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The observed predictability of excess returns in equity and foreign exchange markets has largely been attributed to the presence of time-varying risk premiums in these markets. For example, excess equity returns were found to be explained by various financial and economic variables.

The authors develop a search model of venture capital in which the number of successful matches of entrepreneurs and venture capitalists (VCs) at any moment in time is a function of the number of entrepreneurs searching for funds, the number of VCs searching for entrepreneurs, and the number of vacancies posted by each VC.

Recent work at the Bank of Canada studied the impact of default in Canada’s large-value payments system, and concluded that participants could readily manage their potential losses (McVanel 2005). In an extension of that work, the authors use a much larger set of daily payments data – with three times as many observations – to […]

We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model.

We develop a model to explain a puzzling trend in cash demand in recent years: the value of bank notes in circulation as a percentage of GDP has remained stable despite decreasing cash usage at points of sale owing to competition from alternative means of payment such as credit cards.

In this report, the authors examine and compare twelve private and public sector models of the Canadian economy with respect to their paradigm, structure, and dynamic properties. These open-economy models can be grouped into two economic paradigms.

The Bank of Canada's new Quarterly Projection Model, QPM, combines the short-term dynamic properties necessary to support regular economic projections with the consistent behavioural structure necessary for policy analysis.

What are the effects of financial market imperfections on unemployment and vacancies in Canada? The author estimates the model of Zhang (2011) – a standard monetary dynamic stochastic general-equilibrium model augmented with explicit financial and labour market frictions – with Canadian data for the period 1984Q2–2010Q4, and uses it to examine the importance of financial shocks on labour market fluctuations in Canada.

In this paper, the authors survey some of the recent techniques proposed in the literature to measure the trend component of output or potential output. Given the reported shortcomings of mechanical filters and univariate approaches to estimate potential output, the paper focusses on three simple multivariate methodologies: the multivariate Beveridge-Nelson methodology (MBN), Cochrane's methodology (CO), and the structural VAR methodology with long-run restrictions applied to output (LRRO).

The Canadian Financial Monitor (CFM) survey uses non-probability sampling for data collection, so selection bias is likely. We outline methods for obtaining survey weights and discuss the conditions necessary for these weights to eliminate selection bias. We obtain calibration weights for the 2018 and 2019 online CFM samples.