This paper continues the work started by Bolder and Stréliski (1999) and considers two alternative classes of models for extracting zero-coupon and forward rates from a set of observed Government of Canada bond and treasury-bill prices.
There is a large body of literature that studies the relationship between financial structure (that is, the degree to which the financial system is either market- or intermediary-based) and long-run economic growth.
This paper clarifies the role and the impact of foreign exchange dealers in the relationship between foreign exchange intervention and nominal exchange rates using a unique dataset that disaggregates trades by dealer and by type of trade.
This paper examines the predictive power of credit spreads from the corporate bond market. The high-yield bond spread and investment-grade spread can explain 68 per cent and 42 per cent of output variations one year ahead, while the term spread based on government debts can explain only 12 per cent of them.
Although dealership government and equity securities have, on the surface, similar market structures, the author demonstrates that some subtle differences exist between them that are likely to significantly affect the way market-makers trade, and as such have an impact on the liquidity that they provide.
This paper examines asset allocation strategies in an extreme value at risk (VaR) framework in which the risk measure is the p-quantile from the extreme value distribution. The main focus is on the allocation problem faced by an extremely risk-averse institution, such as a central bank.
This paper investigates the effects of the continuation of globalization and technological developments on the future of national-level financial markets and trading centres, particularly in smaller countries such as Canada. We foresee the development of a single global market in the most-liquid assets based on equity-market linkages.
Extreme value theory (EVT) has been applied in fields such as hydrology and insurance. It is a tool used to consider probabilities associated with extreme and thus rare events. EVT is useful in modelling the impact of crashes or situations of extreme stress on investor portfolios.