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2191 Results

How Banks Create Gridlock to Save Liquidity in Canada's Large Value Payment System

Staff working paper 2023-26 Rodney J. Garratt, Zhentong Lu, Phoebe Tian
We show how participants in Canada’s new high-value payment system save liquidity by exploiting the new gridlock resolution arrangement. The findings have important implications for the design of these systems and shed light on financial institutions’ liquidity preference.

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.

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.

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.

A General Approach to Recovering Market Expectations from Futures Prices with an Application to Crude Oil

Staff working paper 2016-18 Christiane Baumeister, Lutz Kilian
Futures markets are a potentially valuable source of information about price expectations. Exploiting this information has proved difficult in practice, because time-varying risk premia often render the futures price a poor measure of the market expectation of the price of the underlying asset.

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.

Inference in Games Without Nash Equilibrium: An Application to Restaurants’ Competition in Opening Hours

Staff working paper 2018-60 Erhao Xie
This paper relaxes the Bayesian Nash equilibrium (BNE) assumption commonly imposed in empirical discrete choice games with incomplete information. Instead of assuming that players have unbiased/correct expectations, my model treats a player’s belief about the behavior of other players as an unrestricted unknown function. I study the joint identification of belief and payoff functions.
September 6, 2018

An Update on Canada’s Economic Resilience

Remarks Carolyn A. Wilkins Saskatchewan Trade & Export Partnership Regina, Saskatchewan
Senior Deputy Governor Wilkins discusses economic developments since the July Monetary Policy Report and Governing Council’s deliberations leading to yesterday’s policy rate decision.

Cyber Risk and Security Investment

Staff working paper 2022-32 Toni Ahnert, Michael Brolley, David Cimon, Ryan Riordan
We develop a principal-agent model of cyber-attacking with fee-paying clients who delegate security decisions to financial platforms. We derive testable implications about clients’ vulnerability to cyber attacks and about the fees charged.
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