Measuring Systemic Risk Across Financial Market Infrastructures Staff working paper 2016-10 Fuchun Li, Héctor Pérez Saiz We measure systemic risk in the network of financial market infrastructures (FMIs) as the probability that two or more FMIs have a large credit risk exposure to the same FMI participant. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C58, G, G2, G21, G23 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Money and payments, Payment and financial market infrastructures
Vertical Specialization and Gains from Trade Staff working paper 2017-17 Patrick Alexander Multi-stage production is widely recognized as an important feature of the modern global economy. This feature has been incorporated into many state-of-the-art quantitative trade models, and has been shown to deliver significant additional gains from international trade. Content Type(s): Staff research, Staff working papers JEL Code(s): F, F1, F11, F14, F6, F60 Research Theme(s): Models and tools, Economic models, Structural challenges, International trade, finance and competitiveness
Producer Heterogeneity, Value-Added, and International Trade Staff working paper 2016-54 Patrick Alexander Standard new trade models depict producers as heterogeneous in total factor productivity. In this paper, I adapt the Eaton and Kortum (2002) model of international trade to incorporate tradable intermediate goods and producer heterogeneity in value-added productivity. Content Type(s): Staff research, Staff working papers JEL Code(s): F, F1, F11, F12, F14 Research Theme(s): Models and tools, Economic models, Structural challenges, International trade, finance and competitiveness
News-Driven International Credit Cycles Staff working paper 2021-66 Galip Kemal Ozhan This paper examines the implications of positive news about future asset values that turn out to be incorrect at a later date in an open economy model with banking. The model captures the patterns of bank credit and current account dynamics in Spain between 2000 and 2010. The model finds that the use of unconventional policies leads to a milder bust. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E44, F, F3, F32, F4, F41, G, G1, G15, G2, G21 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Models and tools, Economic models, Structural challenges, International trade, finance and competitiveness
Interconnected Banks and Systemically Important Exposures Staff working paper 2019-44 Alan Roncoroni, Stefano Battiston, Marco D’Errico, Grzegorz Halaj, Christoffer Kok 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 JEL Code(s): C, C6, C63, G, G1, G15, G2, G21 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial institutions and intermediation, Financial stability and systemic risk
Understanding the Systemic Implications of Climate Transition Risk: Applying a Framework Using Canadian Financial System Data Staff discussion paper 2023-32 Gabriel Bruneau, Javier Ojea Ferreiro, Andrew Plummer, Marie-Christine Tremblay, Aidan Witts Our study aims to gain insight on financial stability and climate transition risk. We develop a methodological framework that captures the direct effects of a stressful climate transition shock as well as the indirect—or systemic—implications of these direct effects. We apply this framework using data from the Canadian financial system. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C6, C63, G, G0, G01, G1, G10, G2, G20, Q, Q5, Q54 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Economic models, Structural challenges, Climate change
Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects Staff working paper 2019-16 Kerem Tuzcuoglu Modeling and estimating persistent discrete data can be challenging. In this paper, we use an autoregressive panel probit model where the autocorrelation in the discrete variable is driven by the autocorrelation in the latent variable. In such a non-linear model, the autocorrelation in an unobserved variable results in an intractable likelihood containing high-dimensional integrals. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C2, C23, C25, C5, C58, G, G2, G24 Research Theme(s): Financial system, Household and business credit, Models and tools, Econometric, statistical and computational methods, Economic models