E4 - Money and Interest Rates

• Technology Approach for a CBDC

  Staff Analytical Note 2020-6 Dinesh Shah, Rakesh Arora, Han Du, Sriram Darbha, John Miedema, Cyrus Minwalla

  In this note, we highlight a range of technical options and considerations in designing a contingent system for a central bank digital currency (CBDC) in Canada and explore how these options achieve stated public policy goals.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Central bank research, Digital currencies and fintech JEL Code(s): E, E4, E42, E5, E51, O, O3, O31

• CBDC and Monetary Policy

  Staff Analytical Note 2020-4 Mohammad Davoodalhosseini, Francisco Rivadeneyra, Yu Zhu

  Improving the conduct of monetary policy is unlikely to be the main motivation for central banks to issue a central bank digital currency (CBDC). While some argue that a CBDC could allow more complex transfer schemes or the ability to break below the zero lower bound, we find these benefits might be small or difficult to realize in practice.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Digital currencies and fintech, Monetary policy, Payment clearing and settlement systems JEL Code(s): E, E4, E41, E5, E51, E52

• 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 Topic(s): Credit and credit aggregates, Housing, Interest rates, Monetary policy, Monetary policy transmission JEL Code(s): D, D1, D12, D14, E, E4, E43, E5, E52, G, G2, G21, R, R3, R31

• The Power of Helicopter Money Revisited: A New Keynesian Perspective

  Staff Discussion Paper 2020-1 Thomas J. Carter, Rhys R. Mendes

  We analyze money financing of fiscal transfers (helicopter money) in two simple New Keynesian models: a “textbook” model in which all money is non-interest-bearing (e.g., all money is currency), and a more realistic model with interest-bearing reserves.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Credibility, Economic models, Fiscal policy, Inflation targets, Interest rates, Monetary policy, Monetary policy and uncertainty, Monetary policy framework, Monetary policy transmission JEL Code(s): E, E1, E12, E4, E41, E43, E5, E51, E52, E58, E6, E61, E63

• 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 Topic(s): Central bank research, Economic models, Financial stability, Financial system regulation and policies, Interest rates, Monetary policy, Monetary policy framework JEL Code(s): D, D8, E, E4, E44, E5, E52, E58, G, G0, G01

• 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 Topic(s): Financial markets, Market structure and pricing, Payment clearing and settlement systems JEL Code(s): E, E4, G, G1, G2, G21, L, L1, L14

• 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 Topic(s): Central bank research, Credibility, Financial markets, Monetary policy JEL Code(s): E, E4, E44, E5, E52, E58

• 2018 Merchant Acceptance Survey

  Staff Analytical Note 2019-31 Kim Huynh, Gradon Nicholls, Mitchell Nicholson

  In 2015, the Bank of Canada surveyed merchants and found that cash was nearly universally accepted (Fung, Huynh and Kosse 2017). Since 2015, retail payments in Canada have become increasingly digitalized, as many Canadians have adopted digital payment innovations like contactless cards and Interac e-Transfer.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C8, D, D2, D22, E, E4, L, L2

• 2018 Bitcoin Omnibus Survey: Awareness and Usage

  Staff Discussion Paper 2019-10 Christopher Henry, Kim Huynh, Gradon Nicholls, Mitchell Nicholson

  The Bank of Canada continues to use the Bitcoin Omnibus Survey (BTCOS) to monitor trends in Canadians’ awareness, ownership and use of Bitcoin. The most recent iteration was conducted in late 2018, following an 85 percent decline in the price of Bitcoin throughout the year.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C1, C12, E, E4, O, O5, O51

• Cashless Bank Branches in Canada

  Staff Analytical Note 2019-29 Walter Engert, Ben Fung

  Cashless or tellerless bank branches have proliferated in several countries in recent years. In a cashless bank branch, teller or counter services such as cash withdrawals, deposits and cheque-cashing are not available.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Bank notes, Digital currencies and fintech, Financial services JEL Code(s): E, E4, E41, E42, E5, E51