C53 - Forecasting and Prediction Methods; Simulation Methods

• Forecasting Short-Term Real GDP Growth in the Euro Area and Japan Using Unrestricted MIDAS Regressions

  Staff Discussion Paper 2014-3 Maxime Leboeuf, Louis Morel

  In this paper, the authors develop a new tool to improve the short-term forecasting of real GDP growth in the euro area and Japan. This new tool, which uses unrestricted mixed-data sampling (U-MIDAS) regressions, allows an evaluation of the usefulness of a wide range of indicators in predicting short-term real GDP growth.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C50, C53, E, E3, E37, E4, E47

• Consumer Attitudes and the Epidemiology of Inflation Expectations

  Staff Working Paper 2014-28 Michael Ehrmann, Damjan Pfajfar, Emiliano Santoro

  This paper studies the formation of consumers’ inflation expectations using micro-level data from the Michigan Survey. It shows that beyond the well-established socio-economic determinants of inflation expectations such as gender, income or education, other characteristics such as the households’ financial situation and their purchasing attitudes also matter.

  Content Type(s): Staff research, Staff working papers Topic(s): Inflation and prices JEL Code(s): C, C5, C53, D, D8, D84, E, E3, E31

• Improving Overnight Loan Identification in Payments Systems

  Staff Working Paper 2014-25 Mark Rempel

  Information on the allocation and pricing of over-the-counter (OTC) markets is scarce. Furfine (1999) pioneered an algorithm that provides transaction-level data on the OTC interbank lending market.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial markets, Interest rates, Payment clearing and settlement systems JEL Code(s): C, C3, C38, C5, C53, E, E4, E42, E44, G, G1, G10
• May 13, 2014

  The Art and Science of Forecasting the Real Price of Oil

  Bank of Canada Review - Spring 2014 Christiane Baumeister

  Forecasts of the price of crude oil play a significant role in the conduct of monetary policy, especially for commodity producers such as Canada. This article presents a range of recently developed forecasting models that, when pooled together, can generate, on average, more accurate forecasts of the price of oil than the oil futures curve. It also illustrates how policy-makers can evaluate the risks associated with the baseline oil price forecast and how they can determine the causes of past oil price fluctuations.

  Content Type(s): Publications, Bank of Canada Review articles Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C53, E, E3, E32, Q, Q4, Q43

• Do High-Frequency Financial Data Help Forecast Oil Prices? The MIDAS Touch at Work

  Staff Working Paper 2014-11 Christiane Baumeister, Pierre Guérin, Lutz Kilian

  The substantial variation in the real price of oil since 2003 has renewed interest in the question of how to forecast monthly and quarterly oil prices. There also has been increased interest in the link between financial markets and oil markets, including the question of whether financial market information helps forecast the real price of oil in physical markets.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C53, G, G1, G14, Q, Q4, Q43

• Forecasting the Real Price of Oil in a Changing World: A Forecast Combination Approach

  Staff Working Paper 2013-28 Christiane Baumeister, Lutz Kilian

  The U.S. Energy Information Administration regularly publishes short-term forecasts of the price of crude oil.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C53, E, E3, E32, Q, Q4, Q43

• Are Product Spreads Useful for Forecasting? An Empirical Evaluation of the Verleger Hypothesis

  Staff Working Paper 2013-25 Christiane Baumeister, Lutz Kilian, Xiaoqing Zhou

  Notwithstanding a resurgence in research on out-of-sample forecasts of the price of oil in recent years, there is one important approach to forecasting the real price of oil which has not been studied systematically to date.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C53, G, G1, G15, Q, Q4, Q43
• August 15, 2013

  CSI: A Model for Tracking Short-Term Growth in Canadian Real GDP

  Bank of Canada Review - Summer 2013 André Binette, Jae Chang

  Canada’s Short-Term Indicator (CSI) is a new model that exploits the information content of 32 indicators to produce daily updates to forecasts of quarterly real GDP growth. The model is a data-intensive, judgment-free approach to short-term forecasting. While CSI’s forecasts at the start of the quarter are not very accurate, the model’s accuracy increases appreciably as more information becomes available. CSI is the latest addition to a wide range of models and information sources that the Bank of Canada uses, combined with expert judgment, to produce its short-term forecasts.

  Content Type(s): Publications, Bank of Canada Review articles Topic(s): Econometric and statistical methods JEL Code(s): C, C5, C53, E, E1, E17, E3, E37
• August 15, 2013

  The Accuracy of Short-Term Forecast Combinations

  Bank of Canada Review - Summer 2013 Eleonora Granziera, Corinne Luu, Pierre St-Amant

  This article examines whether combining forecasts of real GDP from different models can improve forecast accuracy and considers which model-combination methods provide the best performance. In line with previous literature, the authors find that combining forecasts generally improves forecast accuracy relative to various benchmarks. Unlike several previous studies, however, they find that, rather than assigning equal weights to each model, unequal weighting based on the past forecast performance of models tends to improve accuracy when forecasts across models are substantially different.

  Content Type(s): Publications, Bank of Canada Review articles Topic(s): Econometric and statistical methods JEL Code(s): C, C5, C52, C53, E, E3, E37
• August 15, 2013

  Big Data Analysis: The Next Frontier

  Bank of Canada Review - Summer 2013 Nii Ayi Armah

  The formulation of monetary policy at the Bank of Canada relies on the analysis of a broad set of economic information. Greater availability of immediate and detailed information would improve real-time economic decision making. Technological advances have provided an opportunity to exploit “big data” - the vast amount of digital data from business transactions, social media and networked computers. Big data can be a complement to traditional information sources, offering fresh insight for the monitoring of economic activity and inflation.

  Content Type(s): Publications, Bank of Canada Review articles Topic(s): Econometric and statistical methods, Monetary and financial indicators JEL Code(s): C, C5, C53, C6, C63, C8, C80