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Stationarity and Unit Roots

Two independent asset-price paths can produce a persuasive level regression with no stable hedge behind it. A unit root invalidates familiar stationary-regression inference. This lesson distinguishes I(0) from I(1), explains spurious regression, and sets out DF, ADF, and Phillips–Perron tests. A stationary model can use I(0) levels directly. For I(1) levels, a stable equilibrium combination requires cointegration.
Learning objectives. By the end of this note you should be able to:
  • define I(0), I(1), and a unit root; distinguish random walk with drift from trend-stationary;
  • identify empirical symptoms of spurious regression;
  • formulate DF/ADF hypotheses with correct deterministic terms and non-standard critical values;
  • distinguish parametric ADF correction from Phillips–Perron's long-run-variance correction.

In this lesson

  1. Integrated processes
  2. Unit-root representation
  3. Spurious regression
  4. Dickey–Fuller
  5. ADF and Phillips–Perron

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