Calculation of the CPPI value at any time t in the period [0,T]
Submitted by loner on 16 June, 2007 - 12:57am
Bertrand and Prigent, while analysing and comparing two portfolio insurance methods, derive the value of a CPPI value at any time t in the period [0,T] as
![]() |
Full proof below:
The value at
of the CPPI portfolio is given by
.
Recall that
,
and
, where
is a fixed constant, called a multiplier. Thus, the cushion value
must satisfy:
![]() |
Thus:
. By using the relation:
, it can be deduced that:
.
Substituting this expression for
into the expression for
leads to:
![]() |
where
and
.
The portfolio value is then obtained:
![]() |
| Attachment | Size |
|---|---|
| Portfolio Insurance Strategies - OBPI versus CPPI.pdf | 337.4 KB |
What did I say then?
The Rich Boys | Business Week (6 years 30 weeks ago):
An ultra-secretive network rules independent oil trading. Its mentor: Marc Rich
....

![\[<br />
V_{t}^{CPPI}\left(m,S_{t}\right)=F_{0}e^{rt}+\alpha_{t}S_{t}^{m}\]](/portal/files/tex/d6115655f4497e21c8a4394f9fc458633fd5e24e.png)
![\[<br />
\begin{array}{ccc}<br />
dC_{t} & = & d\left\left(V_{t}-F_{t}\right)\left\\<br />
& = & \left(V_{t}-e_{t}\right)\frac{dB_{t}}{B_{t}}+e_{t}\frac{dS_{t}}{S_{t}}-dF_{t}\\<br />
& = & \left(C_{t}+F_{t}-mC_{t}\right)\frac{dB_{t}}{B_{t}}+mC_{t}\frac{dS_{t}}{S_{t}}-dF_{t}\\<br />
& = & \left(C_{t}-mC_{t}\right)\frac{dB_{t}}{B_{t}}+mC_{t}\frac{dS_{t}}{S_{t}}\\<br />
& = & C_{t}\left[\left(m\left(\mu-r\right)+r\right)dt+m\sigma dW_{t}\right]\end{array}\]](/portal/files/tex/5552e54db63bb0042bae7d245e1ea08d4309ba32.png)
![\[<br />
\begin{array}{ccc}<br />
C_{t}\left(m,S_{t}\right) & = & C_{0}\left(\frac{S_{t}}{S_{0}}\right)^{m}\exp\left[\left(r-m\left(r-\frac{1}{2}\sigma^{2}\right)-\frac{m^{2}}{2}\sigma^{2}\right)t\right]\\<br />
& = & \alpha_{t}S_{t}^{m}\end{array}\]](/portal/files/tex/d69b4dd81701ff2a9fdd0aea6fd81e447ae18485.png)