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Implications for signal extraction from specifying unobserved components (UC) models with correlated or orthogonal innovations have been well investigated. In contrast, the forecasting implications of specifying UC models with different state correlation structures are less well understood.

Using the quantum Monte Carlo algorithm, we study whether quantum computing can improve the run time of economic applications and challenges in doing so. We apply the algorithm to two models: a stress testing bank model and a DSGE model solved with deep learning. We also present innovations in the algorithm and benchmark it to classical Monte Carlo.

Crowdfunding may enable unique products to reach the consumer market. I model a crowdfunding technology that publicly screens consumer demand early in the production process. In this model, entrepreneurs like crowdfunding for risky projects where demand is uncertain, but not for large, safe projects or for projects where production costs are uncertain.

We look at the informational content of consensus pricing in opaque over-the-counter markets. We show that the availability of price data informs participants mainly about other participants’ valuations, rather than about the value of a financial security.

Models for macroeconomic forecasts do not usually take into account the risk of a crisis—that is, a sudden large decline in gross domestic product (GDP). However, policy-makers worry about such GDP tail risk because of its large social and economic costs.

We quantitatively assess the changes in participants’ payment behaviour from modernizing Canada's high-value payments system to Lynx. Our analysis suggests that Lynx's liquidity-saving mechanism encourages liquidity pooling and early payments submission, resulting in improved efficiency for participants but with slightly increased payment delays.

This note introduces several market-based indicators and examines how they can further inform the Bank of Canada’s vulnerability assessment of Canadian financial institutions. Market-based indicators of leverage suggest that the solvency risk for major Canadian banks has increased since the beginning of the oil-price correction in the second half of 2014.

Economic growth in Canada is expected to average about 2 1/2 per cent in 2014 and 2015 before easing to around the 2 per cent growth rate of the economy’s potential in 2016.

How do “cooling measures” in the housing market—policies aimed to stabilize prices—affect the market? We use a structural model of housing demand and price competition among developers to evaluate China’s home purchase restriction policies implemented in 2010–11.

We assess the Canadian nominal neutral rate to be in the range of 2.25% to 3.25%, unchanged from our assessment in 2025. We assess the US nominal neutral rate to be in the range of 2.50% to 3.50%, somewhat higher than the range of 2.25% to 3.25% reported in the 2025 assessment.