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Senior Deputy Governor Carolyn A. Wilkins discusses technological progress and how policy-makers can harness it for economic growth that benefits everyone.

Business cycles are substantially correlated across countries. Yet most existing models are not able to generate substantial transmission through international trade. We show that the nature of such transmission depends fundamentally on the features determining the responsiveness of labor supply and labor demand to international relative prices.

This article explores the evolution of capital flows to emerging markets over the last 30 years with emphasis on the past decade. Capital markets in emerging-market economies have evolved substantially over the period, becoming increasingly deep and resilient. The author looks at how capital flows to these countries have changed in terms of magnitude, geographical distribution, the financial instruments used, and the country of origin. He also examines how changes in the investor base have affected these flows and reviews the factors underlying the growth of private capital flows in the 1990s.

Multi-stage production is widely recognized as an important feature of the modern global economy. This feature has been incorporated into many state-of-the-art quantitative trade models, and has been shown to deliver significant additional gains from international trade.

We estimate the effect that owning Bitcoin has on the amount of cash held by Canadian consumers. Our results question the view that adopting certain new technologies, such as Bitcoin, leads to a decline in cash holdings.

We build upon new developments in the international trade literature to isolate and quantify the long-run economic impacts of tariff changes on the United States and the global economy.

It has been a difficult year for capital markets professionals. The turmoil has deteriorated into a full-blown financial crisis. Most financial markets have experienced historic falls in prices, and some are strained to the point of closing.

This paper provides a novel methodology for estimating option pricing models based on risk-neutral moments. We synthesize the distribution extracted from a panel of option prices and exploit linear relationships between risk-neutral cumulants and latent factors within the continuous time affine stochastic volatility framework.

Conventional models imply that central banks aiming to raise inflation should lower nominal rates and thus stimulate aggregate demand. However, several economists have recently challenged this conventional wisdom in favour of an alternative “neo-Fisherian’’ view under which higher nominal rates might in fact lead to higher inflation.

We introduce bounded rationality in a canonical New Keynesian model calibrated to match Canadian macroeconomic data since Canada’s adoption of inflation targeting. We use the model to quantitatively assess the macroeconomic impact of alternative monetary policy regimes.