德明財經科技大學保險金融管理學系副教授; 國立彰化師範大學商業教育學系助理教授; 國立台灣大學財務金融系教授Department of Insurance and Financial Management, Takming University of Science and Technology; Department of Business Education, National Changhua University of Education; Department of Finance, National Taiwan University黃玉麗張元沈中華Huang, Y.L.Y.L.HuangChang, Y.Y.ChangShen, C.H.C.H.Shen2017-09-082018-06-282017-09-082018-06-282012-06http://ntur.lib.ntu.edu.tw//handle/246246/282100本文根據惠譽的銀行個別評等 (Fitch's Bank Individual Ratings, FIRs),利用2002至2005年全球91國3,881個銀行觀察值為樣本(其中3,433個觀察值為付費以取得之信用評等,448個觀察值獲得的是不請自來的信用評等),分析兩類型銀行之信評的相對績效高低來判斷不請自來的銀行信評是否相對低於付費(主動) 以取得之信用評等。我們應用 Rubin (1973) 與 Rosenbaum and Rubin (1983, 1985a,b) 的配對方法,透過將兩類型銀行樣本之財務特性修正至近似,以改善既有文獻中未處理的樣本選擇偏誤問題。我們發現在樣本配對前,獲得不請自來信評之銀行的許多財務績效指標相對低於付費取得信評之銀行,這解釋了為什麼前者之信評相對較低的原因;在樣本配對後即控制了兩類型銀行的財務特性之後,大部分的證據顯示不請自來的銀行信評仍然相對較低。因此本文發現, 即使考慮並處理了樣本的選擇偏誤,不請自來的銀行信評仍然存在向下偏誤的現象。This paper examines whether there is downward bias in Fitch's unsolicited bank credit ratings relative to solicited ratings using a matching approach. The sample for this study consists of those banks that had Fitch's Bank Individual Ratings (FBRs) during 2002--2005. There are 3,881 observations from 91countries, including 3,433 solicited ratings and 448 unsolicited ratings. By employing matching methods developed by Rubin (1973) and Rosenbaum and Rubin (1983, 1985a,b), four matching algorithms, Nearest, Caliper, Mahala and Mahala Caliper, are used to match the financial characteristics of two groups of banks in order to correct for sample selection bias. Our evidence shows that before sample matching, banks received unsolicited ratings have weaker financial profiles and this could partially explain why they also get lower ratings. Based on after-matching samples, most of the evidence suggests that unsolicited ratings are still biased downward after controlling for differences in key financial characteristics.22391386 bytesapplication/pdf不請自來的銀行信評(Unsolicited Bank Credit Ratings), 選擇偏誤(Self-selection Bias), 配對方法(Matching)不請自來的銀行信用評等有向下偏誤的現象嗎?--- 配對方法Are Unsolicited Bank Credit Ratings Biased Downward? --- A Matching Approachjournal articlehttp://ntur.lib.ntu.edu.tw/bitstream/246246/282100/1/4002_201206_1.pdf