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基于逻辑回归的金融风投评分卡模型实现 被引量:9
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作者 边玉宁 陆利坤 +2 位作者 李业丽 曾庆涛 孙彦雄 《计算机科学》 CSCD 北大核心 2020年第S02期116-118,共3页
文以当前银行信贷业务中客户违约问题为出发点,将客户违约率和信贷评分卡分值的关系合理映射。运用逻辑回归建立评分卡预测模型,使用梯度下降算法来实现银行风险投资中客户评分卡的构建。首先加载数据并对数据进行分析,接着划分数据集,... 文以当前银行信贷业务中客户违约问题为出发点,将客户违约率和信贷评分卡分值的关系合理映射。运用逻辑回归建立评分卡预测模型,使用梯度下降算法来实现银行风险投资中客户评分卡的构建。首先加载数据并对数据进行分析,接着划分数据集,并使用跨时间验证集作为模型最后的验证。最后使用KS值和AOC曲线双向评价模型的稳定性。实验证明,采用所提方法构建的评分卡模型具有较好的稳定性。 展开更多
关键词 金融风投 逻辑回归 机器学习 评分卡
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Investment risk analysis of China's wind power industry based on pre-assessment matrix 被引量:3
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作者 Yang Yong Jiang Dongmei +2 位作者 Geng Jie Fan Hua Zhang Fashu 《Ecological Economy》 2009年第4期323-340,共18页
Wind energy is a clean and sustainable energy, and wind power does not rely on fossil fuels. So there is no fuel price risk, and it, of course, does not include the environmental costs, such as carbon emissions. Becau... Wind energy is a clean and sustainable energy, and wind power does not rely on fossil fuels. So there is no fuel price risk, and it, of course, does not include the environmental costs, such as carbon emissions. Because of these unique advantages, wind power has gradually become an important part of the strategy of sustainable development in China. Now with the growing voices on global greenhouse gas emission reduction, and as a clean and efficient energy, wind power has huge potential in combating climate change, energy security pressures and the needs for energy. Wind power in China began to develop from the 1980s. In the first 20 years, the speed of development was slow; but since 2004, it has had an extremely rapid growth.This paper, in order to study the development mechanism of China&amp;amp;amp;#39;s wind power industry, investigated and analyzed the status quo of wind power industry in China, and then found that (1) the development trend of wind power industry in China appears exponential growth; (2) China&amp;amp;amp;#39;s installed capacity of wind power is still smaller than that os some other countries; (3) new subsidy policies bring developing opportunities to wind power industry in China; (4) the sectors of wind power industry are in unbalanced growing; (5) the owners of proposed wind farms are too optimistic though the built wind farm had many problems. In addition, by using the methodology of Game Theory, this paper has also constructed the matrix of pre-assessing risks of China&amp;amp;amp;#39;s wind power industry to further discuss the potential risk factors within China&amp;amp;amp;#39;s wind power industry as risk factors of wind farm construction, risk factors of production of wind turbines, risk factors of parts and components manufacturing industry under risk indicators like R&amp;amp;amp;amp;D, patents, the domestic policy, the international policy, the quality of products and the market regulation, in order to provide a scientific assessment and self-assessment tool for investors or implementers, and also to promote the further development of the wind power industry. 展开更多
关键词 China's wind power Development model Risk pre-assessment of investment
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Decision-making of Exit in Venture Capital: Real Options
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作者 Chenyu Zhang Weijia Wu Xuan Li Jing Zhao 《Journal of Systems Science and Information》 2007年第2期183-189,共7页
Two important issues in exit of venture capital, exit timing and exit approaches, are analyzed. Based on the real options theory and the contingent claims analysis, it develops approach-selecting models in terms of Tr... Two important issues in exit of venture capital, exit timing and exit approaches, are analyzed. Based on the real options theory and the contingent claims analysis, it develops approach-selecting models in terms of Trade-sales and Initial Public Offers and corresponding timing models. Furthermore, thresholds of cash flows as well as value of real options are derived. Finally, decision criteria of exit of venture capital are obtained and empirical evidence shows that the criteria agree with the real investment activities very well. 展开更多
关键词 decision Making venture capital real options
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Related the Securities Risk to Time by Using Energy Measuring
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作者 Xinshu Tu 《Journal of Systems Science and Information》 2007年第2期175-182,共8页
Since Harry M Markowitz published 'portfolio Selection' (1952), financial economists have proposed many methods to measure risk such as variant, downside-variant, average absolute deviation, maximum deviation, VaR... Since Harry M Markowitz published 'portfolio Selection' (1952), financial economists have proposed many methods to measure risk such as variant, downside-variant, average absolute deviation, maximum deviation, VaR and so on. However, these methods share a common limitation, which only consider moment of the price, not consider the influence of exchange quantity. In common situation, these methods and their financial theory models can help investors prevent and scatter the risks effectively, but they are no effective to prevent the financial crisis such as Southeast Asia financial in1997 and LTCM crisis in 1998. In this paper, a new method of measuring risk called energy-risk has been proposed. The aim to this method is to respond the usual risk as well as the risk caused by unexpected event and to prevent the risks under any circumstances effectively. 展开更多
关键词 ENERGY RISK VELOCITY MASS
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