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Understanding what causes the exchange rate to move has been on ongoing challenge for economists. Despite extensive research, traditional macro models of exchange rate determination—with the exception of the Bank of Canada's exchange rate equation—have typically not fared well, motivating economists to explore new ways to model exchange rate movements that incorporate more complex and realistic settings. Within the context of the sharp appreciation of the Canadian dollar in 2003 and 2004, Bailliu and King review the macroeconomic models of exchange rates, as well as the micro-structure studies that highlight the importance of trading mechanisms, information asymmetry, and investor heterogeneity for explaining short-term dynamics in exchange rates. In addition to summarizing the current state of knowledge, they highlight recent advances and identify promising alternative approaches.

In this paper, we analyze the presence of time variation in the pass-through from the nominal effective exchange rate to import prices for 24 advanced economies over the period 1995–2015. In line with earlier studies in the literature, we find substantial heterogeneity in the level of exchange rate pass-through across countries.

Access to information about the future direction of the exchange rate can be extremely valuable in the foreign exchange market. Evidence presented in this article suggests that Canadian dealers are more likely to provide interday liquidity to foreign, rather than Canadian, financial customers, since foreign financial flows can be more informative about future movements in the exchange rate. The author reveals a statistical relationship between the supply of liquidity provided by non-financial firms and that provided by dealing institutions across time, and across markets, and suggests that the relationship between the positions of commercial clients and market-makers, and the role played by dealers in interday liquidity provision, has been understated in the market microstructure literature.

Can securities be settled on a blockchain and, if so, what are the gains relative to existing settlement systems? We consider a blockchain that ensures delivery versus payment by linking transfers of assets with payments and operates using a proof-of-work protocol. The main benefit of a blockchain is faster and more flexible settlement, whereas the challenge is to avoid settlement fails when participants fork the chain to get rid of trading losses.

The common-factor hypothesis is one possible explanation for the housing wealth effect. Under this hypothesis, house price appreciation is related to changes in consumption as long as the available proxies for the common driver of housing and non-housing demand are noisy and housing supply is not perfectly elastic.

We introduce limited information in monetary policy. Agents receive signals from the central bank revealing new information (“news") about the future evolution of the policy rate before changes in the rate actually take place. However, the signal is disturbed by noise.

How exactly does forward guidance influence interest rate expectations?

We propose an early warning model for predicting the likelihood of a financial stress event for a given future time, and examine whether credit plays an important role in the model as a non-linear propagator of shocks.

Technical data relating to the 2001 target renewal.

We document the outcome of an options decimalization pilot on Canada’s derivatives exchange. Decimalization improves measures of liquidity and price efficiency. The impact differs by the moneyness of an option and is greatest for out-of-the-money options.