ZARSMIManagement Studies and Economic Systems2408-958361/220210201Using Altman Z”- Score to Predict Financial Distress: Evidence from Lebanese Alpha Banks4757128646ENJeanEliaDepartment of Banking, Belarus State Economic University (BSEU), Minsk, BelarusElenaTorosDepartment of Finance, Cyprus International University (CIU), Nicosia, North CyprusChadiaSawayaFaculty of Economics and Business Administration, Branch 6, Lebanese University (LU), Rashaya, LebanonMohamedBalouzaFaculty of Economics and Business Administration, Lebanese University (LU), Beirut, LebanonJournal Article20210331The main purpose of this research is to prove the validity of the Altman Z”-score model to expect the financial distress in the Lebanese Alpha banks over the period 2009 - 2018. The study begins with a literature review of secondary data from articles, books, financial reports, previous researches, and periodicals on the Lebanese Alpha Banks. The researchers calculated the Altman Z”-score for non-manufacturing companies and emerging markets. Moreover, to reach the specific goal of this study, the researchers used EViews Software and applied (1) a descriptive analysis of the variables (X<sub>1</sub>, X<sub>2</sub>, X<sub>3</sub>, X<sub>4,</sub> and Z”) and (2) the Pearson Correlation Matrix to study the impact of the independent variables on the dependent variable. The authors validated the Altman Z”-score Model using the four independent variables. In addition to that, the correlation of the variables indicated that there is a strong positive correlation between X<sub>1 </sub>and Z” and a weak negative correlation between X<sub>2</sub> and Z” and a weak positive correlation between X<sub>3</sub> and X<sub>4 </sub>and Z”. Above all, based on the calculated values for the Z” for non-manufacturing companies and emerging markets, the majority of the ten Alpha Banks had values below the cutoff of 1.1 which showed evidence that they were distressed over the period 2009 - 2018. It is worth it noting, based on the results, that the Z”-score model is recommended as an important, instrumental indicator for any external or internal use of banks’ financial statements like auditors, financial managers, investors, and lenders, to take the correct decisions in case of financial distress or failure of these institutions.http://www.msaes.org/article_128646_9091487d08b3907e1e28d15e063cc79b.pdf