The weight of the share stock of a company may be described by power indices that quantify the possibility for each shareholder to get majority positions by coalitions with other shareholders. To study such indices allows us to build efficient models for forecasting, simulating, and regulating financial, political, and economic fields. An overview of financial applications of power indices is presented; this was carried out at the University of Bergamo along with partners in Europe and United States. New explanations and examples are added so as to better illustrate the results obtained. Additionally, certain open problems are described.

(2018). Power Indices for Finance . Retrieved from http://hdl.handle.net/10446/96225

Power Indices for Finance

BERTINI, Cesarino;GAMBARELLI, Gianfranco;
2018-01-01

Abstract

The weight of the share stock of a company may be described by power indices that quantify the possibility for each shareholder to get majority positions by coalitions with other shareholders. To study such indices allows us to build efficient models for forecasting, simulating, and regulating financial, political, and economic fields. An overview of financial applications of power indices is presented; this was carried out at the University of Bergamo along with partners in Europe and United States. New explanations and examples are added so as to better illustrate the results obtained. Additionally, certain open problems are described.
scientifica
Inglese
2018
Soft Computing Applications for Group Decision-making and Consensus Modeling
Mikael Collan, Janusz Kacprzyk
cartaceo
online
978-3-319-60206-6
357
45
69
Switzerland
Cham
Springer International Publishing
esperti anonimi
Settore SECS-S/06 - Metodi mat. dell'economia e Scienze Attuariali e Finanziarie
Banzhaf index; Finance; Power index; Shapley-Shubik index; Simple games; Takeover; Voting; Weighted majority game
ISBN 978-3-319-60207-3 (eBook)
The volume (Studies in Fuzziness and Soft-computing, Vol. 357: Soft Computing Applications for Group Decision-making and Consensus Modeling) is dedicated to Prof. Mario Fedrizzi.
Studies in Fuzziness and Soft Computing: ISSN 1434-9922; ISSN 1860-0808 (electronic).
info:eu-repo/semantics/bookPart
(2018). Power Indices for Finance . Retrieved from http://hdl.handle.net/10446/96225
reserved
1.2 Contributi in volume - Book chapters::1.2.01 Contributi in volume (Capitoli o Saggi) - Book Chapters/Essays
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Bertini, Cesarino; Gambarelli, Gianfranco; Stach, Izabella; Zola, Maurizio
4
268
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