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Univariate Time-Series Modelling Guide by Đỗ Quỳnh is a document available to read on EtoBox.

Chapter 6 discusses univariate time-series modeling and forecasting, focusing on concepts such as white noise processes, joint hypothesis tests, and autocorrelation functions (ACF). It covers autoregressive (AR) models, moving average (MA) models, and their combination into ARMA models, explaining their mathematical foundations and applications in econometrics. The chapter emphasizes the importance of understanding these models for effective time-series analysis in finance.

Author
Đỗ Quỳnh
Language
EN