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
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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:
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Thus:
. By using the relation:
, it can be deduced that:
.
Substituting this expression for
into the expression for
leads to:
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where
and
.
The portfolio value is then obtained:
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| Attachment | Size |
|---|---|
| Portfolio Insurance Strategies - OBPI versus CPPI.pdf | 337.4 KB |

![\[<br />
V_{t}^{CPPI}\left(m,S_{t}\right)=F_{0}e^{rt}+\alpha_{t}S_{t}^{m}\]](/portal/files/tex/d6bc9b64824506b714a9f01124cc9e63d73f20bd.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/c7797a1ecf73dab53f5a7baf0aeda906f278a011.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/50f0267064dc3c3654adc82f5a2e943644a1bd31.png)