破产风险 meaning in Chinese
bust-urisks
clean risk of liquidation
Examples
- The financial risk of the enterprise , look from narrow sense , it is to because use what financial lever brings to the enterprise to go bankrupt , point to risk or the risk that common stock accrual produces to change substantially
企业的财务风险，从狭义上看，是指由于利用财务杠杆给企业带来的破产风险或普通股收益发生大幅度变动的风险。 - High debt level of the enterprise results in the strategic advantage over the product competition , but under the demand uncertainty , the demand shock made all partners raise their debt level and lead them strapping into the " prisoner ' s dilemma "
但在不确定性需求下，需求的波动将会使企业都选择高负债的资本结构，企业陷入了提高负债的“囚徒困境” ，从而使得企业破产风险增大。 - To use the experience of other countries and districts for reference , i thorough analyze the possibility of establish the spv under the china current law , tax and accounting circumstances , subsequently bring up the most viable native spv modes , and try to find out the breakthrough of developing asset securitization in china
本文简要描述资产证券化的运营过程，继而重点介绍spv隔离破产风险的原理，并借鉴国外的实践经验，深入分析在中国现行法律、税收和会计制度约束下设立spv的可能性，进而提出最可行的设立模式，试图找出在中国开展资产证券化的突破口。 - The dissertation analyzes determinants of financial structure of listed agribusinesses in china by using the empirical methodology , and provides the empirical evidences of theories of financial structure and traits of chinese listed agribusinesses . the influence of the micro - factors and macro - circumstance is tested . in addition it shows reasons from tax , bankruptcy risk , agency cost and asymmetric information perspectives
全文从微观因素和宏观环境两个层面展开，分析了盈利性、经营风险、资产实质性、规模、税收制度、股权结构、金融体系等因素对融资结构的影响，并从税收、破产风险、代理成本和不对称信息的角度分析了产生的原因。 - The conclusions elicited by so many studies at home and abroad indicated that the financial data and financial index can be used to predict the financial crisis or bankruptcy risk of an enterprise , and in case of the methods in the field of financial risk prediction has inclined to be stability , and no important breakthrough in recent years
国内外许多研究得出的结论已经表明，财务数据和财务指标可用于预测企业的财务危机或破产风险。在财务危机预测领域，就研究方法而言，已经趋于稳定，近几年来始终没有重大的突破，相关的研究只是从技术细节上不断的完备，目前仍然存在着一些问题，如：预测变量的选择、多重共线性等问题，始终没有得到有效的解决。