August 15, 2013 Big Data Analysis: The Next Frontier Bank of Canada Review - Summer 2013 Nii Ayi Armah The formulation of monetary policy at the Bank of Canada relies on the analysis of a broad set of economic information. Greater availability of immediate and detailed information would improve real-time economic decision making. Technological advances have provided an opportunity to exploit “big data” - the vast amount of digital data from business transactions, social media and networked computers. Big data can be a complement to traditional information sources, offering fresh insight for the monitoring of economic activity and inflation. Content Type(s): Publications, Bank of Canada Review articles Research Topic(s): Econometric and statistical methods, Monetary and financial indicators JEL Code(s): C, C5, C53, C6, C63, C8, C80
June 23, 2005 On the Evolution of the Financial Safety Net Financial System Review - June 2005 Walter Engert Content Type(s): Publications, Financial System Review articles
Bootstrap Tests of Mean-Variance Efficiency with Multiple Portfolio Groupings Staff Working Paper 2014-51 Sermin Gungor, Richard Luger We propose double bootstrap methods to test the mean-variance efficiency hypothesis when multiple portfolio groupings of the test assets are considered jointly rather than individually. Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing, Econometric and statistical methods, Financial markets JEL Code(s): C, C1, C12, C14, C15, G, G1, G12
A Generalized Endogenous Grid Method for Default Risk Models Staff Working Paper 2021-11 Youngsoo Jang, Soyoung Lee Models with default options are hard to solve. We propose an extension of the endogenous grid method that solves default risk models more efficiently and accurately. Content Type(s): Staff research, Staff working papers Research Topic(s): Credit and credit aggregates, Credit risk management JEL Code(s): C, C6, C63, E, E3, E37
Payment Coordination and Liquidity Efficiency in the New Canadian Wholesale Payments System Staff Discussion Paper 2022-3 Francisco Rivadeneyra, Nellie Zhang We study the impact of the Bank of Canada’s choice of settlement mechanism in Lynx on participant behaviors, liquidity usage, payment delays and the overall operational efficiency of the new system. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Payment clearing and settlement systems JEL Code(s): C, C5, E, E4, E42, E5, E58
February 7, 2014 Flexible Inflation Targeting and “Good” and “Bad” Disinflation Remarks Tiff Macklem John Molson School of Business Concordia University Montréal, Quebec Senior Deputy Governor Tiff Macklem discusses flexible inflation targeting and “good” and “bad” disinflation. Content Type(s): Press, Speeches and appearances, Remarks
Money Talks: How Foreign and Domestic Monetary Policy Communications Move Financial Markets Staff Working Paper 2025-33 Rodrigo Sekkel, Henry Stern, Xu Zhang We construct a dataset on Federal Reserve and Bank of Canada non-rate announcement events to provide novel insights into how foreign and domestic monetary policy communications affect the financial markets of open economies. We find that Fed non-rate communications have a stronger impact on long-term interest rates and stock futures, while Bank of Canada communications are relatively more important for short-term interest rates and the exchange rate. Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing, Central bank research, Exchange rates, Financial markets, Interest rates, International financial markets, Monetary policy JEL Code(s): E, E5, E52, F, F3, F31, G, G1, G15
Do Survey Expectations of Stock Returns Reflect Risk Adjustments? Staff Working Paper 2019-11 Klaus Adam, Dmitry Matveev, Stefan Nagel Motivated by the observation that survey expectations of stock returns are inconsistent with rational return expectations under real-world probabilities, we investigate whether alternative expectations hypotheses entertained in the literature on asset pricing are consistent with the survey evidence. Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing, Economic models, Financial markets JEL Code(s): G, G1, G10, G12
Crowdfunding and Risk Staff Working Paper 2023-28 David Cimon Crowdfunding may enable unique products to reach the consumer market. I model a crowdfunding technology that publicly screens consumer demand early in the production process. In this model, entrepreneurs like crowdfunding for risky projects where demand is uncertain, but not for large, safe projects or for projects where production costs are uncertain. Content Type(s): Staff research, Staff working papers Research Topic(s): Digital currencies and fintech, Financial markets, Financial services JEL Code(s): G, G2, G21, G24, G3, G32
Identifying Nascent High-Growth Firms Using Machine Learning Staff Working Paper 2023-53 Stéphanie Houle, Ryan Macdonald Firms that grow rapidly have the potential to usher in new innovations, products or processes (Kogan et al. 2017), become superstar firms (Haltiwanger et al. 2013) and impact the aggregate labour share (Autor et al. 2020; De Loecker et al. 2020). We explore the use of supervised machine learning techniques to identify a population of nascent high-growth firms using Canadian administrative firm-level data. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Firm dynamics JEL Code(s): C, C5, C55, C8, C81, L, L2, L25