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527 Results

May 23, 2003

The Bank of Canada: Moving Towards Transparency

During the 1990s the Bank of Canada made several changes that transformed its conduct of monetary policy. In the 1960s and 1970s, policy decisions were made in an environment characterized by instrument opaqueness and goal opaqueness, which tended to shield the Bank's operations from scrutiny and accountability. Since the 1970s the Bank has moved towards transparency and openness by rejecting multiple policy instruments and adopting a single, well-defined goal of inflation control. A recent survey has shown that the Bank of Canada is in the middle range of central banks with regard to its transparency and has lost points for not publishing the forecasts that shape its policy or the minutes and voting records of its governing body. Chant suggests that the public has benefited significantly from the changes the Bank has made, but that it should continue to support research on the benefits of low and stable inflation and continually inform other policy-makers and the public of the results.
June 13, 2013

Financial System Review - June 2013

Financial System Review - June 2013
The Governing Council judges that the risks to the Canadian financial system have decreased somewhat relative to the December FSR, but that the overall level of risk remains high. The key risks are similar to those highlighted in December, and emanate primarily from the external environment.

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.

The Global Financial Cycle, Monetary Policies and Macroprudential Regulations in Small, Open Economies

This paper analyzes the implications of the global financial cycle for conventional and unconventional monetary policies and macroprudential policy in small, open economies such as Canada. The paper starts by summarizing recent work on financial cycles and their growing correlation across borders.

Financial Intermediaries and the Macroeconomy: Evidence from a High-Frequency Identification

Staff working paper 2022-24 Pablo Ottonello, Wenting Song
We provide empirical evidence of effects to the aggregate economy from surprises about financial intermediaries’ net worth based on a high-frequency identification strategy. We estimate that news of a 1% decline in intermediaries’ net worth leads to a 0.2%–0.4% decrease in the market value of nonfinancial firms.

Job Applications and Labour Market Flows

Staff working paper 2021-49 Serdar Birinci, Kurt See, Shu Lin Wee
Although the number of job applications has risen, job-finding rates remain relatively unchanged while job-separation rates have significantly declined. Rather than raising the probability of finding a job, we find that a rise in applications raises the probability of finding a good match, as evidenced by the decline in separation rates.

Monetary Policy, Credit Constraints and SME Employment

Staff working paper 2022-49 Julien Champagne, Émilien Gouin-Bonenfant
We revisit an old question: how do financial constraints affect the transmission of monetary policy to the real economy? To answer this question, we propose a simple empirical strategy that combines firm-level employment and balance sheet data, identified monetary policy shocks and survey data on financing activities.

Beating the “pros” with a semi-structural model of their own inflation forecasts

How can Surveys of Professional Forecasters (SPF) be used to improve inflation forecasts? By using US historical quarterly data on SPF forecasts, we provide better understanding of how we can use forecast disagreement to improve our own forecasts.
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