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author:

Lu, Yunzhao (Lu, Yunzhao.) [1] | Liu, Shulin (Liu, Shulin.) [2]

Indexed by:

EI CSCD

Abstract:

The authors construct an IPO selling mechanism with risk neutral retail investors, and two institutional investors that are better-informed and less-informed, respectively. In the mechanism, in addition to the main constraints such as the individual rationality (IR), the incentive compatibility (IC), and the feasibility constraint (FC), the authors consider two more typical constraints: There is a lower bound and no bound for allocation of the shares to two institutional investors. The authors derive the explicit expression of the optimal allocation of the shares to the investors. Under the lower bound constraint, the optimal mechanism will encourage the better-informed bidder to report sufficiently higher signal in order to get shares. If he gets allocation of shares, then the higher signal he reports, the more shares he will get, and the more the issuer’s expected maximum revenue will be. © 2016, Institute of Systems Science, Academy of Mathematics and Systems Science, CAS and Springer-Verlag Berlin Heidelberg.

Keyword:

Investments Machine design Sales

Community:

  • [ 1 ] [Lu, Yunzhao]Department of Economics and Trade, Fuzhou University of Foreign Studies and Trade, Fuzhou; 350202, China
  • [ 2 ] [Lu, Yunzhao]School of International Trade and Economics, University of International Business and Economics, Beijing; 100029, China
  • [ 3 ] [Liu, Shulin]Department of Economics and Trade, Fuzhou University of Foreign Studies and Trade, Fuzhou; 350202, China

Reprint 's Address:

  • [liu, shulin]department of economics and trade, fuzhou university of foreign studies and trade, fuzhou; 350202, china

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Related Keywords:

Source :

Journal of Systems Science and Complexity

ISSN: 1009-6124

CN: 11-4543/O1

Year: 2017

Issue: 2

Volume: 30

Page: 411-420

0 . 5 3

JCR@2017

2 . 6 0 0

JCR@2023

ESI Discipline: MATHEMATICS;

ESI HC Threshold:71

JCR Journal Grade:4

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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