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35 Results

Short-Term Forecasting of the Japanese Economy Using Factor Models

Staff Working Paper 2012-7 Claudia Godbout, Marco J. Lombardi
While the usefulness of factor models has been acknowledged over recent years, little attention has been devoted to the forecasting power of these models for the Japanese economy. In this paper, we aim at assessing the relative performance of factor models over different samples, including the recent financial crisis.

Mixed Frequency Forecasts for Chinese GDP

Staff Working Paper 2011-11 Philipp Maier
We evaluate different approaches for using monthly indicators to predict Chinese GDP for the current and the next quarter (‘nowcasts’ and ‘forecasts’, respectively). We use three types of mixed-frequency models, one based on an economic activity indicator (Liu et al., 2007), one based on averaging over indicator models (Stock and Watson, 2004), and a static factor model (Stock and Watson, 2002).

'Lean' versus 'Rich' Data Sets: Forecasting during the Great Moderation and the Great Recession

Staff Working Paper 2010-37 Marco J. Lombardi, Philipp Maier
We evaluate forecasts for the euro area in data-rich and ‘data-lean' environments by comparing three different approaches: a simple PMI model based on Purchasing Managers' Indices (PMIs), a dynamic factor model with euro area data, and a dynamic factor model with data from the euro plus data from national economies (pseudo-real time data).

Losses from Simulated Defaults in Canada's Large Value Transfer System

Staff Discussion Paper 2010-14 Nellie Zhang, Tom Hossfeld
The Large Value Transfer System (LVTS) loss-sharing mechanism was designed to ensure that, in the event of a one-participant default, the collateral pledged by direct members of the system would be sufficient to cover the largest possible net debit position of a defaulting participant. However, the situation may not hold if the indirect effects of the defaults are taken into consideration, or if two participants default during the same payment cycle.

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).

A Financial Conditions Index for the United States

Staff Discussion Paper 2009-11 Kimberly Beaton, René Lalonde, Corinne Luu
The financial crisis of 2007–09 has highlighted the importance of developments in financial conditions for real economic activity. The authors estimate the effect of current and past shocks to financial variables on U.S. GDP growth by constructing two growthbased financial conditions indexes (FCIs) that measure the contribution to quarterly (annualized) GDP growth from financial conditions.

Combining Canadian Interest-Rate Forecasts

Staff Working Paper 2008-34 David Bolder, Yuliya Romanyuk
Model risk is a constant danger for financial economists using interest-rate forecasts for the purposes of monetary policy analysis, portfolio allocations, or risk-management decisions. Use of multiple models does not necessarily solve the problem as it greatly increases the work required and still leaves the question "which model forecast should one use?"

Estimation and Inference by the Method of Projection Minimum Distance

Staff Working Paper 2007-56 Òscar Jordà, Sharon Kozicki
A covariance-stationary vector of variables has a Wold representation whose coefficients can be semi-parametrically estimated by local projections (Jordà, 2005). Substituting the Wold representations for variables in model expressions generates restrictions that can be used by the method of minimum distance to estimate model parameters.
Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C3, C32, C5, C53, E, E4, E47

Unanticipated Defaults and Losses in Canada's Large-Value Payments System, Revisited

Staff Discussion Paper 2007-5 Devin Ball, Walter Engert
Recent work at the Bank of Canada studied the impact of default in Canada’s large-value payments system, and concluded that participants could readily manage their potential losses (McVanel 2005). In an extension of that work, the authors use a much larger set of daily payments data – with three times as many observations – to […]

The Zero Bound on Nominal Interest Rates: Implications for the Optimal Monetary Policy in Canada

Staff Discussion Paper 2007-1 Claude Lavoie, Hope Pioro
The authors assess the performance of the Canadian economy under a variety of interest rate rules when the zero bound on nominal interest rates can bind. Their assessment is based on numerical simulations of a dynamic stochastic general-equilibrium model in a stochastic environment. Consistent with the literature, the authors find that the probability and consequences […]
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