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91.
《Socio》2019
Ratio type financial indicators are the most popular explanatory variables in bankruptcy prediction models. These measures often exhibit heavily skewed distribution because of the presence of outliers. In the absence of clear definition of outliers, ad hoc approaches can be found in the literature for identifying and handling extreme values. However, it is not clear how these different approaches can affect the predictive power of models. There seems to be consensus in the literature on the necessity of handling outliers, at the same time, it is not clear how to define extreme values to be handled in order to maximize the predictive power of models. There are two possible ways to reduce the bias originating from outliers: omission and winsorization. Since the first approach has been examined previously in the literature, we turn our attention to the latter. We applied the most popular classification methodologies in this field: discriminant analysis, logistic regression, decision trees (CHAID and CART) and neural networks (multilayer perceptron). We assessed the predictive power of models in the framework of tenfold stratified crossvalidation and area under the ROC curve. We analyzed the effect of winsorization at 1, 3 and 5% and at 2 and 3 standard deviations, furthermore we discretized the range of each variable by the CHAID method and used the ordinal measures so obtained instead of the original financial ratios. We found that this latter data preprocessing approach is the most effective in the case of our dataset. In order to check the robustness of our results, we carried out the same empirical research on the publicly available Polish bankruptcy dataset from the UCI Machine Learning Repository. We obtained very similar results on both datasets, which indicates that the CHAID-based categorization of financial ratios is an effective way of handling outliers with respect to the predictive performance of bankruptcy prediction models. 相似文献
92.
上市公司财务困境的回归预测 总被引：1，自引：0，他引：1
在合理选择财务指标的基础上,利用因子分析计算个体综合因子得分,并在综合因子得分与财务指标之间建立回归预测模型;最后,择取2003年“财务状况异常”的上市公司来检验模型的合理性,证明了模型对陷入财务困境的公司有较高的预测准确性。判断财务困境的回归模型引入和其较方便的操作性,可以使证券市场及时发现财务失败公司,市场监管者可以减少公司违规、违法的监督成本,证券投资者可以缩小择股范围、加大投资的准确性。同时,通过上市来融资的股份公司也可以利用其预警作用,提前采取对策,防止出现因财务进一步恶化而被退市的命运。 相似文献
93.
流动性过剩与股票价格重估 总被引：1，自引：0，他引：1
在固定汇率与资本管制框架下,剩余储蓄的持续增加必然导致流动性过剩,对股票市场而言,只有当实体经济持续的剩余储蓄增加引起流动性过剩时,才会推动股票市场估值中枢的剧烈抬升.对近期经济指标的分析表明,股票市场重估将会持续下去,而货币政策紧缩引起的投资下降会进一步扩大剩余储蓄,加快重估的进程. 相似文献
94.
Babajide Fowowe 《International Review of Applied Economics》2015,29(1):1-14
The relationship between stock prices and exchange rates has continued to generate interest from both the academia and financial industry players for many years. This study conducts an empirical investigation into the relationship between stock prices and exchange rates for the two largest economies in Sub-Saharan Africa – South Africa and Nigeria. Our methodology accounts for structural breaks in the data and the long-run relationship between stock and foreign exchange markets. The results of multivariate causality tests with structural breaks showed that causality runs from exchange rates to domestic stock prices in Nigeria (flow channel) while in South Africa, no causality exists between domestic stock prices and exchange rates. The results also reveal that there is causality from the London stock market to both countries’ stock markets, thus showing that international stock markets are driving both the Nigerian and South African stock markets. 相似文献
95.
Compositional data analysis and zeros in micro data 总被引：2，自引：0，他引：2
The application of compositional data analysis methods in economics has some attraction. The methodology relies upon the use of 'log-ratios' in the statistical analysis. Such an approach is not possible when the data to be analysed include observations where the observed budget share is zero. We, therefore, consider and extend the methods of compositional data analysis in the situation where the data to be analysed include observations where the observed budget share is zero. The modified compositional data methods are discussed both in statistical terms and through potential economic interpretations of the method. Further, the modified methodology is applied to the 1988-89 Australian Household Expenditure Survey yielding estimates for a system of Engel curves. 相似文献
96.
97.
This study investigates the impact of country‐level environmental performance and national culture on the stock price crash risk of renewable energy firms. Employing a large sample of 626 renewable energy firms across 31 countries, we find a significant nonlinear relationship between country‐level environmental performance and crash risk. National culture dimensions are found to strongly predict the crash risk of renewable energy firms, particularly after the global financial crisis. On the contrary, national culture dimensions and environmental policies are observed to not exert any significance in explaining the crash risk of fossil fuel firms. Our results are robust with respect to alternative measures of stock price crash risk and the endogeneity of national culture dimensions. Overall, the findings of this paper contribute to the environmental economics literature by providing new evidence regarding the role of societal and environmental factors in explaining the stock price crash risk of energy firms. 相似文献
98.
随着我国近几年来经济高速增长,产业结构的不断优化升级,在国际贸易问题上也遇到了许多新的问题。本文将以我国近年来我国制成品贸易以及我国商品贸易条件为研究对象,分析现阶段我国制成品贸易受商品贸易条件恶化和收入贸易条件变化改善的影响,同时对未来两年的商品贸易条件和收入贸易条件以及制成品的出口变动情况进行分析与预测。 相似文献
99.
分析了安全库存概念及其计算方法。对分散模式的安全库存与集中模式的安全库存进行了比较,探讨了集中储存对安全库存的影响机理。指出分散模式下总安全库存和集中模式总安全库存的关系是n和!n的关系,即所谓平方根定律。 相似文献
100.
货币供应量对我国股票市场影响的实证研究 总被引：1，自引：0，他引：1
本文将货币供应量与沪深股指作为代表变量纳入货币金融系统内进行分析,旨在借鉴较为成熟的金融计量方法实证分析货币供应量对于股票价格指数的互动情况,建立适当的VAR模型以及利用VAR模型进行分析,同时对数据进行乔纳森检验(Johansen检验)和格兰杰(Granger)因果检验,并在此基础上分析货币供应量作为货币政策中介工具作用于股票市场的可控性和可测性,从而研究货币供应量与股票价格指数之间的相关关系,得出货币供应量对于股票市场的一般影响机制,指出我国货币政策的缺陷和存在的问题,提出相应的应对策略与建议。 相似文献