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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/72636

    Title: 公司治理指標在財務危機預測: 以美國上市公司為例;Corporate government indicators apply in financial distressed problem: taking US-listed company for example
    Authors: 田馥慈;TIEN, FU-TZU
    Contributors: 資訊工程學系
    Keywords: 財務危機預測;公司治理指標;Financial distress problem;corporate governance indicators
    Date: 2016-10-11
    Issue Date: 2017-01-23 17:09:19 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 財務危機預測問題一直以來都是重要且被廣泛討論的問題,包含分類器的使用及特徵篩選方法的選擇,都是全球金融界及研究學者關注的問題。我們過去已在台灣公司資料下證明出使用公司治理指標及財務指標當特徵會比單純用財務指標當特徵得到較好的預測結果。但卻發現美國公司方面的探討並不完整,因此我們想知道在美國公司資料下,將公司治理指標加入以財務指標為主的特徵集中,是否也可以改善預測準確率?
    ;Financial distress problem (FDP) has been important and widely studied topic. According different classifiers, feature selection methods even the ensemble learning have been discussed.
    The past research had proved CGIs can improve predict model in Taiwan firms dataset, so we want to know if CGIs could improve predict model in US firms dataset.
    We use z-score and block to be feature, and propose a new model to judge company by threshold. It can improve the accuracy of FDP in US dataset. We also introduce how to hand collect CGIs of US company.
    Appears in Collections:[資訊工程研究所] 博碩士論文

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