Raw2Cumul: Transforms raw moments into cumulants

Description Usage Arguments Details Value Author(s) References

Description

Step 3 of the projection process: From the non-central moments of X-t, we compute the cumulants.

Usage

1
  Raw2Cumul(mu_)

Arguments

mu_

: [vector] (length N corresponding to order N) corresponding raw moments

Details

This process follows from the Taylor approximations for any small z and ln(1+x)~x for any small x, and from the definition of the first cumulant in (17). The we apply recursively the identity in formula (21). See Kendall and Stuart (1969)

κ^{ \big(n\big) }_{X} \equiv \tilde{ μ } ^{ \big(n\big) }_{X} - ∑_{k=1}^{n-1} (n-1)C_{k-1} κ_{X}^{ \big(k\big) } \tilde{ μ } ^{n-k}_{X}

Value

ka : [vector] (length N corresponding to order N) cumulative moments

Author(s)

Ram Ahluwalia rahluwalia@gmail.com

References

A. Meucci - "Annualization and General Projection of Skewness, Kurtosis and All Summary Statistics" - formula (21) Symmys site containing original MATLAB source code http://www.symmys.com/node/136

A. Meucci - "Exercises in Advanced Risk and Portfolio Management" http://symmys.com/node/170. See Meucci's script for "Raw2Cumul.m"


R-Finance/Meucci documentation built on May 8, 2019, 3:52 a.m.