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2191 Results

Managing GDP Tail Risk

Staff working paper 2020-3 Thibaut Duprey, Alexander Ueberfeldt
Models for macroeconomic forecasts do not usually take into account the risk of a crisis—that is, a sudden large decline in gross domestic product (GDP). However, policy-makers worry about such GDP tail risk because of its large social and economic costs.

Public and Private Money Creation for Distributed Ledgers: Stablecoins, Tokenized Deposits, or Central Bank Digital Currencies?

Staff working paper 2024-35 Jonathan Chiu, Cyril Monnet
This paper explores the implications of introducing digital public and private monies (e.g. tokenized central bank digital currency [CBDC] or tokenized deposits) for stablecoins and illicit crypto transactions.

Examining the Impact of Home Purchase Restrictions on China’s Housing Market

Staff working paper 2021-18 Zhentong Lu, Sisi Zhang, Jian Hong
How do “cooling measures” in the housing market—policies aimed to stabilize prices—affect the market? We use a structural model of housing demand and price competition among developers to evaluate China’s home purchase restriction policies implemented in 2010–11.

Tracking Heterogeneous Spending Patterns with Credit Card Microdata

Staff analytical paper 2026-38 Jia Qi Xiao, Jackson Reid, Joey Daniels
We present a measure of account-level credit card spending constructed using credit bureau microdata, capturing monthly spending for approximately 80% of adults in Canada. Our measure offers higher frequency than other publicly available consumption metrics, and can be disaggregated by age, geographic location and credit history.

Time-Varying Crash Risk: The Role of Stock Market Liquidity

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.
December 15, 2016

Monitoring Shadow Banking in Canada: A Hybrid Approach

In Monitoring Shadow Banking in Canada: A Hybrid Approach, Bo Young Chang, Michael Januska, Gitanjali Kumar and André Usche discuss how lending that occurs outside the traditional banking system provides benefits to the economy but must be monitored carefully for potential financial sector vulnerabilities. They describe how the Bank defines and measures shadow banking and how it assesses vulnerabilities in the sector, using an approach that examines both markets and entities.

Content Type(s): Publications, Financial System Review articles JEL Code(s): G, G0, G01, G2, G23
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