Business fluctuations and cycles

• The Role of Corporate Saving over the Business Cycle: Shock Absorber or Amplifier?

  Staff Working Paper 2018-59 Xiaodan Gao, Shaofeng Xu

  We document countercyclical corporate saving behavior with the degree of countercyclicality varying nonmonotonically with firm size. We then develop a dynamic stochastic general equilibrium model with heterogeneous firms to explain the pattern and study its implications for business cycles.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Economic models JEL Code(s): E, E2, E20, E22, E3, E32, G, G3, G31, G32

• GDP by Industry in Real Time: Are Revisions Well Behaved?

  Staff Analytical Note 2018-40 Patrick Rizzetto

  The monthly data for real gross domestic product (GDP) by industry are used extensively in real time both to ground the Bank of Canada’s monitoring of economic activity and in the Bank’s nowcasting tools, making these data one of the most important high-frequency time series for Canadian nowcasting.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Business fluctuations and cycles, Central bank research, Econometric and statistical methods JEL Code(s): C, C5, C53, C8, C82, E, E0, E01

• 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

• Disaggregating Household Sensitivity to Monetary Policy by Expenditure Category

  Staff Analytical Note 2018-32 Tony Chernis, Corinne Luu

  Because the Bank of Canada has started withdrawing monetary stimulus, monitoring the transmission of these changes to monetary policy will be important. Subcomponents of consumption and housing will likely respond differently to a monetary policy tightening, both in terms of the aggregate effect and timing.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Business fluctuations and cycles, Domestic demand and components, Econometric and statistical methods, Housing, Interest rates, Monetary policy transmission, Recent economic and financial developments JEL Code(s): C, C3, C32, E, E2, E21, E22, E4, E43, E47, E5, E52

• Monetary Policy Uncertainty: A Tale of Two Tails

  Staff Working Paper 2018-50 Tatjana Dahlhaus, Tatevik Sekhposyan

  We document a strong asymmetry in the evolution of federal funds rate expectations and map this observed asymmetry into measures of monetary policy uncertainty. We show that periods of monetary policy tightening and easing are distinctly related to downside (policy rate is higher than expected) and upside (policy rate is lower than expected) uncertainty.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Monetary policy and uncertainty, Monetary policy communications, Monetary policy transmission JEL Code(s): C, C1, C18, C3, C32, E, E0, E02, E4, E43, E5, E52

• Price Selection

  Staff Working Paper 2018-44 Carlos Carvalho, Oleksiy Kryvtsov

  We propose a simple, model-free way to measure selection in price setting and its contribution to inflation dynamics. The proposed measure of price selection is based on the observed comovement between inflation and the average level from which adjusting prices depart.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Inflation and prices, Monetary policy transmission JEL Code(s): E, E3, E31, E5, E51

• The Extensive Margin of Trade and Monetary Policy

  Staff Working Paper 2018-37 Yuko Imura, Malik Shukayev

  This paper studies the effects of monetary policy shocks on firms’ participation in exporting. We develop a two-country dynamic stochastic general equilibrium model in which heterogeneous firms make forward-looking decisions on whether to participate in the export market and prices are staggered across firms and time.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Economic models, Firm dynamics, International topics, Monetary policy JEL Code(s): E, E5, E52, F, F1, F12, F4, F44

• Reconciling Jaimovich-Rebelo Preferences, Habit in Consumption and Labor Supply

  Staff Working Paper 2018-26 Tom D. Holden, Paul Levine, Jonathan Swarbrick

  This note studies a form of a utility function of consumption with habit and leisure that (a) is compatible with long-run balanced growth, (b) hits a steady-state observed target for hours worked and (c) is consistent with micro-econometric evidence for the inter-temporal elasticity of substitution and the Frisch elasticity of labor supply.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Economic models, Labour markets JEL Code(s): E, E2, E21, E24

• Measuring Vulnerabilities in the Non-Financial Corporate Sector Using Industry- and Firm-Level Data

  Staff Analytical Note 2018-17 Timothy Grieder, Michal Lipsitz

  Aggregate non-financial corporate debt-to-GDP has been growing rapidly in recent years and is at an all-time high. This growth began in 2011 and accelerated as the oil price shock affected the Canadian economy.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Business fluctuations and cycles, Credit and credit aggregates, Financial stability, Monetary and financial indicators, Recent economic and financial developments, Sectoral balance sheet JEL Code(s): G, G0, G01, G3, G32

• Noisy Monetary Policy

  Staff Working Paper 2018-23 Tatjana Dahlhaus, Luca Gambetti

  We introduce limited information in monetary policy. Agents receive signals from the central bank revealing new information (“news") about the future evolution of the policy rate before changes in the rate actually take place. However, the signal is disturbed by noise.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Financial markets, Monetary policy implementation, Monetary policy transmission JEL Code(s): C, C1, C18, C3, C32, E, E0, E02, E4, E43, E5, E52