Testing that Stock Returns Are Uncorrelated Using A General Box-Pierce Q Test
AbstractThis paper investigates the problem of testing that stock returns are uncorrelated without assuming statistical independence. This paper presents a generalized Box-Pierce Q statistics, denoted by Q*, which has an asymptotic chi-square distribution when the times series is uncorrelated provided it is a martingale difference sequence.
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Bibliographic InfoPaper provided by University of Iowa, Department of Economics in its series Working Papers with number 97-14.
Length: 27 pages
Date of creation: 1997
Date of revision:
Contact details of provider:
Postal: University of Iowa, Department of Economics, Henry B. Tippie College of Business, Iowa City, Iowa 52242
Phone: (319) 335-0829
Fax: (319) 335-1956
Web page: http://tippie.uiowa.edu/economics/
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STOCK MARKET ; TESTS ; ECONOMICS;
Find related papers by JEL classification:
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
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