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A Markov model for valuing asset prices in a dynamic bargaining market 

Authors: Masaaki Kijima a; Yoshihiko Uchida b
Affiliations:   a Graduate School of Economics, Kyoto University, Yoshida-Honmachi, Sakyo-ku, Kyoto 606-8501, Japan
b Graduate School of Economics, Osaka University, 1-1 Yamadaoka Suita, Osaka 565-0871, Japan
DOI: 10.1080/14697680500149016
Publication Frequency: 8 issues per year
Published in: journal Quantitative Finance, Volume 5, Issue 3 June 2005 , pages 277 - 288
Number of References: 10
Formats available: HTML (English) : PDF (English)
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Abstract

This paper proposes a Markov chain model for studying the impact on asset prices of illiquidity associated with search and bargaining in an economy. The economy consists of finitely many agents who can trade only when they find each other, and any trade between agents changes the population of the agent types which affects the asset price in the future. Assuming that the equilibrium utility as well as the trade price is proportional to the asset dividend, we obtain the asset prices in steady state. Through extensive numerical experiments, we observe that the equilibrium prices exhibit the cutoff phenomenon (i.e. crash) as the fraction of pessimistic agents becomes large. Models with a market maker as well as irrational agents are also considered.
Keywords: Markov chain; Limiting distribution; Walrasian equilibrium; Market maker; Inventory; Irrational agents
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