Heteroskedasticity and Serial Correlat ...
One of the assumptions underpinning multiple regression is that regression errors are homoscedastic.... Read More
Mean reversion refers to the behavior of a time series to fall when its values are above the mean and rise when they are below the mean. This is illustrated as follows:
A mean-reverting time series tends to move towards its long-term mean. The model predicts that the value will stay the same if the time series is currently at its long-term mean.
i.e., \(\hat{\text{x}}_{\text{t}}=\text{x}_{\text{t}-1}\)
Substituting the above in an AR(1) model, we have:
$$\text{x}_{\text{t}}=\text{b}_{0}+\text{b}_{1}\text{x}_{\text{t}-1}=\text{b}_{0}+\text{b}_{1}\text{x}_{\text{t}}$$
The mean-reverting level can be expressed as:
$$\text{x}_{\text{t}}=\text{b}_{0}+\text{b}_{1}\text{x}_{\text{t}}$$
$$\text{x}_{\text{t}}=\frac{\text{b}_{0}}{1-\text{b}_{1}}$$
The value of an AR(1) model will:
Remain the same when \(\text{x}_{\text{t}}=\frac{\text{b}_{0}}{1-\text{b}_{1}}\)
Increase when \(\text{x}_{\text{t}}<\frac{\text{b}_{0}}{1-\text{b}_{1}}\)
Decrease when \(\text{x}_{\text{t}}>\frac{\text{b}_{0}}{1-\text{b}_{1}}\)
Consider the following output of an AR(1) model.
$$\begin{array}{c|c|c} {}& \textbf{Coefficients} & \textbf{Standard Error} \\ \hline \text{Intercept} & 31.4 & 4.81 \\ \hline \text{Lag 1} & -0.0006827 & 0.0001088\\ \end{array}$$
The mean-reverting level is closest to:
Solution
The mean-reverting level can be expressed as:
$$\text{x}_{\text{t}}=\frac{\text{b}_{0}}{1-\text{b}_{1}}$$
$$\text{x}_{t}=\frac{31.4}{1-(-0.0006827)}=31.39$$
It is worth noting that all covariance stationary time series will have a finite mean-reverting level. This will be discussed in more detail in future learning objectives.
Question
Consider the following autoregressive model:
$$\text{x}_{t}=0.0407-0.5647\text{x}_{\text{t}-1}$$
The mean-reverting level is closest to:
- 0.02601.
- 0.03911.
- 0.09350.
Solution
The correct answer is A.
The mean-reverting level is given by:
$$\text{x}_{\text{t}}=\frac{\text{b}_{0}}{1-\text{b}_{1}}=\frac{0.0407}{1-(-0.5647)}=0.02601$$
Reading 5: Time Series Analysis
LOS 5 (f) Explain mean reversion and calculate a mean-reverting level.