G2 - Financial Institutions and Services

• November 22, 2022

  Tracking the financial vulnerabilities of households and the housing market

  The Bank of Canada is publishing a new set of indicators of financial vulnerabilities. This will allow households, the private sector, financial authorities and governments to better understand and monitor the evolution of two key vulnerabilities in the financial system: the elevated level of household indebtedness and high house prices.

  Content Type(s): Publications, Financial System Hub articles Topic(s): Credit and credit aggregates, Financial stability, Housing, Monetary and financial indicators, Recent economic and financial developments, Sectoral balance sheet JEL Code(s): D, D1, D14, D8, D84, E, E5, G, G2, G21, R, R2, R21

• Variable-rate mortgages with fixed payments: Examining trigger rates

  Staff Analytical Note 2022-19 Stephen Murchison, Maria teNyenhuis

  We estimate the share of variable-rate mortgages with fixed payments that reached the so-called trigger rate—the interest rate at which mortgage payments no longer cover the principal. Amid rising interest rates, this share was close to 50% at the end of October 2022 and could potentially reach 65% in 2023.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Credit and credit aggregates, Financial institutions, Interest rates, Recent economic and financial developments JEL Code(s): D, D1, E, E4, E5, G, G2, G21

• Considerations for the allocation of non-default losses by financial market infrastructures

  Staff Analytical Note 2022-16 Daniele Costanzo, Radoslav Raykov

  Non-default losses of financial market infrastructures (FMIs) have gained attention due to their potential impacts on FMIs and FMI participants, and the lack of a common approach to address them. A key question is, who should absorb these losses?

  Content Type(s): Staff research, Staff analytical notes Topic(s): Financial markets, Financial system regulation and policies JEL Code(s): G, G2, G23, G28, G3, G32, G33

• Grasping De(centralized) Fi(nance) Through the Lens of Economic Theory

  Staff Working Paper 2022-43 Jonathan Chiu, Charles M. Kahn, Thorsten Koeppl

  We analyze the value proposition and limitations of decentralized finance (DeFi). Based on a distributed ledger and smart contracts, DeFi can guarantee the execution of financial contracts, potentially lowering the costs of intermediation and improving financial inclusion.

  Content Type(s): Staff research, Staff working papers Topic(s): Digital currencies and fintech, Payment clearing and settlement systems JEL Code(s): G, G2

• Forecasting Banks’ Corporate Loan Losses Under Stress: A New Corporate Default Model

  Technical Report No. 122 Gabriel Bruneau, Thibaut Duprey, Ruben Hipp

  We present a new corporate default model, one of the building blocks of the Bank of Canada’s bank stress-testing infrastructure. The model is used to forecast corporate loan losses of the Canadian banking sector under stress.

  Content Type(s): Staff research, Technical reports Topic(s): Economic models, Financial institutions, Financial stability, Financial system regulation and policies JEL Code(s): C, C2, C22, C5, C52, C53, G, G1, G17, G2, G21, G28

• How does the Bank of Canada’s balance sheet impact the banking system?

  Staff Analytical Note 2022-12 Daniel Bolduc-Zuluaga, Brad Howell, Grahame Johnson

  We examine how changes in the Bank of Canada’s balance sheet impact the banking system. Quantitative easing contributed to an increase in the size of the banking system’s balance sheet and an improvement in bank liquidity coverage ratios. Quantitative tightening is expected to partially reverse these impacts. The banking system will have to adjust its liquidity management strategy in response.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Financial institutions, Financial stability, Monetary policy JEL Code(s): E, E5, E51, G, G2, G21, G23, G3, G32

• COVID-19 and Financial Stability: Practice Ahead of Theory

  Staff Discussion Paper 2022-18 Jing Yang, Hélène Desgagnés, Grzegorz Halaj, Yaz Terajima

  The COVID-19 pandemic uncovered policy challenges related to the economic measures that were taken to support the economy. Two years later, we attempt to identify the broader impact of these measures and research that needs to follow.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Coronavirus disease (COVID-19), Financial stability, Financial system regulation and policies JEL Code(s): E, E5, E58, E6, E61, G, G2, G21, H, H3, H8, H84

• Cyber Risk and Security Investment

  Staff Working Paper 2022-32 Toni Ahnert, Michael Brolley, David Cimon, Ryan Riordan

  We develop a principal-agent model of cyber-attacking with fee-paying clients who delegate security decisions to financial platforms. We derive testable implications about clients’ vulnerability to cyber attacks and about the fees charged.

  Content Type(s): Staff research, Staff working papers Topic(s): Economic models, Financial services, Financial stability, Financial system regulation and policies, Payment clearing and settlement systems JEL Code(s): D, D7, D78, D8, D81, G, G1, G18, G2, G21, G23

• Fixed-income dealing and central bank interventions

  Staff Analytical Note 2022-9 David Cimon, Adrian Walton

  We summarize the theoretical model of central bank asset purchases developed in Cimon and Walton (2022). The model helps us understand how asset purchases ease pressures on investment dealers to restore market conditions in a crisis.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Coronavirus disease (COVID-19), Economic models, Financial institutions, Financial markets, Market structure and pricing JEL Code(s): G, G1, G10, G2, G20, L, L1, L10

• Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning

  Staff Working Paper 2022-29 Vladimir Skavysh, Sofia Priazhkina, Diego Guala, Thomas Bromley

  Using the quantum Monte Carlo algorithm, we study whether quantum computing can improve the run time of economic applications and challenges in doing so. We apply the algorithm to two models: a stress testing bank model and a DSGE model solved with deep learning. We also present innovations in the algorithm and benchmark it to classical Monte Carlo.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Central bank research, Econometric and statistical methods, Economic models, Financial stability JEL Code(s): C, C1, C15, C6, C61, C63, C68, C7, E, E1, E13, G, G1, G17, G2, G21