Description Usage Arguments Value Author(s) References See Also Examples
Calculates total attribution effects over multiple
periods using logarithmic linking method. Used internally
by the Attribution
function. Arithmetic
attribution effects do not naturally link over time. This
function uses logarithmic smoothing to adjust attribution
effects so that they can be summed up over multiple
periods. Attribution effect are multiplied by the
adjustment factor:
At' = At * kt / k
where
k_{t} = \frac{log(1 + R_{pt}) - log(1 + R_{bt})}{R_{pt} - R_{bt}}
k = \frac{log(1 + R_{p}) - log(1 + R_{b})}{R_{p} - R_{b}}
In case if portfolio and benchmark returns are equal:
kt = 1 / (1 + Rpt)
where At' - adjusted attribution effects at period t, At - unadjusted attribution effects at period t, Rpt - portfolio returns at period t, Rbt - benchmark returns at period t, Rp - total portfolio returns, Rb - total benchmark returns, n - number of periods The total arithmetic excess returns can be explained in terms of the sum of adjusted attribution effects:
R_{p} - R_{b} = ∑^{n}_{t=1}≤ft(Allocation_{t}+Selection_{t}+ Interaction_{t}\right)
1 | Carino(rp, rb, attributions, adjusted)
|
rp |
xts of portfolio returns |
rb |
xts of benchmark returns |
attributions |
xts with attribution effects |
adjusted |
TRUE/FALSE, whether to show original or smoothed attribution effects for each period |
returns a data frame with original attribution effects and total attribution effects over multiple periods
Andrii Babii
Christopherson, Jon A., Carino, David R., Ferson, Wayne
E. Portfolio Performance Measurement and
Benchmarking. McGraw-Hill. 2009. Chapter 19
Bacon,
C. Practical Portfolio Performance Measurement and
Attribution. Wiley. 2004. p. 191-193
Carino, D.
(1999) Combining attribution effects over time.
The Journal of Performance Measurement. Summer. p. 5-14
Attribution
Menchero
Grap
Frongello
Attribution.geometric
1 2 | data(attrib)
Carino(rp = attrib.returns[, 21], rb = attrib.returns[, 22], attributions = attrib.allocation, adjusted = FALSE)
|
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