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3035 Results

Labor Market Shocks and Monetary Policy

Staff Working Paper 2023-52 Serdar Birinci, Fatih Karahan, Yusuf Mercan, Kurt See
We develop a heterogeneous-agent New Keynesian model featuring a frictional labor market with on-the-job search to quantitatively study the positive and normative implications of employer-to-employer transitions for inflation.

Corporate Governance, Product Market Competition and Debt Financing

Staff Working Paper 2014-5 Teodora Paligorova, Jun Yang
This paper examines the impact of product market competition and corporate governance on the cost of debt financing and the use of bond covenants. We find that more anti-takeover provisions are associated with a lower cost of debt only in competitive industries.
Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets JEL Code(s): G, G1, G12, G3, G34

Debt-Relief Programs and Money Left on the Table: Evidence from Canada's Response to COVID-19

Staff Working Paper 2021-13 Jason Allen, Robert Clark, Shaoteng Li, Nicolas Vincent
During the COVID-19 pandemic, Canadian financial institutions offered debt-relief programs to help borrowers cope with job losses and economic insecurity. We consider the low take-up rates for these programs and suggest that to be effective, such programs must be visible and easy to use.
February 15, 2018

Anchoring Expectations: Canada’s Approach to Price Stability

Remarks Lawrence L. Schembri Manitoba Association for Business Economists Winnipeg, Manitoba
Deputy Governor Lawrence Schembri examines the success of the Bank’s monetary policy framework and explains the review being undertaken before its renewal in 2021.

Trading on Long-term Information

Staff Working Paper 2020-20 Corey Garriott, Ryan Riordan
Investors who trade based on good research are said to be the backbone of stock markets: They conduct research to discover the value of stocks and, through their trading, guide financial prices to reflect true value. What can make their job difficult is that high-speed, short-term traders could use machine learning and other technologies to infer when informed investors are trading.
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