Gazing at r-star: A Hysteresis Perspective Staff Working Paper 2023-5 Paul Beaudry, Katya Kartashova, Césaire Meh Many explanations for the decline in real interest rates over the last 30 years point to the role that population aging or rising income inequality plays in increasing the long-run aggregate demand for assets. Notwithstanding the importance of such factors, the starting point of this paper is to show that the major change driving household asset demand over this period is instead an increased desire—for a given age and income level—to hold assets. Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Fiscal policy, Inflation and prices, Inflation targets, Interest rates, Monetary policy, Monetary policy framework JEL Code(s): E, E2, E21, E3, E31, E4, E43, E5, E52, E58, E6, E62, G, G5, G51, H, H6
Risk Premium Shocks and the Zero Bound on Nominal Interest Rates Staff Working Paper 2009-27 Robert Amano, Malik Shukayev There appears to be a disconnect between the importance of the zero bound on nominal interest rates in the real-world and predictions from quantitative DSGE models. Recent economic events have reinforced the relevance of the zero bound for monetary policy whereas quantitative models suggest that the zero bound does not constrain (optimal) monetary policy. Content Type(s): Staff research, Staff working papers Research Topic(s): Monetary policy framework JEL Code(s): E, E3, E32, E5, E52
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
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 Research Topic(s): Business fluctuations and cycles, Central bank research, Coronavirus disease (COVID-19), Economic models, Inflation and prices, Inflation: costs and benefits, Monetary policy, Monetary policy implementation JEL Code(s): E, E3, E30, E31, E32, E37, E4, E44, E5, E52
Uncovering Inflation Expectations and Risk Premiums From Internationally Integrated Financial Markets Staff Working Paper 1999-6 Ben Fung, Scott Mitnick, Eli Remolona Theory and empirical evidence suggest that the term structure of interest rates reflects risk premiums as well as market expectations about future inflation and real interest rates. We propose an approach to extracting such premiums and expectations by exploiting both the comovements among interest rates across the yield curve and between two countries, Canada and […] Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets, Inflation and prices, Interest rates, International topics JEL Code(s): E, E4, E43, G, G1, G12, G15
Harnessing the benefit of state-contingent forward guidance Staff Analytical Note 2022-13 Vivian Chu, Yang Zhang A low level of the neutral rate of interest increases the likelihood that a central bank’s policy rate will reach its effective lower bound (ELB) in future economic downturns. In a low neutral rate environment, using an extended monetary policy toolkit including forward guidance helps address the ELB challenge. Using the Bank’s Terms-of-Trade Economic Model, we assess the benefits and limitations of a state-contingent forward guidance implemented within a flexible inflation targeting framework. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Central bank research, Economic models, Monetary policy framework, Monetary policy transmission JEL Code(s): E, E2, E27, E3, E37, E4, E5, E52, E58
May 13, 2004 Business Outlook Survey - Spring 2004 Businesses’ expectations for the pace of economic activity over the next 12 months remain positive, although somewhat less so than in the winter survey.Supplemental questions on the appreciation of the Canadian dollar - April 2004Supplemental questions on the appreciation of the Canadian dollar - February 2004 Content Type(s): Publications, Business Outlook Survey
Eggs in One Basket: Security and Convenience of Digital Currencies Staff Working Paper 2021-6 Charles M. Kahn, Francisco Rivadeneyra, Tsz-Nga Wong Digital currencies store balances in anonymous electronic addresses. This paper analyzes the trade-offs between the safety and convenience of aggregating balances in addresses, electronic wallets and banks. Content Type(s): Staff research, Staff working papers Research Topic(s): Central bank research, Digital currencies and fintech, Financial services, Payment clearing and settlement systems JEL Code(s): E, E4, E42, E5, E51, E58
Debt Overhang and Deleveraging in the US Household Sector: Gauging the Impact on Consumption Staff Working Paper 2015-47 Bruno Albuquerque, Georgi Krustev Using a novel dataset for the US states, this paper examines whether household debt and the protracted debt deleveraging help explain the dismal performance of US consumption since 2007, in the aftermath of the housing bubble. Content Type(s): Staff research, Staff working papers Research Topic(s): Credit and credit aggregates, Econometric and statistical methods, International topics JEL Code(s): C, C1, C13, C2, C23, C5, C52, D, D1, D12, H, H3, H31
Finding a Needle in a Haystack: A Machine Learning Framework for Anomaly Detection in Payment Systems Staff Working Paper 2024-15 Ajit Desai, Anneke Kosse, Jacob Sharples Our layered machine learning framework can enhance real-time transaction monitoring in high-value payment systems, which are a central piece of a country’s financial infrastructure. When tested on data from Canadian payment systems, it demonstrated potential for accurately identifying anomalous transactions. This framework could help improve cyber and operational resilience of payment systems. Content Type(s): Staff research, Staff working papers Research Topic(s): Digital currencies and fintech, Financial institutions, Financial services, Financial system regulation and policies, Payment clearing and settlement systems JEL Code(s): C, C4, C45, C5, C55, D, D8, D83, E, E4, E42