Challenges in Implementing Worst-Case Analysis Staff Working Paper 2018-47 Jon Danielsson, Lerby Ergun, Casper G. de Vries Worst-case analysis is used among financial regulators in the wake of the recent financial crisis to gauge the tail risk. We provide insight into worst-case analysis and provide guidance on how to estimate it. We derive the bias for the non-parametric heavy-tailed order statistics and contrast it with the semi-parametric extreme value theory (EVT) approach. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial stability JEL Code(s): C, C0, C01, C1, C14, C5, C58
Parallel Tempering for DSGE Estimation Staff Working Paper 2024-13 Joshua Brault I develop a population-based Markov chain Monte Carlo algorithm known as parallel tempering to estimate dynamic stochastic general equilibrium models. Parallel tempering approximates the posterior distribution of interest using a family of Markov chains with tempered posteriors. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Economic models JEL Code(s): C, C1, C11, C15, E, E1, E10
On the Fragility of DeFi Lending Staff Working Paper 2023-14 Jonathan Chiu, Emre Ozdenoren, Kathy Yuan, Shengxing Zhang We develop a dynamic model to capture key features of decentralized finance lending. We identify a price-liquidity feedback: the market outcome in any given period depends on agents' expectations about lending activities in future periods, with higher future price expectations leading to more lending and higher prices in that period. Content Type(s): Staff research, Staff working papers Research Topic(s): Digital currencies and fintech, Financial stability JEL Code(s): G, G0, G01, G1, G10
The Rise of Non-Regulated Financial Intermediaries in the Housing Sector and its Macroeconomic Implications Staff Working Paper 2017-36 Hélène Desgagnés I examine the impact of non-regulated lenders in the mortgage market using a dynamic stochastic general equilibrium (DSGE) model. My model features two types of financial intermediaries that differ in three ways: (i) only regulated intermediaries face a capital requirement, (ii) non-regulated intermediaries finance themselves by selling securities and cannot accept deposits, and (iii) non-regulated intermediaries face a more elastic demand. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Economic models, Financial system regulation and policies, Housing JEL Code(s): E, E3, E32, E4, E44, E47, E6, E60, G, G2, G21, G23, G28
Are There Canada-U.S. Differences in SME Financing? Staff Working Paper 2008-41 Danny Leung, Césaire Meh, Yaz Terajima Previous surveys of Canadian and U.S. business owners suggest that access to financing in Canada may be more problematic than in the United States. Using the 2003 Survey of Small Business Financing in the United States and the 2004 Survey on Financing of Small and Medium Enterprises in Canada, this paper examines whether this perception can be better quantified. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial services JEL Code(s): C, C2, C21, G, G2, G21
High-Frequency Cross-Sectional Identification of Military News Shocks Staff Working Paper 2025-27 Francesco Amodeo, Edoardo Briganti We identify and quantify fiscal news shocks, compiling events (2001–2023) that altered the expected path of U.S. defense expenditure. For each event, we estimate market-implied shifts in expected spending. A shift-share analysis yields a two-year, metropolitan statistical area–level GDP multiplier of approximately 1 for U.S. military build-ups. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Fiscal policy JEL Code(s): E, E2, E20, E3, E30, E32, E6, E60, E62, E65
Total factor productivity growth projection for Canada: A sectoral approach Staff Analytical Note 2024-12 Dany Brouillette, Tessa Devakos, Raven Wheesk We propose a tool that decomposes TFP growth into sectoral contributions. The analysis incorporates three structural factors—digitalization, aging and climate change policies—and measures their contributions. Overall, we expect that aggregate TFP growth will slow down in the 2020s below both its historical average and the average from the 2010s. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Climate change, Digitalization, Labour markets, Productivity JEL Code(s): D, D2, D24, J, J1, J11, O, O3, O33, Q, Q5, Q54
June 22, 2011 Emerging from the Shadows: Market-Based Financing in Canada Financial System Review - June 2011 James Chapman, Lawrence L. Schembri, Stéphane Lavoie Content Type(s): Publications, Financial System Review articles
Modelling the Evolution of Credit Spreads in the United States Staff Working Paper 2004-45 Stuart Turnbull, Jun Yang The authors use Jarrow and Turnbull's (1995) reduced-form methodology to model the evolution of the term structure of interest rates in the United States for different credit classes and different industries. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets, Market structure and pricing JEL Code(s): G, G1, G12, G13