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This paper investigates the effects of monetary policy on the risk-taking behavior of fixed-income mutual funds in Canada. We consider different measures of the stance of monetary policy and investigate active variation in mutual funds’ risk exposure in response to monetary policy.

The end result of major sporting events has been shown to affect next-day stock returns through shifts in investor mood. By studying the soccer matches that led to the elimination of France and Italy from the 2010 FIFA World Cup, we show that mood-related pricing effects can materialize as sporting events unfold.

Mortgages constitute the largest part of household debt. An essential choice when taking out a mortgage is between fixed-interest-rate mortgages (FRMs) and adjustable-interest-rate mortgages (ARMs). However, so far, no comprehensive cross‐country study has analyzed what determines household demand for mortgage types, a task that this paper takes up using new data for the euro area.

This paper deals with the estimation of the risk-return trade-off. We use a MIDAS model for the conditional variance and allow for possible switches in the risk-return relation through a Markov-switching specification.

We employ a comprehensive data set and a variety of methods to provide evidence on the magnitude of large banks’ funding advantage in Canada, and on the extent to which market discipline exists across different securities issued by the Canadian banks.

We present CoMargin, a new methodology to estimate collateral requirements for central counterparties (CCPs) in derivatives markets. CoMargin depends on both the tail risk of a given market participant and its interdependence with other participants.

The financial systems of some countries fared materially better than others during the global financial crisis of 2007-09.

Commodity-equity and cross-commodity return co-movements rose dramatically after the 2008 financial crisis. This development took place following what has been dubbed the “financialization” of commodity markets.

This article focuses on a quantitative method to identify financial system vulnerabilities, specifically, an imbalance indicator model (IIM) and its application to Canada. An IIM identifies potential vulnerabilities in a financial system by comparing current economic and financial data with data from periods leading up to past episodes of financial stress. It complements other sources of information - including market intelligence and regular monitoring of the economy - that policy-makers use to assess vulnerabilities.

Changes in technology and regulation have resulted in an increasing number of trading venues in equity markets in Canada. New trading platforms have intensified price competition and have encouraged innovation, and they do not appear to have segmented trade. But the increasingly complex market structure has necessitated investments in expensive technology and has introduced new operational risks. Regulatory responses should be carefully adapted to retain the competition and innovation associated with this market fragmentation.