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2191 Results

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.

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.

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.

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.

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.
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