G17 - Financial Forecasting and Simulation

• Understanding Systemic Risks in the Canadian Financial System

  Staff analytical paper 2026-28 Gabriel Bruneau, Sascha Clazie-Thomson, Thibaut Duprey, Ruben Hipp, Javier Ojea Ferreiro, Kerem Tuzcuoglu

  This paper reviews recent efforts to monitor and assess systemic risk in the Canadian financial system and outlines a framework for future system-wide stress testing.

  Content Type(s): Staff research, Staff analytical paper JEL Code(s): G, G0, G01, G1, G17, G18, G2, G21, G23, G28 Research Theme(s): Financial system, Financial stability and systemic risk

• Modelling the Sovereign Debt Strategy: A Practical Primer

  Staff discussion paper 2025-16 Nicolas Audet, Adam Epp, Jeffrey Gao, Joe Ning

  We provide a primer on the role of debt modelling in informing the sovereign debt issuance strategy and discuss how specific challenges faced by debt managers can influence model design decisions. These insights are supported by our experiences using the Canadian Debt Strategy Model to guide policy decisions.

  Content Type(s): Staff research, Staff discussion papers JEL Code(s): G, G1, G11, G17, H, H6, H63, H68 Research Theme(s): Financial markets and funds management, Funds management, Models and tools, Economic models

• Simulating the Resilience of the Canadian Banking Sector Under Stress: An Update of the Bank of Canada’s Top-Down Solvency Assessment Tool

  Technical report No. 128 Omar Abdelrahman, David Xiao Chen, Cameron MacDonald, Adi Mordel, Guillaume Ouellet Leblanc

  We present a technical description of the Top-Down Solvency Assessment (TDSA) tool. As a solvency stress-testing tool, TDSA is used to assess the banking sector’s capital resilience to hypothetical future risk scenarios.

  Content Type(s): Staff research, Technical reports JEL Code(s): C, C2, C22, C5, C52, C53, G, G1, G17, G2, G21, G28 Research Theme(s): Financial system, Financial institutions and intermediation, Financial stability and systemic risk, Models and tools, Economic models

• The Dynamic Canadian Debt Strategy Model

  Technical report No. 127 Nicolas Audet, Joe Ning, Adam Epp, Jeffrey Gao

  We present a dynamic debt strategy model framework designed to assist sovereign debt portfolio managers in choosing an optimal debt issuance strategy. The main innovation of this framework is the introduction of dynamic issuance strategies, which allow issuance decisions to vary over time based on the model’s simulated state variables.

  Content Type(s): Staff research, Technical reports JEL Code(s): C, C6, C61, G, G1, G11, G17, H, H6, H63, H68 Research Theme(s): Financial markets and funds management, Funds management, Models and tools, Econometric, statistical and computational methods

• Stress testing central counterparties for resolution planning

  Staff analytical note 2025-11 Katherine Brennan, Bo Young Chang, Alper Odabasioglu, Radoslav Raykov

  The Bank of Canada completed its first resolution plan for the Canadian Derivatives and Clearing Corporation (CDCC) in 2024. To estimate the resolution costs, we apply the extreme value theory method to simulate the credit losses that would result from extreme scenarios where multiple clearing members default at the same time.

  Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G17, G2, G23, G28 Research Theme(s): Financial system, Financial stability and systemic risk, Financial system regulation and oversight, Money and payments, Payment and financial market infrastructures

• Finding the balance—measuring risks to inflation and to GDP growth

  Staff analytical note 2023-18 Bruno Feunou, James Kyeong

  Using our new quantitative tool, we show how the risks to the inflation and growth outlooks have evolved over the course of 2023.

  Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C3, C32, C5, C58, E, E4, E44, G, G1, G17 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Real economy and forecasting

• Forecasting Risks to the Canadian Economic Outlook at a Daily Frequency

  Staff discussion paper 2023-19 Chinara Azizova, Bruno Feunou, James Kyeong

  This paper quantifies tail risks in the outlooks for Canadian inflation and real GDP growth by estimating their conditional distributions at a daily frequency. We show that the tail risk probabilities derived from the conditional distributions accurately reflect realized outcomes during the sample period from 2002 to 2022.

  Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C3, C32, C5, C58, E, E4, E44, G, G1, G17 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting

• 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 JEL Code(s): C, C2, C22, C5, C52, C53, G, G1, G17, G2, G21, G28 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Models and tools, Economic models

• 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 JEL Code(s): C, C1, C15, C6, C61, C63, C68, C7, E, E1, E13, G, G1, G17, G2, G21 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Economic models

• The potential effect of a central bank digital currency on deposit funding in Canada

  Staff analytical note 2020-15 Alejandro García, Bena Lands, Xuezhi Liu, Joshua Slive

  A retail central bank digital currency denominated in Canadian dollars could, in theory, create competition for bank deposit funding.

  Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E4, E41, E44, E5, G, G1, G10, G17, G2, G21, G3, G32, O Research Theme(s): Financial system, Financial institutions and intermediation, Financial stability and systemic risk, Money and payments, Digital assets and fintech