1997年爆發亞洲金融風暴，隔年（1998年）起公司發生財務危機事件層出不窮，1998年至2005年間最為嚴重；2007年全球金融海嘯至今，投資人擔心買到地雷股，對於投資股票市場仍採觀望態度。在經過層層把關的財報背後究竟隱藏多少危機？這些危機難道是不可預測的嗎？其實，公司爆發財務危機並非一夕之間產生的問題，就如同人類的慢性病不是一天造成的，是長期忽略身體健康警訊造成的結果，事出必有因，因此許多學者便開始探究財務危機背後的成因，試圖找出一些指標供投資人作為投資前之考量因素。 本研究主要之目的在於探究財務危機之預測指標，分別探討Beta、公司規模、淨值市價比以及前一年平均報酬（負的動能效果）是否可作為財務危機之預測指標。本研究之樣本公司為1983年至2007年之台灣上市公司，利用Altman提出之Z-score模型將公司區分為危機公司以及正常公司，再將樣本公司依Beta、公司規模、淨值市價比以及前一年平均報酬分別分組，探討這些變數是否可作為財務危機之預測指標。實證結果指出Beta及淨值市價比無法作為財務危機之預測指標，但公司規模及前一年平均報酬（負的動能效果）可以作為財務危機之預測指標。 / With the Asian financial crisis breaking out in 1997, many companies began to suffer financial distress in the following year, and the situations were getting even worse during 1998 and 2005. Faced the new waves of financial tsunami across the world starting from 2007, the investor, therefore, have been adopting a wait-and-see attitudes towards the stock market, fearing of being hit by the “tank stocks”。How many financial problems hidden behind the carefully prepared financial statements? Are they unpredictable? As a matter of fact, just like the human chronic diseases which actually caused by long-term ignorance of health warning, corporate financial distress never happens suddenly. Thus a number of scholars are dedicated to study the reasons for financial problems, attempting to figure out certain indicators capable of being prior reference for investment decision-making. This paper aims to study the predictors of financial distress. Beta, firm size, book-to-market ratio and average monthly prior-year return (negative momentum effect) are to be considered respectively to determine their possibilities of being predictors. The sample companies discussed in this paper are chosen among the listed companies during 1983 and 2007 in Taiwan. They are grouped into two categories of crisis company and normal company by using the Z-score model developed by Altman. Then the sample companies are divided in terms of Beta, firm size, book-to-market ratio and average monthly prior-year return so as to trace these variables’ likelihood to predict bankruptcy. It eventually turns out that firm size and average monthly prior-year return could serve as predictors of financial distress, other than Beta and book-to-market ratio.