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This paper provides an extensive evaluation of the performance of quantile vector autoregression (QVAR) to forecast macroeconomic risk. Generally, QVAR outperforms standard benchmark models. Moreover, QVAR and QVAR augmented with factors perform equally well. Both are adequate for modeling macroeconomic risks.

This paper studies how a central bank should design a CBDC when private payment providers collect and monetize transaction data. It characterizes the optimal CBDC’s pricing and data policy, and shows how its effects on private payment use and total data depend on market power and data externalities.

Various drivers of business investment can be used to explain the underwhelming performance of investment in advanced economies since the global financial crisis, particularly since 2014. The slow growth in aggregate demand cannot by itself explain the full extent of the recent weakness in investment, which appears to be linked primarily to the collapse of global commodity prices and a rise in economic uncertainty. Looking ahead, business investment growth is likely to remain slower than in the pre-crisis period, largely because of structural factors such as population aging.

Shocks to a currency area can and often do have asymmetric impacts on its regions that, in the absence of perfect labour mobility, lead to gaps in relative labour market performance. Witness, for example, the effects of the 2008/09 recession and subsequent financial crisis in Europe on the dispersion of employment rates across the euro area – and to a lesser extent the United States.

This background note explains the Bank’s official position on CBDC. It outlines the public policy, design, technology and risk management issues the Bank is considering as it builds its capacity to issue a CBDC in case it is needed in the future.

The last few weeks have been a time of turbulence in financial markets. In times such as these, it is common for people to focus on day-by-day or even hour-by-hour events, and to lose sight of the future. But tonight, I want to focus on the future; specifically, the future of inflation targeting in Canada.

Using a nonlinear New Keynesian model with a financial accelerator, we show that financial frictions generate large state-dependent amplification effects. Shocks propagate more strongly in periods of financial stress. We propose an endogenous regime-switching DSGE framework for efficient estimation and improved model fit.

This paper predicts phases of the financial cycle by using a continuous financial stress measure in a Markov switching framework. The debt service ratio and property market variables signal a transition to a high financial stress regime, while economic sentiment indicators provide signals for a transition to a tranquil state.

Until recently, few efforts have been made to systematically measure and aggregate the nominal value of the different types of sovereign government debt in default. To help fill this gap, the Bank of Canada (BoC) developed a comprehensive database of sovereign defaults that is posted on its website and updated in partnership with the Bank of England (BoE).