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New test statistics for market timing with applications to emerging markets hedge funds

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Author Info
Alessio Sancetta
Stephen Satchell
Abstract

A new framework is provided for identifying market timing. The analysis focuses on the local joint history of the hedge fund with the benchmark. The approach is fully nonparametric. Therefore, it has the advantage of avoiding the misspecification problems so common in this literature. The test statistic is some rank preserving function of a second-order U-process. This empirical process allows one to define a set of statistics for market timing. The relevant asymptotic distribution is detailed. Some of these statistics are used to study the timing component of emerging markets funds using the 1999 dataset of Hwang and Satchell.

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Publisher Info
Article provided by Taylor and Francis Journals in its journal The European Journal of Finance.

Volume (Year): 11 (2005)
Issue (Month): 5 (October)
Pages: 419-443
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Handle: RePEc:taf:eurjfi:v:11:y:2005:i:5:p:419-443

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Related research
Keywords: Empirical process Kendall's tau nonparametric estimation performance measurement

References listed on IDEAS
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  1. Lawrence R. Glosten & Ravi Jagannathan, 1993. "A contingent claim approach to performance evaluation," Staff Report 159, Federal Reserve Bank of Minneapolis. [Downloadable!]
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  2. Henriksson, Roy D & Merton, Robert C, 1981. "On Market Timing and Investment Performance. II. Statistical Procedures for Evaluating Forecasting Skills," Journal of Business, University of Chicago Press, vol. 54(4), pages 513-33, October. [Downloadable!] (restricted)
  3. Jagannathan, Ravi & Korajczyk, Robert A, 1986. "Assessing the Market Timing Performance of Managed Portfolios," Journal of Business, University of Chicago Press, vol. 59(2), pages 217-35, April. [Downloadable!] (restricted)
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