Should Central Banks Adjust Their Target Horizons in Response to House-Price Bubbles? Staff Discussion Paper 2007-4 Meenakshi Basant Roi, Rhys R. Mendes The authors investigate the implications of house-price bubbles for the optimal inflation-target horizon using a dynamic general-equilibrium model with credit frictions, house-price bubbles, and small open-economy features. They find that, given the distribution of shocks and inflation persistence over the past 25 years, the optimal target horizon for Canada tends to be at the lower […] Content Type(s): Staff research, Staff discussion papers Research Topic(s): Central bank research, Credit and credit aggregates, Economic models, Inflation targets, Monetary policy framework, Monetary policy transmission JEL Code(s): E, E4, E42, E44, E5, E52, E58, E6, E61
Assessing the Impact of Demographic Composition on Productivity Staff Discussion Paper 2025-3 Justin-Damien Guénette, Lin Shao We examine how demographic factors influence potential output, focusing on how the age distribution of the working-age population and the old-age dependency ratio affect aggregate productivity. Following Feyrer (2007), we emphasize that the contribution to aggregate productivity varies by age group, with middle-aged individuals (aged 40 to 49) being the most productive. Content Type(s): Staff research, Staff discussion papers Research Topic(s): International topics, Potential output, Productivity JEL Code(s): J, J1, J11, O, O4, O47, O5, O51
Resilience of bank liquidity ratios in the presence of a central bank digital currency Staff Analytical Note 2022-5 Alissa Gorelova, Bena Lands, Maria teNyenhuis Could Canadian banks continue to meet their regulatory liquidity requirements after the introduction of a cash-like retail central bank digital currency (CBDC)? We conduct a hypothetical exercise to estimate how a CBDC could affect bank liquidity by increasing the run-off rates of transactional retail deposits under four increasingly severe scenarios. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Central bank research, Digital currencies and fintech, Econometric and statistical methods, Financial institutions, Financial stability JEL Code(s): C, E, E4, G, G2, G21, O, O3, O33
Excess Collateral in the LVTS: How Much is Too Much? Staff Working Paper 2003-36 Kim McPhail, Anastasia Vakos The authors build a theoretical model that generates demand for collateral by Large Value Transfer System (LVTS) participants under the assumption that they minimize the cost of holding and managing collateral for LVTS purposes. The model predicts that the optimal amount of collateral held by each LVTS participant depends on the opportunity cost of collateral, the transactions costs of acquiring assets used as collateral and transferring them in and out of the LVTS, and the distribution of an LVTS participant's payment flows in the LVTS. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial institutions, Payment clearing and settlement systems JEL Code(s): E, E4, E44, G, G2, G21
Did U.S. Consumers Respond to the 2014–2015 Oil Price Shock? Evidence from the Consumer Expenditure Survey Staff Working Paper 2018-13 Patrick Alexander, Louis Poirier The impact of oil price shocks on the U.S. economy is a topic of considerable debate. In this paper, we examine the response of U.S. consumers to the 2014–2015 negative oil price shock using representative survey data from the Consumer Expenditure Survey. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Domestic demand and components, Recent economic and financial developments JEL Code(s): D, D1, D12, E, E2, E21, Q, Q4, Q43
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 Research Topic(s): Econometric and statistical methods, Financial markets JEL Code(s): C, C1, C14, G, G0, G01
Time-Consistent Management of a Liquidity Trap with Government Debt Staff Working Paper 2018-38 Dmitry Matveev This paper studies optimal discretionary monetary and fiscal policy when the lower bound on nominal interest rates is occasionally binding in a model with nominal rigidities and long-term government debt. At the lower bound it is optimal for the government to temporarily reduce debt. Content Type(s): Staff research, Staff working papers Research Topic(s): Fiscal policy, Monetary policy JEL Code(s): E, E5, E52, E6, E62, E63
Simulations du ratio du service de la dette des consommateurs en utilisant des données micro Staff Working Paper 2009-18 Ramdane Djoudad The author constructs a formal analytic framework to simulate the impact of various economic shocks on the household debt-service ratio, using data from the Canadian Financial Monitor (CFM) survey. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial stability JEL Code(s): C, C1, C15, C3, C31, D, D1, D14, E, E5, E51
A Horse Race of Monetary Policy Regimes: An Experimental Investigation Staff Working Paper 2022-33 Olena Kostyshyna, Luba Petersen, Jing Yang How should central banks design monetary policy in stable times and during recessions? We run a horse race between five monetary policy frameworks in an experimental laboratory to assess how well the different approaches can manage the public’s expectations and stabilize the economy. Content Type(s): Staff research, Staff working papers Research Topic(s): Inflation targets, Monetary policy, Monetary policy communications, Monetary policy framework JEL Code(s): C, C9, D, D8, D84, E, E5, E52, E58
High-Frequency Trading Competition Staff Working Paper 2014-19 Jonathan Brogaard, Corey Garriott, Anna Pomeranets We analyze trading dynamics as successive high-frequency trading (HFT) firms begin to trade stocks in an equity market. Entrants compete with incumbents for volume, and there is crowding out. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets, Market structure and pricing JEL Code(s): G, G1, G14, G2, G20, L, L1