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Diffusion functions in term-structure models are measures of uncertainty about future price movements and are directly related to the risk associated with holding financial securities. Correct specification of diffusion functions is crucial in pricing options and other derivative securities. In contrast to the standard parametric two-factor models, we propose a non-parametric two-factor term-structure model that […]

We consider introducing an expiry date for offline digital currency balances. Consumers whose digital cash expired would automatically receive the funds back into their online account. This functionality could increase demand for digital cash, with the time to expiry playing a key role.

Estimation of the quantile model, especially with a large data set, can be computationally burdensome. This paper proposes using the Gaussian approximation, also known as quantile coupling, to estimate a quantile model.

How does the supply of nominal government debt affect the macroeconomy? To answer this question, we propose a portfolio-balance model of the yield curve in which inflation is determined through an interest rate rule.

Over the past 5 years, real energy and non-energy commodity prices have trended sharply higher. These relative price movements have had important implications for inflation and economic activity in both Canada and the rest of the world. China has accounted for the bulk of incremental demand for oil and many base metals over this period.

Did supply disruptions and cost pressures play a role in rising inflation in 2020 during the COVID-19 pandemic? Using data collected from websites of large retailers in multiple sectors and countries, we show that shortages may indicate transitory inflationary pressures.

The author uses panel data to assess the sensitivity of investment to cash flow in non-financial firms, taking into account the role their financial health plays in investment decisions.

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.

A view advanced in the aftermath of the late-2000s financial crisis is that lower than optimal interest rates lead to excessive risk taking by financial intermediaries.

Understanding the size of sectoral links is crucial to predicting the impact of a crisis on the whole economy. We show that statistical learning techniques substantially outperform traditional estimation techniques when measuring large networks of these links.