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33 Results

What Fed Funds Futures Tell Us About Monetary Policy Uncertainty

Staff Working Paper 2016-61 Jean-Sébastien Fontaine
The uncertainty around future changes to the Federal Reserve target rate varies over time. In our results, the main driver of uncertainty is a “path” factor signaling information about future policy actions, which is filtered from federal funds futures data.
Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Financial markets, Interest rates JEL Code(s): E, E4, E43, E44, E47, G, G1, G12, G13

Examining Full Collateral Coverage in Canada’s Large Value Transfer System

Staff Working Paper 2015-29 Lana Embree, Varya Taylor
The Large Value Transfer System (LVTS) is Canada’s main electronic interbank funds transfer system that financial institutions use daily to transmit thousands of payments worth several billions of dollars.

Predicting Financial Stress Events: A Signal Extraction Approach

Staff Working Paper 2014-37 Ian Christensen, Fuchun Li
The objective of this paper is to propose an early warning system that can predict the likelihood of the occurrence of financial stress events within a given period of time. To achieve this goal, the signal extraction approach proposed by Kaminsky, Lizondo and Reinhart (1998) is used to monitor the evolution of a number of economic indicators that tend to exhibit an unusual behaviour in the periods preceding a financial stress event.

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.

Bond Risk Premia and Gaussian Term Structure Models

Staff Working Paper 2014-13 Bruno Feunou, Jean-Sébastien Fontaine
Cochrane and Piazzesi (2005) show that (i) lagged forward rates improve the predictability of annual bond returns, adding to current forward rates, and that (ii) a Markovian model for monthly forward rates cannot generate the pattern of predictability in annual returns.
Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Interest rates JEL Code(s): E, E4, E43, E47, G, G1, G12

Cash Management and Payment Choices: A Simulation Model with International Comparisons

Despite various payment innovations, today, cash is still heavily used to pay for low-value purchases. This paper develops a simulation model to test whether standard implications of the theory on cash management and payment choices can explain the use of payment instruments by transaction size.

Estimating the Policy Rule from Money Market Rates when Target Rate Changes Are Lumpy

Staff Working Paper 2012-41 Jean-Sébastien Fontaine
Most central banks effect changes to their target or policy rate in discrete increments (e.g., multiples of 0.25%) following public announcements on scheduled dates. Still, for most applications, researchers rely on the assumption that the policy rate changes linearly with economic conditions and they do not distinguish between dates with and without scheduled announcements.
Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Financial markets, Interest rates JEL Code(s): E, E4, E43, E44, E47, G, G1, G12, G13

Forecasting Inflation and the Inflation Risk Premiums Using Nominal Yields

Staff Working Paper 2012-37 Bruno Feunou, Jean-Sébastien Fontaine
We provide a decomposition of nominal yields into real yields, expectations of future inflation and inflation risk premiums when real bonds or inflation swaps are unavailable or unreliable due to their relative illiquidity.

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).
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