博碩士論文 106522614 完整後設資料紀錄

DC 欄位 語言
DC.contributor資訊工程學系zh_TW
DC.creator烏堤卡zh_TW
DC.creatorRicha Etika Ulhaqen_US
dc.date.accessioned2019-8-19T07:39:07Z
dc.date.available2019-8-19T07:39:07Z
dc.date.issued2019
dc.identifier.urihttp://ir.lib.ncu.edu.tw:444/thesis/view_etd.asp?URN=106522614
dc.contributor.department資訊工程學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract許多研究著重於通過使用財務比率或將其與公司治理指標相結合來預測破產,而本研究追求的是使用公司負面新聞事件來預測公司的第一次危機,而這個危機會對公司帶來實際上的損害,這可能是防止他們破產的第一步。 在看門狗資料庫中所記錄每家上市上櫃公司的事件資訊,可用於預測公司的財務危機。 本研究採用統計學和機器學習方法用危機前三年的事件作為特徵來預測公司發生的第一次危機,此方法受研究問題的推動:實驗所選擇的自三年前開始的看門狗事件是否有助於提高預測第一次的危機表現? 為了瞭解這個問題,我們提出了一個模型是通過財務比率和看門狗事件中的五種事件的組合所建立的。zh_TW
dc.description.abstractWhile many studies focused on predicting bankruptcy by using financial ratios or combining them with corporate governance indicators, this study pursue a crisis events which causes lose to a company to predict their first crisis which can be an initial step to prevent them to be bankrupt in the future. Recorded events information-gathered by watchdog dataset of Taiwan listed companies-before the financial crisis happened in a company can be used to predict financial crisis in a company. This study focus on the prediction start from three year periods before first crisis happened in a company using statistical and machine learning method which is motivated with the research question: could the chosen watchdog events help to improve the performance of crisis prediction start from three years before first crisis? To acknowledge this question, a proposed model is built by a combination of financial ratios and five events gathered by watchdog using Taiwan listed companies.en_US
DC.subject看門狗事件zh_TW
DC.subject財務比率zh_TW
DC.subject危機預測zh_TW
DC.subjectwatchdog eventsen_US
DC.subjectfinancial ratioen_US
DC.subjectcrisis predictionen_US
DC.title三年看門狗事件在危機預測已台灣上市上櫃公司為例zh_TW
dc.language.isozh-TWzh-TW
DC.titleThree-Year Periods Watchdog Events for Predicting Crisis Phase Using Taiwan Listed Companies Dataseten_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明