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doi: 10.2307/2696407
handle: 10261/58374 , 10230/580
The paper analyzes the effects of strategic behavior by an insider in a price discovery process, akin to an information tatonnement, in the presence of a competitive informed sector. Such processes are used in the preopening period of continuous trading systems in several exchanges. It is found that the insider manipulates the market using a contrarian strategy in order to neutralize the effect of the trades of competitive informed agents. Furthermore, consistently with the empirical evidence available, we find that information revelation accelerates close to the opening, that the market price does not converge to the fundamental value no matter how many rounds the tatonnement has, and that the expected trading volume displays a U-shaped pattern. We also find that a market with a larger competitive sector (smaller insider) has an improved informational efficiency and an increased trading volume. The insider provides a public good (a lower informativeness of the price) for the competitive informed sector.
jel:D82, contrarian behavior, market microestructure, preopening auction, insider trading, information atonnement, contrarian behaviour; information tâtonnement; insider training; market manipulation; market microstructure; preopening auction, market manipulation, Finance and Accounting, jel: jel:D82, jel: jel:G12, jel: jel:G14
jel:D82, contrarian behavior, market microestructure, preopening auction, insider trading, information atonnement, contrarian behaviour; information tâtonnement; insider training; market manipulation; market microstructure; preopening auction, market manipulation, Finance and Accounting, jel: jel:D82, jel: jel:G12, jel: jel:G14
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 42 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
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