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2192 Results

Production Networks and the Propagation of Commodity Price Shocks

Staff working paper 2020-44 Shutao Cao, Wei Dong
We examine the macro implications of commodity price shocks in a model with multiple production sectors that are interconnected within a commodity-exporting small open economy.

The Determinants of Consumers’ Inflation Expectations: Evidence from the US and Canada

Staff working paper 2020-52 Charles Bellemare, Rolande Kpekou Tossou, Kevin Moran
We compare the determinants of consumer inflation expectations in the US and Canada by analyzing two current surveys. We find that Canadian consumers rely more on professional forecasts and the history of actual inflation when forming their expectations, while US consumers rely more on their own lagged expectations.

On the Fragility of DeFi Lending

Staff working paper 2023-14 Jonathan Chiu, Emre Ozdenoren, Kathy Yuan, Shengxing Zhang
We develop a dynamic model to capture key features of decentralized finance lending. We identify a price-liquidity feedback: the market outcome in any given period depends on agents' expectations about lending activities in future periods, with higher future price expectations leading to more lending and higher prices in that period.

Privacy in CBDC technology

Staff analytical note 2020-9 Sriram Darbha, Rakesh Arora
Privacy is a key aspect of a potential central bank digital currency system. We outline different technical choices to enact various privacy models while complying with the appropriate regulations. We develop a framework to evaluate privacy models and list key risks and trade-offs in privacy design.

Measuring Limits of Arbitrage in Fixed-Income Markets

Staff working paper 2017-44 Jean-Sébastien Fontaine, Guillaume Nolin
We use relative value to measure limits to arbitrage in fixed-income markets. Relative value captures apparent deviations from no-arbitrage relationships. It is simple, intuitive and can be computed model-free for any bond.

Finding a Needle in a Haystack: A Machine Learning Framework for Anomaly Detection in Payment Systems

Staff working paper 2024-15 Ajit Desai, Anneke Kosse, Jacob Sharples
Our layered machine learning framework can enhance real-time transaction monitoring in high-value payment systems, which are a central piece of a country’s financial infrastructure. When tested on data from Canadian payment systems, it demonstrated potential for accurately identifying anomalous transactions. This framework could help improve cyber and operational resilience of payment systems.

Business Closures and (Re)Openings in Real Time Using Google Places

The COVID-19 pandemic highlighted the need for policy-makers to closely monitor disruptions to the retail and food business sectors. We present a new method to measure business opening and closing rates using real-time data from Google Places, the dataset behind the Google Maps service.

Starting from a Blank Page? Semantic Similarity in Central Bank Communication and Market Volatility

Staff working paper 2016-37 Michael Ehrmann, Jonathan Talmi
Press releases announcing and explaining monetary policy decisions play a critical role in the communication strategy of central banks. Because of their market-moving potential, it is particularly important how they are drafted. Often, central banks start from the previous statement and update the earlier text with only small changes.
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