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Insider trading, abnormal return and preferential information: Supervising through a probabilistic model

Journal of Banking & Finance
Publication Date
DOI: 10.1016/s0378-4266(01)00209-6
  • Insider Trading
  • Disgorgement
  • Event Studies Analysis
  • Wiener Process
  • Abnormal Return
  • Computer Science
  • Economics


Abstract The enforcement of the ban on insider trading requires an evaluation of the disgorgement, i.e. the capital gain of the insider trader who takes advantage of the exploitation of preferential information. An initial step forward on this topic has been taken by the SEC, the United States Securities and Exchange Commission, which has developed a quantitative procedure based on the event-study methodology. This paper develops an adaptation of this procedure for the Italian market and explains the limits of these methodologies in the analysis of the insider-trading phenomenon. In particular, it emerges that the econometric approach cannot be applied to all insider-trading schemes. In fact, in order to work out statistically significant results, it relies on a series of assumptions such as the existence of a robust reference market index or the availability of long time series data. For this reason, a new procedure for computing the economic value of the information exploited by the insider, based on a probabilistic approach, has also been developed. This methodology overcomes the issues connected to the event-study procedure and can be applied by construction to all insider-trading schemes and not only to the simplest ones. In fact, the model parameters are defined by using the trading strategy of the single insider; thus, if insider trading takes place, the model is able to offer a disgorgement computation; hence, by hypotheses of its construction, it is able to detect the difference between insiders and followers. The new procedure has been adopted by CONSOB and has been presented to the Judicial System, which is in charge of inflicting the fine.

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