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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/21817| 標題: | 分析潜在下市投資機會–以新加坡股市為例 A Qualitative Framework for Analyzing Potential Privatization Candidates – A Case Study of Singapore Stock Mark |
| 作者: | Gordan Chen Cien Sheng 陳銓勝 |
| 指導教授: | 陳坤志(Kun-Chih Chen) |
| 關鍵字: | 新加坡股市, Singapore Stock Market, |
| 出版年 : | 2019 |
| 學位: | 碩士 |
| 摘要: | Shares investing is my hobby. There are many investment strategies depending on risk appetite and expected returns. The popular one widely-advocated by financial literacy books include value investing, technical analysis, fundamental analysis, etc.
I am particularly interested in a speculative (in a risk-measured way) strategy, which is to identify and invest in companies that are potential targets of privatization because, the return can be significant. A 10-30% premium paid by the acquirer is not uncommon. This strategy is seldom being discussed, let alone being advocated, in investment books because it carries more risks. (E.g. well-managed companies but in a very unattractive industry or affected by cyclical downturn, or even companies who could be in a structural decline). Risks aside, it is also harder to execute as it is more qualitative than quantitative strategies like fundamental analysis or technical analysis. I will limit my research to only companies listed in the Singapore Exchange, where I am most familiar with. I shall study the reasons why listed companies are being privatized and, more importantly, the characteristics they displayed prior to being acquired to build a framework. I shall then use it to screen and shortlist some currently-listed companies with potential to be privatized. I will then select 3 stocks (with most likelihood to be privatized) for deep-dive analysis, before giving a final recommendation on which one (or all) to invest. |
| URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/21817 |
| DOI: | 10.6342/NTU201900111 |
| 全文授權: | 未授權 |
| 顯示於系所單位: | 管理學院企業管理專班(Global MBA) |
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| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-108-1.pdf 未授權公開取用 | 2.1 MB | Adobe PDF |
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