Research On The Financial Risk Predicting Of The Power Plate Companies

Financial, accounting, and operating information are the barometer of reflecting the whole company's development. Meanwhile, it is also the basis of the macro-economic diplomacy. The power industry, as the basis of the energy supply, not only influence the company's development, but also relevant to the energy supply security and our basic life. As a result, it is important to build a financial indicator system to supply the government's diplomacy.In this, from the point of view of the demand of power industry company, referring the data from 2005 to 2009 in CCER database, choosing 58 companies as examples, using simple weighting method, DEA, Logistic Linear Regression and LVQ neural method to evaluate the influence of the indicator, so as to make a suitable judgment to the operating of the power industry companies. Finally, it would be a basis to the diploma on making diplomacy.In the end, after comparing these methods, we can get these conclusions:first, the impact of capital markets runs throughout the whole course. Second, the LVQ neural method is better. Third, the level of indebtedness, the working capital turnover cycle, and expansion of liquidity are the best four indicators in predicting enterprises' deepest financial crisis.