博碩士論文 964308028 完整後設資料紀錄

DC 欄位 語言
DC.contributor財務金融學系在職專班zh_TW
DC.creator陳勝忠zh_TW
DC.creatorSheng-Chung Chenen_US
dc.date.accessioned2009-6-24T07:39:07Z
dc.date.available2009-6-24T07:39:07Z
dc.date.issued2009
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=964308028
dc.contributor.department財務金融學系在職專班zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract次貸金融風暴的發生,金融業的流動性風險更顯重要,資金移轉訂價是現行資產負債管理重要的範疇,而要合理執行資金移轉訂價,評量產品存續期間是重要的課題,所以本研究運用比例危險模型(Proportional Hazard Model)研究影響存續期間的因子,並利用存活分析(Survival Analysis)預測存續期間的長短。 本研究利用T銀行2001~2008年信用卡通信貸款共93,929筆資料分析,比例危險模型實證發現男性比女性存續期間較短,教育程度越高存續期間越短,年齡越高存續期間越長,貸款金額越高存續期間越短,貸款利率越高存續期間越短。以存活分析預測存續期間發現Extreme分配預測能力較佳。 zh_TW
dc.description.abstractIn the aftermath of the sub-prime crisis, the liquidity risk to financial institutions have become more and more important, Fund transfer pricing is also a major key factor in the current practices of asset and liabilities management. To determine a fair and reasonable pricing for the transfer of funds, each product’s duration must be accurately estimated. This study applies the Proportional Hazard Model to analyze the various factors which may effect the duration of an individual product, and to employ Survival Analysis to estimate the length of the duration. Using 93,929 mail loan transactions from T-bank during 2001 to 2008, the finding reveal that under the Proportional Hazard Model female have a longer duration than male, higher education means a shorter duration, older individuals have a longer duration than their younger peers, higher loan balance means shorter duration, higher loan rate means shorter duration. We also discover that the Extreme distribution resulted in a more accurate duration forecast from the survival analysis. en_US
DC.subject比例危險模型zh_TW
DC.subject存續期間zh_TW
DC.subject存活分析zh_TW
DC.subjectDurationen_US
DC.subjectSurvival Analysisen_US
DC.subjectProportional Hazard Modelen_US
DC.title以存活分析法預測通信貸款之還款期限zh_TW
dc.language.isozh-TWzh-TW
DC.titleUtilizing Survival Analysis to Predict Duration of Mail Loan Productsen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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