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The uncertainty around future changes to the Federal Reserve target rate varies over time. In our results, the main driver of uncertainty is a “path” factor signaling information about future policy actions, which is filtered from federal funds futures data.

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.

Does the transmission of monetary policy change when interest rates are low or negative? We shed light on this question by analyzing the international bank lending channels of monetary policy using regulatory data on banks from four small open economies: Canada, Chile, the Czech Republic and Norway.

We outline possible system architectures for an online retail central bank digital currency (CBDC) and identify one well-suited for basic payments. We analyze OpenCBDC 2PC, a representative system, finding such designs to be feasible, although some areas require further investigation. Our framing highlights other promising architectures for a retail CBDC.

Governor Poloz talks about household debt and how it will affect Canada’s economy and monetary policy for years.

We model non-bank entry into fixed-income markets and state-dependent liquidity. Non-bank financial institutions improve liquidity more during normal times than in stress. Banks may become less reliable to marginal clients, exacerbating the difference in liquidity between normal and stressed times. Central bank lending during stress may limit this harmful division.

Central banks can implement unconventional monetary policy measures to provide additional easing when policy interest rates come close to their lower limit. To date, the international experience with tools such as quantitative easing and negative interest rates has been largely positive. Central banks may also use several such measures simultaneously, with often mutually reinforcing effects. Yet, unconventional tools are also subject to potential limits, and the costs associated with these measures could rise with extensive and prolonged use.

This monthly newsletter features the latest research publications by Bank of Canada economists including external publications and working papers published on the Bank of Canada’s website.

We estimate a continuous-time model with stochastic volatility and dynamic crash probability for the S&P 500 index and find that market illiquidity dominates other factors in explaining the stock market crash risk. While the crash probability is time-varying, its dynamic depends only weakly on return variance once we include market illiquidity as an economic variable in the model.