Running Head: Going Public and the Sale of Shares with Heterogeneous Investors Title: Going Public and the Sale of Shares with Heterogeneous Investors: Agent-Based Computational Modelling and Computer Simulations Authors and Affiliations:
نویسندگان
چکیده
In this paper we use agent-based computational modelling and computer simulations to examine the role and interrelationship between different selling strategies for going public. A great deal of recent empirical evidence suggests that to maximise the revenue raised from the shares sold in the public offering, it is fundamental to choose the appropriate design for the sale which, in turn, reflects the final ownership structure. This literature establishes that the market for shares is segmented and, particularly, that firms manage the sale of shares with the purpose of discriminating between relatively small and passive investors and applicants for large potentially controlling blocks. One of the key questions in this area, then, is: How and to what extent should this heterogeneity among potential investors influence the firm's strategy for selling shares? Here we attempt to address this question from the standpoint of using agent-based computational modelling and computer simulations. Results show that the design of the sale is an important determinant of the performance of the negotiation process through which the firm is sold. A sequential sale beginning with an initial public offering of dispersed shares, followed by a negotiated sale of a controlling block is, in general, more effective than other alternative selling strategies. Changing the negotiation protocol itself can act as an effective way of impacting upon the revenue raised and the length of the process. The interrelationship between the method of sale and the performance may also depend on the degree of cognitive accuracy that characterises the negotiating agents' mental representations of their physical and social environment.
منابع مشابه
Going Public and the Sale of Shares with Heterogeneous Investors: Agent-Based Computational Modelling and Computer Simulations
In this paper we use agent-based computational modelling and computer simulations to examine the interrelationship between different selling strategies for going public. A great deal of recent empirical evidence suggests that to maximise the revenue raised from the shares sold in the public offering, it is fundamental to choose the appropriate design for the sale which, in turn, reflects the fi...
متن کاملComparison of Portfolio Optimization for Investors at Different Levels of Investors' Risk Aversion in Tehran Stock Exchange with Meta-Heuristic Algorithms
The gaining returns in line with risks is always a major concern for market play-ers. This study compared the selection of stock portfolios based on the strategy of buying and retaining winning stocks and the purchase strategy based on the level of investment risks. In this study, the two-step optimization algorithms NSGA-II and SPEA-II were used to optimize the stock portfolios. In order to de...
متن کاملAgent-based stockmarket models: calibration issues and application
Returns on stocks have traditionally been modelled by fitting a suitable statistical process to empirical returns. In contrast the agent-based approach to stockmarket modelling considers stock prices as arising from the interaction of a number of individual investors each trading with their own aims. This approach has been shown to reproduce features of real stockmarkets. To date the agent-base...
متن کاملAuctions : Will they eliminate traditional underwriting inefficiencies ? Sara McDonald HEC , University of Lausanne MBF
Initial Public Offerings (IPOs) in the United States have been mainly underwritten and sold using the bookbuilding method; a method inherently riddled with inefficiencies and information asymmetries. Consequently, IPOs in the U.S. (and other countries for that matter) have been persistently underpriced, at the expense of both the issuing firm and public investors. Alternative underwriting proce...
متن کاملOnce Burned, Twice Shy: How Pride and Regret Affect the Repurchase of Stocks Previously Sold
We establish two previously undocumented patterns in the purchase selections of individual investors and confirm a related pattern. These patterns hinge on investors’ previous experience with a stock. We demonstrate that investors prefer to: (1) repurchase stocks they previously sold for a gain rather than stocks they previously sold for a loss, (2) repurchase stocks that have lost value subseq...
متن کامل