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Our paper employs smartphone data to construct an improved cash access metric by accounting for both spatial agglomeration and households’ travel patterns. We find that incorporating trip-chaining into the travel metric could show that travel costs are from 15 to 25% less than not incorporating trip-chaining and that the biggest decrease is driven by rural residents.

The authors examine whether simple measures of Canadian equity and housing price misalignments contain leading information about output growth and inflation.

Canada transitioned to a new wholesale payment system, Lynx, in August 2021. Lynx is based on a real-time settlement model that eliminates credit risk in the system. This model can require more liquidity; however, Lynx’s design allows Canada’s wholesale payments to settle efficiently.

As the Government of Canada’s fiscal agent, the Bank of Canada provides strategic policy advice on the management of the government’s debt, in addition to being responsible for conducting debt-management operations. In this article, the authors review the evolution of the debt strategy over the past 20 years and outline the complex process of developing a sound strategy that balances various cost and risk considerations. This includes an examination of the tools and practices used to develop the new medium-term debt-management strategy, such as the modelling approach involved, market consultations and various debt-management metrics.

Financial and monetary variables have long been known to contain useful leading information regarding economic activity. In this paper, the authors wish to determine whether the forecasting performance of such variables can be improved using neural network models. The main findings are that, at the 1-quarter forecasting horizon, neural networks yield no significant forecast improvements. […]

This paper evaluates linear and non-linear forecast-combination methods. Among the non-linear methods, we propose a nonparametric kernel-regression weighting approach that allows maximum flexibility of the weighting parameters.

The financial system makes an important contribution to the welfare of all Canadians. The ability of households and firms to confidently hold and transfer financial assets is one of the fundamental building blocks of the Canadian economy.

In its role as fiscal agent to the government, the Bank of Canada provides analysis and advice on decisions about the government's domestic debt portfolio. Debt-management decisions depend on assumptions about future interest rates, macroeconomic outcomes, and fiscal policy, yet when a debt-strategy decision is taken, none of these factors can be known with certainty. Moreover, the government has various financing options (i.e., treasury bills, nominal bonds, and inflation-linked bonds) to meet its objectives of minimizing debt-service charges while simultaneously ensuring a prudent risk profile and well-functioning government securities markets. Bank of Canada staff have therefore developed a mathematical model to assist in the decision-making process. This article describes the key aspects of the debt manager's challenge and the principal assumptions incorporated in the debt-strategy model, illustrated with specific results.

The objective of this paper is twofold. First, we assess whether financial education might be a suitable tool to promote the financial inclusion opportunities that big techs provide. Second, we study how this potential financial inclusion could impact financial stability.