The MacroFinancial Risk Assessment Framework (MFRAF), Version 2.0 Technical report No. 111 Jose Fique This report provides a detailed technical description of the updated MacroFinancial Risk Assessment Framework (MFRAF), which replaces the version described in Gauthier, Souissi and Liu (2014) as the Bank of Canada’s stress-testing model for banks with a focus on domestic systemically important banks (D-SIBs). Content Type(s): Staff research, Technical reports JEL Code(s): C, C7, C72, E, E5, E58, G, G0, G01, G2, G21, G28 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk, Financial system regulation and oversight
How to Predict Financial Stress? An Assessment of Markov Switching Models Staff working paper 2017-32 Benjamin Klaus, Thibaut Duprey This paper predicts phases of the financial cycle by using a continuous financial stress measure in a Markov switching framework. The debt service ratio and property market variables signal a transition to a high financial stress regime, while economic sentiment indicators provide signals for a transition to a tranquil state. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C54, G, G0, G01, G1, G15 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods
Retrieving Implied Financial Networks from Bank Balance-Sheet and Market Data Staff working paper 2017-30 Jose Fique In complex and interconnected banking systems, counterparty risk does not depend only on the risk of the immediate counterparty but also on the risk of others in the network of exposures. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C63, D, D8, D85, G, G2, G21 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial institutions and intermediation, Financial stability and systemic risk
Adoption of a New Payment Method: Theory and Experimental Evidence Staff working paper 2017-28 Jasmina Arifovic, John Duffy, Janet Hua Jiang We model the introduction of a new payment method, e.g., e-money, that competes with an existing payment method, e.g., cash. The new payment method involves relatively lower per-transaction costs for both buyers and sellers, but sellers must pay a fixed fee to accept the new payment method. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C35, C8, C83, C9, C92, E, E4, E41 Research Theme(s): Money and payments, Digital assets and fintech, Payment and financial market infrastructures, Retail payments
Detecting Scapegoat Effects in the Relationship Between Exchange Rates and Macroeconomic Fundamentals Staff working paper 2017-22 Lorenzo Pozzi, Barbara Sadaba This paper presents a new testing method for the scapegoat model of exchange rates that aims to tighten the link between the theory on scapegoats and its empirical implementation. This new testing method consists of a number of steps. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C32, F, F3, F31, G, G1, G15 Research Theme(s): Financial markets and funds management, International markets and currencies, Models and tools, Econometric, statistical and computational methods
A Three‐Frequency Dynamic Factor Model for Nowcasting Canadian Provincial GDP Growth Staff discussion paper 2017-8 Tony Chernis, Gabriella Velasco, Calista Cheung This paper estimates a three‐frequency dynamic factor model for nowcasting Canadian provincial gross domestic product (GDP). Canadian provincial GDP is released by Statistics Canada on an annual basis only, with a significant lag (11 months). Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C5, C53, E, E3, E32, E37, R, R1, R11 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Real economy and forecasting
Should Central Banks Worry About Nonlinearities of their Large-Scale Macroeconomic Models? Staff working paper 2017-21 Vadym Lepetyuk, Lilia Maliar, Serguei Maliar How wrong could policymakers be when using linearized solutions to their macroeconomic models instead of nonlinear global solutions? Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C61, C63, C68, E, E3, E31, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Monetary policy framework and transmission
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
May 11, 2017 Why Is Global Business Investment So Weak? Some Insights from Advanced Economies Bank of Canada Review - Spring 2017 Robert Fay, Justin-Damien Guénette, Martin Leduc, Louis Morel Various drivers of business investment can be used to explain the underwhelming performance of investment in advanced economies since the global financial crisis, particularly since 2014. The slow growth in aggregate demand cannot by itself explain the full extent of the recent weakness in investment, which appears to be linked primarily to the collapse of global commodity prices and a rise in economic uncertainty. Looking ahead, business investment growth is likely to remain slower than in the pre-crisis period, largely because of structural factors such as population aging. Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): C, C2, C22, D, D2, D24, D8, D80, E, E2, E22, F, F0, F01, G, G3, G31
Markov‐Switching Three‐Pass Regression Filter Staff working paper 2017-13 Pierre Guérin, Danilo Leiva-Leon, Massimiliano Marcellino We introduce a new approach for the estimation of high-dimensional factor models with regime-switching factor loadings by extending the linear three-pass regression filter to settings where parameters can vary according to Markov processes. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C2, C22, C23, C5, C53 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Real economy and forecasting