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57 Results

January 30, 2003

Annual Report 2002

In the year just ended, the global economy faced a number of exceptional challenges, reflecting a wide range of economic, financial, and geopolitical risks and uncertainties. These included the fallout from the September 2001 terrorist attacks, corporate accounting scandals, stock market volatility, and developments in the Middle East. Despite this global backdrop, the Canadian economy outperformed virtually all other industrial economies, growing by about 3 1/4 per cent and creating 560,000 jobs, while inflation expectations remained well anchored to the Bank of Canada’s 2 per cent inflation-control target.
Content Type(s): Publications, Annual Report

Risk-Cost Frontier and Collateral Valuation in Securities Settlement Systems for Extreme Market Events

Staff Working Paper 2006-17 Alejandro García, Ramazan Gençay
The authors examine how the use of extreme value theory yields collateral requirements that are robust to extreme fluctuations in the market price of the asset used as collateral.

Learning, Equilibrium Trend, Cycle, and Spread in Bond Yields

Staff Working Paper 2020-14 Guihai Zhao
This equilibrium model explains the trend in long-term yields and business-cycle movements in short-term yields and yield spreads. The less-frequent inverted yield curves (and less-frequent recessions) after the 1990s are due to recent secular stagnation and procyclical inflation expectations.
Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Financial markets, Interest rates JEL Code(s): E, E4, E43, G, G0, G00, G1, G12

Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning

Using the quantum Monte Carlo algorithm, we study whether quantum computing can improve the run time of economic applications and challenges in doing so. We apply the algorithm to two models: a stress testing bank model and a DSGE model solved with deep learning. We also present innovations in the algorithm and benchmark it to classical Monte Carlo.

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.
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