Abstract
Let\(\chi _0^n = \left\{ {X_t } \right\}_0^n \) be a martingale such that 0≦Xi≦1;i=0, …,n. For 0≦p≦1 denote by ℳ n p the set of all such martingales satisfying alsoE(X0)=p. Thevariation of a martingale χ n0 is denoted byV n0 and defined by\(V(\chi _0^n ) = E\left( {\sum {_{l = 0}^{n - 1} } \left| {X_{l + 1} - X_l } \right|} \right)\). It is proved that
, where ϕ(p) is the well known normal density evaluated at itsp-quantile, i.e.
. A sequence of martingales χ n0 ,n=1,2, … is constructed so as to satisfy\(\lim _{n \to \infty } (1/\sqrt n )V(\chi _0^n ) = \phi (p)\).
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Mertens, JF., Zamir, S. The maximal variation of a bounded martingale. Israel J. Math. 27, 252–276 (1977). https://doi.org/10.1007/BF02756487
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DOI: https://doi.org/10.1007/BF02756487