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    請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/92249


    題名: 估計公司內部價值的最佳方法為何? —以臺灣50指數為例
    作者: 何竺諠;He, Jhu-Syuan
    貢獻者: 企業管理學系
    關鍵詞: 內部價值;估值模型;股價預測能力;臺灣50指數;V/P ratio;valuation models;internal value;stock price predictive capability;FTSE TWSE Taiwan 50 Index
    日期: 2023-07-18
    上傳時間: 2024-09-19 15:27:43 (UTC+8)
    出版者: 國立中央大學
    摘要: 本研究主要探討在預估公司內部價值時,何種估值模型對於股票價格有更好的預測能力以及追蹤能力,預估股票價格有許多方式,而本研究比較四種估值模型,分別為 B/P、D/P、E/P 以及 V/P ratio,其中 V/P ratio 進一步考慮到利率會隨時間變化,因此分為短期利率、長期利率探討,研究中選取臺灣前五十大市值的公司並預估其內部價值,意即將臺灣50指數成分股作為預估標的。
    根據本研究實證結果,V/P ratio 並非為預估臺灣50指數成分股內部價值的最佳預測方法,表示此方法可能不適用於台灣股票市場,其僅於短期對於臺灣50指數異常報酬具有較佳的預測能力,而以長期來看,四種方法中 E/P ratio 應為較適合的預估方法,E/P ratio 追蹤股票價格的能力較穩定。綜上所述,雖然 V/P ratio 並非最佳的預測方法,然而因本研究預估價值時選取樣本的時間頻率為年資料,若改以季資料或許結果將會有所改善,此外亦可依照產業特性將公司分類,或許將有助於減少預測誤差。;This study primarily investigates the valuation models that have better predictive and tracking capabilities for estimating the internal value of a company and its impact on stock prices. There are various methods for estimating stock prices, and this research compares four valuation models: B/P (Book-to-Price ratio), D/P (Dividend-to-Price ratio), E/P (Earnings-toPrice ratio), and V/P (Value-to-Price ratio). The V/P ratio takes into account the time-varying
    nature of interest rates and further analyzes short-term and long-term interest rates. The study selects the top 50 companies in Taiwan by market capitalization and estimates their internal values, considering them as proxies for the “FTSE TWSE Taiwan 50 Index” constituents.
    Based on the empirical results of this study, the V/P ratio is not the optimal method for estimating the internal value of the “FTSE TWSE Taiwan 50 Index” constituents. This indicates that this method may not be suitable for the Taiwanese stock market. It only exhibits better predictive capabilities for abnormal returns of the “FTSE TWSE Taiwan 50 Index” in the short term. However, in the long term, among the four methods, the E/P ratio is considered a more suitable method for estimating stock prices, as it demonstrates more stable tracking abilities. In summary, although the V/P ratio is not the best predictive method, if the study were conducted using quarterly data instead of annual data, the results might improve. Additionally, categorizing companies based on industry characteristics could potentially reduce prediction
    errors.
    顯示於類別:[企業管理研究所] 博碩士論文

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