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64 Results

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.

Allocative Efficiency and the Productivity Slowdown

Staff Working Paper 2021-1 Lin Shao, Rongsheng Tang
In our analysis of the US productivity slowdown in the 1970s and 2000s, we find that a significant portion of this deceleration can be attributed to a lack of improvement in allocative efficiency across sectors. Our analysis further identifies increased sector-level volatility as a major contributor to this lack of improvement in allocative efficiency.
Content Type(s): Staff research, Staff working papers Topic(s): Economic models, Productivity JEL Code(s): E, E2, E23, O, O4, O47

The Role of International Financial Integration in Monetary Policy Transmission

Staff Working Paper 2024-3 Jing Cynthia Wu, Yinxi Xie, Ji Zhang
We propose an open-economy New Keynesian model with financial integration that allows financial intermediaries to hold foreign long-term bonds. We study the implications of financial integration on monetary policy transmission. Among various aspects of financial integration, the bond duration plays a major role. These results hold for conventional and unconventional monetary policies.
January 30, 2001

Annual Report 2001

The year that just passed posed many challenges for all Canadians. The slowdown in the global economy became more pronounced as the year went on, and this affected households, businesses, and governments alike. The tragedy of 11 September compounded the economic difficulties and issues facing us all. Through this period of rapidly changing circumstances, the Bank met its responsibilities by responding quickly and vigorously to events in order to underpin confidence and support the economy.
Content Type(s): Publications, Annual Report

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.
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