Learning about Unprecedented Events: Agent-Based Modelling and the Stock Market Impact of COVID-19
Year of publication: |
2021
|
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Authors: | Bazzana, Davide ; Colturato, Michele ; Savona, Roberto |
Publisher: |
Milano : Fondazione Eni Enrico Mattei (FEEM) |
Subject: | Agent-Based Model | Representativeness | Unprecedented Events |
Series: | Working Paper ; 026.2021 |
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Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 1775898326 [GVK] hdl:10419/246751 [Handle] RePEc:fem:femwpa:2021.26 [RePEc] |
Classification: | G11 - Portfolio Choice ; G12 - Asset Pricing ; G14 - Information and Market Efficiency; Event Studies ; C63 - Computational Techniques |
Source: |
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Learning about unprecedented events: agent-based modelling and the stock market impact of COVID-19
Bazzana, Davide, (2021)
-
Learning About Unprecedented Events : Agent-Based Modelling and the Stock Market Impact of COVID-19
Savona, Roberto, (2021)
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Learning about Unprecedented Events : Agent-Based Modelling and the Stock Market Impact of COVID-19
Bazzana, Davide, (2021)
- More ...
-
Learning about unprecedented events: agent-based modelling and the stock market impact of COVID-19
Bazzana, Davide, (2021)
-
Learning About Unprecedented Events : Agent-Based Modelling and the Stock Market Impact of COVID-19
Savona, Roberto, (2021)
-
Learning about Unprecedented Events : Agent-Based Modelling and the Stock Market Impact of COVID-19
Bazzana, Davide, (2021)
- More ...