2017 Methods-of-Payment Survey: Sample Calibration and Variance Estimation Technical report No. 114 Heng Chen, Marie-Hélène Felt, Christopher Henry This technical report describes sampling, weighting and variance estimation for the Bank of Canada’s 2017 Methods-of-Payment Survey. Under quota sampling, a raking ratio method is implemented to generate weights with both post-stratification and nonparametric nonresponse weight adjustments. Content Type(s): Staff research, Technical reports JEL Code(s): C, C8, C81, C83 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Retail payments
November 23, 2011 Renewing Canada’s Monetary Policy Framework Remarks Mark Carney Board of Trade of Metropolitan Montreal Montréal, Quebec Governor Mark Carney discusses the key elements of Canada’s inflation-targeting regime. Content Type(s): Press, Speeches and appearances, Remarks
May 15, 2014 Double Coincidence of Needs: Pension Funds and Financial Stability Remarks Lawrence L. Schembri Pension Investment Association of Canada Québec, Québec Deputy Governor Lawrence Schembri discusses pension funds and financial stability. Content Type(s): Press, Speeches and appearances, Remarks
A Reference Guide for the Business Outlook Survey Staff discussion paper 2020-15 David Amirault, Naveen Rai, Laurent Martin The Business Outlook Survey (BOS) has become an important part of monetary policy deliberations at the Bank of Canada and is also well known in Canadian policy and financial circles. This paper compiles more than 20 years of experience conducting the BOS and serves as a comprehensive reference manual. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C8, C83, D, D2, D22, E, E3, E32 Research Theme(s): Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
Time-Varying Crash Risk: The Role of Stock Market Liquidity Staff working paper 2016-35 Peter Christoffersen, Bruno Feunou, Yoontae Jeon, Chayawat Ornthanalai We estimate a continuous-time model with stochastic volatility and dynamic crash probability for the S&P 500 index and find that market illiquidity dominates other factors in explaining the stock market crash risk. While the crash probability is time-varying, its dynamic depends only weakly on return variance once we include market illiquidity as an economic variable in the model. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G0, G01, G1, G12 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods
Networking the Yield Curve: Implications for Monetary Policy Staff working paper 2021-4 Tatjana Dahlhaus, Julia Schaumburg, Tatevik Sekhposyan We study how different monetary policies affect the yield curve and interact. Our study highlights the importance of the spillover structure across the yield curve for policy-making. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C18, C2, C21, C5, C53, E, E4, E43, E44, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation
Anticipated Technology Shocks: A Re‐Evaluation Using Cointegrated Technologies Staff working paper 2017-11 Joel Wagner Two approaches have been taken in the literature to evaluate the relative importance of news shocks as a source of business cycle volatility. The first is an empirical approach that performs a structural vector autoregression to assess the relative importance of news shocks, while the second is a structural-model-based approach. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E3, E32 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting, Structural challenges, Digitalization and productivity
Tail Index Estimation: Quantile-Driven Threshold Selection Staff working paper 2019-28 Jon Danielsson, Lerby Ergun, Casper G. de Vries, Laurens de Haan The most extreme events, such as economic crises, are rare but often have a great impact. It is difficult to precisely determine the likelihood of such events because the sample is small. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C0, C01, C1, C14, C5, C58 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods
December 9, 2010 Central Counterparties and Systemic Risk Financial System Review - December 2010 Eric Tuer, Nicholas Labelle, Nikil Chande Content Type(s): Publications, Financial System Review articles
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 JEL Code(s): G, G1, G14, G2, G20, L, L1 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Financial system, Financial institutions and intermediation