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80 Results

Survival Analysis of Bank Note Circulation: Fitness, Network Structure and Machine Learning

Staff Working Paper 2020-33 Diego Rojas, Juan Estrada, Kim Huynh, David T. Jacho-Chávez
Using the Bank of Canada's Currency Information Management Strategy, we analyze the network structure traced by a bank note’s travel in circulation and find that the denomination of the bank note is important in our potential understanding of the demand and use of cash.

ToTEM III: The Bank of Canada’s Main DSGE Model for Projection and Policy Analysis

ToTEM III is the most recent generation of the Bank of Canada’s main dynamic stochastic general equilibrium model for projection and policy analysis. The model helps Bank staff tell clear and coherent stories about the Canadian economy’s current state and future evolution.

Interconnected Banks and Systemically Important Exposures

How do banks' interconnections in the euro area contribute to the vulnerability of the banking system? We study both the direct interconnections (banks lend to each other) and the indirect interconnections (banks are exposed to similar sectors of the economy). These complex linkages make the banking system more vulnerable to contagion risks.
Content Type(s): Staff research, Staff working papers Topic(s): Financial stability JEL Code(s): C, C6, C63, G, G1, G15, G2, G21

Model Uncertainty and Wealth Distribution

Staff Working Paper 2019-48 Edouard Djeutem, Shaofeng Xu
This paper studies the implications of model uncertainty for wealth distribution in a tractable general equilibrium model with a borrowing constraint and robustness à la Hansen and Sargent (2008). Households confront model uncertainty about the process driving the return of the risky asset, and they choose robust policies.

Behavioral Learning Equilibria in New Keynesian Models

Staff Working Paper 2022-42 Cars Hommes, Kostas Mavromatis, Tolga Özden, Mei Zhu
We introduce behavioral learning equilibria (BLE) into DSGE models with boundedly rational agents using simple but optimal first order autoregressive forecasting rules. The Smets-Wouters DSGE model with BLE is estimated and fits well with inflation survey expectations. As a policy application, we show that learning requires a lower degree of interest rate smoothing.

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.

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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