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Technology, risk tolerance and regulation may influence dealers to reduce their trading as principals (using their own balance sheets for sales and purchases of securities) in favour of agency trading (matching client trades).

Do banks realize simultaneous trading losses because they invest in the same assets, or because different assets are subject to the same macro shocks? This paper decomposes the comovements of bank trading losses into two orthogonal channels: portfolio overlap and common shocks.

In this study, we enhance Markowitz portfolio selection with graph theory for the analysis of two portfolios composed of either EU or US assets. Using a threshold-based decomposition of their respective covariance matrices, we perturb the level of risk in each portfolio and build the corresponding sets of graphs.

Since 2009, the G-20 Framework for Strong, Sustainable and Balanced Growth has provided a mechanism for international macroeconomic policy coordination. The Framework has had some successes, including agreement on objectives for fiscal consolidation. However, post-crisis global growth has been neither strong nor balanced. Progress has also been slow in developing credible fiscal consolidation plans in some advanced countries and in increasing exchange rate flexibility in certain emerging economies. A stronger peer review process and enhanced analysis of international spillovers would increase the Framework’s influence on member policies.

We construct a macroeconomic estimate of total AI production in the United States, combining inference and R&D/training activities with quality adjustments to account for algorithmic progress. We then develop a nascent framework for "AI GDP" that tracks the AI economy as a coherent whole, complementing traditional national accounts.

This article examines the incentives for banks to hold various assets on their balance sheets for use as collateral when the opportunity cost of doing so can be high. Focusing on the five-year period (2002-07) that preceded the financial crisis, it examines the choices made by financial institutions among the assets that are pledged as collateral in Canada's Large Value Transfer System. This serves as a baseline for collateral-management practices during relatively normal times. The results of this study are important for policy-makers, especially the Bank of Canada, which is concerned both about the efficient functioning of fixed-income markets and about the credit risk it ultimately bears in insuring LVTS settlement. The results suggest that relative market liquidity and market-making capacity are important factors in the choice of securities pledged as collateral in the LVTS.

ToTEM III is the most recent generation of the Bank of Canada’s main dynamic stochastic general equilibrium model for projection and policy analysis. The model helps Bank staff tell clear and coherent stories about the Canadian economy’s current state and future evolution.

Dealers connect investors who want to buy or sell securities in financial markets. Over time, dealers and investors form trading networks to save time and resources. An emerging field of research investigates how networks form.

How much discretion should local financial regulators in a banking union have in accommodating local credit demand? I analyze this question in an economy where local regulators privately observe expected output from high lending. They do not fully internalize default costs from high lending since deposit insurance cannot be priced fairly.

The premium on “on-the-run” Treasuries is an anomaly. I explain it using a model in which primary dealers hold inventories of Treasuries. I use the model to analyze the effects of granting access to central bank facilities.