Do Oil Price Increases Cause Higher Food Prices? Staff Working Paper 2013-52 Christiane Baumeister, Lutz Kilian U.S. retail food price increases in recent years may seem large in nominal terms, but after adjusting for inflation have been quite modest even after the change in U.S. biofuel policies in 2006. In contrast, increases in the real prices of corn, soybeans, wheat and rice received by U.S. farmers have been more substantial and can be linked in part to increases in the real price of oil. Content Type(s): Staff research, Staff working papers Research Topic(s): Inflation and prices, International topics JEL Code(s): E, E3, E31, Q, Q1, Q11, Q4, Q42, Q43
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
Climate Variability and International Trade Staff Working Paper 2023-8 Geoffrey R. Dunbar, Walter Steingress, Ben Tomlin This paper quantifies the impact of hurricanes on seaborne international trade to the United States. Matching the timing of hurricane–trade route intersections with monthly U.S. port-level trade data, we isolate the unanticipated effects of a hurricane hitting a trade route using two separate identification schemes: an event study and a local projection. Content Type(s): Staff research, Staff working papers Research Topic(s): Climate change, International topics JEL Code(s): C, C2, C22, C5, F, F1, F14, F18, Q, Q5, Q54
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
What cured the TSX Equity index after COVID-19? Staff Analytical Note 2021-3 Guillaume Ouellet Leblanc, Jean-Sébastien Fontaine, Ryan Shotlander The TSX index rose by 9.5 percent in November 2020, adding large gains to an already sharp V-shaped recovery. The economic outlook improved at that time as well. We ask whether the stock market gains since last autumn are due to improving forecasts of firms’ earnings. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Asset pricing, Coronavirus disease (COVID-19), Financial markets JEL Code(s): G, G1, G12, G14
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
What do high-frequency expenditure network data reveal about spending and inflation during COVID‑19? Staff Analytical Note 2020-20 Kim Huynh, Helen Lao, Patrick Sabourin, Angelika Welte The official consumer price index (CPI) inflation measure, based on a fixed basket set before the COVID 19 pandemic, may not fully reflect what consumers are currently experiencing. We partnered with Statistics Canada to construct a more representative index for the pandemic with weights based on real-time transaction and survey data. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Inflation and prices, Payment clearing and settlement systems JEL Code(s): D, D1, D12, E, E3, E31, E4, E42, E5, E52
Canadian Financial Stress and Macroeconomic Conditions Staff Discussion Paper 2020-4 Thibaut Duprey Severe disruptions in the financial markets, as observed during the 2008 global financial crisis or the COVID-19 pandemic, can impair the stability of the entire financial system and worsen macroeconomic downturns. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Central bank research, Coronavirus disease (COVID-19), Financial markets, Financial stability, Monetary and financial indicators JEL Code(s): C, C3, C32, E, E4, E44, G, G0, G01
The Relative Benefits and Risks of Stablecoins as a Means of Payment: A Case Study Perspective Staff Discussion Paper 2022-21 Annetta Ho, Sriram Darbha, Yuliya Gorelkina, Alejandro García Our paper contributes to the discussion about the utility of stablecoins for retail payments through an objective, evidence-based approach that compares stablecoins with traditional retail payment methods. The paper also provides insights that could be useful in the design of central bank digital currencies. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Digital currencies and fintech, Payment clearing and settlement systems JEL Code(s): D, D7, D78, O, O3, O38
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 Research 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