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100 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.

Loan Insurance, Market Liquidity, and Lending Standards

Staff Working Paper 2019-47 Toni Ahnert, Martin Kuncl
We examine loan insurance—credit risk transfer upon origination—in a model in which lenders can screen, learn loan quality over time, and can sell loans. Some lenders with low screening ability insure, benefiting from higher market liquidity of insured loans while forgoing the option to exploit future information about loan quality.

Bank Runs, Portfolio Choice, and Liquidity Provision

Staff Working Paper 2019-37 Toni Ahnert, Mahmoud Elamin
After the financial crisis of 2007–09, many jurisdictions introduced new banking regulations to make banks more resilient and less likely to fail. These regulations included tighter limits for the quality and quantity of bank capital and introduced minimum standards for liquidity. But what was the impact of these changes?
Content Type(s): Staff research, Staff working papers Topic(s): Financial stability, Wholesale funding JEL Code(s): G, G0, G01, G2, G21

Lending Standards, Productivity and Credit Crunches

Staff Working Paper 2019-25 Jonathan Swarbrick
We propose a macroeconomic model in which adverse selection in investment drives the amplification of macroeconomic fluctuations, in line with prominent roles played by the credit crunch and collapse of the asset-backed security market in the financial crisis.

Assessing the Resilience of the Canadian Banking System

Staff Analytical Note 2019-16 Charles Gaa, Xuezhi Liu, Cameron MacDonald, Xiangjin Shen
The stability of the Canadian financial system, as well as its ability to support the Canadian economy, depends on the ability of financial institutions to absorb and manage major shocks. This is especially true for large banks, which perform services essential to the Canadian economy.
Content Type(s): Staff research, Staff analytical notes Topic(s): Financial institutions, Financial stability JEL Code(s): C, C6, C63, E, E2, E27, E3, E37, E4, E44, G, G0, G01, G2, G21

Measuring Non-Financial Corporate Sector Vulnerabilities in Canada

Staff Analytical Note 2019-15 Timothy Grieder, Claire Schaffter
The ratio of non-financial corporate debt to gross domestic product in Canada has increased noticeably in recent years and is currently at an all-time high. In light of this development, we use a unique firm-level dataset to construct vulnerability indicators for the non-financial corporate sector in Canada.

Non-Bank Financial Intermediation in Canada: An Update

Staff Discussion Paper 2019-2 Guillaume Bédard-Pagé
Non-bank financing provides an important funding source for the economy and is a valuable alternative to traditional banking. It helps enhance the efficiency and resiliency of the financial system while giving customers more choices for their financial services. Unlike banking, it is not prudentially regulated.

Assessing Vulnerabilities in Emerging-Market Economies

Staff Discussion Paper 2018-13 Tatjana Dahlhaus, Alexander Lam
This paper introduces a new tool to monitor economic and financial vulnerabilities in emerging-market economies. We obtain vulnerability indexes for several early warning indicators covering 26 emerging markets from 1990 to 2017 and use them to monitor the evolution of vulnerabilities before, during and after an economic or financial crisis.

Characterizing the Canadian Financial Cycle with Frequency Filtering Approaches

Staff Analytical Note 2018-34 Andrew Lee-Poy
In this note, I use two multivariate frequency filtering approaches to characterize the Canadian financial cycle by capturing fluctuations in the underlying variables with respect to a long-term trend. The first approach is a dynamically weighted composite, and the second is a stochastic cycle model.
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