Dating Systemic Financial Stress Episodes in the EU Countries Staff working paper 2016-11 Benjamin Klaus, Tuomas Peltonen, Thibaut Duprey This paper introduces a new methodology to date systemic financial stress events in a transparent, objective and reproducible way. The financial cycle is captured by a monthly country-specific financial stress index. 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 markets, Financial stability, Financial system regulation and policies, Monetary and financial indicators 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
Measuring Systemic Risk Across Financial Market Infrastructures Staff working paper 2016-10 Fuchun Li, Héctor Pérez Saiz We measure systemic risk in the network of financial market infrastructures (FMIs) as the probability that two or more FMIs have a large credit risk exposure to the same FMI participant. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial stability, Payment clearing and settlement systems JEL Code(s): C, C5, C58, G, G2, G21, G23 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Money and payments, Payment and financial market infrastructures
Understanding Firms’ Inflation Expectations Using the Bank of Canada’s Business Outlook Survey Staff working paper 2016-7 Simon Richards, Matthieu Verstraete Inflation expectations are a key determinant of actual and future inflation and thus matter for the conduct of monetary policy. We study how firms form their inflation expectations using quarterly firm-level data from the Bank of Canada’s Business Outlook Survey, spanning the 2001 to 2015 period. Content Type(s): Staff research, Staff working papers Research Topic(s): Central bank research, Credibility, Econometric and statistical methods, Firm dynamics, Inflation and prices, Inflation targets, Monetary policy framework JEL Code(s): C, C1, C2, C25, D, D2, D21, D8, D84, E, E3, E31, E5, E52, E58 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
Macroeconomic Uncertainty Through the Lens of Professional Forecasters Staff working paper 2016-5 Soojin Jo, Rodrigo Sekkel We analyze the evolution of macroeconomic uncertainty in the United States, based on the forecast errors of consensus survey forecasts of different economic indicators. Comprehensive information contained in the survey forecasts enables us to capture a real-time subjective measure of uncertainty in a simple framework. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C3, C38, E, E1, E17, E3, E32 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
What Is Behind the Weakness in Global Investment? Staff discussion paper 2016-5 Maxime Leboeuf, Robert Fay The recovery in private business investment globally remains extremely weak more than seven years after the financial crisis. This paper contributes to the ongoing policy debate on the factors behind this weakness by analyzing the role of growth prospects and uncertainty in explaining developments in non-residential private business investment in large advanced economies since the crisis. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Business fluctuations and cycles, Central bank research, Domestic demand and components, Economic models, International topics, Monetary policy and uncertainty, Recent economic and financial developments JEL Code(s): C, C2, C23, C3, C33, D, D2, D24, D8, D80, D84, E, E2, E22, F, F0, F01, G, G3, G31 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
New Housing Registrations as a Leading Indicator of the BC Economy Staff discussion paper 2016-3 Calista Cheung, Dmitry Granovsky Housing starts and building permits data are commonly used as leading indicators of economic activity. In British Columbia, all new homes must be registered with the Homeowner Protection Office, a branch of BC Housing, before the issuance of building permits and the start of construction. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Business fluctuations and cycles, Housing, Regional economic developments JEL Code(s): C, C1, C13, C5, C53, E, E3, E32, E37 Research Theme(s): Financial system, Household and business credit, Monetary policy, Real economy and forecasting
May 14, 2015 The Use of Cash in Canada Bank of Canada Review - Spring 2015 Ben Fung, Kim Huynh, Gerald Stuber The Bank of Canada’s 2013 Methods-of-Payment Survey indicates that the share of cash in the overall number of retail transactions has continued to decrease, mainly because of increased use of contactless credit cards. The share of cash in the total value of retail transactions was virtually unchanged from 2009 to 2013. In particular, the value share of cash transactions above $50 increased. Automated banking machines (ABMs), still the major source of cash for Canadians, were used less often in 2013 than in 2009. Cash use in Canada is broadly similar to that in Australia and the United States. Content Type(s): Publications, Bank of Canada Review articles Research Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods, Financial system regulation and policies, Payment clearing and settlement systems JEL Code(s): C, C8, C83, E, E4, E42, G, G2, G21, L, L8, L81
November 13, 2014 Recent Developments in Experimental Macroeconomics Bank of Canada Review - Autumn 2014 Robert Amano, Oleksiy Kryvtsov, Luba Petersen This article describes experimental economics, in general, and new developments in experimental macroeconomics, in particular. The approach has a clear niche in providing evidence on economic phenomena that cannot be observed directly or that are difficult to measure. Experimental work conducted by Bank of Canada economists has shed light on a number of issues important to monetary policy, such as the relative efficacy between price-level and inflation targeting, and the nature of inflation expectations formation. Content Type(s): Publications, Bank of Canada Review articles Research Topic(s): Inflation and prices, Monetary policy framework JEL Code(s): C, C9, E, E3, E31, E5, E52
June 12, 2014 Stress Testing the Canadian Banking System: A System-Wide Approach Financial System Review - June 2014 Kartik Anand, Guillaume Bédard-Pagé, Virginie Traclet Stress testing is an important tool used by financial authorities and entities around the world to evaluate potential risks to the financial system. Kartik Anand, Guillaume Bédard-Pagé and Virginie Traclet discuss different stress-testing approaches, with emphasis on the innovative and analytically rigorous model developed by the Bank of Canada: the MacroFinancial Risk Assessment Framework (MFRAF). They also present the stress-test results obtained in the context of the 2013 Canada Financial Sector Assessment Program led by the International Monetary Fund, including the important contributions made by the use of MFRAF in the exercise. Content Type(s): Publications, Financial System Review articles Research Topic(s): Financial institutions, Financial stability JEL Code(s): C, C6, C63, G, G0, G01, G2, G21
May 13, 2014 The Art and Science of Forecasting the Real Price of Oil Bank of Canada Review - Spring 2014 Christiane Baumeister Forecasts of the price of crude oil play a significant role in the conduct of monetary policy, especially for commodity producers such as Canada. This article presents a range of recently developed forecasting models that, when pooled together, can generate, on average, more accurate forecasts of the price of oil than the oil futures curve. It also illustrates how policy-makers can evaluate the risks associated with the baseline oil price forecast and how they can determine the causes of past oil price fluctuations. Content Type(s): Publications, Bank of Canada Review articles Research Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C53, E, E3, E32, Q, Q4, Q43