August 23, 2003 Financial Developments in Canada: Past Trends and Future Challenges Bank of Canada Review - Summer 2003 Charles Freedman, Walter Engert Freedman and Engert focus on the changing pattern of lending and borrowing in Canada in the past thirty to forty years, including the types of financial instruments used and the relative roles of financial institutions and financial markets. They examine how borrowing mechanisms have changed over time and consider the challenges facing the Canadian financial sector, including whether our financial markets are in danger of disappearing because of the size and pre-eminence of U.S. financial markets. Some of the trends examined here include syndicated lending, securitization, and credit derivatives, a form of financial engineering that has become increasingly important in the last few years. They also study bond and equity markets to determine whether Canadian capital markets have been hollowed out or abandoned by Canadian firms and conclude that the data do not provide much support for that view. Content Type(s): Publications, Bank of Canada Review articles
February 10, 2011 Commodity Prices: The Long and the Short of It Remarks John Murray IPAC-Saskatchewan/Johnson/Shoyama Graduate School of Public Policy Regina, Saskatchewan Commodity prices are once again making headlines. Some commodity prices, such as those for copper and cattle, have reached record highs; others are rising quickly and approaching previous peaks. Content Type(s): Press, Speeches and appearances, Remarks
Understanding Post-COVID Inflation Dynamics Staff working paper 2022-50 Martin Harding, Jesper Lindé, Mathias Trabandt We propose a macroeconomic model with a nonlinear Phillips curve that has a flat slope when inflationary pressures are subdued and steepens when inflationary pressures are elevated. Our model can generate more sizable inflation surges due to cost-push and demand shocks than a standard linearized model when inflation is high. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E3, E30, E31, E32, E37, E4, E44, E5, E52 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
The Impact of a Trade War: Assessment of the Current Tariffs and Alternative Scenarios Staff analytical note 2019-20 Karyne B. Charbonneau This note uses Charbonneau and Landry’s (2018) framework to assess the direct impact of the current trade tensions on the Canadian and global economies, as well as possible implications if the conflict escalates further. Overall, my findings show that the estimated impact of current tariffs on real gross domestic product (GDP) remains relatively small, which is in line with the literature on gains from trade, but the impact on trade is much larger. Content Type(s): Staff research, Staff analytical notes JEL Code(s): F, F1, F11, F13, F14, F15, F5, F50, F6, F62, F68 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Real economy and forecasting, Structural challenges, International trade, finance and competitiveness
What cured the TSX Equity index after COVID-19? Staff analytical note 2021-3 Guillaume Ouellet Leblanc, Jean-Sébastien Fontaine, Ryan Shotlander The TSX index rose by 9.5 percent in November 2020, adding large gains to an already sharp V-shaped recovery. The economic outlook improved at that time as well. We ask whether the stock market gains since last autumn are due to improving forecasts of firms’ earnings. Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G12, G14 Research Theme(s): Financial markets and funds management, Market functioning, Monetary policy, Real economy and forecasting
August 15, 2001 Analyzing the Monetary Aggregates Bank of Canada Review - Summer 2001 Dinah Maclean In recent years, the Bank has put renewed emphasis on analyzing monetary variables and on developing models that incorporate money as an active part of the transmission mechanism. In this article, Dinah Maclean describes how the monetary aggregates are used in the formulation of monetary policy analysis at the Bank, outlining the key tools and models used. The most important money-based model currently in use is the M1-VECM. In this model, deviations in the money supply from the long-term demand for money cause changes in inflation. The author briefly describes the "active-money" paradigm underlying this model and explains the key equations within it. Other simpler empirical models are also outlined, including single-equation indicator models for output based on the narrow aggregates, a neural network, and a model based on the broader aggregate M2++. A detailed technical annex provides details on model equations and coefficient values. Content Type(s): Publications, Bank of Canada Review articles
Fintech: Is This Time Different? A Framework for Assessing Risks and Opportunities for Central Banks Staff discussion paper 2017-10 Meyer Aaron, Francisco Rivadeneyra, Samantha Sohal We investigate the risks and opportunities to the mandates of central banks arising from fintech developments. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E4, E42, G, G1, G2, L, L1 Research Theme(s): Financial system, Financial institutions and intermediation, Financial system regulation and oversight, Money and payments, Digital assets and fintech, Payment and financial market infrastructures
Challenges in Implementing Worst-Case Analysis Staff working paper 2018-47 Jon Danielsson, Lerby Ergun, Casper G. de Vries Worst-case analysis is used among financial regulators in the wake of the recent financial crisis to gauge the tail risk. We provide insight into worst-case analysis and provide guidance on how to estimate it. We derive the bias for the non-parametric heavy-tailed order statistics and contrast it with the semi-parametric extreme value theory (EVT) approach. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C0, C01, C1, C14, C5, C58 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods
Estimating Systematic Risk Under Extremely Adverse Market Conditions Staff working paper 2016-22 Maarten van Oordt, Chen Zhou This paper considers the problem of estimating a linear model between two heavy-tailed variables if the explanatory variable has an extremely low (or high) value. We propose an estimator for the model coefficient by exploiting the tail dependence between the two variables and prove its asymptotic properties. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C14, G, G0, G01 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods
Monetary Policy Transmission to Small Business Loan Performance: Evidence from Loan-Level Data Staff working paper 2024-41 Rodrigo Sekkel, Tamon Takamura, Yaz Terajima We analyze the dynamic and heterogeneous responses of small-business loan performance to a monetary-policy shock using loan-level data in Canada. We find evidence of monetary policy transmission through the cash-flow channel and the aggregate demand channel as well as some, though limited, impact of collateral to discipline loan repayment. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C32, E, E1, E17, E3, E37, E5, E52 Research Theme(s): Financial system, Household and business credit, Monetary policy, Monetary policy framework and transmission