Description Usage Arguments Details Author(s) References See Also Examples
To find the maximum drawdown in a return series, we need to first calculate the cumulative returns and the maximum cumulative return to that point. Any time the cumulative returns dips below the maximum cumulative returns, it's a drawdown. Drawdowns are measured as a percentage of that maximum cumulative return, in effect, measured from peak equity.
1 |
R |
an xts, vector, matrix, data frame, timeSeries or zoo object of asset returns |
weights |
portfolio weighting vector, default NULL, see Details |
geometric |
utilize geometric chaining (TRUE) or simple/arithmetic chaining (FALSE) to aggregate returns, default TRUE |
invert |
TRUE/FALSE whether to invert the drawdown measure. see Details. |
... |
any other passthru parameters |
The option to invert
the measure should appease both
academics and practitioners. The default option
invert=TRUE
will provide the drawdown as a positive
number. This should be useful for optimization (which
usually seeks to minimize a value), and for tables (where
having negative signs in front of every number may be
considered clutter). Practitioners will argue that
drawdowns denote losses, and should be internally
consistent with the quantile (a negative number), for which
invert=FALSE
will provide the value they expect.
Individually, different preferences may apply for clarity
and compactness. As such, we provide the option, but make
no value judgment on which approach is preferable.
Peter Carl
Bacon, C. Practical Portfolio Performance Measurement
and Attribution. Wiley. 2004. p. 88
findDrawdowns
sortDrawdowns
table.Drawdowns
table.DownsideRisk
chart.Drawdown
1 2 3 4 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.