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367 Results

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

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.

Analyzing the house price boom in the suburbs of Canada’s major cities during the pandemic

Staff Analytical Note 2022-7 Louis Morel
We assess how location affects house prices in Canada. The gap in prices between suburbs and downtown was closing gradually before the pandemic. The gap has been closing faster since spring 2020. This finding reflects a shift in preferences toward more living space.

How well can large banks in Canada withstand a severe economic downturn?

We examine the potential impacts of a severe economic shock on the resilience of major banks in Canada. We find these banks would suffer significant financial losses but nevertheless remain resilient. This underscores the role well-capitalized banks and sound underwriting practices play in supporting economic activity in a downturn.
Content Type(s): Staff research, Staff analytical notes Topic(s): Financial institutions, Financial stability JEL Code(s): E, E2, E27, E3, E37, E4, E44, G, G1, G2, G21, G23

Transmission of Cyber Risk Through the Canadian Wholesale Payment System

Staff Working Paper 2022-23 Anneke Kosse, Zhentong Lu
This paper studies how the impact of a cyber attack that paralyzes one or multiple banks' ability to send payments would transmit to other banks through the Canadian wholesale payment system. Based on historical payment data, we simulate a wide range of scenarios and evaluate the total payment disruption in the system.

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.

Asymmetric Systemic Risk

Staff Working Paper 2022-19 Radoslav Raykov, Consuelo Silva-Buston
Bank regulation presumes risks spill over more easily from large banks to the banking system than vice versa. Interestingly, we observe this is not the case. We find that the capacity to transmit risk is larger in the system-to-bank direction, leading to an increased default risk.

The Financial Origins of Non-fundamental Risk

Staff Working Paper 2022-4 Sushant Acharya, Keshav Dogra, Sanjay Singh
We explore the idea that the financial sector can be a source of non-fundamental risk to the rest of the economy. We also consider whether policy can be used to reduce this risk—either by increasing the supply of publicly backed safe assets or by reducing the demand for safe assets.

Assessing Climate-Related Financial Risk: Guide to Implementation of Methods

A pilot project on climate transition scenarios by the Bank of Canada and the Office of the Superintendent of Financial Institutions assessed climate-related credit and market risks. This report describes the project’s methodologies and provides guidance on implementing them.

Transition Scenarios for Analyzing Climate-Related Financial Risk

Climate transition scenarios clarify climate-related risks to our economy and financial system. This paper summarizes key results of Canada-relevant scenarios developed in a pilot project on climate risk by the Bank of Canada and the Office of the Superintendent of Financial Institutions.
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