Learning objectives: Describe sample autocorrelation and partial autocorrelation. Describe the Box-Pierce Q-statistic and the Ljung-Box Q statistic.
Questions:
20.24.1. The autocorrelation function (ACF) is typically paired with the partial autocorrelation function (PACF). About the ACF and...
Learning objectives: Define and describe the properties of autoregressive (AR) processes. Define and describe the properties of moving average (MA) processes. Explain how a lag operator works.
Questions:
20.22.1. Below are a set of innovations over ten steps (from initial t = 0 to t = 10) and...
Learning objectives: Describe the requirements for a series to be covariance stationary. Define the autocovariance function and the autocorrelation function. Define white noise; describe independent white noise and normal (Gaussian) white noise.
Question:
20.21.1. Pamela has been tasked to...
Hi @David Harper CFA FRM
I am not able to understand below context. kindly help
Updated by Nicole to note that this is regarding the study notes in T2 - Chapter 10 Stationary Time Series on page 13.
As shown in the moving average process building equation above, the lagged shocks feed...
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