基于持卡消费行为的客户细分模型研究

客户细分模型是指选择一定的细分变量,按照一定的划分标准对客户进行分类的方法.客户细分的目的是为了更好地了解客户并提供个性化服务.本文使用的样本数据为银行卡消费数据,选择消费金额和消费金额差异率为细分维度,建立了银行卡持卡消费客户细分模型.     

油井采出液处理效果分析及改进措施研究

通过对油站和污水站的化学成分分析，找出了电脱水器跳闸的原因：由于污水中的一些成分导致腐蚀，腐蚀产生的硫化铁和铁颗粒，随着油水混合液在管线中运移，在电脱水器上越积越厚，致使电脱水器上导电率增高，电脱水器跳闸。提出了改善注入水水质，减缓腐蚀的有利措施。     

跨国公司对我国汽车合资企业控制分析

跨国汽车公司以国际直接投资(FDI)方式建立合资企业是我国汽车产业利用外资的主要形式.在实际运行中,股权比例的安排并不等于实际控制权的分配,合资企业对合资双方相关资源依赖性的强弱决定了合资双方的实际控制权.跨国汽车公司借助技术垄断优势,通过双方合资时的约定或日后实际运作中的设计安排,以非股权约束的方式来实现对合资企业的实际控制.     

个人理财市场细分及客户群差异性分析

目前我国商业银行个人理财业务尚处于初级阶段,个人理财市场的细分还很简单,尚没有进行更深入的、多层次的分析。针对这一情况,本文借鉴“家庭生命周期”的分析思路,选取人口统计变量和家庭生命周期变量等综合指标作为客户细分变量,对给定的调查样本实施市场细分。为此,本文利用方差分析探讨了一般客户、重要客户、未来潜力客户和战略客户4组客户理财个性的差异性以及对银行理财服务质量期望的差异性。同时,还分析这组客户对主要理财工具、理财产品的需求特点,并在市场细分的基础上制定出4差异化的、有针对性的营销策略。     

资本结构行业差异及其影响因素的实证分析--来自我国上市公司的经验数据

通过对我国上市公司资本结构行业差异及其影响因素进行的实证分析发现,我国上市公司不同行业门类之间的资本结构具有显著性差异;同一行业的资本结构具有稳定性,资本结构行业间的差异具有稳定性;不同行业资本结构的影响因素是有差异的,同一因素对各行业的影响力度也不一样;从各假设条件的检验结果来看,有些假设在多数行业得到了证实,但也有一些假设被一定的经验数据所证伪或没有得到支持.     

A novel cluster HAR-type model for forecasting realized volatility

This paper proposes a cluster HAR-type model that adopts the hierarchical clustering technique to form the cascade of heterogeneous volatility components. In contrast to the conventional HAR-type models, the proposed cluster models are based on the relevant lagged volatilities selected by the cluster group Lasso. Our simulation evidence suggests that the cluster group Lasso dominates other alternatives in terms of variable screening and that the cluster HAR serves as the top performer in forecasting the future realized volatility. The forecasting superiority of the cluster models are also demonstrated in an empirical application where the highest forecasting accuracy tends to be achieved by separating the jumps from the continuous sample path volatility process.     

Efficiency in the provision of social care for older people. A three-stage Data Envelopment Analysis using self-reported quality of life

Using a three-stage data envelopment analysis approach, this paper explores efficiency in the provision of social care for older people in 148 English Councils in 2009/10. Departing from D'Amico and Fernández (2012) [31] our measure of efficiency is inscribed within the production of welfare framework and based on self-reported quality of life of recipients of the services. Our results indicate a high level of efficiency, but once we control for the effects of a number of environmental variables, we found that more stringent eligibility criteria and higher assessment costs are negatively associated with the efficiency in the provision of social services.     

Barriers to the investment in the Concentrated Solar Power sector in Morocco: A foresight approach using the Cross Impact Analysis for a large number of events

The Scenario Analysis methods have often been used by policy makers as an instrument to manage uncertainty and to support the shaping of long-term economy policies. In this research, we apply Scenario Analysis in order to identify the barriers affecting the decision to invest in the Concentrated Solar Power (CSP) sector in Morocco. Our results aim at facilitating the process of defining different paths in strategic political and policy actions. Using data from a survey on a panel of experts, the Cross Impact Analysis (CIA) and the Cross Impact Matrix System (SMIC) techniques are applied. The advantage of these techniques is that they allow including in the analysis the interlinkages between the events that will define the future scenarios. However, their limitation is that the number of events analyzed cannot be too high since the information collected from the experts increases exponentially according to the number of events introduced. We thus expand our analysis with a new methodological approach, combining the use of prospective and statistics techniques. This approach allows addressing the mentioned limitation and applying these techniques, initially restricted to 6 events in its common application, to a large number of events. The results show that uncertainty and informality would be key factors in promoting the arrival of companies in this sector. Additionally, regarding companies that already have a presence in Morocco’s renewable energy sector, an increase in activity would be achieved through improvements in the easing of financial and legal barriers.     

Information transmission between large shareholders and stock volatility

Does information transmission between large shareholders exacerbate stock volatility or reduce stock volatility? In this study, based on the common shareholding data in the Chinese stock market from 2007 to 2017, we establish the shareholder’s coshareholding network, and use the weighted network clustering coefficient to measure the information transmission speed. Moreover, we investigate the impact of information transmission speed on stock volatility. The empirical results show that a nonlinear U-shaped relationship exists between information transmission speed and stock volatility. The findings are robust to the inclusion of other determinants of stock volatility identified in the literature. Finally, we verify the existence of private information interaction in the coshareholding network.