fundData

<p>A matrix of 500 rows (return scenarios) and 200 columns (mutual
funds). The elements in the matrix are weekly returns.</p>

datasets

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.

Enrico Schumann

NMOF

fundData: Mutual Fund Returns

Description

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Examples