A Competitive Search Theory of Asset Pricing
Abstract/Contents
- Abstract
- We develop an asset-pricing model with heterogeneous investors and search frictions. Trade is intermediated by risk-neutral dealers subject to capacity constraints. Risk-averse investors can direct their search towards dealers based on price and execution speed. Order flows affect the risk premium, volatility, and equilibrium interest rate. We propose a new solution method to characterize the equilibrium analytically. We assess the quantitative implications of the model in response to a large adverse shock. Consistent with the empirical evidence from the COVID-19 crisis, we find an increase in the risk premium and market illiquidity, and a decline in interest rates.
Description
Type of resource | text |
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Date created | July 28, 2021 |
Creators/Contributors
Author | Kargar, Mahyar |
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Author | Passadore, Juan |
Author | Silva, Dejanir |
Organizer of meeting | Judd, Kenneth |
Organizer of meeting | Pohl, Walter |
Organizer of meeting | Schmedders, Karl |
Organizer of meeting | Wilms, Ole |
Subjects
Subject | asset pricing |
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Subject | competitive search |
Subject | market liquidity |
Subject | perturbation methods |
Genre | Text |
Genre | Working paper |
Genre | Grey literature |
Bibliographic information
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- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution 4.0 International license (CC BY).
Preferred citation
- Preferred citation
- Kargar, M., Passadore, J., and Silva, D. (2022). A Competitive Search Theory of Asset Pricing. Stanford Digital Repository. Available at https://purl.stanford.edu/sh770hw1349
Collection
SITE Conference 2021
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