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147 Results

Uncollateralized Overnight Loans Settled in LVTS

Staff Working Paper 2007-11 Scott Hendry, Nadja Kamhi
Loan-level data on the uncollateralized overnight loan market is generated using payment data from Canada's Large Value Transfer System (LVTS) and a modified version of the methodology proposed in Furfine (1999). There were on average just under 100 loans extended in this market each day from March 2004 to March 2006 for a total daily value of about $5 billion.
Content Type(s): Staff research, Staff working papers Topic(s): Financial markets, Interest rates JEL Code(s): E, E4, E44, E5, E50, G, G1, G12

Monetary Policy in an Estimated DSGE Model with a Financial Accelerator

Staff Working Paper 2006-9 Ian Christensen, Ali Dib
The authors estimate a sticky-price dynamic stochastic general-equilibrium model with a financial accelerator, à la Bernanke, Gertler, and Gilchrist (1999), to assess the importance of financial frictions in the amplification and propagation of the effects of transitory shocks.

Simple Monetary Policy Rules in an Open-Economy, Limited-Participation Model

Staff Working Paper 2003-38 Scott Hendry, Wai-Ming Ho, Kevin Moran
The authors assess the stabilization properties of simple monetary policy rules within the context of a small open-economy model constructed around the limited-participation assumption and calibrated to salient features of the Canadian economy. By relying on limited participation as the main nominal friction that affects the artificial economy, the authors provide an important check of the robustness of the results obtained using alternative environments in the literature on monetary policy rules, most notably the now-standard "New Keynesian" paradigm that emphasizes rigidities in the price-setting mechanism.

Excess Collateral in the LVTS: How Much is Too Much?

Staff Working Paper 2003-36 Kim McPhail, Anastasia Vakos
The authors build a theoretical model that generates demand for collateral by Large Value Transfer System (LVTS) participants under the assumption that they minimize the cost of holding and managing collateral for LVTS purposes. The model predicts that the optimal amount of collateral held by each LVTS participant depends on the opportunity cost of collateral, the transactions costs of acquiring assets used as collateral and transferring them in and out of the LVTS, and the distribution of an LVTS participant's payment flows in the LVTS.
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