C5 - Econometric Modeling

• 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 Topic(s): Econometric and statistical methods, Interest rates, Monetary policy implementation JEL Code(s): C, C1, C18, C2, C21, C5, C53, E, E4, E43, E44, E5, E52

• Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19

  Staff Working Paper 2021-2 James Chapman, Ajit Desai

  We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. We find this approach yields a significant increase in forecasting precision over a linear benchmark model. This model can help policy-makers before official data are released.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Payment clearing and settlement systems JEL Code(s): C, C5, C53, C55, E, E3, E37, E4, E42, E5, E52

• Strategic Uncertainty in Financial Markets: Evidence from a Consensus Pricing Service

  Staff Working Paper 2020-55 Lerby Ergun, Andreas Uthemann

  We look at the informational content of consensus pricing in opaque over-the-counter markets. We show that the availability of price data informs participants mainly about other participants’ valuations, rather than about the value of a financial security.

  Content Type(s): Staff research, Staff working papers 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

• On Causal Networks of Financial Firms: Structural Identification via Non-parametric Heteroskedasticity

  Staff Working Paper 2020-42 Ruben Hipp

  Various business interactions of banks create a network of hidden relationships, which cannot be directly inferred from the correlation of bank stock returns. Without causality, it remains unclear how policy interventions change the network. Thus, this paper aims to find the causal network as anticipated by investors.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial markets, Financial stability JEL Code(s): C, C1, C3, C32, C5, C58, L, L1, L14

• The New Benchmark for Forecasts of the Real Price of Crude Oil

  Staff Working Paper 2020-39 Amor Aniss Benmoussa, Reinhard Ellwanger, Stephen Snudden

  How can we assess the quality of a forecast? We propose a new benchmark to evaluate forecasts of temporally aggregated series and show that the real price of oil is more difficult to predict than we thought.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C1, C5, C53, Q, Q4, Q47

• Liquidity Usage and Payment Delay Estimates of the New Canadian High Value Payments System

  Staff Discussion Paper 2020-9 Francisco Rivadeneyra, Nellie Zhang

  As part of modernizing its core payments infrastructure, Canada will replace the Large Value Transfer System (LVTS) with a new Real-Time Gross Settlement (RTGS) system called Lynx. An important question for policy-makers is how Lynx should be designed.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Financial services, Financial system regulation and policies, Payment clearing and settlement systems JEL Code(s): C, C5, E, E4, E42, E5, E58

• Survival Analysis of Bank Note Circulation: Fitness, Network Structure and Machine Learning

  Staff Working Paper 2020-33 Diego Rojas, Juan Estrada, Kim Huynh, David T. Jacho-Chávez

  Using the Bank of Canada's Currency Information Management Strategy, we analyze the network structure traced by a bank note’s travel in circulation and find that the denomination of the bank note is important in our potential understanding of the demand and use of cash.

  Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Econometric and statistical methods, Payment clearing and settlement systems JEL Code(s): C, C5, C52, C6, C65, C8, C81, E, E4, E42, E5, E51

• Demand for Payment Services and Consumer Welfare: The Introduction of a Central Bank Digital Currency

  Staff Working Paper 2020-7 Kim Huynh, Jozsef Molnar, Oleksandr Shcherbakov, Qinghui Yu

  Using a two-stage model, we study the determinants of Canadian consumers’ choices of payment method at the point of sale. We estimate consumer preferences and adoption costs for various combinations of payment methods. We analyze how introducing a central bank digital currency would affect the market equilibrium.

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

• Monetary Payoff and Utility Function in Adaptive Learning Models

  Staff Working Paper 2019-50 Erhao Xie

  When players repeatedly face an identical or similar game (e.g., coordination game, technology adoption game, or product choice game), they may learn through experience to perform better in the future. This learning behaviour has important economic implications.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Economic models JEL Code(s): C, C5, C57, C7, C72, C9, C92

• Technological Progress and Monetary Policy: Managing the Fourth Industrial Revolution

  Staff Discussion Paper 2019-11 Stephen S. Poloz

  This paper looks at the implications for monetary policy of the widespread adoption of artificial intelligence and machine learning, which is sometimes called the “fourth industrial revolution.”

  Content Type(s): Staff research, Staff discussion papers Topic(s): Economic models, Financial stability, Monetary policy and uncertainty, Monetary policy framework JEL Code(s): C, C5, E, E3, O, O1, O11, O3, O33