We offer relevant authorities a three-step assessment framework they can use to understand, identify and quantify the risks associated with stablecoin and other cryptocurrency arrangements.
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.
The Canadian non-bank financial intermediation (NBFI) sector saw strong growth in 2018 and 2019. In 2020, COVID‑19 caused a financial shock. We provide a preliminary analysis on the impact of COVID‑19 on the sector as well as an update on its growth.
During the COVID-19 pandemic, Canadian financial institutions offered debt-relief programs to help borrowers cope with job losses and economic insecurity. We consider the low take-up rates for these programs and suggest that to be effective, such programs must be visible and easy to use.
One year later, we review the events that took place in Canadian fixed-income markets at the beginning of the COVID-19 crisis and propose potential policy research questions for future work.
We show that US banks price deposits almost uniformly across their branches and that this pricing practice is more important than increases in local market concentration in explaining the deposit rate dynamics following bank mergers.
Digital currencies store balances in anonymous electronic addresses. This paper analyzes the trade-offs between the safety and convenience of aggregating balances in addresses, electronic wallets and banks.
When lenders cannot directly identify behavioural and rational borrowers, they use type scoring to track the likelihood of a borrower’s type. This leads to the partial pooling of borrowers, which results in rational borrowers subsidizing borrowing costs for behavioural borrowers. This, in turn, reduces the effectiveness of regulatory policies that target mistakes by behavioural borrowers.
The impact of COVID-19 on Canadian households’ debt and unplanned savings varies by household income. Low-income and high-income households accrued unplanned savings, while middle-income households tended to accumulate more debt.