Infinitely many Martingale Equivalent Measures:

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Question:

Let $(\Omega,\mathcal F,\mathbb P)$ be a probability space.

Let $Y_t=(Y_1(t),Y_2(t))$ be the solution to the SDE:

$dY_1=\beta_1dt+dB1+2dB2+3dB3$

$dY_2=\beta_2dt+dB1+2dB2+2dB3$

Where $\beta_{1,2}$ are bounded , $B1,B2,B3$ Brownian motions.

Prove that there are infinitely many equivalent martingale measures adapted to the filtration.

My Idea:

I want to use Radon Nikodym to establish the existence of measure change $Z=dQ/dP$

Then to use Girsanov's theorem to show that this could be done so Q is an equivalent martingale measure.

Then I want to apply this to the fact that the system have infinitely many solutions

My questions:

a. Is this method correct?

b. Is the system of 2 equations with 5 variables and so has infinitely many solutions?

c.Or maybe it is the lack of boundary condition the gives the system infinitely many solutions?