Econometric and statistical methods

• 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