C5 - Econometric Modeling
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Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19
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. -
Strategic Uncertainty in Financial Markets: Evidence from a Consensus Pricing Service
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. -
On Causal Networks of Financial Firms: Structural Identification via Non-parametric Heteroskedasticity
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. -
The New Benchmark for Forecasts of the Real Price of Crude Oil
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. -
Liquidity Usage and Payment Delay Estimates of the New Canadian High Value Payments System
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. -
Survival Analysis of Bank Note Circulation: Fitness, Network Structure and Machine Learning
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. -
Demand for Payment Services and Consumer Welfare: The Introduction of a Central Bank Digital Currency
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. -
Monetary Payoff and Utility Function in Adaptive Learning Models
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. -
Technological Progress and Monetary Policy: Managing the Fourth Industrial Revolution
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.”