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384 Results

Systemic Risk and Collateral Adequacy

Staff Working Paper 2019-23 Radoslav Raykov
Many derivatives markets use collateral requirements calculated with industry-standard but dated methods that are not designed with systemic risk in mind. This paper explores whether the conservative nature of conventional collateral requirements outweighs their lack of consideration of systemic risk.
Content Type(s): Staff research, Staff working papers Topic(s): Financial institutions, Financial markets JEL Code(s): G, G1, G10, G2, G20

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

Reassessing the Growth of HELOCs in Canada Using New Regulatory Data

Staff Analytical Note 2019-14 Leila Al-Mqbali, Olga Bilyk, Stefan Caputo, James Younker
Using new regulatory data on residential secured lending from Canadian banks, we assess the growth rate of home equity lines of credit (HELOCs).

Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects

Staff Working Paper 2019-16 Kerem Tuzcuoglu
Modeling and estimating persistent discrete data can be challenging. In this paper, we use an autoregressive panel probit model where the autocorrelation in the discrete variable is driven by the autocorrelation in the latent variable. In such a non-linear model, the autocorrelation in an unobserved variable results in an intractable likelihood containing high-dimensional integrals.

Could Canadian Bond Funds Add Stress to the Financial System?

We create a hypothetical scenario to study the role bond funds play in intensifying shocks to the financial system. Using data from 2018 and 2007, we find that bond funds play a larger role now than they did in the past.
Content Type(s): Staff research, Staff analytical notes Topic(s): Financial markets, Financial stability JEL Code(s): G, G1, G2, G20, G23

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.

Liquidity Management of Canadian Corporate Bond Mutual Funds: A Machine Learning Approach

Staff Analytical Note 2019-7 Rohan Arora, Chen Fan, Guillaume Ouellet Leblanc
When redeeming shares for investors, bond fund managers must choose a mix of cash and bond sales to honour their commitments. This note uses machine learning algorithms to uncover new patterns in decisions fund managers make to meet redemptions.
Content Type(s): Staff research, Staff analytical notes Topic(s): Financial markets, Financial stability JEL Code(s): G, G1, G2, G20, G23

Alternative Futures for Government of Canada Debt Management

This paper presents four blue-sky ideas for lowering the cost of the Government of Canada’s debt without increasing the debt’s risk profile. We argue that each idea would improve the secondary-market liquidity of government debt, thereby increasing the demand for government bonds and thus lowering their cost at issuance.

Macroprudential FX Regulations: Shifting the Snowbanks of FX Vulnerability?

Can macroprudential foreign exchange (FX) regulations on banks reduce the financial and macroeconomic vulnerabilities created by borrowing in foreign currency? To evaluate the effectiveness and unintended consequences of macroprudential FX regulations, we develop a parsimonious model of bank and market lending in domestic and foreign currency and derive four predictions.
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