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1570 Results

Predictive Density Combination Using a Tree-Based Synthesis Function

This paper studies non-parametric combinations of density forecasts. We introduce a regression tree-based approach that allows combination weights to vary on the features of the densities, time-trends or economic indicators. In two empirical applications, we show the benefits of this approach in terms of improved forecast accuracy and interpretability.

Transmission of Cyber Risk Through the Canadian Wholesale Payment System

Staff working paper 2022-23 Anneke Kosse, Zhentong Lu
This paper studies how the impact of a cyber attack that paralyzes one or multiple banks' ability to send payments would transmit to other banks through the Canadian wholesale payment system. Based on historical payment data, we simulate a wide range of scenarios and evaluate the total payment disruption in the system.

Macroeconomic Predictions Using Payments Data and Machine Learning

Staff working paper 2022-10 James Chapman, Ajit Desai
We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges.

Chinese Monetary Policy and Text Analytics: Connecting Words and Deeds

Staff working paper 2021-3 Jeannine Bailliu, Xinfen Han, Barbara Sadaba, Mark Kruger
What are the main drivers behind the monetary policy reaction function of the People’s Bank of China?

The Central Bank’s Dilemma: Look Through Supply Shocks or Control Inflation Expectations?

Staff working paper 2022-41 Paul Beaudry, Thomas J. Carter, Amartya Lahiri
When countries are hit by supply shocks, central banks often face the dilemma of either looking through such shocks or reacting to them to ensure that inflation expectations remain anchored. In this paper, we propose a tractable framework to capture this dilemma and then explore optimal policy under a range of assumptions about how expectations are formed.
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