Abstract
We prove that for continuous stochastic processes S based on (Ω,F, P) for which there is an equivalent martingale measure Q0 with square-integrable density dQ0/dP, we have that the so-called `variance-optimal' martingale measure Qopt for which the density dQopt/dP has minimal L2(P)-norm is automatically equivalent to P. The result is then applied to an approximation problem arising in mathematical finance.
Citation
Freddy Delbaen. Walter Schachermayer. "The variance-optimal martingale measure for continuous processes." Bernoulli 2 (1) 81 - 105, March 1996. https://doi.org/10.3150/bj/1193758791
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