What can be concluded from the findings in parts a, b, and c about forecasting this type of series in Time Series Analysis?
A) The series exhibits seasonal patterns and trends, making ARIMA models appropriate for forecasting.
B) There is high volatility in the series, suggesting the use of GARCH models for accurate predictions.
C) The series lacks clear patterns, indicating that simple moving average models would be the most suitable for forecasting.
D) The series displays identifiable trends and seasonality, implying the potential effectiveness of SARIMA models for forecasting.