Financial system

• The Effect of Mortgage Rate Resets on Debt: Evidence from TransUnion (Part I)

  Staff analytical note 2020-2 Katya Kartashova

  This note studies how decreases in mortgage rates affect the behaviour of borrowers in terms of spending on durable goods and repaying debt.

  Content Type(s): Staff research, Staff analytical notes JEL Code(s): D, D1, D12, D14, E, E4, E43, E5, E52, G, G2, G21, R, R3, R31 Research Theme(s): Financial system, Household and business credit, Monetary policy, Monetary policy framework and transmission

• A Spatial Model of Bank Branches in Canada

  Staff working paper 2020-4 Heng Chen, Matthew Strathearn

  Using data on bank branch locations across Canada from 2008 to 2018, we explore an interesting aspect of bank branch competition—geographic concentration. We find that bank branch density does not correlate with geographic and market concentration; however, we do find strong correlation with postal-code demographics.

  Content Type(s): Staff research, Staff working papers JEL Code(s): L, L1, R, R3 Research Theme(s): Financial markets and funds management, Market structure, Financial system, Financial institutions and intermediation

• Managing GDP Tail Risk

  Staff working paper 2020-3 Thibaut Duprey, Alexander Ueberfeldt

  Models for macroeconomic forecasts do not usually take into account the risk of a crisis—that is, a sudden large decline in gross domestic product (GDP). However, policy-makers worry about such GDP tail risk because of its large social and economic costs.

  Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, E, E4, E44, E5, E52, E58, G, G0, G01 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission

• Contagion in Dealer Networks

  Staff working paper 2020-1 Jean-Sébastien Fontaine, Adrian Walton

  Dealers connect investors who want to buy or sell securities in financial markets. Over time, dealers and investors form trading networks to save time and resources. An emerging field of research investigates how networks form.

  Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, G, G1, G2, G21, L, L1, L14 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Financial system, Financial institutions and intermediation, Financial stability and systemic risk

• Creations and Redemptions in Fixed-Income Exchange-Traded Funds: A Shift from Bonds to Cash

  Staff analytical note 2019-34 Rohan Arora, Sébastien Betermier, Guillaume Ouellet Leblanc, Adriano Palumbo, Ryan Shotlander

  The creation and redemption activity of fixed-income exchange-traded funds listed in the United States has shifted. Funds of established issuers have traditionally exchanged their shares for baskets of bonds. In contrast, young funds managed by new issuers tend to create and redeem their shares almost exclusively in cash. Cash transactions imply that new funds are taking on exposure to liquidity risk. This has implications for financial stability.

  Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G2, G20, G23 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk

• Furor over the Fed : Presidential Tweets and Central Bank Independence

  Staff analytical note 2019-33 Antoine Camous, Dmitry Matveev

  We illustrate how market data can be informative about the interactions between monetary and fiscal policy. Federal funds futures are private contracts that reflect investor’s expectations about monetary policy decisions.

  Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E4, E44, E5, E52, E58 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk, Monetary policy, Monetary policy framework and transmission

• Model Uncertainty and Wealth Distribution

  Staff working paper 2019-48 Edouard Djeutem, Shaofeng Xu

  This paper studies the implications of model uncertainty for wealth distribution in a tractable general equilibrium model with a borrowing constraint and robustness à la Hansen and Sargent (2008). Households confront model uncertainty about the process driving the return of the risky asset, and they choose robust policies.

  Content Type(s): Staff research, Staff working papers JEL Code(s): D, D3, D8, E, E2 Research Theme(s): Financial system, Household and business credit, Models and tools, Economic models, Monetary policy, Real economy and forecasting

• The Cyber Incident Landscape

  Staff analytical note 2019-32 Nikil Chande, Dennis Yanchus

  The Canadian financial system is vulnerable to cyber threats. But for many firms, cyber risk is difficult to quantify. We examine public information on past cyber incidents to better understand the current risk landscape and find that a holistic view is needed to fully grasp the nature of this risk.

  Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G2, G28, M, M1, M15, O, O3, O33, O38 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk

• Changing Fortunes: Long-Termism—G-Zero, Artificial Intelligence and Debt

  Staff discussion paper 2019-12 Stephen S. Poloz

  This paper discusses three long-term forces that are acting on the global economy and their implications for companies and policy-makers.

  Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E6, E63, F, F0, F02, F1, F15, F5, F53, F6, H, O, O1, O11, O3, O33 Research Theme(s): Financial system, Financial stability and systemic risk, Structural challenges, Demographics and labour supply, Digitalization and productivity, International trade, finance and competitiveness

• Loan Insurance, Market Liquidity, and Lending Standards

  Staff working paper 2019-47 Toni Ahnert, Martin Kuncl

  We examine loan insurance—credit risk transfer upon origination—in a model in which lenders can screen, learn loan quality over time, and can sell loans. Some lenders with low screening ability insure, benefiting from higher market liquidity of insured loans while forgoing the option to exploit future information about loan quality.

  Content Type(s): Staff research, Staff working papers JEL Code(s): G, G0, G01, G2, G21, G28 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial institutions and intermediation, Financial stability and systemic risk, Household and business credit