更新时间:02-27 上传会员:刘教授
分类:财务分析 论文字数:14505 需要金币:1000个
摘要:由于美国次贷危机引发出的全球金融危机,演变成为了世界经济危机,作为已经融入世界经济一体化的我国也是深受其害,其中中小企业受到的影响甚为严重。许多企业是步履艰难,困难重重。产品售价持续走低,费用成本不断攀上升,使许多中小企业出现资金链条断裂、盈利能力丧失、效益下降,有的甚至资不抵债,财务风险问题突出,引发财务危机进而破产倒闭。近年来,中小企业的数量呈现着不断锐减的趋势。这充分说明了我国中小企业应变能力较差,迫切地需要构建风险预警控制机制、加强财务管理,不断地提升企业可持续发展的能力,提升抗风险能力,最大限度地降低财务风险所造成的一些损失。
本篇论文拟在此方面进行一些有益的探索,希望对提高南京华照建筑工程有限公司公司的财务风险管理水平,促进其健康、快速发展产生积极的作用。通过对本文的研究,可以为南京华照建筑工程有限公司公司提供有关财务风险方面的建议。提出合理的风险规避策略,提高财务管理的水平,防范投资风险。
关键词 财务危机预警;SWOT分析 ;财务预警模型
Abstract:From the United States sub-loan crisis triggered a global financial crisis, become the world economic crisis, as has been integrated into the world economy in China also suffer, including the impact of small and medium enterprises by the very serious. Many companies are struggling, prices continued to decline, the cost rise constantly climbing. Many small and medium-sized enterprises funds chain broken, profitability, efficiency loss decreased, and some are even more liabilities than assets, the financial risk problem, cause financial crisis and bankruptcy. By the end of 2008, the small and medium-sized enterprise already by 3453 reduced to 3400. This fully demonstrates the ability of small and medium-sized enterprises in China is very poor, the urgent need to construct the mechanism of risk control, strengthen financial management, continue to enhance capacity for sustainable development of enterprises, to minimize the losses caused by the financial risk.
This paper intends to make some beneficial exploration in this aspect, hope to improve according to nanjing China construction engineering co., LTD. The company's financial risk management level, promote the healthy and rapid development have a positive effect.Through the study of this article, according to nanjing China construction engineering co., LTD. Company provides advice on financial risks. Put forward reasonable risk avoidance strategy, improve financial management level, prevent investment risks.
Keywords Financial crisis early warning SWOT analysis Financial early warning model