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- W3122794280 abstract "Prior empirical work shows that IPOs generally earn positive excess first-day returns yet subsequently underperform. Many researchers examine the determinants of post-first-day IPO success, however, these studies do not test for first-year IPO return predictability due to unavailability of pre-IPO data with which to predict first-year performance. In this study we utilize strictly pre-IPO financial data manually obtained from corporate IPO registrations to predict the first-year post-IPO performance of health care firms. We do so by utilizing firm size, free cash flows, discretionary accruals, and Altmans Z. Results suggest that each metric is a significant determinant of first-year raw cumulative and excess cumulative returns, and we are able to reliably identify which firms will be in the top and bottom performance quartiles 30 days, 6 months, and 12 months after the IPO." @default.
- W3122794280 created "2021-02-01" @default.
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- W3122794280 date "2013-04-23" @default.
- W3122794280 modified "2023-09-23" @default.
- W3122794280 title "Predicting First-Year Returns Of Health Care IPOs" @default.
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- W3122794280 doi "https://doi.org/10.19030/jabr.v29i3.7788" @default.
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