EconometricsLesson 2 of 2 in the course Time series

Autocorrelation: Properties, Estimation, and Time-Series Applications

5 flashcards · 5 quiz questions · 5 match pairs · 5 fill-in sentences · English

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Summary

Autocorrelation measures how similar observations of a signal or random process are to other observations of itself at a time shift, or lag. It is useful for detecting persistence, repeating patterns, and periodic behavior in data.

For a process {Xt}\{X_t\}, autocorrelation compares values at different times, such as XtX_t and Xt+τX_{t+\tau}. It is a correlation of a variable with a shifted copy of itself. In discrete time, the lag is usually an integer; in continuous time, it may be any real number.

All flashcards

Wiener–Khinchin theorem
The autocorrelation function and power spectral density are Fourier-transform pairs.
Hermitian symmetry
For a complex-valued WSS process, autocorrelation at a lag is the complex conjugate of its value at the opposite lag.
Hassani −1/2 identity
For a nonconstant sample centered by its sample mean, the positive-lag ACFs sum to −1/2 under the common lag-zero denominator convention.
Circular correlation
Correlation computed by an unpadded FFT treats the sequence as wrapping around at its ends.
Newey–West standard errors
Heteroskedasticity-and-autocorrelation-consistent standard errors used for regression inference.

Quiz questions

  1. What symmetry does the autocorrelation of a real-valued WSS process satisfy?Answer: It is even, with equal values at opposite lags.
  2. What relationship does the Wiener–Khinchin theorem establish?Answer: Autocorrelation and power spectral density are Fourier-transform pairs.
  3. For a finite-order moving-average process of order qq, what is true of its theoretical ACF at lags greater than qq?Answer: It is zero at all lags greater than qq.
  4. Which test can assess higher-order residual autocorrelation and accommodate lagged dependent variables among regressors?Answer: The Breusch–Godfrey test.
  5. For a nonconstant sample centered by its sample mean, what is the sum of all positive-lag sample ACFs under the common lag-zero denominator convention?Answer: It equals −1/2-1/2.

Based on the Wikipedia article Autocorrelation, licensed CC BY-SA 4.0. Adapted into a summary, flashcards and quizzes.

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