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392 Results

June 9, 2010

Crude Oil Futures: A Crystal Ball?

Based on recent research, this article discusses three ways that oil-futures prices can improve our understanding of current conditions and future prospects in the global market for crude oil. First, the response of the oil-futures curve can be used to identify the persistence of oil-price shocks and to obtain an indicator of the rate at which they will diminish. Second, the spread between the current futures price and the spot price of oil can be interpreted as an indicator of the precautionary demand for oil. Third, because oil-futures prices are volatile, forecasts of the future spot price of oil using futures prices should be supplemented with other information to improve their accuracy.

The Fisher BCPI: The Bank of Canada’s New Commodity Price Index

Staff Discussion Paper 2010-6 Ilan Kolet, Ryan Macdonald
The prices of commodities produced in Canada have important implications for the performance of the Canadian economy and the conduct of monetary policy. The authors explain an important change to the methodology used to construct the Bank of Canada commodity price index (BCPI).

On the Advantages of Disaggregated Data: Insights from Forecasting the U.S. Economy in a Data-Rich Environment

Staff Working Paper 2010-10 Nikita Perevalov, Philipp Maier
The good forecasting performance of factor models has been well documented in the literature. While many studies focus on a very limited set of variables (typically GDP and inflation), this study evaluates forecasting performance at disaggregated levels to examine the source of the improved forecasting accuracy, relative to a simple autoregressive model. We use the latest revision of over 100 U.S. time series over the period 1974-2009 (monthly and quarterly data).

Market Expectations and Option Prices: Evidence for the Can$/US$ Exchange Rate

Staff Discussion Paper 2010-2 Alejandro García, Andrei Prokopiw
Security prices contain valuable information that can be used to make a wide variety of economic decisions. To extract this information, a model is required that relates market prices to the desired information, and that ideally can be implemented using timely and low-cost methods.
March 9, 2010

Monetary Policy Rules in an Uncertain Environment

This article examines recent research on the influence of various forms of economic uncertainty on the performance of different classes of monetary policy rules: from simple rules to fully optimal monetary policy under commitment. The authors explain why uncertainty matters in the design of monetary policy rules and provide quantitative examples from the recent literature. They also present results for several policy rules in ToTEM, the Bank of Canada's main model for projection and analysis, including rules that respond to price level, rather than to inflation.

What Drives Exchange Rates? New Evidence from a Panel of U.S. Dollar Bilateral Exchange Rates

We use a novel approach to identify economic developments that drive exchange rates in the long run. Using a panel of six quarterly U.S. bilateral real exchange rates – Australia, Canada, the euro, Japan, New Zealand and the United Kingdom – over the 1980-2007 period, a dynamic factor model points to two common factors.

Estimating DSGE-Model-Consistent Trends for Use in Forecasting

The workhorse DSGE model used for monetary policy evaluation is designed to capture business cycle fluctuations in an optimization-based format. It is commonplace to log-linearize models and express them with variables in deviation-from-steady-state format.

Real Time Detection of Structural Breaks in GARCH Models

Staff Working Paper 2009-31 Zhongfang He, John M. Maheu
A sequential Monte Carlo method for estimating GARCH models subject to an unknown number of structural breaks is proposed. Particle filtering techniques allow for fast and efficient updates of posterior quantities and forecasts in real time.
September 11, 2009

Understanding Corporate Bond Spreads Using Credit Default Swaps

Corporate bond spreads worldwide have widened markedly since the beginning of the credit crisis in 2007. This article examines default and liquidity risk–the main components of the corporate bond spread–for Canadian firms that issue bonds in the U.S. market, focusing in particular on their evolution during the credit crisis. They find that, during this period, the liquidity component increased more for speculative-grade bonds than it did for investment-grade bonds, consistent with a "flight-to-quality" phenomenon. An important implication of their results for policy-makers seeking to address problems in credit markets is that the liquidity risk in corporate spreads for investment and speculative bonds behaves differently than the default risk, especially during crisis episodes.
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