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Answer: The plots indicate that the model should include an AR component.
## Explanation **A is correct.** The key characteristics observed in the plots indicate: - **Slow decay in ACF**: This suggests the presence of an autoregressive (AR) component - **Sharp cutoff in PACF at p lags**: This helps identify the appropriate lag length for the AR model In time series analysis: - Slow decay in ACF indicates the need for an AR component - Slow decay in PACF indicates the need for an MA component - Sharp cutoff in PACF at p lags suggests an AR(p) model **Why other options are incorrect:** **B is incorrect**: Only slow decay in the PACF would indicate that the model needs an MA component. **C is incorrect**: The pattern described (slow ACF decay + sharp PACF cutoff) specifically indicates an AR model rather than an ARMA model. **D is incorrect**: The time series is already covariance-stationary and there is no indication of deterministic seasonality, so no differencing is necessary.
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A quantitative risk manager at a hedge fund is using an autoregressive moving average (ARMA) process to model the default premium of corporate bond portfolios held by the fund and constructs several covariance-stationary ARMA models with varying lag lengths. The manager conducts a graphical analysis of the autocorrelation function (ACF) and partial autocorrelation function (PACF) plots to identify candidate models. In this analysis, the manager notes that there is a slow decay in the ACF plot, but the PACF plot indicates a sharp cutoff at p lags. In determining whether an autoregressive (AR) or a moving average (MA) component is needed in the model, which of the following would be correct for the manager to conclude?
A
The plots indicate that the model should include an AR component.
B
The plots indicate that the model should include an MA component.
C
The plots indicate that the model should include both an AR and an MA component with lag length p.
D
The plots indicate that the model should incorporate an MA component after undergoing differencing for lag p.