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2994 Results

Statistical Confidence Intervals for the Bank of Canada's Business Outlook Survey

Staff Discussion Paper 2010-7 Daniel de Munnik
While a number of central banks publish their own business conditions indicators that rely on non-random sampling, knowledge about their statistical accuracy has been limited.

Fourier Inversion Formulas for Multiple-Asset Option Pricing

Staff Working Paper 2015-11 Bruno Feunou, Ernest Tafolong
Plain vanilla options have a single underlying asset and a single condition on the payoff at the expiration date. For this class of options, a well-known result of Duffie, Pan and Singleton (2000) shows how to invert the characteristic function to obtain a closed-form formula for their prices.
Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing JEL Code(s): G, G1, G12

Which Bank is the "Central" Bank? An Application of Markov Theory to the Canadian Large Value Transfer System

Staff Working Paper 2008-42 Morten Bech, James Chapman, Rodney J. Garratt
We use a method similar to Google's PageRank procedure to rank banks in the Canadian Large Value Transfer System (LVTS). Along the way we obtain estimates of the payment processing speeds for the individual banks.
Content Type(s): Staff research, Staff working papers Research Topic(s): Payment clearing and settlement systems JEL Code(s): C, C1, C11, E, E5, E50, G, G2, G20
August 15, 2001

Analyzing the Monetary Aggregates

In recent years, the Bank has put renewed emphasis on analyzing monetary variables and on developing models that incorporate money as an active part of the transmission mechanism. In this article, Dinah Maclean describes how the monetary aggregates are used in the formulation of monetary policy analysis at the Bank, outlining the key tools and models used. The most important money-based model currently in use is the M1-VECM. In this model, deviations in the money supply from the long-term demand for money cause changes in inflation. The author briefly describes the "active-money" paradigm underlying this model and explains the key equations within it. Other simpler empirical models are also outlined, including single-equation indicator models for output based on the narrow aggregates, a neural network, and a model based on the broader aggregate M2++. A detailed technical annex provides details on model equations and coefficient values.
Content Type(s): Publications, Bank of Canada Review articles Research Topic(s): Monetary aggregates

Should Central Banks Worry About Nonlinearities of their Large-Scale Macroeconomic Models?

Staff Working Paper 2017-21 Vadym Lepetyuk, Lilia Maliar, Serguei Maliar
How wrong could policymakers be when using linearized solutions to their macroeconomic models instead of nonlinear global solutions?
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