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Book Chapter

Forecasting Using ARIMA, SARIMA, and the Additive Model

  • Nokeri T
Apress, (2021), 21-50
DOI: 10.1007/978-1-4842-7110-0_2
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Abstract

Time-series analysis is a method for explaining sequential problems. It is convenient when a continuous variable is time-dependent. In finance, we frequently use it to discover consistent patterns in the market data and forecast future prices. This chapter offers a...

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APA

Nokeri, T. C. (2021). Forecasting Using ARIMA, SARIMA, and the Additive Model. In Implementing Machine Learning for Finance (pp. 21–50). Apress. https://doi.org/10.1007/978-1-4842-7110-0_2

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