Mis-Specification in the Estimation of the Expected Rescaled Adjusted Range Statistic: The Case Versus Peters

Craig Ellis
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Craig Ellis: School of Economics and Finance, University of Western Sydney

No 69, Working Paper Series from Finance Discipline Group, UTS Business School, University of Technology, Sydney

Abstract: Rescaled range analysis has in recent times gained in popularity as a means of identifying long memory effects in financial and economic time series data. Conclusions derived from the rescaled adjusted range statistic are conditional however upon the choice of an approptiate benchmark against which observed results can be compared. This paper provides an examination of various models of the expected value of the rescaled adjusted range statistic E(R*/sigma)_n. Two particular models will be cited, those of Anis and Lloyd (1976) and Peters (1994). As will be shown however, there exists significant inconsistencies in empirical results reported by Peters (1994), which when considered reveal Peters' specification of E(R*/sigma)_n should be rejected in favour of that derived by Anis and Lloyd.

Pages: 17 pages
Date: 1996-10-01
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Citations: View citations in EconPapers (2)

Published as: Ellis, C., 2006, "The Mis-Specification of the Expected Rescaled Adjusted Range", Physica A: Statistical Mechanics and its Applications, 363(2), 469-476.

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Journal Article: The mis-specification of the expected rescaled adjusted range (2006)
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