中国互联网保险发展历程、风险与路径探寻

互联网保险作为互联网技术与保险产业的深度融合产物,其本质是创新保险生产方式,通过保险经营与服务的改善,以达到提升保险生产和服务效率的目标.互联网保险凭借保险行业理念创新、营销和商业模式创新、产品和个性化服务创新以及渠道建设拓展创新重塑了保险产业的核心竞争力.然而中国传统保险产业发展的滞后已经远落后于社会大众需求,因此在传统保险互联网化转型过程中将面临法律存在非完备性所导致的法律风险、技术安全风险、金融风险以及系统性风险等问题.对此需要加强对互联网保险监管机制、侧重产品和服务的创新、建立混合型人才储备推动中国互联网保险行业的健康发展.     

Close relationship with the supervisor may impede employee creativity by suppressing vertical task conflict

Leader‐member exchange as a form of supportive leadership is expected to foster employee creativity. However, empirical evidence suggested this relationship is complex. This study attempts to address this complexity by proposing and testing a curvilinear mechanism, which attenuates the overall positive effect of LMX on creativity by transmitting a curvilinear indirect effect via vertical task conflict. Results drawn from a sample of 276 supervisor–subordinate dyads provided support for the hypothesized curvilinear indirect effect. Specifically, LMX was found to negatively influence employee creativity by suppressing vertical task conflict for subordinates in high‐quality LMX relationships, while the indirect effect was not significant for subordinates in low‐quality LMX relationships.     

The influencing factors of satisfaction and lending intention in online lending investment: an empirical study based on the Chinese market

This paper develops a platform‐based influencing factors model which considers value perception, risk prevention measure, non‐default experience, trust and incentive gap, to better examine the impact of platforms on investors’ satisfaction and lending intention based on the Chinese market. The results reveal that the first four factors positively influence the satisfaction of the investors, while the incentive gap has a negative impact, and there is a positive association between investors’ satisfaction and lending intention. Some specific features of China’s online lending market are identified, which provides valuable insights for online lending platforms and the government.     

Crowdsourcing-based semantic relation recognition for natural language questions over RDF data

ABSTRACT

Natural language query systems over RDF data need to rely on the semantic relations in query. First, we propose the new crowdsourcing model that used to produce semantic relations dataset. The model not only inherits completeness of the iterative model and accuracy of the parallel model, but also saves human resources. Second, we mine the rules of semantic relation recognition from the correlations between dependency structures and semantic relations. Third, we propose an algorithm of semantic relation recognition for natural language query over RDF data, and experiments demonstrate that it can recognize more semantic relations than existing methods.     

税收规避、审计师反应与公司财务报告质量——基于加速折旧的自然实验

本文将加速折旧政策作为激励实体经济合法税收规避的自然实验场景,基于避税代理观与权衡观考察税收规避对公司财务报告质量的影响.研究发现,加速折旧政策颁布后,企业应计盈余管理得到显著抑制.上述影响主要发生在高避税成本(实际税率高、财务杠杆大)的企业,支持了避税权衡观;其次,加速折旧政策还提升了外部审计的监督质量,但对财务报告的监督效果在两权分离度高的企业被削弱,反映出避税代理观部分成立;最后,加速折旧政策刺激了公司真实盈余管理活动,导致权益资本成本和财务风险上升.     

The Effects of Search-Related and Purchase-Related Mobile App Additions on Retailers’ Shareholder Wealth: The Roles of Firm Size,Product Category,and Customer Segment

Mobile channel additions have been shown to increase consumer-brand relationships, brand satisfaction towards and overall purchasing from a retailer, but what is less apparent is whether shareholders are fully rewarded for retailers’ mobile channel additions. Results from an event study on 115 announcements relating to mobile app additions of publicly traded U.S. retail firms between 2009 and 2016 indicate that the stock market responds generally positively to mobile app additions, but specifically to the two mobile app addition types. Stock market responses to search-related and purchase-related app additions are moderated by firm size, product category, and target customer age. For announcements of search-related apps, the market responds more positively to product retailers than to service retailers, and to small firms than large ones. For announcements of purchase-related apps, the market responds less positively to firms that target younger customers than firms who do not especially target them.     

Sparse Signals in the Cross‐Section of Returns

This paper applies the Least Absolute Shrinkage and Selection Operator (LASSO) to make rolling one‐minute‐ahead return forecasts using the entire cross‐section of lagged returns as candidate predictors. The LASSO increases both out‐of‐sample fit and forecast‐implied Sharpe ratios. This out‐of‐sample success comes from identifying predictors that are unexpected, short‐lived, and sparse. Although the LASSO uses a statistical rule rather than economic intuition to identify predictors, the predictors it identifies are nevertheless associated with economically meaningful events: the LASSO tends to identify as predictors stocks with news about fundamentals.     

钢铁工业与现代服务业融合发展的案例分析

简要叙述了钢铁工业与现代服务业开展“两业融合”的重要意义,分别以宝钢、河钢为代表的国内钢铁企业和以浦项、蒂森克虏伯为代表的国外钢铁企业为例,对钢铁企业开展两业融合的做法进行了分析,最后针对两业融合发展提出了几点建议。     

基于混合K-中心点的Web客户聚类

通过对Web日志文件进行分析，该文提出了一种改进的K-中心点聚类算法对Wweb用户的行为进行分析的方法。该算法利用模糊相似度，并模仿遗传算法中计算适应度思想，另加了一层循环迭代，每次比较适应度，保留最佳适应度，使之有较好的性能，改进了其易局部最优化的缺点。     

浅谈我国银行保险的发展

伴随着加入世贸步伐的加快，中国金融业真正面临着国际化竞争所带来的巨大机遇和挑战。正是在这样的大背景下，最近一段时期，各保险公司纷纷与银行达成合作意向，合作内容包括代理保险、提供全方位的金融服务、资金网络清算、基本客户群的共建、金融创新、信息交流等方面。同时，各家保险公司的各种产品在银行和邮政的柜台上摆开了战场，一种全新的金融服务——银行保险，进入了人们的视野。这正是企业之间强强联合、优势互补、资源共享、以促进市场开拓和业务创新的必由之路，它必将推动我国保险业与国际保险业的接轨和新型业务产品的发展。