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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.
September 20, 2024

Artificial intelligence, the economy and central banking

Remarks Tiff Macklem National Bureau of Economic Research, Economics of Artificial Intelligence Conference Toronto, Ontario
Bank of Canada Governor Tiff Macklem discusses how artificial intelligence could impact the economy, and outlines some of the implications for monetary policy.

Central Bank Digital Currency and Banking: Macroeconomic Benefits of a Cash-Like Design

Staff working paper 2021-63 Jonathan Chiu, Mohammad Davoodalhosseini
Should a CBDC be more like cash or bank deposits? An interest-bearing, cash-like CBDC not only makes payments more efficient but also increases total demand. This has positive effects on other transactions, inducing more deposit taking and lending and, thus, bank intermediation.

What Drives Episodes of Settlement Fails in the Government of Canada Bond Market?

We study settlement fails for trades in the Government of Canada bond market. We find that settlement fails do not occur independently. Using a novel and comprehensive dataset, we examine three drivers of fails.

Are Bank Bailouts Welfare Improving?

Staff working paper 2021-56 Malik Shukayev, Alexander Ueberfeldt
Financial sector bailouts, while potentially beneficial during a crisis, might lead to excessive risk taking if anticipated. Taking expectations and aggregate risk implications into account, we show that bailouts can be welfare improving, but only if capital adequacy constraints are sufficiently tight.

Complementing the Credit Risk Assessment of Financial Counterparties with Market-Based Indicators

Staff analytical note 2017-15 Guillaume Ouellet Leblanc, Maarten van Oordt
The Bank’s internal credit risk assessment abilities are regularly enhanced. In this note, we present a recent innovation that extends the set of market-based indicators used in the credit risk assessment of financial counterparties.

Digital Payments in Firm Networks: Theory of Adoption and Quantum Algorithm

We build a network formation game of firms with trade flows to study the adoption and usage of a new digital currency as an alternative to correspondent banking.
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