BoC-BoE Sovereign Default Database: What’s New in 2020? Staff Analytical Note 2020-13 David Beers, Elliot Jones, John Walsh The Boc–BoE database of sovereign debt defaults, published and updated annually by the Bank of Canada and the Bank of England, provides comprehensive estimates of stocks of government obligations in default. The 2020 edition includes a new section examining the scale of domestic arrears in 2018. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Debt management, Development economics, Financial stability, International financial markets JEL Code(s): F, F3, F34, G, G1, G10, G14, G15
BoC–BoE Sovereign Default Database: Methodology, Assumptions and Sources Technical Report No. 117 David Beers, Elliot Jones, John Walsh Until recently, few efforts have been made to systematically measure and aggregate the nominal value of the different types of sovereign government debt in default. To help fill this gap, the Bank of Canada (BoC) developed a comprehensive database of sovereign defaults that is posted on its website and updated in partnership with the Bank of England (BoE). Content Type(s): Staff research, Technical reports Research Topic(s): Debt management, Development economics, Financial institutions, International financial markets JEL Code(s): F, F3, F34, G, G1, G10, G14, G15
Trading for Bailouts Staff Working Paper 2020-23 Toni Ahnert, Caio Machado, Ana Elisa Pereira In times of high uncertainty, governments often implement interventions such as bailouts to financial institutions. To use public resources efficiently and to avoid major spillovers to the rest of the economy, policy-makers try to identify which institutions should receive assistance. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial institutions, Financial markets, Financial system regulation and policies, Lender of last resort JEL Code(s): D, D8, D83, G, G1, G12, G14, G18
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. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial institutions, Financial markets, Market structure and pricing JEL Code(s): G, G1, G14, G2, G20, L, L1
The Effect of Oil Price Shocks on Asset Markets: Evidence from Oil Inventory News Staff Working Paper 2020-8 Ron Alquist, Reinhard Ellwanger, Jianjian Jin We quantify the reaction of U.S. equity, bond futures, and exchange rate returns to oil price shocks driven by oil inventory news. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets, Recent economic and financial developments JEL Code(s): D, D8, D83, E, E4, E44, G, G1, G14, G15, Q, Q4, Q41, Q43
The BoC-BoE Sovereign Default Database: What’s New in 2019? Staff Working Paper 2019-39 David Beers, Patrisha de Leon-Manlagnit Until recently, few efforts have been made to systematically measure and aggregate the nominal value of the different types of sovereign government debt in default. To help fill this gap, the Bank of Canada (BoC) developed a comprehensive database of sovereign defaults that is posted on its website and updated in partnership with the Bank of England (BoE). Content Type(s): Staff research, Staff working papers Research Topic(s): Debt management, Development economics, Financial stability, International financial markets JEL Code(s): F, F3, F34, G, G1, G10, G14, G15
Using Exchange-Traded Funds to Measure Liquidity in the Canadian Corporate Bond Market Staff Analytical Note 2019-25 Rohan Arora, Guillaume Ouellet Leblanc, Jabir Sandhu, Jun Yang We introduce a new proxy for measuring corporate bond liquidity, using the price of exchange-traded funds (ETFs) that hold corporate bonds. It measures the average liquidity across 900 corporate bonds every day, many more than other proxies used in previous Bank of Canada analysis. The new proxy nonetheless paints a very similar picture of liquidity conditions and confirms the previous findings: the liquidity of bonds has generally improved since 2010. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Financial markets JEL Code(s): G, G1, G12, G14
Bond Funds and Fixed-Income Market Liquidity: A Stress-Testing Approach Technical Report No. 115 Rohan Arora, Guillaume Bédard-Pagé, Guillaume Ouellet Leblanc, Ryan Shotlander This report provides a detailed technical description of a stress test model for investment funds called Ceto. Content Type(s): Staff research, Technical reports Research Topic(s): Economic models, Financial institutions, Financial markets, Financial stability JEL Code(s): G, G1, G12, G14, G2, G20, G23
The Impact of Surprising Monetary Policy Announcements on Exchange Rate Volatility Staff Analytical Note 2018-39 Adam Albogatchiev, Jean-Sébastien Fontaine, Jabir Sandhu, Reginald Xie We identify a few Bank of Canada press releases that had the largest immediate impact on the exchange rate market. We find that volatility increases after these releases, but the effect is short-lived and mostly dissipates after the first hour, on average. Beyond the first hour, the size of the effect is similar to what we observe for other economic releases, such as those for inflation or economic growth data. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Exchange rates, Financial markets, Monetary policy JEL Code(s): E, E4, E44, F, F3, F31, G, G1, G10, G12, G14, G15
Markets Look Beyond the Headline Staff Analytical Note 2018-37 Bruno Feunou, James Kyeong, Raisa Leiderman Many reports and analyses interpret the release of new economic data based on the headline surprise—for instance, total inflation, real GDP growth and the unemployment rate. However, we find that headline news alone cannot adequately explain the responses of market prices to new information. Rather, market prices react more strongly, on average, to non-headline news such as the composition of GDP growth, quality of jobs created and revisions to past data. Thus, tracking the impact of non-headline information released on the news day is crucial in analyzing how markets interpret and react to new economic data. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Asset pricing, Exchange rates, Interest rates JEL Code(s): E, E4, E43, G, G1, G12, G14