignetteR code
- VignettePortfolio Optimisation with Threshold Accepting
- Vignettesource
- VignetteR code
- VignetteFunctions for portfolio selection
- Vignettesource
- VignetteR code
- VignetteExamples for the qTable function
- Vignettesource
- VignetteR code
- VignetteRepairing solutions
- Vignettesource
- VignetteR code
- VignetteVectorised objective functions
- Vignettesource
- VignetteR code
- MaterialREADME
- MaterialNEWS
- In ViewsFinance
- In ViewsOptimization
- In ViewsReproducibleResearch
Team
Enrico Schumann
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- Depends1 package
- Imports4 packages
- Suggests10 packages
- Reverse Imports4 packages
- Reverse Suggests2 packages