In recent years, China insurance industry of China grew rapidly but unsteadily. While the premiums are running at record highs, the deficits of property insurance company are aggravating sharply. The overlook of the financial early warning perhaps is one of the significant reasons that cause such phenomenon. But the timely and accurate financial prediction of property insurance company is probably indispensable, because it not only acts as the security to achieve a company's long-range goals, but also may help companies adjust their business strategies so that being more healthy and steadily. Thus, objective and accurate financial early warning is crucial and necessary. Accordingly, this thesis will examine and analyze the situation of some selected local property insurance companies based on the statistical data and the Z-score model from a financial perspective. Then calculating and comparing the Z-score of these selected companies. Moreover, the thesis will find the problems and disadvantages hidden in the cooperation of such companies according to the calculations, explore the courses of such shortages, and put forward the countermeasures in improving such companies' situation.
