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
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
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
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
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
The potential effect of a central bank digital currency on deposit funding in Canada Staff Analytical Note 2020-15 Alejandro García, Bena Lands, Xuezhi Liu, Joshua Slive A retail central bank digital currency denominated in Canadian dollars could, in theory, create competition for bank deposit funding. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Digital currencies and fintech, Financial institutions, Financial stability JEL Code(s): E, E4, E41, E44, E5, G, G1, G10, G17, G2, G21, G3, G32, O
Detecting Scapegoat Effects in the Relationship Between Exchange Rates and Macroeconomic Fundamentals Staff Working Paper 2017-22 Lorenzo Pozzi, Barbara Sadaba This paper presents a new testing method for the scapegoat model of exchange rates that aims to tighten the link between the theory on scapegoats and its empirical implementation. This new testing method consists of a number of steps. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Exchange rates, International financial markets JEL Code(s): C, C3, C32, F, F3, F31, G, G1, G15
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
Limits to Arbitrage and Deviations from Covered Interest Rate Parity Staff Discussion Paper 2016-4 James Pinnington, Maral Shamloo We document an increase in deviations from short-term covered interest rate parity (CIP) in the first half of 2015. Since the Swiss National Bank’s (SNB) decision to abandon its minimum exchange rate policy, both the magnitude and volatility of deviations from CIP have increased across several currency pairs. The effect is particularly pronounced for pairs involving the Swiss franc. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Exchange rates, International financial markets JEL Code(s): F, F3, F31, G, G1, G15
Adverse Selection with Heterogeneously Informed Agents Staff Working Paper 2018-7 Mohammad Davoodalhosseini A model of over-the-counter markets is proposed. Some asset buyers are informed in that they can identify high quality assets. Heterogeneous sellers with private information choose what type of buyers they want to trade with. Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Financial markets, Financial stability, Financial system regulation and policies, Market structure and pricing JEL Code(s): D, D4, D40, D8, D82, D83, G, G0, G01, G1, G10, G2, G20