Investors? Preferences in Financing New Ventures : A Data Mining Approach to Equity

By (author)Mazzocchini

This book plays a crucial role in the dissemination of knowledge and the advancement of scholarly research. Authored by experts in their fields, it undergoes rigorous peer review to ensure accuracy and academic integrity. Covering a wide range of subjects from the humanities to the sciences, it is used by students, researchers, and professionals alike to deepen their understanding of specific topics or fields of study.

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This book aims at providing an empirical understanding of the main drivers affecting investors? preferences in financing new ventures through equity crowdfunding (ECF) and determining fundraising campaign success. ECF is increasing in prominence as a route for new ventures in obtaining external financial resources. To raise capital, entrepreneurs are required to convey quality signals of their proposals with real-time information and knowledge sharing. This book advances knowledge in entrepreneurial finance by investigating the factors that affect individuals? decisions to participate in ECF. The authors adopt a data mining approach to extract publicly available information from a multitude of crowdfunding platforms across different countries, producing a unique dataset.

SKU: 9783031300578
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Weight 1 kg
Book Author

Mazzocchini

Edition

1st

Format

Hardback

ISBN

9783031300578

Language

English

Pages

164

Publication Year

Publisher

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