E - Macroeconomics and Monetary Economics

• The Impact of Surprising Monetary Policy Announcements on Exchange Rate Volatility

  Staff Analytical Note 2018-39 Adam Albogatchiev, Jean-Sébastien Fontaine, Jabir Sandhu, Reginald Xie

  We identify a few Bank of Canada press releases that had the largest immediate impact on the exchange rate market. We find that volatility increases after these releases, but the effect is short-lived and mostly dissipates after the first hour, on average. Beyond the first hour, the size of the effect is similar to what we observe for other economic releases, such as those for inflation or economic growth data.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Exchange rates, Financial markets, Monetary policy JEL Code(s): E, E4, E44, F, F3, F31, G, G1, G10, G12, G14, G15

• Does US or Canadian Macro News Drive Canadian Bond Yields?

  Staff Analytical Note 2018-38 Bruno Feunou, Rodrigo Sekkel, Morvan Nongni-Donfack

  We show that a large share of low-frequency (quarterly) movements in Canadian government bond yields can be explained by macroeconomic news, even though high-frequency (daily) changes are driven by other shocks. Furthermore, we show that US macro news—not domestic news— explains most of the quarterly variation in Canadian bond yields.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Financial markets, International topics, Monetary policy JEL Code(s): C, C2, C22, E, E4, E43

• Markets Look Beyond the Headline

  Staff Analytical Note 2018-37 Bruno Feunou, James Kyeong, Raisa Leiderman

  Many reports and analyses interpret the release of new economic data based on the headline surprise—for instance, total inflation, real GDP growth and the unemployment rate. However, we find that headline news alone cannot adequately explain the responses of market prices to new information. Rather, market prices react more strongly, on average, to non-headline news such as the composition of GDP growth, quality of jobs created and revisions to past data. Thus, tracking the impact of non-headline information released on the news day is crucial in analyzing how markets interpret and react to new economic data.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Asset pricing, Exchange rates, Interest rates JEL Code(s): E, E4, E43, G, G1, G12, G14

• An Alternative Estimate of Canadian Potential Output: The Multivariate State-Space Framework

  Staff Discussion Paper 2018-14 Lise Pichette, Maria Bernier, Marie-Noëlle Robitaille

  In this paper, we extend the state-space methodology proposed by Blagrave et al. (2015) and decompose Canadian potential output into trend labour productivity and trend labour input. As in Blagrave et al. (2015), we include output growth and inflation expectations from consensus forecasts to help refine our estimates.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Economic models, Potential output JEL Code(s): C, C5, E, E0, E5

• Modelling the Macrofinancial Effects of a House Price Correction in Canada

  Staff Analytical Note 2018-36 Thibaut Duprey, Xuezhi Liu, Cameron MacDonald, Maarten van Oordt, Sofia Priazhkina, Xiangjin Shen, Joshua Slive

  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.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Financial institutions, Financial stability, Housing JEL Code(s): E, E2, E27, E3, E37, E4, E44, G, G2, G21

• The Impact of Recent Policy Changes on the Canadian Mortgage Market

  Staff Analytical Note 2018-35 Olga Bilyk, Maria teNyenhuis

  Recent policy changes are having a clear impact on the mortgage market. The number of new, highly indebted borrowers has fallen, and overall mortgage activity has slowed significantly.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Credit and credit aggregates, Financial institutions, Interest rates, Recent economic and financial developments JEL Code(s): D, D1, E, E4, G, G2, G21, G28

• 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).

  Content Type(s): Staff research, Technical reports Topic(s): Economic models, Financial institutions, Financial stability, Housing JEL Code(s): C, C3, C5, C6, C7, D, D1, E, E0, E00, E2, E27, E3, E37, E4, E47, G, G0, G2, G21

• Non-Performing Loans, Fiscal Costs and Credit Expansion in China

  Staff Working Paper 2018-53 Huixin Bi, Yongquan Cao, Wei Dong

  This paper studies how the credit expansion policy pursued by the Chinese government in an effort to stimulate its economy in the post-crisis period affects bank–firm loan contracts and the macroeconomy. We build a structural model with financial frictions in which the optimal loan contract reflects the trade-off between leverage and the probability of default.

  Content Type(s): Staff research, Staff working papers Topic(s): Credit and credit aggregates, Fiscal policy, International topics JEL Code(s): E, E4, E44, E6, E62

• Evaluating the Bank of Canada Staff Economic Projections Using a New Database of Real-Time Data and Forecasts

  Staff Working Paper 2018-52 Julien Champagne, Guillaume Poulin-Bellisle, Rodrigo Sekkel

  We present a novel database of real-time data and forecasts from the Bank of Canada’s staff economic projections. We then provide a forecast evaluation for GDP growth and CPI inflation since 1982: we compare the staff forecasts with those from commonly used time-series models estimated with real-time data and with forecasts from other professional forecasters and provide standard bias tests.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Economic models, Inflation targets, Monetary policy JEL Code(s): C, C3, C32, E, E1, E17, E3, E37

• 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.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Financial stability, Monetary and financial indicators, Recent economic and financial developments JEL Code(s): C, C0, C01, C1, C13, C14, C18, C3, C32, C5, C51, C52, E, E3, E32, E6, E66, G, G0, G01, G1, G18