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題名 The Prediction of Default with Outliers: Robust Logistic Regression
作者 Shen, Chung-Hua;Liang, Chen, Yi-Kai;Huang, Bor-Yi
沈中華
貢獻者 金融系
關鍵詞 Logit; Robust Logit; Forecast; Validation test
日期 2010
上傳時間 30-Mar-2015 12:02:46 (UTC+8)
摘要 This paper suggests a Robust Logit method, which extends the conventional logit model by taking outliers into account, to implement forecast of defaulted firms. We employ five validation tests to assess the in-sample and out-of-sample forecast performances, respectively. With respect to in-sample forecasts, our Robust Logit method is substantially superior to the logit method when employing all validation tools. With respect to the out-of-sample forecasts, the superiority of Robust Logit is less pronounced.
關聯 Handbook of Quantitative Finance and Risk Management,Part IV,pp 965-977
資料類型 article
DOI http://dx.doi.org/10.1007/978-0-387-77117-5_62
dc.contributor 金融系
dc.creator (作者) Shen, Chung-Hua;Liang, Chen, Yi-Kai;Huang, Bor-Yi
dc.creator (作者) 沈中華zh_TW
dc.date (日期) 2010
dc.date.accessioned 30-Mar-2015 12:02:46 (UTC+8)-
dc.date.available 30-Mar-2015 12:02:46 (UTC+8)-
dc.date.issued (上傳時間) 30-Mar-2015 12:02:46 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/74191-
dc.description.abstract (摘要) This paper suggests a Robust Logit method, which extends the conventional logit model by taking outliers into account, to implement forecast of defaulted firms. We employ five validation tests to assess the in-sample and out-of-sample forecast performances, respectively. With respect to in-sample forecasts, our Robust Logit method is substantially superior to the logit method when employing all validation tools. With respect to the out-of-sample forecasts, the superiority of Robust Logit is less pronounced.
dc.format.extent 456871 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Handbook of Quantitative Finance and Risk Management,Part IV,pp 965-977
dc.subject (關鍵詞) Logit; Robust Logit; Forecast; Validation test
dc.title (題名) The Prediction of Default with Outliers: Robust Logistic Regression
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1007/978-0-387-77117-5_62en_US
dc.doi.uri (DOI) http://dx.doi.org/10.1007/978-0-387-77117-5_62 en_US