Rudiger, Jesper and Vigier, Adrien (2013): Financial Experts, Asset Prices and Reputation.
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Abstract
We analyze how financial experts influence asset prices in a sequential trading model. In the model, an expert of unknown ability sends a report about asset values to traders, who then observe a signal about the expert's type. All information about the expert's ability is private to traders and only revealed through trades. When the expert's reputation is sufficiently high, traders ignore their private signal about ability and the market enters a reputational cascade in which no information about the expert reaches the market. Reputational cascades are conducive to asset price bubbles, which eventually result in market crashes when cascades terminate. Rather than being caused by the release of new information, market crashes in our model result from the sudden depreciation of past accumulated information. Finally, we show that reputational cascades are bad for liquidity and induce high price volatility.
Item Type: | MPRA Paper |
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Original Title: | Financial Experts, Asset Prices and Reputation |
English Title: | Financial Experts, Asset Prices and Reputation |
Language: | English |
Keywords: | Informational Cascades; Experts; Reputation; Asset Price Bubbles |
Subjects: | D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D82 - Asymmetric and Private Information ; Mechanism Design D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D83 - Search ; Learning ; Information and Knowledge ; Communication ; Belief ; Unawareness D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D84 - Expectations ; Speculations G - Financial Economics > G1 - General Financial Markets > G14 - Information and Market Efficiency ; Event Studies ; Insider Trading G - Financial Economics > G2 - Financial Institutions and Services > G20 - General |
Item ID: | 51784 |
Depositing User: | Jesper Rudiger |
Date Deposited: | 10 Jan 2014 09:48 |
Last Modified: | 05 Oct 2019 16:46 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/51784 |
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