April 2019
Intermediate to advanced
426 pages
11h 13m
English
Content preview from Mastering Python for Finance - Second Edition
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Types of stationary processes
These are a number of definitions of stationarity that you may come across in time series studies:
- Stationary process: A process that generates a stationary series of observations.
- Trend stationary: A process that does not exhibit a trend.
- Seasonal stationary: A process that does not exhibit seasonality.
- Strictly stationary: Also known as strongly stationary. A process whose unconditional joint probability distribution of random variables does not change when shifted in time (or along the x axis).
- Weakly stationary: Also known as covariance-stationary, or second-order stationary. A process whose mean, variance, and correlation of random variables doesn't change when shifted in time.
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