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52 Results

Towards a More Complete Debt Strategy Simulation Framework

Staff Working Paper 2002-13 David Bolder
An effective technique governments use to evaluate the desirability of different financing strategies involves stochastic simulation. This approach requires the postulation of the future dynamics of key macroeconomic variables and the use of those variables in the construction of a debt charge distribution for each individual financing strategy.

Sources of Borrowing and Fiscal Multipliers

Staff Working Paper 2018-32 Romanos Priftis, Srecko Zimic
This paper finds that debt-financed government spending multipliers vary considerably depending on the location of the debt buyer. In a sample of 33 countries, we find that government spending multipliers are larger when government purchases are financed by issuing debt to foreign investors (non-residents), compared with when government purchases are financed by issuing debt to home investors (residents).

Unconventional Monetary Policy and the Great Recession: Estimating the Macroeconomic Effects of a Spread Compression at the Zero Lower Bound

Staff Working Paper 2012-21 Christiane Baumeister, Luca Benati
We explore the macroeconomic effects of a compression in the long-term bond yield spread within the context of the Great Recession of 2007-2009 via a time-varying parameter structural VAR model.

Risk, Entropy, and the Transformation of Distributions

Staff Working Paper 2002-11 Mark Reesor, Don McLeish
The exponential family, relative entropy, and distortion are methods of transforming probability distributions. We establish a link between those methods, focusing on the relation between relative entropy and distortion.

Exponentials, Polynomials, and Fourier Series: More Yield Curve Modelling at the Bank of Canada

Staff Working Paper 2002-29 David Bolder, Scott Gusba
This paper continues the work started by Bolder and Stréliski (1999) and considers two alternative classes of models for extracting zero-coupon and forward rates from a set of observed Government of Canada bond and treasury-bill prices.

CANVAS: A Canadian Behavioral Agent-Based Model

The Bank of Canada’s current suite of models faces challenges in addressing network effects that integrate household and firm-level heterogeneity and their behaviours. We develop CANVAS, a Canadian behavioural agent-based model to contribute to the Bank’s next-generation modelling effort. CANVAS improves forecasting performance and expands capacity for model-based scenario analysis.

Canada and the IMF: Trailblazer or Prodigal Son?

Staff Discussion Paper 2009-1 Michael Bordo, Lawrence L. Schembri, Tamara Gomes
Canada played an important role in the postwar establishment of the International Monetary Fund (IMF), yet it was also the first major member to challenge the orthodoxy of the BrettonWoods par value system by abandoning it in 1950 in favour of a floating, market-determined exchange rate.

Text Mining and the Information Content of Bank of Canada Communications

Staff Working Paper 2010-31 Scott Hendry, Alison Madeley
This paper uses Latent Semantic Analysis to extract information from Bank of Canada communication statements and investigates what type of information affects returns and volatility in short-term as well as long-term interest rate markets over the 2002-2008 period.

Central Bank Communication or the Media’s Interpretation: What Moves Markets?

Staff Working Paper 2012-9 Scott Hendry
The goal of this paper is to investigate what type of information from Bank of Canada communication statements or the market commentary based on these statements has a significant effect on the volatility or level of returns in a short-term interest rate market.
Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Financial markets JEL Code(s): E, E5, E58, G, G1, G14

The Role of Beliefs in Entering and Exiting the Bitcoin Market

We develop a model that links investors’ decisions to enter or exit the Bitcoin market with their beliefs about the survival of Bitcoin. Empirical testing using Canadian data reveals that beliefs strongly influence both entries and exits, and this impact varies with time and ownership status.
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