Abstract
When we estimate the merger effects by quantitative analysis models, results are usually received on an annual or on periodical basis. Thus the compression of the time mode becomes necessary to judge the success of the merger. In this study, we propose a model with parameter which compresses the time mode, and examine its fitness and effectiveness by using the real data. In order to compress the time mode on the estimated merger effects, we attempt two ways. One is by the rater who are not the member of the firm, and the other by our proposed method. Also we discuss the merits and problems of the two approaches.
