August 15, 2013 CSI: A Model for Tracking Short-Term Growth in Canadian Real GDP Bank of Canada Review - Summer 2013 André Binette, Jae Chang Canada’s Short-Term Indicator (CSI) is a new model that exploits the information content of 32 indicators to produce daily updates to forecasts of quarterly real GDP growth. The model is a data-intensive, judgment-free approach to short-term forecasting. While CSI’s forecasts at the start of the quarter are not very accurate, the model’s accuracy increases appreciably as more information becomes available. CSI is the latest addition to a wide range of models and information sources that the Bank of Canada uses, combined with expert judgment, to produce its short-term forecasts. Content Type(s): Publications, Bank of Canada Review articles Research Topic(s): Econometric and statistical methods JEL Code(s): C, C5, C53, E, E1, E17, E3, E37
Real-Financial Linkages in the Canadian Economy: An Input-Output Approach Staff Working Paper 2011-14 Danny Leung, Oana Secrieru The purpose of this paper is twofold. First, we provide a detailed social accounting matrix (SAM), which incorporates the income and financial flows into the standard input-output matrix, for the Canadian economy for 2004. Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Financial markets, Sectoral balance sheet JEL Code(s): C, C6, C67, D, D5, D57
Exporting and Investment Under Credit Constraints Staff Working Paper 2023-10 Kim Huynh, Robert Petrunia, Joel Rodrigue, Walter Steingress We examine the relationship between firms’ performance and credit constraints affecting export market entry. Using administrative Canadian firm-level data, our findings show that new exporters (a) increase their productivity, (b) raise their leverage ratio and (c) increase investment. We estimate that 48 percent of Canadian manufacturers face binding credit constraints when deciding whether to enter export markets. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Firm dynamics, International topics, Productivity JEL Code(s): F, F1, F10, F14, F3, F36, G, G2, G20, G28, G3, G32
Covariates Hiding in the Tails Staff Working Paper 2021-45 Milian Bachem, Lerby Ergun, Casper G. de Vries We characterize the bias in cross-sectional Hill estimates caused by common underlying factors and propose two simple-to-implement remedies. To test for the presence, direction and size of the bias, we use monthly US stock returns and annual US Census county population data. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C0, C01, C1, C14, C5, C58
Dynamic Competition in Negotiated Price Markets Staff Working Paper 2020-22 Jason Allen, Shaoteng Li Repeated interactions between borrowers and lenders create the possibility of dynamic pricing: lenders compete aggressively with low prices to attract new borrowers and then raise their prices once borrowers have made a commitment. We find such pricing patterns in the Canadian mortgage market. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial institutions, Financial services, Market structure and pricing JEL Code(s): D, D4, G, G2, G21, L, L2
Creations and Redemptions in Fixed-Income Exchange-Traded Funds: A Shift from Bonds to Cash Staff Analytical Note 2019-34 Rohan Arora, Sébastien Betermier, Guillaume Ouellet Leblanc, Adriano Palumbo, Ryan Shotlander The creation and redemption activity of fixed-income exchange-traded funds listed in the United States has shifted. Funds of established issuers have traditionally exchanged their shares for baskets of bonds. In contrast, young funds managed by new issuers tend to create and redeem their shares almost exclusively in cash. Cash transactions imply that new funds are taking on exposure to liquidity risk. This has implications for financial stability. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Financial markets, Financial stability JEL Code(s): G, G1, G2, G20, G23
March 26, 2011 The Paradigm Shifts: Global Imbalances, Policy, and Latin America Remarks Mark Carney Inter-American Development Bank Calgary, Alberta Globalization is the opportunity and the challenge of our age. It has the potential to lift billions out of poverty, vastly expand economic prospects, and develop a more diverse and resilient global economy. Content Type(s): Press, Speeches and appearances, Remarks
The Prudential Toolkit with Shadow Banking Staff Working Paper 2025-9 Kinda Hachem, Martin Kuncl Can regulators keep pace with banks’ creative regulatory workarounds? Our analysis unpacks the trade-offs between fixed regulations and crisis-triggered rules, showing that the latter are especially prone to circumvention—and can trigger larger, costlier bailouts. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial institutions, Financial stability, Financial system regulation and policies JEL Code(s): D, D6, D62, E, E6, E61, G, G0, G01, G2, G21, G28
Cost Pass-Through with Capacity Constraints and International Linkages Staff Working Paper 2023-16 Reinhard Ellwanger, Hinnerk Gnutzmann, Piotr Śpiewanowski How are regional cost shocks passed through into global prices? We investigate the role of short-run capacity constraints and show that they can induce stark non-linearities in the pass-through. We highlight this effect for the market for ammonia, a commodity produced largely from natural gas. Content Type(s): Staff research, Staff working papers Research Topic(s): Climate change, Econometric and statistical methods, Inflation and prices, International topics JEL Code(s): L, L1, L13, L6, L65, Q, Q4, Q40, Q5, Q54
Sample Calibration of the Online CFM Survey Technical Report No. 118 Marie-Hélène Felt, David Laferrière The Canadian Financial Monitor (CFM) survey uses non-probability sampling for data collection, so selection bias is likely. We outline methods for obtaining survey weights and discuss the conditions necessary for these weights to eliminate selection bias. We obtain calibration weights for the 2018 and 2019 online CFM samples. Content Type(s): Staff research, Technical reports Research Topic(s): Econometric and statistical methods JEL Code(s): C, C8, C81, C83