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This is the fourth of the Financial Markets Department’s descriptions of Canadian financial industrial organization. The paper discusses the organization of the securities lending market in Canada. We outline key characteristics of securities lending contracts, participants in the securities lending market, the market infrastructures that support securities lending activities, and aggregated statistics describing the Canadian market.

Many derivatives markets use collateral requirements calculated with industry-standard but dated methods that are not designed with systemic risk in mind. This paper explores whether the conservative nature of conventional collateral requirements outweighs their lack of consideration of systemic risk.

The stability of the Canadian financial system, as well as its ability to support the Canadian economy, depends on the ability of financial institutions to absorb and manage major shocks. This is especially true for large banks, which perform services essential to the Canadian economy.

Using new regulatory data on residential secured lending from Canadian banks, we assess the growth rate of home equity lines of credit (HELOCs).

Modeling and estimating persistent discrete data can be challenging. In this paper, we use an autoregressive panel probit model where the autocorrelation in the discrete variable is driven by the autocorrelation in the latent variable. In such a non-linear model, the autocorrelation in an unobserved variable results in an intractable likelihood containing high-dimensional integrals.

We create a hypothetical scenario to study the role bond funds play in intensifying shocks to the financial system. Using data from 2018 and 2007, we find that bond funds play a larger role now than they did in the past.

This report provides a detailed technical description of a stress test model for investment funds called Ceto.

Non-bank financing provides an important funding source for the economy and is a valuable alternative to traditional banking. It helps enhance the efficiency and resiliency of the financial system while giving customers more choices for their financial services. Unlike banking, it is not prudentially regulated.

When redeeming shares for investors, bond fund managers must choose a mix of cash and bond sales to honour their commitments. This note uses machine learning algorithms to uncover new patterns in decisions fund managers make to meet redemptions.

This paper presents four blue-sky ideas for lowering the cost of the Government of Canada’s debt without increasing the debt’s risk profile. We argue that each idea would improve the secondary-market liquidity of government debt, thereby increasing the demand for government bonds and thus lowering their cost at issuance.