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282 Results

Modelling the Macrofinancial Effects of a House Price Correction in Canada

We use a suite of risk-assessment models to examine the possible impact of a hypothetical house price correction, centred in the Toronto and Vancouver areas. We also assume financial stress significantly amplifies the macroeconomic impact of the house price decline.

The Framework for Risk Identification and Assessment

Technical report No. 113 Cameron MacDonald, Virginie Traclet
Risk assessment models are an important component of the Bank’s analytical tool kit for assessing the resilience of the financial system. We describe the Framework for Risk Identification and Assessment (FRIDA), a suite of models developed at the Bank of Canada to quantify the impact of financial stability risks to the broader economy and a range of financial system participants (households, businesses and banks).

Calibrating the Magnitude of the Countercyclical Capital Buffer Using Market-Based Stress Tests

Staff working paper 2018-54 Maarten van Oordt
How much capital do banks need as a buffer to absorb severe shocks? By using historical stock market data, market-based stress tests help estimate the magnitude of capital buffers necessary to absorb severe but plausible shocks.

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.

Multibank Holding Companies and Bank Stability

Staff working paper 2018-51 Radoslav Raykov, Consuelo Silva-Buston
This paper studies the relationship between bank holding company affiliation and the individual and systemic risk of banks. Using the 2005 hurricane season in the US as an exogenous shock to bank balance sheets, we show that banks that are part of a holding parent company are more resilient than independent banks.

Is a Cashless Society Problematic?

Staff discussion paper 2018-12 Walter Engert, Ben Fung, Scott Hendry
The use of bank notes in Canada for payments has declined consistently for some time, and similar trends are evident in other countries. This has led some observers to predict a cashless society in the future.

The Size and Destination of China’s Portfolio Outflows

Staff discussion paper 2018-11 Rose Cunningham, Eden Hatzvi, Kun Mo
The size of China’s financial system raises the possibility that the liberalization of its capital account could have a large effect on the global financial system. This paper provides a counterfactual scenario analysis that estimates what the size and direction of China’s overseas portfolio investments would have been in 2015 if China had had no restrictions on these outflows.

Should Bank Capital Regulation Be Risk Sensitive?

Staff working paper 2018-48 Toni Ahnert, James Chapman, Carolyn A. Wilkins
We present a simple model to study the risk sensitivity of capital regulation. A banker funds investment with uninsured deposits and costly capital, where capital resolves a moral hazard problem in the banker’s choice of risk.

Challenges in Implementing Worst-Case Analysis

Staff working paper 2018-47 Jon Danielsson, Lerby Ergun, Casper G. de Vries
Worst-case analysis is used among financial regulators in the wake of the recent financial crisis to gauge the tail risk. We provide insight into worst-case analysis and provide guidance on how to estimate it. We derive the bias for the non-parametric heavy-tailed order statistics and contrast it with the semi-parametric extreme value theory (EVT) approach.
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