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The adoption of inflation targeting (IT) by central banks leads to an increase of 10 to 20 percent in measures of financial development, with a lag. We also find evidence that the financial sector benefits of IT adoption were higher for early-adopting central banks.

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.

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.

Initial coin offerings (ICOs) are a new mode of financing start-ups that saw an explosion in popularity in 2017 but declined in popularity in the second half of 2018 as regulatory pressure, instances of fraud and reports of poor performance began to undermine their reputation.

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 studies dynamic general equilibrium models where firms trade capital in frictional markets. Gains from trade arise due to ex ante heterogeneity: some firms are better at investment, so they build capital in the primary market; others acquire it in the secondary market.

We document countercyclical corporate saving behavior with the degree of countercyclicality varying nonmonotonically with firm size. We then develop a dynamic stochastic general equilibrium model with heterogeneous firms to explain the pattern and study its implications for business cycles.