Predicting Financial Stress Events: A Signal Extraction Approach Staff Working Paper 2014-37 Ian Christensen, Fuchun Li The objective of this paper is to propose an early warning system that can predict the likelihood of the occurrence of financial stress events within a given period of time. To achieve this goal, the signal extraction approach proposed by Kaminsky, Lizondo and Reinhart (1998) is used to monitor the evolution of a number of economic indicators that tend to exhibit an unusual behaviour in the periods preceding a financial stress event. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial stability JEL Code(s): C, C1, C14, C4, E, E3, E37, E4, E47, F, F3, F36, F37, G, G0, G01, G1, G17
Financial Intermediaries and the Macroeconomy: Evidence from a High-Frequency Identification Staff Working Paper 2022-24 Pablo Ottonello, Wenting Song We provide empirical evidence of effects to the aggregate economy from surprises about financial intermediaries’ net worth based on a high-frequency identification strategy. We estimate that news of a 1% decline in intermediaries’ net worth leads to a 0.2%–0.4% decrease in the market value of nonfinancial firms. Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing, Business fluctuations and cycles, Credit and credit aggregates, Financial institutions, Financial markets, Financial system regulation and policies, Monetary and financial indicators JEL Code(s): E, E3, E32, E4, E44, E5, E51, G, G0, G01, G1, G12, G2, G21, G23, G24, G3, G32
Network Analysis and Canada's Large Value Transfer System Staff Discussion Paper 2009-13 Lana Embree, Tom Roberts Analysis of the characteristics and structure of a network of financial institutions can provide insight into the complex relationships and interdependencies that exist in a payment, clearing, and settlement system (PCSS), and allow an intuitive understanding of the PCSS's efficiency, stability, and resiliency. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Financial stability, Payment clearing and settlement systems JEL Code(s): D, D8, D85, G, G1, G10
Unregulated Lending, Mortgage Regulations and Monetary Policy Staff Working Paper 2022-28 Ugochi Emenogu, Brian Peterson This paper evaluates the effectiveness of macroprudential policies when regulations are uneven across mortgage lender types. We look at credit tightening that results from macroprudential regulations and examine how much of it is counteracted by credit shifting to unregulated lenders. We also study the impact of monetary policy tightening when some lenders are unregulated. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial institutions, Financial system regulation and policies, Monetary policy transmission JEL Code(s): E, E4, E44, E5, E50, E52, E58, G, G2, G21, G23, G28
Monetary Policy Uncertainty: A Tale of Two Tails Staff Working Paper 2018-50 Tatjana Dahlhaus, Tatevik Sekhposyan We document a strong asymmetry in the evolution of federal funds rate expectations and map this observed asymmetry into measures of monetary policy uncertainty. We show that periods of monetary policy tightening and easing are distinctly related to downside (policy rate is higher than expected) and upside (policy rate is lower than expected) uncertainty. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Monetary policy and uncertainty, Monetary policy communications, Monetary policy transmission JEL Code(s): C, C1, C18, C3, C32, E, E0, E02, E4, E43, E5, E52
Are Distorted Beliefs Too Good to be True? Staff Working Paper 2003-4 Miroslav Misina In a recent attempt to account for the equity-premium puzzle within a representative-agent model, Cecchetti, Lam, and Mark (2000) relax the assumption of rational expectations and in its place use the assumption of distorted beliefs. The author shows that the explanatory power of the distorted beliefs model is due to an inconsistency in the model and that an attempt to remove this inconsistency removes the model's explanatory power. Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Financial markets JEL Code(s): D, D8, D84, G, G1, G12
Macroeconomic Predictions Using Payments Data and Machine Learning Staff Working Paper 2022-10 James Chapman, Ajit Desai We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Payment clearing and settlement systems JEL Code(s): C, C5, C53, C55, E, E3, E37, E4, E42, E5, E52
June 21, 2009 Procyclicality and Bank Capital Financial System Review - June 2009 Neville Arjani Content Type(s): Publications, Financial System Review articles
Lessons from the Financial Crisis: Bank Performance and Regulatory Reform Staff Discussion Paper 2013-4 Neville Arjani, Graydon Paulin The financial systems of some countries fared materially better than others during the global financial crisis of 2007-09. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Financial institutions, Financial system regulation and policies JEL Code(s): G, G2, G21, G28
Bank Leverage Regulation and Macroeconomic Dynamics Staff Working Paper 2011-32 Ian Christensen, Césaire Meh, Kevin Moran This paper assesses the merits of countercyclical bank balance sheet regulation for the stabilization of financial and economic cycles and examines its interaction with monetary policy. Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Financial institutions, Financial system regulation and policies, Monetary policy framework, Monetary policy transmission JEL Code(s): E, E4, E44, E5, E52, G, G2, G21