Analyzing and Forecasting the Canadian Economy through the LENS Model Technical Report No. 102 Olivier Gervais, Marc-André Gosselin The authors describe the key features of a new large-scale Canadian macroeconomic forecasting model developed over the past two years at the Bank of Canada. Content Type(s): Staff research, Technical reports Topic(s): Econometric and statistical methods, Economic models JEL Code(s): C, C5, C53, E, E1, E17, E2, E27, E3, E37, F, F1, F17
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
A Distributional Approach to Realized Volatility Staff Working Paper 2013-49 Selma Chaker, Nour Meddahi This paper proposes new measures of the integrated variance, measures which use high-frequency bid-ask spreads and quoted depths. The traditional approach assumes that the mid-quote is a good measure of frictionless price. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial markets JEL Code(s): C, C1, C14, C5, C51, C58
Volatility Forecasting when the Noise Variance Is Time-Varying Staff Working Paper 2013-48 Selma Chaker, Nour Meddahi This paper explores the volatility forecasting implications of a model in which the friction in high-frequency prices is related to the true underlying volatility. The contribution of this paper is to propose a framework under which the realized variance may improve volatility forecasting if the noise variance is related to the true return volatility. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial markets JEL Code(s): C, C1, C14, C5, C51, C58
Which Parametric Model for Conditional Skewness? Staff Working Paper 2013-32 Bruno Feunou, Mohammad R. Jahan-Parvar, Roméo Tedongap This paper addresses an existing gap in the developing literature on conditional skewness. We develop a simple procedure to evaluate parametric conditional skewness models. This procedure is based on regressing the realized skewness measures on model-implied conditional skewness values. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C2, C22, C5, C51, G, G1, G12, G15
Volatility and Liquidity Costs Staff Working Paper 2013-29 Selma Chaker Observed high-frequency prices are contaminated with liquidity costs or market microstructure noise. Using such data, we derive a new asset return variance estimator inspired by the market microstructure literature to explicitly model the noise and remove it from observed returns before estimating their variance. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial markets, Market structure and pricing JEL Code(s): C, C1, C14, C5, C51, C58, G, G2, G20