TY - JOUR
T1 - The Root solution to the multi-marginal embedding problem
T2 - an optimal stopping and time-reversal approach
AU - Cox, Alexander M.G.
AU - Obłój, Jan
AU - Touzi, Nizar
N1 - Publisher Copyright:
© 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2019/2/4
Y1 - 2019/2/4
N2 - We provide a complete characterisation of the Root solution to the Skorokhod embedding problem (SEP) by means of an optimal stopping formulation. Our methods are purely probabilistic and the analysis relies on a tailored time-reversal argument. This approach allows us to address the long-standing question of a multiple marginals extension of the Root solution of the SEP. Our main result establishes a complete solution to the n-marginal SEP using first hitting times of barrier sets by the time–space process. The barriers are characterised by means of a recursive sequence of optimal stopping problems. Moreover, we prove that our solution enjoys a global optimality property extending the one-marginal Root case. Our results hold for general, one-dimensional, martingale diffusions.
AB - We provide a complete characterisation of the Root solution to the Skorokhod embedding problem (SEP) by means of an optimal stopping formulation. Our methods are purely probabilistic and the analysis relies on a tailored time-reversal argument. This approach allows us to address the long-standing question of a multiple marginals extension of the Root solution of the SEP. Our main result establishes a complete solution to the n-marginal SEP using first hitting times of barrier sets by the time–space process. The barriers are characterised by means of a recursive sequence of optimal stopping problems. Moreover, we prove that our solution enjoys a global optimality property extending the one-marginal Root case. Our results hold for general, one-dimensional, martingale diffusions.
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U2 - 10.1007/s00440-018-0833-1
DO - 10.1007/s00440-018-0833-1
M3 - Article
AN - SCOPUS:85041904536
SN - 0178-8051
VL - 173
SP - 211
EP - 259
JO - Probability Theory and Related Fields
JF - Probability Theory and Related Fields
IS - 1-2
ER -