asymmetries
英 [æˈsɪmɪtriz]
美 [ˌeɪˈsɪmətriz]
n. 不对称
asymmetry的复数
柯林斯词典
- N-VAR 不对称;不匀称
Asymmetryis the appearance that something has when its two sides or halves are different in shape, size, or style.- ...the asymmetry of Van de Velde's designs of this period.
范德费尔德这一时期设计作品的不对称性
- ...the asymmetry of Van de Velde's designs of this period.
双语例句
- The presence of such information asymmetries means that inherent technological value does not lead inevitably to commercialization;
这种信息不对等的状态就意味着内在的技术价值并不见得必然转换成商业价值; - The Impact of Information Asymmetries and Transaction Cost on the Choice of Divestiture Alternatives
信息不对称和交易成本视角的资产剥离方式选择研究 - In venture capital contract, uncertainty, informational asymmetries and agency cost are the most important issues.
在风险投资契约中,不确定性、信息不对称和代理费用是最主要的三个问题。 - Information asymmetries, the cornerstone of modern economics, also had no place: they could arise only if individuals suffered from acute schizophrenia, an assumption incompatible with another of the favoured assumptions, full rationality.
作为现代经济学基石的信息不对称假说也无处立足:它们只有在个体患上严重的精神分裂症时才会成立。这种假设与人们所青睐的完全理性假说是矛盾的。 - This paper introduces the basic content of information asymmetry theory and comments on the theory of information asymmetries.
介绍了信息不对称理论的基本内容,并对信息不对称理论进行了评述。 - This paper has analyzed venture capitalist how to minimum to select optimal capital structure to reduce informational asymmetries;
本文分析了风险资本家如何在风险企业退出阶段,选择最优资本结构使得信息不对称程度最小; - Although humans appear to be symmetric, there are a surprising number of asymmetries in their bodies.
人虽然看上去是对称的,但人体内实际上不对称的地方多得惊人。 - In turn through social networks trust could reduce transaction costs and information asymmetries, thereby reducing adverse selection and moral hazard from occurring.
进而可以通过社会网络中的信任减少交易费用和信息的不对称性,从而可以减少逆向选择和道德风险的发生。 - Now, Europe is about asymmetries in power and fear for the future.
现在,欧洲代表着权力的不对称和对未来的担忧。 - From this, it follows that public firms should have greater incentives to manage earnings to reduce possible information asymmetries.
从这,可知公众的公司应该有较棒的激励处理所得减少可能的数据不均匀。
