Arbeitspapier
Rationing and screening in crowdinvesting-markets
The allocation of shares on crowd-investing-platforms is best described by the phrase "first come, first served". An entrepreneur who sells corporate equity to a "crowd" of investors on such a platform chooses a fixed investment target before the investment period begins. Once the aggregate investments equal the investment target the financing period ends immediately. We demonstrate that this preferential treatment of early investors is not optimal because it potentially excludes informational disadvantaged investors and entrepreneurs from the market. We recommend a market design that allows for some excessive demand. Such a design would increase the willingness of informational disadvantaged investors and entrepreneurs to participate in the market. At the same time, it would minimize a platforms screening costs and maximize its profits.
- Language
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Englisch
- Bibliographic citation
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Series: Thünen-Series of Applied Economic Theory - Working Paper ; No. 142
- Classification
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Wirtschaft
Market Structure, Pricing, and Design: General
Rationing; Licensing
Banks; Depository Institutions; Micro Finance Institutions; Mortgages
Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
Market Structure, Firm Strategy, and Market Performance: General
- Subject
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crowd-investing
initial public offering
excessive demand
market microstructure
asymmetric information
- Event
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Geistige Schöpfung
- (who)
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Mäschle, Oliver
Dalvai, Wilfried
- Event
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Veröffentlichung
- (who)
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Universität Rostock, Institut für Volkswirtschaftslehre
- (where)
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Rostock
- (when)
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2016
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Mäschle, Oliver
- Dalvai, Wilfried
- Universität Rostock, Institut für Volkswirtschaftslehre
Time of origin
- 2016