Detecting exuberance in house prices across Canadian cities Staff Analytical Note 2021-9 Ugochi Emenogu, Cars Hommes, Mikael Khan We introduce a model to detect periods of extrapolative house price expectations across Canadian cities. The House Price Exuberance Indicator can be updated on a quarterly basis to support the Bank of Canada’s broader assessment of housing market imbalances. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Econometric and statistical methods, Financial stability, Housing JEL Code(s): C, C5, C53, R, R2, R21, R3, R31
Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning Staff Working Paper 2022-29 Vladimir Skavysh, Sofia Priazhkina, Diego Guala, Thomas Bromley Using the quantum Monte Carlo algorithm, we study whether quantum computing can improve the run time of economic applications and challenges in doing so. We apply the algorithm to two models: a stress testing bank model and a DSGE model solved with deep learning. We also present innovations in the algorithm and benchmark it to classical Monte Carlo. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Central bank research, Econometric and statistical methods, Economic models, Financial stability JEL Code(s): C, C1, C15, C6, C61, C63, C68, C7, E, E1, E13, G, G1, G17, G2, G21
The Impact of Bankruptcy Reform on Insolvency Choice and Consumer Credit Staff Working Paper 2016-26 Jason Allen, Kiana Basiri We examine the impact of the 2009 amendments to the Canadian Bankruptcy and Insolvency Act on insolvency decisions. Rule changes steered debtors out of division I proposals and into the more cost-effective division II proposals. Content Type(s): Staff research, Staff working papers Research Topic(s): Credit and credit aggregates, Financial institutions, Financial system regulation and policies JEL Code(s): D, D1, D14, G, G2, K, K3, K35
Managing GDP Tail Risk Staff Working Paper 2020-3 Thibaut Duprey, Alexander Ueberfeldt Models for macroeconomic forecasts do not usually take into account the risk of a crisis—that is, a sudden large decline in gross domestic product (GDP). However, policy-makers worry about such GDP tail risk because of its large social and economic costs. Content Type(s): Staff research, Staff working papers Research Topic(s): Central bank research, Economic models, Financial stability, Financial system regulation and policies, Interest rates, Monetary policy, Monetary policy framework JEL Code(s): D, D8, E, E4, E44, E5, E52, E58, G, G0, G01
Deriving Agents' Inflation Forecasts from the Term Structure of Interest Rates Staff Working Paper 1995-1 Christopher Ragan In this paper, the author uses the term structure of nominal interest rates to construct estimates of agents' expectations of inflation over several medium-term forecast horizons. The Expectations Hypothesis is imposed together with the assumption that expected future real interest rates are given by current real rates. Under these maintained assumptions, it is possible to […] Content Type(s): Staff research, Staff working papers Research Topic(s): Inflation and prices, Interest rates
Forecasting Inflation and the Inflation Risk Premiums Using Nominal Yields Staff Working Paper 2012-37 Bruno Feunou, Jean-Sébastien Fontaine We provide a decomposition of nominal yields into real yields, expectations of future inflation and inflation risk premiums when real bonds or inflation swaps are unavailable or unreliable due to their relative illiquidity. Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing, Econometric and statistical methods, Inflation and prices, Interest rates JEL Code(s): E, E4, E43, E47, G, G1, G12
Estimating Discrete Choice Demand Models with Sparse Market-Product Shocks Staff Working Paper 2025-10 Zhentong Lu, Kenichi Shimizu We propose a novel approach to estimating consumer demand for differentiated products. We eliminate the need for instrumental variables by assuming demand shocks are sparse. Our empirical applications reveal strong evidence of sparsity in real-world datasets. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Market structure and pricing JEL Code(s): C, C1, C3, D, D1, L, L0, L00
State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models Staff Working Paper 2018-14 Luis Uzeda Implications for signal extraction from specifying unobserved components (UC) models with correlated or orthogonal innovations have been well investigated. In contrast, the forecasting implications of specifying UC models with different state correlation structures are less well understood. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Inflation and prices JEL Code(s): C, C1, C11, C15, C5, C51, C53
Assessing tariff pass-through to consumer prices in Canada: Lessons from 2018 Staff Analytical Note 2025-18 Alexander Lam US trade protectionism is making the economic outlook increasingly uncertain. To assess how consumer prices may respond to tariffs, we examine a tariff episode from 2018 using detailed microdata and the synthetic control method. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Inflation and prices, International topics, Recent economic and financial developments, Trade integration JEL Code(s): E, E3, E30, E31, F, F1, F10, F13, F14
Systemic Risk and Portfolio Diversification: Evidence from the Futures Market Staff Working Paper 2021-50 Radoslav Raykov This paper explores how the Canadian futures market contributed to banks’ systemic risk during the 2008 financial crisis. It finds that core banks as a whole traded against the periphery, in this way increasing their risk of simultaneous losses. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial institutions, Financial markets JEL Code(s): G, G1, G10, G2, G20