A New Approach to Infer Changes in the Synchronization of Business Cycle Phases Staff Working Paper 2014-38 Danilo Leiva-Leon This paper proposes a Markov-switching framework to endogenously identify the following: (1) regimes where economies synchronously enter recessionary and expansionary phases; and (2) regimes where economies are unsynchronized, essentially following independent business cycles. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Regional economic developments JEL Code(s): C, C3, C32, C4, C45, E, E3, E32
Predicting Financial Stress Events: A Signal Extraction Approach Staff Working Paper 2014-37 Ian Christensen, Fuchun Li The objective of this paper is to propose an early warning system that can predict the likelihood of the occurrence of financial stress events within a given period of time. To achieve this goal, the signal extraction approach proposed by Kaminsky, Lizondo and Reinhart (1998) is used to monitor the evolution of a number of economic indicators that tend to exhibit an unusual behaviour in the periods preceding a financial stress event. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial stability JEL Code(s): C, C1, C14, C4, E, E3, E37, E4, E47, F, F3, F36, F37, G, G0, G01, G1, G17
Analyzing and Forecasting the Canadian Economy through the LENS Model Technical Report No. 102 Olivier Gervais, Marc-André Gosselin The authors describe the key features of a new large-scale Canadian macroeconomic forecasting model developed over the past two years at the Bank of Canada. Content Type(s): Staff research, Technical reports Research Topic(s): Econometric and statistical methods, Economic models JEL Code(s): C, C5, C53, E, E1, E17, E2, E27, E3, E37, F, F1, F17
Forecasting Short-Term Real GDP Growth in the Euro Area and Japan Using Unrestricted MIDAS Regressions Staff Discussion Paper 2014-3 Maxime Leboeuf, Louis Morel In this paper, the authors develop a new tool to improve the short-term forecasting of real GDP growth in the euro area and Japan. This new tool, which uses unrestricted mixed-data sampling (U-MIDAS) regressions, allows an evaluation of the usefulness of a wide range of indicators in predicting short-term real GDP growth. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C50, C53, E, E3, E37, E4, E47
Retail Payment Innovations and Cash Usage: Accounting for Attrition Using Refreshment Samples Staff Working Paper 2014-27 Heng Chen, Marie-Hélène Felt, Kim Huynh We exploit the panel dimension of the Canadian Financial Monitor (CFM) data to estimate the impact of retail payment innovations on cash usage. We estimate a semiparametric panel data model that accounts for unobserved heterogeneity and allows for general forms of non-random attrition. Content Type(s): Staff research, Staff working papers Research Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods, Financial services JEL Code(s): C, C3, C35, E, E4, E41
Filling in the Blanks: Network Structure and Interbank Contagion Staff Working Paper 2014-26 Kartik Anand, Ben Craig, Goetz von Peter The network pattern of financial linkages is important in many areas of banking and finance. Yet bilateral linkages are often unobserved, and maximum entropy serves as the leading method for estimating counterparty exposures. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial institutions, Financial stability JEL Code(s): C, C6, C63, D, D8, D85, G, G2, G21, L, L1, L14
Improving Overnight Loan Identification in Payments Systems Staff Working Paper 2014-25 Mark Rempel Information on the allocation and pricing of over-the-counter (OTC) markets is scarce. Furfine (1999) pioneered an algorithm that provides transaction-level data on the OTC interbank lending market. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial markets, Interest rates, Payment clearing and settlement systems JEL Code(s): C, C3, C38, C5, C53, E, E4, E42, E44, G, G1, G10
Sheep in Wolf’s Clothing: Using the Least Squares Criterion for Quantile Estimation Staff Working Paper 2014-24 Heng Chen Estimation of the quantile model, especially with a large data set, can be computationally burdensome. This paper proposes using the Gaussian approximation, also known as quantile coupling, to estimate a quantile model. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C13, C14, C2, C21
Monetary Policy Transmission during Financial Crises: An Empirical Analysis Staff Working Paper 2014-21 Tatjana Dahlhaus This paper studies the effects of a monetary policy expansion in the United States during times of high financial stress. The analysis is carried out by introducing a smooth transition factor model where the transition between states (“normal” and high financial stress) depends on a financial conditions index. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial markets, Monetary policy transmission JEL Code(s): C, C1, C11, C3, C32, E, E3, E32, E4, E44, G, G0, G01
Consumer Cash Usage: A Cross-Country Comparison with Payment Diary Survey Data Staff Working Paper 2014-20 John Bagnall, David Bounie, Kim Huynh, Anneke Kosse, Tobias Schmidt, Scott Schuh, Helmut Stix We measure consumers’ use of cash by harmonizing payment diary surveys from seven countries. The seven diary surveys were conducted in 2009 (Canada), 2010 (Australia), 2011 (Austria, France, Germany and the Netherlands), and 2012 (the United States). Content Type(s): Staff research, Staff working papers Research Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods, Financial services JEL Code(s): D, D1, D12, E, E4, E41, E5, E58