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3029 Results

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.

Uncovering Inflation Expectations and Risk Premiums From Internationally Integrated Financial Markets

Staff Working Paper 1999-6 Ben Fung, Scott Mitnick, Eli Remolona
Theory and empirical evidence suggest that the term structure of interest rates reflects risk premiums as well as market expectations about future inflation and real interest rates. We propose an approach to extracting such premiums and expectations by exploiting both the comovements among interest rates across the yield curve and between two countries, Canada and […]

Understanding Post-COVID Inflation Dynamics

Staff Working Paper 2022-50 Martin Harding, Jesper Lindé, Mathias Trabandt
We propose a macroeconomic model with a nonlinear Phillips curve that has a flat slope when inflationary pressures are subdued and steepens when inflationary pressures are elevated. Our model can generate more sizable inflation surges due to cost-push and demand shocks than a standard linearized model when inflation is high.

Dating Systemic Financial Stress Episodes in the EU Countries

Staff Working Paper 2016-11 Benjamin Klaus, Tuomas Peltonen, Thibaut Duprey
This paper introduces a new methodology to date systemic financial stress events in a transparent, objective and reproducible way. The financial cycle is captured by a monthly country-specific financial stress index.

Monetary Policy Transmission to Small Business Loan Performance: Evidence from Loan-Level Data

Staff Working Paper 2024-41 Rodrigo Sekkel, Tamon Takamura, Yaz Terajima
We analyze the dynamic and heterogeneous responses of small-business loan performance to a monetary-policy shock using loan-level data in Canada. We find evidence of monetary policy transmission through the cash-flow channel and the aggregate demand channel as well as some, though limited, impact of collateral to discipline loan repayment.
Content Type(s): Staff research, Staff working papers Research Topic(s): Firm dynamics, Monetary policy transmission JEL Code(s): C, C3, C32, E, E1, E17, E3, E37, E5, E52

Ownership Concentration and Competition in Banking Markets

Staff Working Paper 2006-7 Alexandra Lai, Raphael Solomon
Many countries prohibit large shareholdings in their domestic banks.The authors examine whether such a restriction restrains competition in a duopolistic loan market. Blockholders may influence managers' output decisions by choosing capital structure, as in Brander and Lewis (1986).

The ‘Celtic Crisis’: Guarantees, Transparency and Systemic Liquidity Risk

Staff Working Paper 2013-31 Philipp König, Kartik Anand, Frank Heinemann
Bank liability guarantee schemes have traditionally been viewed as costless measures to shore up investor confidence and prevent bank runs. However, as the experiences of some European countries, most notably Ireland, have demonstrated, the credibility and effectiveness of these guarantees are crucially intertwined with the sovereign’s funding risks.

Where Does Price Discovery Occur in FX Markets?

Staff Working Paper 2007-52 Chris D'Souza
Trades in foreign exchange markets are initiated around the world and around the clock. This study illustrates that trades are more informative when initiated in a local country or in major foreign exchange centers like London and New York.

Finding a Needle in a Haystack: A Machine Learning Framework for Anomaly Detection in Payment Systems

Staff Working Paper 2024-15 Ajit Desai, Anneke Kosse, Jacob Sharples
Our layered machine learning framework can enhance real-time transaction monitoring in high-value payment systems, which are a central piece of a country’s financial infrastructure. When tested on data from Canadian payment systems, it demonstrated potential for accurately identifying anomalous transactions. This framework could help improve cyber and operational resilience of payment systems.
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