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We propose a new strength measure of the global financial cycle by estimating a regime-switching factor model on cross-border equity flows for 61 countries. We then assess how the strength of the global financial cycle affects monetary policy independence, which is defined as the response of central banks' policy interest rates to exogenous changes in inflation.

We develop a model to analyze the link between financial leverage, worker pay structure and the risk of job termination. Contrary to the conventional view, we show that even in the absence of any agency problem among workers, variable pay can be optimal despite workers being risk averse and firms risk neutral.

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.

We study the short-run effects of monetary policy using a search-theoretic monetary model in which agents are subject to idiosyncratic shocks and aggregate monetary shocks.

Our layered machine learning framework can enhance real-time transaction monitoring in high-value payment systems, which are a central piece of a country’s financial infrastructure. When tested on data from Canadian payment systems, it demonstrated potential for accurately identifying anomalous transactions. This framework could help improve cyber and operational resilience of payment systems.

This paper studies the testable implication of players’ collusive or cooperative behaviour in a binary choice game with complete information. I illustrate the implementation of this test by revisiting the entry game between Walmart and Kmart.

We show that a small number of authorized participants (APs) actively create and redeem shares of US-listed fixed-income exchange-traded funds (FI-ETFs). In 2019, three APs performed 82 percent of gross creations and redemptions of FI-ETF shares. In contrast, the group of active APs for equity ETFs was much more diverse.

Keynes wrote prophetically of the economic consequences of the Treaty of Versailles. Could the same be said of current financial reforms? Are policy-makers taking for granted the essential role performed by finance in a vain pursuit of its risk-proofing?

We show that in a heterogeneous economy, optimal policy after cost-push shocks raises short-term rates to curb inflation while lowering long-term rates to support indebted households, speeding investment and output recovery while increasing consumption inequality.

This article reviews selected papers that use machine learning for economics research and policy analysis. Our review highlights when machine learning is used in economics, the commonly preferred models and how those models are used.