Testing for Cointegration in the Presence of Moving Average Errors
Mindy Mallory () and
Sergio Lence
Staff General Research Papers Archive from Iowa State University, Department of Economics
Abstract:
This study explores performance of the Johansen cointegration statistics on data containingnegative moving average (NMA) errors. Monte Carlo experiments demonstrate that the asymptoticdistributions of the statistics are sensitive to NMA parameters, and that using the standard 5%asymptotic critical values results in severe underestimation of the actual test sizes. We demonstratethat problems associated with NMA errors do not decrease as sample size increases; instead,they become more severe. Further we examine evidence that many U.S. commodity prices arecharacterized by NMA errors. Pretesting data is recommended before using standard asymptoticcritical values for Johansen's cointegration tests
Keywords: cointegration; Johansen cointegration test; moving average (search for similar items in EconPapers)
JEL-codes: C22 (search for similar items in EconPapers)
Date: 2012-12-31
New Economics Papers: this item is included in nep-ecm and nep-ets
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Citations: View citations in EconPapers (13)
Published in Journal of Time Series Econometrics 2012, vol. 4 no. 2
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Related works:
Journal Article: Testing for Cointegration in the Presence of Moving Average Errors (2012) 
Working Paper: Testing for Cointegration in the Presence of Moving Average Errors (2012) 
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Persistent link: https://EconPapers.repec.org/RePEc:isu:genres:36076
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