Belief Distortions and Macroeconomic Fluctuations

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Description

Type of resource text
Form online resource
Extent 1 online resource
Place Stanford (Calif.)
Publisher Stanford Institute for Theoretical Economics
Publication date 2020
Language English
Digital origin born digital

Creators/Contributors

Author Bianchi, Francesco
Author Ludvigsony, Sydney
Author Ma, Sai
Speaker Bianchi, Francesco

Subjects

Genre Conference papers and proceedings

Bibliographic information

Note Presented at SITE on July 16, 2020
Session series
Title
Asset Pricing, Macro Finance, and Computation
Session
Organizer of meeting
Judd, Kenneth
Pohl, Walter
Schmedders, Karl
Wilms, Ole
Abstract
This session focuses on recent advances in asset pricing and macro finance as well as the use of computational techniques in these areas. Possible topics include but are not limited to the following: investor heterogeneity, learning and ambiguity, new preference structures for pricing models, or using machine learning to understand the cross-section of returns. As the analysis of such models often requires the use of computational methods, we encourage submissions that develop and make use of new numerical techniques.
Location https://purl.stanford.edu/nt526jg1638
Repository Stanford Institute for Theoretical Economics

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Use and reproduction
Copyright is retained by the author(s) or their heir(s).

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Stanford Institute for Theoretical Economics (SITE) Archives

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