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9377 Results

Understanding DeFi Through the Lens of a Production-Network Model

Staff Working Paper 2023-42 Jonathan Chiu, Thorsten Koeppl, Hanna Yu, Shengxing Zhang
We develop a production-network model to capture how decentralized finance (DeFi) has evolved across different sectors of financial services. The model allows us to measure the value added by different DeFi sectors and to study how the connections across the sectors influence token prices.

Digitalization: Implications for Monetary Policy

We explore the implications of digitalization for monetary policy, both in terms of how monetary policy affects the economy and in terms of data analysis and communication with the public.

Digitalization: Labour Markets

Staff Discussion Paper 2023-16 Alex Chernoff, Gabriela Galassi
In this paper, the authors assess the relationship between digitalization and labour demand and supply, and how this relationship affects wages and income inequality. We also explore implications of recent digitalization trends for the future of work.
Content Type(s): Staff research, Staff discussion papers Research Topic(s): Digitalization, Labour markets JEL Code(s): I, I2, I23, J, J2, J23, J24, O, O3, O33

Flagship Entry in Online Marketplaces

Staff Working Paper 2023-41 Ginger Zhe Jin, Zhentong Lu, Xiaolu Zhou, Lu Fang
In this paper, we empirically study how flagship entry in an online marketplace affects consumers, the platform, and various sellers on the platform. We find flagship entry may benefit consumers by expanding the choice set, by intensifying price competition within the entry brand, and by improving consumer perception for parts of the platform.
Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Market structure and pricing JEL Code(s): D, D4, L, L1, L8

Unmet Payment Needs and a Central Bank Digital Currency

We discuss the payment habits of Canadians both in the current payment environment and in a hypothetical cashless environment.

Generalized Autoregressive Gamma Processes

Staff Working Paper 2023-40 Bruno Feunou
We introduce generalized autoregressive gamma (GARG) processes, a class of autoregressive and moving-average processes in which each conditional moment dynamic is driven by a different and identifiable moving average of the variable of interest. We show that using GARG processes reduces pricing errors by substantially more than using existing autoregressive gamma processes does.
Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing, Econometric and statistical methods JEL Code(s): C, C5, C58, G, G1, G12
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