Consider a sequence of partial sums , $1\leq i\leq nS_0=0\xi_1,\dots,\xi_n$ are random vectors in , . We are interested in the properties of the convex hull . Assuming that the tuple is exchangeable and a certain general position condition holds, we prove that the expected number of -dimensional faces of is given by the formula for all , where and are Stirling numbers of the first and second kind, respectively. Further, we compute explicitly the probability that for given indices $0\leq i_1<\dots <i_{k+1}\leq nS_{i_1},\dots,S_{i_{k+1}}k(S_0,S_1,\dots,S_n)$. This is done in two different settings: for random walks with symmetrically exchangeable increments and for random bridges with exchangeable increments. These results generalize the classical one-dimensional discrete arcsine law for the position of the maximum due to E. Sparre Andersen. All our formulae are distribution-free, that is do not depend on the distribution of the increments ’s. The main ingredient in the proof is the computation of the probability that the origin is absorbed by a joint convex hull of several random walks and bridges whose increments are invariant with respect to the action of direct product of finitely many reflection groups of types and . This probability, in turn, is related to the number of Weyl chambers of a product-type reflection group that are intersected by a linear subspace in general position.

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