Kramkov's optional decomposition theorem explained
with respect to a family of
equivalent martingale measures into the form
Vt=V0+(H ⋅ X)t-Ct, t\geq0,
where
is an
adapted (or optional) process.
The theorem is of particular interest for financial mathematics, where the interpretation is:
is the wealth process of a
trader,
is the gain/loss and
the consumption process.
The theorem was proven in 1994 by Russian mathematician Dmitry Kramkov.[1] The theorem is named after the Doob-Meyer decomposition but unlike there, the process
is no longer
predictable but only adapted (which, under the condition of the statement, is the same as dealing with an optional process).
Kramkov's optional decomposition theorem
Let
(\Omega,l{A},\{l{F}t\},P)
be a filtered probability space with the filtration satisfying the usual conditions.
A
-dimensional process
is
locally bounded if there exist a sequence of
stopping times
such that
almost surely if
and
for
and
.
Statement
Let
be
-dimensional
càdlàg (or RCLL) process that is locally bounded. Let
be the space of equivalent local martingale measures for
and
without loss of generality let us assume
.
Let
be a positive stochastic process then
is a
-supermartingale for each
if and only if there exist an
-integrable and predictable process
and an adapted increasing process
such that
Vt=V0+(H ⋅ X)t-Ct, t\geq0.
[2] [3] Commentary
The statement is still true under change of measure to an equivalent measure.
References
- Dimitri O.. Kramkov. Optional decomposition of supermartingales and hedging contingent claims in incomplete security markets. Probability Theory and Related Fields. 105. 459–479. 1996. 10.1007/BF01191909. free.
- Dimitri O.. Kramkov. Optional decomposition of supermartingales and hedging contingent claims in incomplete security markets. Probability Theory and Related Fields. 105. 461. 1996. 10.1007/BF01191909. free.
- Book: The Mathematics of Arbitrage. Freddy. Delbaen. Walter. Schachermayer. 2006. Springer Berlin. Heidelberg. 31.