Seasonal time series theory is a hot topic among economists and statisticians, especially in the Journal of Econometrics. This theory helps us understand economic data that is released at different intervals like quarterly, monthly, or daily. Financial market data, for example, can be analyzed on a secondly basis. The research in this field has been growing in the past decade, and this article gives a systematic overview of seasonal time series theory and highlights the latest advancements in this area.