Staff research

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271 result(s)

Climate Change and Socio-economic inequality in the US

Staff working paper 2026-16 Barbara Sadaba, Tatjana Dahlhaus
This paper examines how climate change affects income inequality across US states. Using a new climate-inequality VAR and a century of daily temperature data, it shows that shifts across the full temperature distribution—not just average warming—have diverse effects on within-state inequality.

A buoy on funding tides: How client repo demand and dealer constraints lifted CORRA

Staff analytical paper 2026-15 Jean-Sébastien Fontaine, Neil Maru, Sofia Tchamova
Pressures on the CORRA benchmark can emerge from the interaction of client borrowing behavior, dealer balance sheet constraints, even if the level of settlement balances is in a range deemed sufficient to meet the requirement of the payment system and the prudential demand of its members.

When parents co‑sign a mortgage to help their adult children buy their first home

Sparks at Bank article Shaoteng Li
Rising housing costs are leading to an increasing share of first-time homebuyers seeking financial support from their parents. Specifically, Canada has experienced a noticeable rise in instances of parents co-signing mortgages with their adult children. This practice allows buyers to purchase more expensive homes—but it can also make both parties vulnerable to financial disruptions.

Inflation vs Inclusion: Stabilization Policy in the Wake of the Pandemic

Staff working paper 2026-13 Felipe Alves, Giovanni L. Violante
As the economy emerges from a crisis, macroeconomic policy confronts a dilemma: a protracted stimulus can foster a more inclusive labor market recovery, yet risks igniting inflation that ultimately undermines workers’ welfare through real income erosion. This tension amplifies in the presence of the ZLB and aggregate capacity constraints. We embed this insight into a quantitative model of the US economy.

The Impact of Mortgage Interest Costs on Rental Inflation Amid Population Growth

Staff analytical paper 2026-14 Amina Enkhbold, Serdar Kabaca
This note finds evidence of a positive and nonlinear relationship between mortgage interest costs (MIC) and rental inflation: the impact of MIC on rents is small when population growth is near its historical norm, but significantly stronger during periods of rapid population growth.

Examining the macro drivers of mortgage arrears in Canada

Staff analytical paper 2026-12 Thomas Michael Pugh, Tao Wang, Taylor Webley
Mortgage debt represents over 70% of all Canadian household financial liabilities, and the performance of these debts is critical to the health of the financial system. We explore the relationships between mortgage arrears and key macroeconomic fundamentals such as labour market variables, interest rates, house prices and inflation. We then develop a framework to assess future household mortgage stress.

Beating the “pros” with a semi-structural model of their own inflation forecasts

How can Surveys of Professional Forecasters (SPF) be used to improve inflation forecasts? By using US historical quarterly data on SPF forecasts, we provide better understanding of how we can use forecast disagreement to improve our own forecasts.

Repo transaction costs and balance sheet frictions

Staff analytical paper 2026-10 Yanis Belkacem, Fabienne Schneider, Adrian Walton
We develop an approach to quantify transaction costs in the repo market using OTC transaction data, where quoted bid-ask spreads are not observable. By estimating effective spreads at the level of individual trades, we construct a novel metric to evaluate intermediation costs across different segments of the market.

Estimation and Inference for Stochastic Volatility Models with Heavy-Tailed Distributions

Statistical inference--both estimation and testing--for stochastic volatility (SV) models is known to be challenging and computationally demanding. We propose simple and efficient estimators for SV models with conditionally heavy-tailed error distributions, particularly the Student’s t and Generalized Exponential Distributions (GED). The estimators rely on a small set of moment conditions derived from ARMA-type representations of SV models, with an option to apply “winsorization” to improve stability and finite-sample performance. Except for the degrees of-freedom parameter, closed-form expressions are available for all other parameters, extending Ahsan and Dufour (2019, 2021), thus eliminating the need for numerical optimization or initial values. We derive the estimators’ asymptotic distribution and show that, due to their analytical tractability, they support reliable, and even exact, simulation-based inference via Monte Carlo or bootstrap methods. We assess their performance through extensive simulations and demonstrate their practical relevance in financial return data, which strongly reject the normality assumption in favor of heavy-tailed models.

How Do Some Lower-Income Canadians Pay

Previous research suggests that lower-income Canadians may have unique experiences with the use of payments, including the use of cash and digital payments. We conduct a case study using data from [the Canadian Financial Diaries project/Canadian financial diaries] to gain insight into how some lower-income Canadians pay.
Content Type(s): Staff research, Staff analytical paper JEL Code(s): D, D8, D83, E, E4, E41 Research Theme(s): Money and payments, Cash and bank notes, Retail payments
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