Resample with replacement from a number of vectors; the sample will have a specified rank correlation.
numeric vectors; they need not have the same length.
an integer: the number of samples to draw
the rank correlation matrix
See Gilli, Maringer and Schumann (2011), Section 7.1.2. The function
samples with replacement from the vectors passed through
.... The resulting samples will have an (approximate) rank
correlation as specified in
The function uses the eigenvalue decomposition to generate the
correlation; it will not break down in case of a semidefinite
matrix. If an eigenvalue of
cormat is smaller than zero, a
warning is issued (but the function proceeds).
a numeric matrix with
size rows. The columns contain the
samples; hence, there will be as many columns as vectors passed
Gilli, M., Maringer, D. and Schumann, E. (2011) Numerical Methods and Optimization in Finance. Elsevier. http://www.elsevierdirect.com/product.jsp?isbn=9780123756626
Schumann, E. (2016) Financial Optimisation with R (NMOF Manual). http://enricoschumann.net/NMOF.htm#NMOFmanual
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