The probability of a subsequent IPO after taken private through LBO
碩士 === 國立臺灣大學 === 財務金融學研究所 === 106 === Several papers study on the topic of whether Leveraged Buyouts (LBOs) would create value. Guo, Hotchkiss and Song (2011) shows that within all possible outcomes of an LBO, a subsequent IPO seems to have the highest returns. They further investigate the relative...
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ndltd-TW-106NTU053040732019-05-16T01:07:39Z http://ndltd.ncl.edu.tw/handle/gve99t The probability of a subsequent IPO after taken private through LBO 公司被槓桿收購後再重新上市之機率 Hsing-Yu Lee 李星諭 碩士 國立臺灣大學 財務金融學研究所 106 Several papers study on the topic of whether Leveraged Buyouts (LBOs) would create value. Guo, Hotchkiss and Song (2011) shows that within all possible outcomes of an LBO, a subsequent IPO seems to have the highest returns. They further investigate the relative importance of the three potential contributors of returns. Their study indicates that improvements in operating performance measured by accounting items play an important role in generating returns. In this paper, I collect data for companies announced to go private through LBO between January 1990 and June 2014. Logit regression is applied for modeling the probability, the results suggest that the estimated probability of a subsequent IPO, on average, is much higher than the simple estimator, calculated as dividing number of companies with a subsequent IPO in the sample by sample size. Overall, I believe the results indicate that the model specification in this paper is reliable. Shean-Bii Chiu 邱顯比 2018 學位論文 ; thesis 22 en_US |
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碩士 === 國立臺灣大學 === 財務金融學研究所 === 106 === Several papers study on the topic of whether Leveraged Buyouts (LBOs) would create value. Guo, Hotchkiss and Song (2011) shows that within all possible outcomes of an LBO, a subsequent IPO seems to have the highest returns. They further investigate the relative importance of the three potential contributors of returns. Their study indicates that improvements in operating performance measured by accounting items play an important role in generating returns. In this paper, I collect data for companies announced to go private through LBO between January 1990 and June 2014. Logit regression is applied for modeling the probability, the results suggest that the estimated probability of a subsequent IPO, on average, is much higher than the simple estimator, calculated as dividing number of companies with a subsequent IPO in the sample by sample size. Overall, I believe the results indicate that the model specification in this paper is reliable.
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Shean-Bii Chiu |
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Shean-Bii Chiu Hsing-Yu Lee 李星諭 |
author |
Hsing-Yu Lee 李星諭 |
spellingShingle |
Hsing-Yu Lee 李星諭 The probability of a subsequent IPO after taken private through LBO |
author_sort |
Hsing-Yu Lee |
title |
The probability of a subsequent IPO after taken private through LBO |
title_short |
The probability of a subsequent IPO after taken private through LBO |
title_full |
The probability of a subsequent IPO after taken private through LBO |
title_fullStr |
The probability of a subsequent IPO after taken private through LBO |
title_full_unstemmed |
The probability of a subsequent IPO after taken private through LBO |
title_sort |
probability of a subsequent ipo after taken private through lbo |
publishDate |
2018 |
url |
http://ndltd.ncl.edu.tw/handle/gve99t |
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