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Another view on martingale central limit theorems

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  • Gaenssler, Peter
  • Joos, Konrad

Abstract

Based on the martingale version of the Skorokhod embedding Heyde and Brown (1970) established a bound on the rate of convergence in the central limit theorem (CLT) for discrete time martingales having finite moments of order 2+2[delta] with 0 0 was proved in Haeusler (1988). This paper presents a rather quick access based solely on truncation, optional stopping, and prolongation techniques for martingale difference arrays to obtain other upper bounds for sup ([phi]being the standard normal d.f.) yielding weak sufficient conditions for the asymptotic normality of . It is shown that our approach also yields two types of martingale central limit theorems with random norming.

Suggested Citation

  • Gaenssler, Peter & Joos, Konrad, 1992. "Another view on martingale central limit theorems," Stochastic Processes and their Applications, Elsevier, vol. 40(2), pages 181-197, March.
  • Handle: RePEc:eee:spapps:v:40:y:1992:i:2:p:181-197
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    Cited by:

    1. Biqing Cai & Jiti Gao & Dag Tjøstheim, 2017. "A New Class of Bivariate Threshold Cointegration Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(2), pages 288-305, April.

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