C5 - Econometric Modeling

• The impact of trading flows on Government of Canada bond prices

  Staff Analytical Note 2025-20 Andreas Uthemann, Rishi Vala, Jun Yang

  Trading flows affect Government of Canada bond prices. Our estimates suggest a sale of 1% of the available supply of bonds typically lowers bond prices by 0.2%. From 2000 to 2025, demand from institutional investors, such as Canadian pension funds and foreign investors, explains 69% of quarterly price variation, with the remainder explained by changes in the supply of bonds.

  Content Type(s): Staff research, Staff analytical notes Research Topic(s): Asset pricing, Debt management, Econometric and statistical methods, Financial institutions, Financial markets, Financial stability, Market structure and pricing, Sectoral balance sheet JEL Code(s): C, C0, C01, C3, C36, C5, C58, D, D5, D53, E, E6, E62, G, G1, G11, G12, G2, G23

• Estimating the inflation risk premium

  Staff Analytical Note 2025-9 Bruno Feunou, Gitanjali Kumar

  Is there a risk of de-anchoring of inflation expectations in the near term? We estimate the inflation risk premium using traditional asset pricing models to answer this question. The risk of de-anchoring is elevated compared with the period before the COVID-19 pandemic and is higher in the United States than in Canada.

  Content Type(s): Staff research, Staff analytical notes Research Topic(s): Asset pricing, Econometric and statistical methods JEL Code(s): C, C2, C22, C5, C58, G, G1, G12

• Crisis facilities as a source of public information

  Staff Analytical Note 2025-7 Lerby Ergun

  During the COVID-19 financial market crisis, central banks introduced programs to support liquidity in important core funding markets. As well as acting as a backstop to market prices, these programs produce useful trading data on prevailing market conditions. When summary information from this data is shared publicly, it can help market participants understand current conditions and aid the recovery of market functioning.

  Content Type(s): Staff research, Staff analytical notes Research Topic(s): Financial institutions, Financial markets, Market structure and pricing JEL Code(s): C, C5, C58, D, D5, D53, D8, D83, G, G1, G12, G14

• Exploring the drivers of the real term premium in Canada

  Staff Analytical Note 2025-3 Zabi Tarshi, Gitanjali Kumar

  Changes in the term premium can reflect uncertainty about inflation, growth and monetary policy. Understanding the key factors that influence the term premium is important when central banks make decisions about monetary policy. In this paper, we derive the real term premium from the nominal term premium in Canada.

  Content Type(s): Staff research, Staff analytical notes Research Topic(s): Econometric and statistical methods, Financial markets, Interest rates, Monetary policy and uncertainty JEL Code(s): C, C5, C58, E, E4, E43, E47, G, G1, G12

• Quantile VARs and Macroeconomic Risk Forecasting

  Staff Working Paper 2025-4 Stéphane Surprenant

  This paper provides an extensive evaluation of the performance of quantile vector autoregression (QVAR) to forecast macroeconomic risk. Generally, QVAR outperforms standard benchmark models. Moreover, QVAR and QVAR augmented with factors perform equally well. Both are adequate for modeling macroeconomic risks.

  Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles JEL Code(s): C, C5, C53, C55, E, E3, E37

• CBDC in the Market for Payments at the Point of Sale: Equilibrium Impact and Incumbent Responses

  Staff Working Paper 2024-52 Walter Engert, Oleksandr Shcherbakov, André Stenzel

  We simulate introducing a central bank digital currency (CBDC) and consider consumer adoption, merchant acceptance and usage at the point of sale. Modest adoption frictions significantly inhibit CBDC market penetration along all three dimensions. Incumbent responses to restore pre-CBDC market shares are moderate to small and further reduce the impact of a CBDC.

  Content Type(s): Staff research, Staff working papers Research Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods, Financial services JEL Code(s): C, C5, C51, D, D1, D12, E, E4, E42, L, L1, L14, L5, L52

• Bouncing Back: How Mothballing Curbs Prices

  Staff Working Paper 2024-51 Thibaut Duprey, Artur Kotlicki, Daniel E. Rigobon, Philip Schnattinger

  We investigate the macroeconomic impacts of mothballed businesses—those that closed temporarily—on sectoral equilibrium prices after a negative demand shock. Our results suggest that pandemic fiscal support for temporary closures may have eased inflationary pressures.

  Content Type(s): Staff research, Staff working papers Research Topic(s): Central bank research, Firm dynamics, Fiscal policy, Inflation and prices JEL Code(s): C, C5, C55, C8, C81, D, D2, D22, E, E3, E32

• The impact of a central bank digital currency on payments at the point of sale

  Staff Analytical Note 2024-27 Walter Engert, Oleksandr Shcherbakov, André Stenzel

  We simulate the impact of a central bank digital currency (CBDC) on consumer adoption, merchant acceptance and use of different payment methods. Modest frictions that deter consumer adoption of a CBDC inhibit its market penetration. Minor pricing responses by financial institutions and payment service providers further reduce the impact of a CBDC.

  Content Type(s): Staff research, Staff analytical notes Research Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods, Financial services JEL Code(s): C, C5, C51, D, D1, D12, E, E4, E42, L, L1, L14, L5, L52

• Seasonal Adjustment of Weekly Data

  Staff Discussion Paper 2024-17 Jeffrey Mollins, Rachit Lumb

  The industry standard for seasonally adjusting data, X-13ARIMA-SEATS, is not suitable for high-frequency data. We summarize and assess several of the most popular seasonal adjustment methods for weekly data given the increased availability and promise of non-traditional data at higher frequencies.

  Content Type(s): Staff research, Staff discussion papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C4, C5, C52, C8, E, E0, E01, E2, E21

• Decision Synthesis in Monetary Policy

  Staff Working Paper 2024-30 Tony Chernis, Gary Koop, Emily Tallman, Mike West

  We use Bayesian predictive decision synthesis to formalize monetary policy decision-making. We develop a case-study of monetary policy decision-making of an inflation-targeting central bank using multiple models in a manner that considers decision goals, expectations and outcomes.

  Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Economic models, Monetary policy JEL Code(s): C, C1, C11, C3, C32, C5, C53