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Can artificial intelligence (AI) think and act like a cash manager? In this paper we explore how generative AI agents can help manage liquidity, prioritize payments and optimize efficiency in real-time gross settlement systems.

In 2024, the Canadian Overnight Repo Rate Average (CORRA) rose 7 basis points above the Bank of Canada’s target overnight rate as settlement balances declined and hedge fund borrowing increased by $30 billion, straining dealers’ balance sheets. Exercising market power, dealers raised rates, and as client activity grew, these higher rates increasingly influenced CORRAs deviation from target.

We construct a dataset on Federal Reserve and Bank of Canada non-rate announcement events to provide novel insights into how foreign and domestic monetary policy communications affect the financial markets of open economies. We find that Fed non-rate communications have a stronger impact on long-term interest rates and stock futures, while Bank of Canada communications are relatively more important for short-term interest rates and the exchange rate.

An alternative to the standard CES aggregator, based on non-homothetic household preferences, is proposed. Specifically, the elasticity of substitution between goods declines during periods of strong per-capita consumption and vice versa, giving firms an incentive to adjust their desired markup in response to the state of demand. Empirical evidence favouring a direct role for per-capita consumption demand in inflation determination for Canada is presented.

We study how participants in the Lynx payment system use the net send limit (NSL) tool to control their intraday payment outflow levels. Our results show that participants typically adopt a “set it and forget it” approach to scheduling NSLs and sometimes have distinct intraday NSL adjustment behaviours.

We identify two channels that affect the relationship between inflation and unemployment. First, inflation lowers wages because unemployed suffer more from inflation than employed, generating a positive relationship. Second, inflation increases firms’ financing costs, generating a negative relationship. Improvements in firm financing conditions can induce the relationship to switch signs.

We study how the transmission of monetary policy innovations is affected by the endogenous response of the central bank to macroeconomic aggregates in a two-agent New Keynesian model. We focus on how the stance of monetary policy and the fraction of savers in the economy affect transmission.

We develop a heterogeneous firm macro model with private information and quantify the aggregate relevance of asymmetric information. We find that a spike in private information account for 40% of the decline in aggregate investment during the 2007-2009 financial crisis and made monetary stimulus significantly less effective.

Central bankers argue that programmable digital currencies may compromise the uniformity of money. We develop a stylized model to examine this argument and the trade-offs involved in circulating programmable money.

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.