Drawdown Average. For every time moment, j=1,...J ,  portfolio drawdown = d(j) =  maxn ((uncompounded cumulative portfolio return at time moment n ) - (uncompounded cumulative portfolio return at time moment  j )). Drawdown Deviation  = average of components of the vector (d(1), ..., d(J)) .

 

Syntax

drawdown_dev_avg(matrix)

short call

drawdown_dev_avg_name(matrix)

call with optional name

 

Parameters

matrix        is a Matrix of Scenarios:

       

where the header row contains names of variables (except scenario_probability, and scenario_benchmark). Other rows contain numerical data. The scenario_probability, and scenario_benchmark columns are optional.

 

Mathematical Definition

Drawdown Average function is calculated as follows

,

where:

,

are scenarios for Gain Function (See section Loss and Gain Functions)

is an argument of Drawdown Average function.

 

Example

Calculation in Run-File Environment
Calculation in MATLAB Environment

 

Case Studies with Drawdown Average

Portfolio Optimization with Drawdown Constraints on a Single Path

 

See also

CDaR, CDaR for Gain, Drawdown  Maximum, Drawdown  Maximum for Gain, Drawdown  Average for Gain, CDaR Multiple, CDaR for Gain Multiple, Drawdown  Maximum Multiple, Drawdown  Maximum for Gain Multiple, Drawdown  Average Multiple, Drawdown  Average for Gain Multiple