Financial markets

• Predicting Changes in Canadian Housing Markets with Machine Learning

  Staff Discussion Paper 2023-21 Johan Brannlund, Helen Lao, Maureen MacIsaac, Jing Yang

  We apply two machine learning algorithms to forecast monthly growth of house prices and existing homes sales in Canada. Although the algorithms can sometimes outperform a linear model, the improvement in forecast accuracy is not always statistically significant.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Econometric and statistical methods, Financial markets, Housing JEL Code(s): A, C, C4, C45, C5, C53, D, D2, R, R2, R3

• Tattle-tails: Gauging downside risks using option prices

  Staff Analytical Note 2023-13 Greg Adams, Maksym Tupis

  Options markets offer unique insights into the changing risks different assets face, which helps us better understand the broader risks to the Canadian economy. We show how option prices help reveal that investors did not anticipate large downside risks to either major Canadian banks or economic growth during the March 2023 financial sector system stress, a period when policy-makers and investors were unsure of what the future held for Canada’s economy.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Financial markets, Monetary policy and uncertainty, Recent economic and financial developments JEL Code(s): E, E4, E44, E5, E52