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82 Results

A General Approach to Recovering Market Expectations from Futures Prices with an Application to Crude Oil

Staff Working Paper 2016-18 Christiane Baumeister, Lutz Kilian
Futures markets are a potentially valuable source of information about price expectations. Exploiting this information has proved difficult in practice, because time-varying risk premia often render the futures price a poor measure of the market expectation of the price of the underlying asset.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C53, D, D8, D84, G, G1, G14, Q, Q4, Q43

New Housing Registrations as a Leading Indicator of the BC Economy

Staff Discussion Paper 2016-3 Calista Cheung, Dmitry Granovsky
Housing starts and building permits data are commonly used as leading indicators of economic activity. In British Columbia, all new homes must be registered with the Homeowner Protection Office, a branch of BC Housing, before the issuance of building permits and the start of construction.

Nowcasting BRIC+M in Real Time

Emerging-market economies have become increasingly important in driving global GDP growth over the past 10 to 15 years. This has made timely and accurate assessment of current and future economic activity in emerging markets important for policy-makers not only in these countries but also in advanced economies.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C3, C33, C5, C53, E, E3, E37

Model Averaging in Markov-Switching Models: Predicting National Recessions with Regional Data

Staff Working Paper 2015-24 Pierre Guérin, Danilo Leiva-Leon
This paper introduces new weighting schemes for model averaging when one is interested in combining discrete forecasts from competing Markov-switching models. In particular, we extend two existing classes of combination schemes – Bayesian (static) model averaging and dynamic model averaging – so as to explicitly reflect the objective of forecasting a discrete outcome.

Targeting Inflation from Below - How Do Inflation Expectations Behave?

Staff Working Paper 2014-52 Michael Ehrmann
Inflation targeting (IT) had originally been introduced as a device to bring inflation down and stabilize it at low levels. Given the current environment of persistently weak inflation in many advanced economies, IT central banks must now bring inflation up to target.
Content Type(s): Staff research, Staff working papers Research Topic(s): Inflation and prices, Inflation targets JEL Code(s): C, C5, C53, E, E3, E31, E5, E52, E58

Are There Gains from Pooling Real-Time Oil Price Forecasts?

Staff Working Paper 2014-46 Christiane Baumeister, Lutz Kilian, Thomas K. Lee
The answer as to whether there are gains from pooling real-time oil price forecasts depends on the objective. The approach of combining five of the leading forecasting models with equal weights dominates the strategy of selecting one model and using it for all horizons up to two years.

What Does the Convenience Yield Curve Tell Us about the Crude Oil Market?

Staff Working Paper 2014-42 Ron Alquist, Gregory Bauer, Antonio Diez de los Rios
Using the prices of crude oil futures contracts, we construct the term structure of crude oil convenience yields out to one-year maturity. The crude oil convenience yield can be interpreted as the interest rate, denominated in barrels of oil, for borrowing a single barrel of oil, and it measures the value of storing crude oil over the borrowing period.
Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing, International topics JEL Code(s): C, C5, C53, G, G1, G12, G13, Q, Q4, Q43

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.
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