Public disclosure and private information acquisition: A global game approach
被引:0
|
作者:
Cai, Zhifeng
论文数: 0引用数: 0
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机构:
Rutgers State Univ, Dept Econ, 75 Hamilton St, New Brunswick, NJ 08901 USARutgers State Univ, Dept Econ, 75 Hamilton St, New Brunswick, NJ 08901 USA
Cai, Zhifeng
[1
]
Dong, Feng
论文数: 0引用数: 0
h-index: 0
机构:
Tsinghua Univ, Sch Econ & Management, Beijing, Peoples R ChinaRutgers State Univ, Dept Econ, 75 Hamilton St, New Brunswick, NJ 08901 USA
Dong, Feng
[2
]
机构:
[1] Rutgers State Univ, Dept Econ, 75 Hamilton St, New Brunswick, NJ 08901 USA
[2] Tsinghua Univ, Sch Econ & Management, Beijing, Peoples R China
Information disclosure;
Information acquisition;
Dynamic complementarity;
Global games;
Strategic uncertainty;
PRICES;
COMPLEMENTARITIES;
MARKET;
MODEL;
COMMUNICATION;
MULTIPLICITY;
EXPECTATIONS;
EQUILIBRIUM;
NOISE;
D O I:
10.1016/j.jet.2023.105670
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
This paper studies public information disclosure in a model of dynamic financial markets with endoge-nous information acquisition. Due to an information complementarity, multiple equilibria may emerge, complicating comparative statics analysis. By adding noise to agents' information costs, we establish equi-librium uniqueness using global-game techniques. We show that while public information always crowds out private information in all underlying equilibria, it can crowd in private information acquisition in the unique global-game equilibrium. This result is driven by the strategic uncertainty introduced through the global-game refinement. The crowding-in effect is more pronounced when there is a high level of funda-mental uncertainty, which supports the case for greater information disclosure during times of increased market volatility.(c) 2023 Elsevier Inc. All rights reserved.
机构:
Chinese Univ Hong Kong, Dept Informat Engn, Hong Kong, Peoples R ChinaChinese Univ Hong Kong, Dept Informat Engn, Hong Kong, Peoples R China
Ding, Ningning
Fang, Zhixuan
论文数: 0引用数: 0
h-index: 0
机构:
Tsinghua Univ, Beijing, Peoples R China
Shanghai Qi Zhi Inst, Shanghai, Peoples R ChinaChinese Univ Hong Kong, Dept Informat Engn, Hong Kong, Peoples R China
Fang, Zhixuan
Huang, Jianwei
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Univ Hong Kong, Sch Sci & Engn, Shenzhen, Peoples R China
Shenzhen Inst Artificial Intelligence & Robot Soc, Shenzhen, Peoples R ChinaChinese Univ Hong Kong, Dept Informat Engn, Hong Kong, Peoples R China
Huang, Jianwei
2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM),
2020,
机构:
Centre for Transport Studies, Department of Civil and Environmental Engineering, University College London, Gower Street, London, WC1E 6BT, United KingdomCentre for Transport Studies, Department of Civil and Environmental Engineering, University College London, Gower Street, London, WC1E 6BT, United Kingdom