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Networks and Heterogeneous Media

2012, Volume 7, Issue 2: 349-361. doi: 10.3934/nhm.2012.7.349
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Liquidity generated by heterogeneous beliefs and costly estimations

  • 1.
    CEREMADE, Universite Paris Dauphine, Place du Marechal de Lattre de Tassigny, 75016 Paris
  • 2.
    CEREMADE, Université Paris Dauphine, Place du Marechal de Lattre de Tassigny, 75016 Paris
  • Received: 01 November 2011 Revised: 01 March 2012

  • Primary: 91B24, 91B26; Secondary: 91Gxx.

  • We study the liquidity, defined as the size of the trading volume, in a situation where an infinite number of agents with heterogeneous beliefs reach a trade-off between the cost of a precise estimation (variable depending on the agent) and the expected wealth from trading. The "true" asset price is not known and the market price is set at a level that clears the market. We show that, under some technical assumptions, the model has natural properties such as monotony of supply and demand functions with respect to the price, existence of an equilibrium and monotony with respect to the marginal cost of information. We also situate our approach within the Mean Field Games (MFG) framework of Lions and Lasry which allows to obtain an interpretation as a limit of Nash equilibrium for an infinite number of agents.

    Citation: Min Shen, Gabriel Turinici. Liquidity generated by heterogeneous beliefs and costly estimations[J]. Networks and Heterogeneous Media, 2012, 7(2): 349-361. doi: 10.3934/nhm.2012.7.349

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  • We study the liquidity, defined as the size of the trading volume, in a situation where an infinite number of agents with heterogeneous beliefs reach a trade-off between the cost of a precise estimation (variable depending on the agent) and the expected wealth from trading. The "true" asset price is not known and the market price is set at a level that clears the market. We show that, under some technical assumptions, the model has natural properties such as monotony of supply and demand functions with respect to the price, existence of an equilibrium and monotony with respect to the marginal cost of information. We also situate our approach within the Mean Field Games (MFG) framework of Lions and Lasry which allows to obtain an interpretation as a limit of Nash equilibrium for an infinite number of agents.


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    5. Gaoshan Wang, Mingyue Chen, Xiaomin Wang, Yilin Dong, Zhiyi Wang, Opinion divergence, investor sentiment, and stock liquidity: Evidence from social media, 2024, 1029-3523, 1, 10.1080/10293523.2024.2398338
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