Investigating the investment readiness of European SMEs: A machine learning approach

  • C. Alexakis*
  • , P. Gogas
  • , Giovanni Petrella
  • , M. Polemis
  • , F. Salvadè
  • *Autore corrispondente per questo lavoro

Risultato della ricerca: Contributo in rivistaArticolo

Abstract

This study exploits machine learning techniques to investigate the investment readiness of European small and medium-sized enterprises (SMEs). Understanding the drivers behind SMEs' willingness to use equity capital and foster innovation is crucial for promoting economic growth. Our analysis is grounded on the Survey on the Access to Finance of Enterprises (SAFE) released by the European Commission and the European Central Bank, which covers a vast sample of European SMEs. The empirical findings reveal that factors associated with the entrepreneurial ecosystem-such as regulatory frameworks, the availability of skilled staff, and perceived market outlook within a country-are critical drivers of investment readiness. Importantly, we find that access to debt financing and firm risk do not significantly influence SMEs' willingness to raise equity capital. Lastly, this research offers valuable insights for policymakers and equity providers, suggesting that tailored investment readiness programs that consider cultural and country-specific characteristics can unlock the full potential dynamics of European SMEs.
Lingua originaleInglese
pagine (da-a)1-30
Numero di pagine30
RivistaInternational Review of Financial Analysis
Volume105
Numero di pubblicazioneSeptember
DOI
Stato di pubblicazionePubblicato - 2025

All Science Journal Classification (ASJC) codes

  • Finanza
  • Economia ed Econometria

Keywords

  • Entrepreneurial ecosystem
  • Equity aversion
  • Investment readiness
  • Machine learning
  • SMEs

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