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Stationarity and Invertibility

  • John D. Levendis
Chapter
Part of the Springer Texts in Business and Economics book series (STBE)

Abstract

Most time-series methods are only valid if the underlying time-series is stationary. The more stationary something is, the more predictable it is. More specifically, a time-series is stationary if its mean, variance, and autocovariance do not rely on the particular time period.

References

  1. Granger, C. W., & Newbold, P. (1974). Spurious regressions in econometrics. Journal of Econometrics, 2(2), 111–120.CrossRefGoogle Scholar
  2. Stralkowski, C., & Wu, S. (1968). Charts for the interpretation of low order autoregressive moving average models (Technical report 164), University of Wisconsin, Department of Statistics.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • John D. Levendis
    • 1
  1. 1.Department of EconomicsLoyola University New OrleansNew OrleansUSA

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