Rodrigo Sekkel - Latest

• A Dynamic Factor Model for Nowcasting Canadian GDP Growth

  Staff Working Paper 2017-2 Tony Chernis, Rodrigo Sekkel

  This paper estimates a dynamic factor model (DFM) for nowcasting Canadian gross domestic product. The model is estimated with a mix of soft and hard indicators, and it features a high share of international data.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C3, C32, C38, C5, C53, E, E3, E37

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

  Staff Working Paper 2016-38 Gregory Bauer, Gurnain Pasricha, Rodrigo Sekkel, Yaz Terajima

  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.

  Content Type(s): Staff research, Staff working papers Topic(s): Financial stability, Housing, International financial markets, Monetary policy framework JEL Code(s): E, E4, E42, E43, E44, E5, E52, F, F4, F41

• The Real-Time Properties of the Bank of Canada’s Staff Output Gap Estimates

  Staff Working Paper 2016-28 Julien Champagne, Guillaume Poulin-Bellisle, Rodrigo Sekkel

  We study the revision properties of the Bank of Canada’s staff output gap estimates since the mid-1980s. Our results suggest that the average staff output gap revision has decreased significantly over the past 15 years, in line with recent evidence for the U.S.

  Content Type(s): Staff research, Staff working papers Topic(s): Central bank research, Econometric and statistical methods, Potential output JEL Code(s): C, C3, C38, E, E1, E17, E3, E32

• Macroeconomic Uncertainty Through the Lens of Professional Forecasters

  Staff Working Paper 2016-5 Soojin Jo, Rodrigo Sekkel

  We analyze the evolution of macroeconomic uncertainty in the United States, based on the forecast errors of consensus survey forecasts of different economic indicators. Comprehensive information contained in the survey forecasts enables us to capture a real-time subjective measure of uncertainty in a simple framework.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C3, C38, E, E1, E17, E3, E32

• International Spillovers of Policy Uncertainty

  Staff Working Paper 2014-57 Stefan Klößner, Rodrigo Sekkel

  Using the Baker et al. (2013) index of policy uncertainty for six developed countries, this paper estimates spillovers of policy uncertainty. We find that spillovers account for slightly more than one-fourth of the dynamics of policy uncertainty in these countries, with this share rising to one-half during the financial crisis.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C3, D, D8, D80, F, F4, F42

• Balance Sheets of Financial Intermediaries: Do They Forecast Economic Activity?

  Staff Working Paper 2014-40 Rodrigo Sekkel

  This paper conducts a real-time, out-of-sample analysis of the forecasting power of various aggregate financial intermediaries’ balance sheets to a wide range of economic activity measures in the United States.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C5, C53

• Forecasting with Many Models: Model Confidence Sets and Forecast Combination

  Staff Working Paper 2013-11 Jon D. Samuels, Rodrigo Sekkel

  A longstanding finding in the forecasting literature is that averaging forecasts from different models often improves upon forecasts based on a single model, with equal weight averaging working particularly well. This paper analyzes the effects of trimming the set of models prior to averaging.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C5, C53