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

by Francesco James Mazzocchini, Caterina Lucarelli

Chapter 1. Introduction: what is equity crowdfunding and how can the decision-making process of retail investors be outlined? -- Chapter 2. About entrepreneurial finance and factors affecting crowd-investor preferences -- Chapter 3. Definition and description of the analytical process: a data mining approach -- Chapter 4. Sample selection and platform characteristics -- Chapter 5. Data analysis and econometric models -- Chapter 6. Empirical results -- Chapter 7. Conclusions and contributions to theory and practice.

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Year of publication:	2023
Authors:	Mazzocchini, Francesco James ; Lucarelli, Caterina
Publisher:	2023.: Cham : Springer Nature Switzerland 2023.: Cham : Imprint: Palgrave Macmillan
Subject:	Equity crowdfunding \| Fintech \| Entrepreneurial finance \| New ventures success \| Signaling theory \| Data mining \| ECF platforms \| Equity crowdfunding platforms \| observational learning theory \| herd behavior \| Data Mining \| Crowdfunding \| Unternehmensgründung \| Business start-up \| Unternehmensfinanzierung \| Corporate finance \| Signalling \| Risikokapital \| Venture capital \| Anlageverhalten \| Behavioural finance \| Herdenverhalten \| Herding

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Extent:	1 Online-Ressource (XIV, 147 p. 26 illus., 11 illus. in color.)
Type of publication:	Book / Working Paper
Language:	English
ISBN:	978-3-031-30058-5 ; 978-3-031-30057-8 ; 978-3-031-30059-2
Other identifiers:	10.1007/978-3-031-30058-5 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014253047