Characterizing the Canadian Financial Cycle with Frequency Filtering Approaches Staff analytical note 2018-34 Andrew Lee-Poy 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. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C0, C01, C1, C13, C14, C18, C3, C32, C5, C51, C52, E, E3, E32, E6, E66, G, G0, G01, G1, G18 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Economic models
Evaluating Real GDP Growth Forecasts in the Bank of Canada Monetary Policy Report Staff analytical note 2017-21 André Binette, Dmitri Tchebotarev This paper examines the quality of projections of real GDP growth taken from the Bank of Canada Monetary Policy Report (MPR) since they were first published in 1997. Over the last decade, it has become common practice among the central banking community to discuss forecast performance publicly. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C5, C52, E, E3, E32, E37, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Real economy and forecasting
Assessing the Predictive Ability of Sovereign Default Risk on Exchange Rate Returns Staff working paper 2017-19 Claudia Foroni, Francesco Ravazzolo, Barbara Sadaba Increased sovereign credit risk is often associated with sharp currency movements. Therefore, expectations of the probability of a sovereign default event can convey important information regarding future movements of exchange rates. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C2, C22, C5, C52, C53, F, F3, F31 Research Theme(s): Financial markets and funds management, International markets and currencies, Models and tools, Econometric, statistical and computational methods
August 15, 2013 The Accuracy of Short-Term Forecast Combinations Bank of Canada Review - Summer 2013 Eleonora Granziera, Corinne Luu, Pierre St-Amant This article examines whether combining forecasts of real GDP from different models can improve forecast accuracy and considers which model-combination methods provide the best performance. In line with previous literature, the authors find that combining forecasts generally improves forecast accuracy relative to various benchmarks. Unlike several previous studies, however, they find that, rather than assigning equal weights to each model, unequal weighting based on the past forecast performance of models tends to improve accuracy when forecasts across models are substantially different. Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): C, C5, C52, C53, E, E3, E37