金融视角下的中国崛起：概念、条件和战略

通过对历史和相关理论的梳理会发现,金融是世界强国的重要支柱和必要条件, 是成为世界强国的必由之路,但是在金融和世界强国的关系方面,研究成果并不多。完善的金 融体系不仅通过提供有效信息与风险分散手段,提高了金融活动的参与意愿,促进了资本积累 和生产率提高,而且,金融也对增强国家软实力有重要意义,强大的金融体系能够有效整合国 际资源,是当今世界强国的必备条件之一。因此,我国实现“强国梦”的过程中,要高度重视 金融的巨大作用。     

An Approach to Security for Unstructured Big Data

Security of Big Data is a huge concern. In a broad sense, Big Data contains two types of data: structured and unstructured. Providing security to unstructured data is more difficult than providing security to structured data. In this paper, we have developed an approach to provide adequate security to unstructured data by considering types of data and their sensitivity levels. We have reviewed the different analytics methods of Big Data to build nodes of different types of data. Each type of data has been classified to provide adequate security and enhance the overhead of the security system. To provide security to a data node, and a security suite has been designed by incorporating different security algorithms. Those security algorithms collectively form a security suite which has been interfaced with the data node. Information on data sensitivity has been collected through a survey. We have shown through several experiments on multiple computer systems with varied configurations that data classification with respect to sensitivity levels enhances the performance of the system. The experimental results show how and in what amount the designed security suite reduces overhead and increases security simultaneously.     

The contextual relevance effect on financial advertising

The contextual relevance effect is an important factor for the effectiveness of financial services advertising that corresponds to the message effects such as ad recall (R_AD), perceived contextual relevance (PCR), message involvement (MI) and attitude towards the ad (A_AD), created during the process. Thus, this study examines whether the contextual relevance effect increases R_AD, PCR, MI and A_AD. The results reveal that the contextual relevance effect increases R_AD, PCR, MI and A_AD. Moreover, MI mediates PCR on A_AD. Implications based on the findings demonstrate the importance of contextual relevance as a metric for financial services advertising effectiveness.     

Late for a very important date: financial reporting and audit implications of late 10-K filings

Delays in financial reports often reflect issues related to period-end accounting and audit processes. We investigate the impact of filing delays in connection with auditor characteristics on the quality of financial statements in a sample of firms that filed Form 10-K after the statutory due date. We find that late filing firms are associated with lower financial reporting quality compared to timely filing firms matched by propensity scores, where financial reporting quality is measured by the absolute value of performance-matched discretionary accruals and the probability of a late filing being restated in subsequent periods. Furthermore, we demonstrate that the adverse consequences of late filings can be largely mitigated by having a Big 4 auditor. The differential audit quality stems primarily from Big 4 auditors in large offices and is more pronounced when an auditor may need to draw on additional resources in a limited period.     

新常态下的创新驱动——对创新服务体系的认识

党 的十八届五中全会报告指出，坚持创新发展，必须把创新摆在国家发展全局的核心位置，不 断推进理论创新、制度创新、科技创新、文化创新等各方面创新。我国经济发展进入了新常 态阶段，认识新常态、适应新常态、引领新常态，是当前和今后一个时期我国经济发展的大 逻辑。改革开放30年来，我国的创新能力有了大幅度提高，但是仍存在影响创新能力发展的 诸多障碍，尤其是创新服务体系还严重缺失。我国在加快科技与经济融合的进程中，需要重 视创新服务体系建设，把发展基点放在创新上，形成促进创新的体制架构。在大众创业、万 众创新的大形势下，打造创新创业集成服务商，支持创新平台、孵化载体建设，促进专业创 新服务机构的发展。     

Behavioral theories and the pricing of IPOs’ discretionary current accruals

The main purpose of this paper is to provide additional evidence about the effect of discretionary current accruals on the pricing of IPOs. This paper seeks to discriminate between two alternative explanations for the prior findings: (1) behavioral biases coupled with limited arbitrage; and (2) the sample- and period-specific nature of the results in the prior literature. The IPOs from 1962 to 1998 were used to obtain the following results. First, there was not a negative association observed between discretionary current accruals and subsequent price performance for the 1926–1971 period. Second, analysis reveals that the pattern of cross-sectional evidence is inconsistent with the predictions made by behavioral theories. Third, in the 1972–1998 period, evidence of predictable negative performance attributable to IPO discretionary current accruals is limited to NASDAQ firms. These findings are difficult to reconcile with the explanation of behavioral biases coupled with limited arbitrage.     

Monte Carlo theoretical trials of methods for assessing statistical significance for differences between adjusted odds ratios

Odds are generally defined as the number of successes divided by the number of failures in a given number of trials. An odds ratio is the ratio of one odds divided by another. Odds ratios can be adjusted to reflect associations with the outcome independently of the influence of associations with other variables. These are adjusted odds ratios. There are several well known methods for comparing odds ratios and testing for statistically significant differences between them. Analogous methods for adjusted odds ratios are not well known or well documented. One method for comparing adjusted odds ratios is explained by Hosmer and Lemeshow (Applied logistic regression, 2000). This method is used for the odds ratios for two variables from the same data set. The purpose of this analysis was to apply this method to a different situation: comparing odds ratios for the same variable from two different data sets. Monte Carlo trials were used to assess the performance of the method and these indicated the method performed well.