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
What Can Earnings Calls Tell Us About the Output Gap and Inflation in Canada? Staff Discussion Paper 2023-13 Marc-André Gosselin, Temel Taskin We construct new indicators of demand and supply for the Canadian economy by using natural language processing techniques to analyze earnings calls of publicly listed firms. Our results indicate that the new indicators could help central banks identify inflationary pressures in real time. Content Type(s): Staff research, Staff discussion papers Topic(s): Central bank research, Domestic demand and components, Econometric and statistical methods, Inflation and prices, Potential output JEL Code(s): C, C1, C3, E, E3, E5
Benchmarks for assessing labour market health: 2023 update Staff Analytical Note 2023-7 Erik Ens, Kurt See, Corinne Luu We enhance benchmarks for assessing strength in the Canadian labour market. We find the labour market remains tight despite recent strong increases in labour supply, including among prime-working-age women. We also assess the anticipated easing in labour conditions in a context of high population growth. Content Type(s): Staff research, Staff analytical notes Topic(s): Business fluctuations and cycles, Coronavirus disease (COVID-19), Econometric and statistical methods, Labour markets, Monetary policy JEL Code(s): E, E2, E24, J, J2, J21, J6
Turning Words into Numbers: Measuring News Media Coverage of Shortages Staff Discussion Paper 2023-8 Lin Chen, Stephanie Houle We develop high-frequency, news-based indicators using natural language processing methods to analyze news media texts. Our indicators track both supply (raw, intermediate and final goods) and labour shortages over time. They also provide weekly time-varying topic narratives about various types of shortages. Content Type(s): Staff research, Staff discussion papers Topic(s): Coronavirus disease (COVID-19), Econometric and statistical methods, Monetary policy and uncertainty, Recent economic and financial developments JEL Code(s): C, C5, C55, C8, C82, E, E3, E37
Supply Drivers of US Inflation Since the COVID-19 Pandemic Staff Working Paper 2023-19 Serdar Kabaca, Kerem Tuzcuoglu This paper examines the contribution of several supply factors to US headline inflation since the start of the COVID-19 pandemic. We identify six supply shocks using a structural VAR model: labor supply, labor productivity, global supply chain, oil price, price mark-up and wage mark-up shocks. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Inflation and prices JEL Code(s): C, C3, C32, E, E3, E31, E32
Cost Pass-Through with Capacity Constraints and International Linkages Staff Working Paper 2023-16 Reinhard Ellwanger, Hinnerk Gnutzmann, Piotr Śpiewanowski How are regional cost shocks passed through into global prices? We investigate the role of short-run capacity constraints and show that they can induce stark non-linearities in the pass-through. We highlight this effect for the market for ammonia, a commodity produced largely from natural gas. Content Type(s): Staff research, Staff working papers Topic(s): Climate change, Econometric and statistical methods, Inflation and prices, International topics JEL Code(s): L, L1, L13, L6, L65, Q, Q4, Q40, Q5, Q54
We Didn’t Start the Fire: Effects of a Natural Disaster on Consumers’ Financial Distress Staff Working Paper 2023-15 Anson T. Y. Ho, Kim Huynh, David T. Jacho-Chávez, Geneviève Vallée We use detailed consumer credit data to investigate the impact of the 2016 Fort McMurray wildfire, the costliest wildfire disaster in Canadian history, on consumers’ financial stress. We focus on the arrears of insured mortgages because of their important implications for financial institutions and insurers’ business risk and relevant management practices. Content Type(s): Staff research, Staff working papers Topic(s): Climate change, Credit and credit aggregates, Econometric and statistical methods, Financial stability JEL Code(s): C, C2, C21, D, D1, D12, G, G2, G21, Q, Q5, Q54
Exporting and Investment Under Credit Constraints Staff Working Paper 2023-10 Kim Huynh, Robert Petrunia, Joel Rodrigue, Walter Steingress We examine the relationship between firms’ performance and credit constraints affecting export market entry. Using administrative Canadian firm-level data, our findings show that new exporters (a) increase their productivity, (b) raise their leverage ratio and (c) increase investment. We estimate that 48 percent of Canadian manufacturers face binding credit constraints when deciding whether to enter export markets. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Firm dynamics, International topics, Productivity JEL Code(s): F, F1, F10, F14, F3, F36, G, G2, G20, G28, G3, G32
Risk Amplification Macro Model (RAMM) Technical Report No. 123 Kerem Tuzcuoglu The Risk Amplification Macro Model (RAMM) is a new nonlinear two-country dynamic model that captures rare but severe adverse shocks. The RAMM can be used to assess the financial stability implications of both domestic and foreign-originated risk scenarios. Content Type(s): Staff research, Technical reports Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Financial stability, Monetary policy transmission JEL Code(s): C, C5, C51, E, E3, E37, E4, E44, F, F4, F44