Preparing Data for Dividend Stocks Forecasting Models

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Learn how to collect, clean, and explore time series stock data in R using real dividend stocks. Book 2 guides readers through data sourcing, preprocessing, and visualization techniques to uncover trends, seasonality, and insights needed for accurate stock forecasting.

🇨🇦 Buying Options for Canada:


Looking for other countries? Please refer to the US options in the Main Description below, or search for the book on your local Amazon store.

Before you can forecast the future, you need to understand the past.

In Book 2 of the Foundations of Time Series Forecasting for Canadian Dividend Stocks series, we focus on what truly powers great forecasting models: clean, structured, and insightful data.

Book 2 of the Canadian Dividend Aristocrats Forecasting Series gives readers a practical, hands-on foundation for preparing high-quality data for forecasting models. Learn how to collect, clean, and prepare stock market data for accurate time series forecasting in R. This book covers sourcing data, preprocessing, handling missing values, and performing exploratory data analysis on 11 Canadian Dividend Aristocrats, a practical, hands-on guide for investors and analysts looking to build reliable forecasting models.

Author: Chuck Egboka

Year: 2025

Publisher: Cuttell Publications


🇺🇸 Buying Options for the United States:


Looking for other countries? Please refer to the Canadian options in the Short Description above, or search for the book on your local Amazon store.

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