Intermediary Market Power and Capital Constraints Staff Working Paper 2023-51 Jason Allen, Milena Wittwer We examine how intermediary capitalization affects asset prices in a framework that allows for intermediary market power. We introduce a model in which capital-constrained intermediaries buy or trade an asset in an imperfectly competitive market, and we show that weaker capital constraints lead to both higher prices and intermediary markups. Content Type(s): Staff research, Staff working papers Topic(s): Financial institutions, Market structure and pricing JEL Code(s): D, D4, D40, D44, G, G1, G12, G18, G2, G20, L, L1, L10
Forecasting Risks to the Canadian Economic Outlook at a Daily Frequency Staff Discussion Paper 2023-19 Chinara Azizova, Bruno Feunou, James Kyeong This paper quantifies tail risks in the outlooks for Canadian inflation and real GDP growth by estimating their conditional distributions at a daily frequency. We show that the tail risk probabilities derived from the conditional distributions accurately reflect realized outcomes during the sample period from 2002 to 2022. Content Type(s): Staff research, Staff discussion papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C3, C32, C5, C58, E, E4, E44, G, G1, G17
Generalized Autoregressive Gamma Processes Staff Working Paper 2023-40 Bruno Feunou We introduce generalized autoregressive gamma (GARG) processes, a class of autoregressive and moving-average processes in which each conditional moment dynamic is driven by a different and identifiable moving average of the variable of interest. We show that using GARG processes reduces pricing errors by substantially more than using existing autoregressive gamma processes does. Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Econometric and statistical methods JEL Code(s): C, C5, C58, G, G1, G12
Do hedge funds support liquidity in the Government of Canada bond market? Staff Analytical Note 2023-11 Jabir Sandhu, Rishi Vala While Government of Canada bond transactions of hedge funds are typically in the opposite direction to those of other market participants, during the peak period of market turmoil in March 2020, hedge funds sold these bonds, just as other market participants did. This shows that hedge funds can at times contribute to one-sided markets and amplify declines in market liquidity. Content Type(s): Staff research, Staff analytical notes Topic(s): Coronavirus disease (COVID-19), Financial markets, Financial stability, Market structure and pricing JEL Code(s): D, D4, D47, D5, D53, G, G1, G12, G14, G2, G23
BoC–BoE Sovereign Default Database: What’s new in 2023? Staff Analytical Note 2023-10 David Beers, Obiageri Ndukwe, Karim McDaniels, Alex Charron The BoC–BoE database of sovereign debt defaults, published and updated annually by the Bank of Canada and the Bank of England, provides comprehensive estimates of stocks of government obligations in default. The 2023 edition includes a new section about the characteristics of sovereign defaults and provides new visuals showing regional debt in default. Content Type(s): Staff research, Staff analytical notes Topic(s): Debt management, Development economics, Financial stability, International financial markets JEL Code(s): F, F3, F34, G, G1, G10, G14, G15
BoC–BoE Sovereign Default Database: Appendix and References Technical Report No. 125 David Beers, Obiageri Ndukwe, Alex Charron Since 2014, the Bank of Canada (BoC) has maintained a comprehensive database of sovereign defaults to systematically measure and aggregate the nominal value of the different types of sovereign government debt in default. The database is posted on the BoC’s website and is updated annually in partnership with the Bank of England (BoE). Content Type(s): Staff research, Technical reports Topic(s): Debt management, Development economics, Financial stability, International financial markets JEL Code(s): F, F3, F34, G, G1, G10, G14, G15
BoC–BoE Sovereign Default Database: Methodology and Assumptions Technical Report No. 124 David Beers, Obiageri Ndukwe, Alex Charron The Bank of Canada (BoC), in partnership with the Bank of England (BoE), developed a comprehensive database of sovereign defaults in 2014. The database is posted on the Bank of Canada’s website and updated annually. The BoC–BoE database draws on datasets published by various public and private sector sources. It combines elements of these, together with new information, to develop comprehensive estimates of stocks of government obligations in default. Content Type(s): Staff research, Technical reports Topic(s): Debt management, Development economics, Financial stability, International financial markets JEL Code(s): F, F3, F34, G, G1, G10, G14, G15
Is Climate Transition Risk Priced into Corporate Credit Risk? Evidence from Credit Default Swaps Staff Working Paper 2023-38 Andrea Ugolini, Juan C. Reboredo, Javier Ojea Ferreiro We study whether the credit derivatives of firms reflect the risk from climate transition. We find that climate transition risk has asymmetric and significant economic impacts on the credit risk of more vulnerable firms, and negligible effects on other firms. Content Type(s): Staff research, Staff working papers Topic(s): Climate change, Credit risk management, Econometric and statistical methods JEL Code(s): C, C2, C24, G, G1, G12, G3, G32, Q, Q5, Q54
Global Demand and Supply Sentiment: Evidence from Earnings Calls Staff Working Paper 2023-37 Temel Taskin, Franz Ulrich Ruch This paper quantifies global demand, supply and uncertainty shocks and compares two major global recessions: the 2008–09 Great Recession and the COVID-19 pandemic. We use two alternate approaches to decompose economic shocks: text mining techniques on earnings calls transcripts and a structural Bayesian vector autoregression model. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Coronavirus disease (COVID-19), Econometric and statistical methods, Inflation and prices, International topics JEL Code(s): C, C1, C11, C3, C32, E, E3, E32, G, G1, G10
Estimating the Slope of the Demand Function at Auctions for Government of Canada Bonds Staff Discussion Paper 2023-12 Bo Young Chang We use bid data from Government of Canada bond auctions between 1999 and 2021 to gauge the yield sensitivity of these bonds to the issuance amount. Our new metric estimates the demand function of the bidders at each auction and offers insights into the relationship between supply and yield of government bonds. Content Type(s): Staff research, Staff discussion papers Topic(s): Debt management, Interest rates JEL Code(s): D, D4, D44, G, G1, G12