00000nam 2200000za 4500 9.863773 CaOODSP 20250821075112 cr ||||||||||| 181026s2018 onc |o f|0| 0 eng d CaOODSP eng eng fre n-cn--- FB3-7/2018-34E-PDF Lee-Poy, Andrew. Characterizing the Canadian financial cycle with frequency filtering approaches [electronic resource] / by Andrew Lee-Poy. Ottawa : Bank of Canada, 2018. iii, 17 p. Staff analytical note = Note analytique du personnel, 2369-9639 ; 2018-34 Cover title. Includes bibliographic references. "In this note, I use two multivariate frequency filtering approaches to characterize the Canadian financial cycle by capturing fluctuations in the underlying variables with respect to a long-term trend. The first approach is a dynamically weighted composite, and the second is a stochastic cycle model. Applying the two approaches to Canada yields several findings. First, the Canadian financial cycle is more than twice as long as the business cycle, with an amplitude almost four times greater. Second, the overall Canadian financial cycle is most strongly associated with household credit and house prices. Third, while Canadian house prices are mostly associated with the financial cycle, they are also significantly tied to the business cycle. Lastly, house prices are found to lead the overall financial cycle"--Abstract, p. ii. Text in English, abstract in English and French. gccst Financial analysis Bank of Canada. Staff analytical note (Bank of Canada) 2369-9639 ; 2018-34. (CaOODSP)9.807323 PDF 623 KB https://publications.gc.ca/collections/collection_2018/banque-bank-canada/FB3-7-2018-34-eng.pdf