Financial stability

• 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

• 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.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Asset pricing, Coronavirus disease (COVID-19), Financial stability, Housing JEL Code(s): R, R2, R21, R23, R3, R32
• June 9, 2022

  Release of the Financial System Review

  Opening statement Tiff Macklem, Carolyn Rogers Ottawa, Ontario

  Press conference following the release of the Financial System Review.

  Content Type(s): Press, Speeches and appearances, Opening statements Topic(s): Coronavirus disease (COVID-19), Financial stability, Monetary policy, Recent economic and financial developments