Canada Housing Crises Analysis and Forecasting

The Canadian economy is characterized by its resilience and diversity, and key economic indicators such as the Housing Price Index (HPI), Consumer Price Index (CPI), and energy prices play pivotal roles in shaping its trajectory. This survey paper embarks on a comprehensive exploration of time series analysis specific to Canada, focusing on HPI, CPI, and energy prices. It serves as a valuable resource for those seeking to comprehend the dynamics of housing prices in the Canadian context.

The motivation behind this paper stems from the growing importance of HPI, CPI, and energy prices in the Canadian economic landscape. These indicators wield significant influence over the financial well-being of Canadians, impacting decisions made by individuals, businesses, and policymakers alike. The need for a comprehensive understanding of the time series data associated with these factors becomes increasingly evident.

This paper follows a structured approach, offering a step-by-step guide to unravel the intricacies of time series analysis. Beginning with fundamental concepts, it navigates through the core principles of time series, elucidating vital components such as stationarity, seasonality, and trend analysis.

Furthermore, the paper conducts a deep-dive into the unique characteristics of Canadian HPI, CPI, and energy price time series data. By analyzing historical trends, patterns, and correlations within these datasets, it provides valuable insights into their economic significance within the Canadian context.

In summary, this survey paper acts as an educational tool and reference guide tailored to those interested in analyzing HPI, CPI, and energy price time series data specific to Canada. By combining foundational time series analysis principles with real-world insights into the Canadian economy, we endeavor to equip readers with the knowledge and tools needed to navigate the dynamic realm of Canadian housing price analysis.