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
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
Comparison of Bayesian and Sample Theory Parametric and Semiparametric Binary Response Models Staff Working Paper 2022-31 Xiangjin Shen, Iskander Karibzhanov, Hiroki Tsurumi, Shiliang Li We use graphic processing unit computing to compare Bayesian and sample theory semiparametric binary response models. Our findings show that optimal bandwidth does not outperform regular bandwidth in binary semiparametric models. Content Type(s): Staff research, Staff working papers Topic(s): Credit risk management, Econometric and statistical methods JEL Code(s): C, C1, C14, C3, C35, C5, C51, C6, C63, D, D1
Quantifying the Economic Benefits of Payments Modernization: the Case of the Large-Value Payment System Staff Working Paper 2021-64 Neville Arjani, Fuchun Li, Zhentong Lu Canada is undertaking a major initiative to modernize its payments ecosystem. The modernized ecosystem is expected to bring significant benefits to Canadian financial markets and the overall economy. We develop an empirical framework to quantify the economic benefits of modernizing the payment system in Canada. Content Type(s): Staff research, Staff working papers Topic(s): Financial institutions, Financial system regulation and policies, Payment clearing and settlement systems JEL Code(s): C, C3, E, E4, E42, G, G1, G2, G28
Rising US LNG Exports and Global Natural Gas Price Convergence Staff Discussion Paper 2021-14 Robert Ialenti We assess how rising exports of US liquefied natural gas affect the convergence of natural gas prices worldwide. Our results may have implications for the development of future LNG export capacity in Canada. Content Type(s): Staff research, Staff discussion papers Topic(s): International topics, Market structure and pricing JEL Code(s): C, C3, C32, F, F1, F15, K, K4, K41, L, L9, L95
Household financial vulnerabilities and physical climate risks Staff Analytical Note 2021-19 Thibaut Duprey, Colin Jones, Callie Symmers, Geneviève Vallée Natural disasters occur more often than before, potentially exposing households to financial distress. We study the intersection between household financial vulnerabilities and severe weather events. Content Type(s): Staff research, Staff analytical notes Topic(s): Climate change, Credit and credit aggregates, Financial stability, Housing, Recent economic and financial developments JEL Code(s): C, C2, C21, C3, C38, D, D1, D14, Q, Q5, Q54
Shaping the future: Policy shocks and the GDP growth distribution Staff Working Paper 2021-24 Francois-Michel Boire, Thibaut Duprey, Alexander Ueberfeldt Can central bank and government policies impact the risks around the outlook for GDP growth? We find that fiscal stimulus makes strong GDP growth more likely—even more so when monetary policy is constrained—rather than weak GDP growth less likely. Thus, fiscal stimulus should accelerate the recovery phase of the COVID-19 pandemic. Content Type(s): Staff research, Staff working papers Topic(s): Central bank research, Econometric and statistical methods, Financial stability, Fiscal policy, Monetary policy JEL Code(s): C, C3, C32, C5, C53, E, E5, E52, E6, E62
Losing Contact: The Impact of Contactless Payments on Cash Usage Staff Working Paper 2020-56 Marie-Hélène Felt Contactless payment cards are a competitive alternative to cash. Using Canadian panel data from 2010 to 2017, this study investigates whether contactless credit cards are an important contributor to the decline in the transactional use of cash. Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods, Financial services JEL Code(s): C, C3, C33, D, D1, D12, E, E4, E41
The Determinants of Consumers’ Inflation Expectations: Evidence from the US and Canada Staff Working Paper 2020-52 Charles Bellemare, Rolande Kpekou Tossou, Kevin Moran We compare the determinants of consumer inflation expectations in the US and Canada by analyzing two current surveys. We find that Canadian consumers rely more on professional forecasts and the history of actual inflation when forming their expectations, while US consumers rely more on their own lagged expectations. Content Type(s): Staff research, Staff working papers Topic(s): Central bank research, Econometric and statistical methods, Inflation and prices, Inflation targets JEL Code(s): C, C3, C33, D, D8, D83, D84, E, E3, E31