A Competitive Search Theory of Asset Pricing

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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.

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Type of resource text
Date created July 28, 2021

Creators/Contributors

Author Kargar, Mahyar
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
Subject competitive search
Subject market liquidity
Subject perturbation methods
Genre Text
Genre Working paper
Genre Grey literature

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This work is licensed under a Creative Commons Attribution 4.0 International license (CC BY).

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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

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