Siphat Lim

Comparative Analysis of ARIMA and Machine Learning Models for Forecasting Inflation in Cambodia

Variable-importance results showed that most predictive information rested in the time trend and the first two LNCPI lags, with monthly seasonal indicators contributing little and as the forecast horizon increased, machine-learning forecasts began to flatten out and increasingly under-predict LNCPI.