We prove that for locally bounded processes, the absence of arbitrage of the
first kind is equivalent to the existence of a dominating local martingale
measure. This is related to results from the theory of filtration enlargements.
In this paper we consider a class of BSDEs with drivers of quadratic growth,
on a stochastic basis generated by continuous local martingales. We first
derive the Markov property of a forward-backward system (FBSDE) if the
generating martingale is a strong Markov process. Then we establish the
differentiability of a FBSDE with respect to the initial value of its forward
component. This enables us to obtain the main result of this article, namely a
representation formula for the control component of its solution.
We consider the problem of numerical approximation for forward-backward
stochastic differential equations with drivers of quadratic growth (qgFBSDE).
To illustrate the significance of qgFBSDE, we discuss a problem of cross
hedging of an insurance related financial derivative using correlated assets.
For the convergence of numerical approximation schemes for such systems of
stochastic equations, path regularity of the solution processes is
instrumental. We present a method based on the truncation of the driver, and
explicitly exhibit error estimates as functions of the truncation height.
We consider backward stochastic differential equations with drivers of
quadratic growth (qgBSDE). We prove several statements concerning path
regularity and stochastic smoothness of the solution processes of the qgBSDE,
in particular we prove an extension of Zhang's path regularity theorem to the
quadratic growth setting. We give explicit convergence rates for the difference
between the solution of a qgBSDE and its truncation, filling an important gap
in numerics for qgBSDE.