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3045 Results

On Causal Networks of Financial Firms: Structural Identification via Non-parametric Heteroskedasticity

Staff Working Paper 2020-42 Ruben Hipp
Banks’ business interactions create a network of relationships that are hidden in the correlations of bank stock returns. But for policy interventions, we need causality to understand how the network changes. Thus, this paper looks for the causal network anticipated by investors.

Evaluating the Bank of Canada Staff Economic Projections Using a New Database of Real-Time Data and Forecasts

We present a novel database of real-time data and forecasts from the Bank of Canada’s staff economic projections. We then provide a forecast evaluation for GDP growth and CPI inflation since 1982: we compare the staff forecasts with those from commonly used time-series models estimated with real-time data and with forecasts from other professional forecasters and provide standard bias tests.

Unintended Consequences of the Home Affordable Refinance Program

Staff Working Paper 2024-11 Phoebe Tian, Chen Zheng
We investigate the unintended consequences of the Home Affordable Refinance Program (HARP). Originally designed to help borrowers refinance after the 2008–09 global financial crisis, HARP inadvertently strengthened the market power of incumbent lenders by creating a cost advantage for them. Despite a 2013 policy rectifying this cost advantage, we still find significant welfare losses for borrowers.
Content Type(s): Staff research, Staff working papers Research Topic(s): Financial institutions JEL Code(s): G, G2, G21, G5, G51, L, L5, L51
June 7, 2018

Financial System Review - June 2018

This issue of the Financial System Review reflects the Bank’s judgment that high household indebtedness and housing market imbalances remain the most important vulnerabilities. While these vulnerabilities remain elevated, policy measures continue to improve the resilience of the financial system. A third vulnerability highlighted in the FSR concerns cyber threats to an interconnected financial system.

Inflation, Learning and Monetary Policy Regimes in The G-7 Economies

Staff Working Paper 1995-6 Nicholas Ricketts, David Rose
In this paper, the authors report estimates of two- and three-state Markov switching models applied to inflation, measured using consumer price indexes, in the G-7 countries. They report tests that show that two-state models are preferred to simple one-state representations of the data, and argue that three-state representations are more satisfactory than two-state representations for […]
Content Type(s): Staff research, Staff working papers Research Topic(s): Inflation and prices
May 17, 2012

Inflation Targeting: The Recent International Experience

In the years since the 2006 renewal of Canada’s inflation-control agreement, monetary policy regimes have faced significant shocks, including the global economic and financial crisis. This article reviews the recent experience with inflation targeting, including the debate about the appropriate role of monetary policy in maintaining financial stability. In the aftermath of the crisis, both […]

Modelling Canadian mortgage debt and payments in a semi-structural model

Staff Analytical Note 2024-1 Fares Bounajm, Austin McWhirter
We show how Canadian mortgage debt dynamics can be modelled in a semi-structural macroeconomic model, such as the Bank of Canada’s LENS. The model we propose accounts for Canada’s unique mortgage debt structure.
Content Type(s): Staff research, Staff analytical notes Research Topic(s): Economic models, Monetary policy transmission JEL Code(s): E, E2, E27, E4, E43, E47, G, G5, G51

The Consumer Value Proposition for a Hypothetical Digital Canadian Dollar

Staff Discussion Paper 2024-16 Martine Warren, Bill Laur, Ted Garanzotis, Sebastian Hernandez
We explore the consumer value proposition of a hypothetical Digital Canadian Dollar, adoption considerations and the users who would benefit most from this potential new payment method. We employ a design-thinking consultation methodology, allowing participants to interact with research prototypes of increasing complexity to reveal user preferences, constraints and adoption influences.
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