Gianpaolo, Rodolfo (A.A. 2024/2025) Predicting IPO returns in start-up firms: the role of financial metrics evidence from US IPOs (2017–2021). Tesi di Laurea in Financial statement analysis, Luiss Guido Carli, relatore Jonathan Berkovitch, pp. 55. [Bachelor's Degree Thesis]

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Abstract/Index

Literature review. IPO underpricing: classic evidence and theoretical perspectives. Short-term vs. Long-term IPO performance: diverging outcomes and empirical evidence. The predictive role of profitability metrics in short- and long-term IPO performance. Profitability, size and post-IPO dynamics in emerging markets: evidence from Poland. Short-term vs. Long-term IPO performance: the role of R&D intensity. The impact of leverage on IPO pricing: high-tech vs. Low-tech. Leverage and liquidity as long-run predictors: evidence from the Taiwanese IPO market. Methodology & sample. Results. Overview of post-IPO returns in the start-up sample. Profitability metrics and their predictive power. Leverage effects: insights from the debt-to-assets ratio. Liquidity indicators and their relevance. Firm size and its impact on IPO returns. The role of R&D intensity. Exploring growth metrics. Multivariate model for first-day IPO returns. Multivariate model for one-year post-IPO performance.

References

Bibliografia: pp. 49-53.

Thesis Type:	Bachelor's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Bachelor's Degree Programs > Bachelor's Degree Program in Business Administration, English language (L-18)
Chair:	Financial statement analysis
Thesis Supervisor:	Berkovitch, Jonathan
Academic Year:	2024/2025
Session:	Summer
Deposited by:	Alessandro Perfetti
Date Deposited:	04 Dec 2025 14:22
Last Modified:	04 Dec 2025 14:22
URI:	https://tesi.luiss.it/id/eprint/44237

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