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3128 Results

Analysis of Asymmetric GARCH Volatility Models with Applications to Margin Measurement

Staff working paper 2018-21 Elena Goldman, Xiangjin Shen
We explore properties of asymmetric generalized autoregressive conditional heteroscedasticity (GARCH) models in the threshold GARCH (GTARCH) family and propose a more general Spline-GTARCH model, which captures high-frequency return volatility, low-frequency macroeconomic volatility as well as an asymmetric response to past negative news in both autoregressive conditional heteroscedasticity (ARCH) and GARCH terms.

Readability and the Bank of Canada

Staff analytical note 2018-20 Alexandre Deslongchamps
In this note, I assess the readability of Bank of Canada publications using a formula commonly used for this type of evaluation. I find that Bank publications are more difficult to read than the media articles and other content our target audiences likely consume. This suggests that more simple writing can help the Bank better meet its communication objectives.

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.
May 19, 2011

Lessons from the Use of Extraordinary Central Bank Liquidity Facilities

The recent crisis was characterized by widespread deterioration in funding conditions, as well as impairment of the mechanism through which liquidity is normally redistributed within the financial system. Central banks responded with extraordinary measures. This article examines the provision of liquidity by central banks during the crisis as they adapted their existing facilities and introduced new ones, while encouraging a return to private markets and mitigating moral hazard. A review of this experience illustrates the importance of clear principles for intervention, a flexible operating framework, and clear communication and co-operation by central banks. By exposing the degree of interdependence of financial institutions and markets, the crisis highlighted the need for reforms aimed at improving the infrastructure supporting core funding markets and the liquidity of individual institutions.

Integrating Non-traditional Data and AI into Central Banking: A Canadian Perspective

This paper reviews how central banks are integrating non traditional data and artificial intelligence (AI) into policy analysis and operations. Using the Bank of Canada’s experience, it examines emerging applications, governance challenges, and strategic choices for responsibly scaling AI to enhance insight, efficiency, and institutional resilience.
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