E58 - Central Banks and Their Policies
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The Effect of the Federal Reserve’s Tapering Announcements on Emerging Markets
The Federal Reserve’s quantitative easing (QE) program has been accompanied by a flow of funds into emerging-market economies (EMEs) in search of higher returns. -
November 13, 2014
Should Forward Guidance Be Backward-Looking?
When constrained by the zero lower bound, some central banks have communicated a threshold that must be met before short-term interest rates would be permitted to rise. Simulation results for Canada show that forward guidance that is conditional on achieving a price-level threshold can theoretically raise demand and inflation expectations by significantly more than unemployment thresholds. This superior performance is attributable to the fact that the price-level threshold depends on past inflation outcomes. In practice, however, history-dependent thresholds such as this might be more challenging for central banks to communicate. -
November 13, 2014
Spillover Effects of Quantitative Easing on Emerging-Market Economies
While quantitative easing (QE) in the United States likely increased capital flows to emerging-market economies (EMEs), putting upward pressure on asset prices and exchange rates, diverging fundamentals between advanced economies and EMEs were also important drivers. Evidence suggests that the benefits of QE to EMEs, in higher global demand and increased confidence, appear to outweigh the costs. When advanced economies begin to normalize monetary policy, the best defence for EMEs against any potential instability is likely to be further strengthening of their macroeconomic and financial policy frameworks. -
International Transmission Channels of U.S. Quantitative Easing: Evidence from Canada
The U.S. Federal Reserve responded to the great recession by reducing policy rates to the effective lower bound. In order to provide further monetary stimulus, they subsequently conducted large-scale asset purchases, quadrupling their balance sheet in the process. -
The Neutral Rate of Interest in Canada
A measure of the neutral policy interest rate can be used to gauge the stance of monetary policy. We define the neutral rate as the real policy rate consistent with output at its potential level and inflation equal to target after the effects of all cyclical shocks have dissipated. -
Consumer Cash Usage: A Cross-Country Comparison with Payment Diary Survey Data
We measure consumers’ use of cash by harmonizing payment diary surveys from seven countries. The seven diary surveys were conducted in 2009 (Canada), 2010 (Australia), 2011 (Austria, France, Germany and the Netherlands), and 2012 (the United States). -
May 13, 2014
The Canadian Dollar as a Reserve Currency
This article provides an overview of the growth of Canadian-dollar-denominated assets in official foreign reserves. Based on International Monetary Fund data and on internal Bank of Canada analysis, we estimate that the total reserve holdings of Canadian-dollar assets increased from negligible levels before 2008 to around US$200 billion in the third quarter of 2013. We discuss the determinants of this increase, as well as its potential impact on Canadian debt markets, for example, lower yields and therefore reduced financing costs for the Government of Canada, and the possible negative impact on market liquidity. -
May 13, 2014
Measuring Uncertainty in Monetary Policy Using Realized and Implied Volatility
Uncertainty surrounding the Bank of Canada’s future policy rates is measured using implied volatility computed from interest rate options and realized volatility computed from intraday prices of interest rate futures. Both volatility measures show that uncertainty decreased following major policy actions taken by the Bank in response to the 2007–09 financial crisis. Findings also indicate that, on average, uncertainty decreases following the Bank’s policy rate announcements. -
E-Money: Efficiency, Stability and Optimal Policy
What makes e-money more special than cash? Is the introduction of e-money necessarily welfare enhancing? Is an e-money system necessarily stable? What is the optimal way to design an efficient and stable e-money scheme?