A gradient boosting decision tree approach for insider trading identification: An empirical model evaluation of China stock market

Insider trading is a kind of criminal behavior in stock market by using nonpublic information. In recent years, it has become the major illegal activity in China’s stock market. In this study, a combination approach of GBDT (Gradient Boosting Decision Tree) and DE (Differential Evolution) is proposed to identify insider trading activities by using data of relevant indicators. First, insider trading samples occurred from year 2007 to 2017 and corresponding non-insider trading samples are collected. Next, the proposed method is trained by the GBDT, and initial parameters of the GBDT are optimized by the DE. Finally, out-of-samples are classified by the trained GBDT–DE model and its performances are evaluated. The experiment results show that our proposed method performed the best for insider trading identification under time window length of ninety days, indicating the relevant indicators under 90-days time window length are relatively more useful. Additionally, under all three time window lengths, relative importance result shows that several indicators are consistently crucial for insider trading identification. Furthermore, the proposed approach significantly outperforms other benchmark methods, demonstrating that it could be applied as an intelligent system to improve identification accuracy and efficiency for insider trading regulation in China stock market.     

Optimal sizing of wind-hydrogen system considering hydrogen demand and trading modes

In order to make full use of renewable energy and improve the utilization of wind power, a new joint optimization scheme of the wind-hydrogen system coupled with transmission project is proposed in this paper, in which wind power is reasonably allocated for grid integration and for hydrogen production. Aiming at maximize the annul wind-hydrogen system benefit, the optimal sizes of wind power transmission project and hydrogen system are obtained under different hydrogen production modes, hydrogen trading modes and hydrogen demand levels. In addition, the penalty cost of wind curtailment and hydrogen supply shortage and the system environmental benefits are taken into account. Results show: during the long-term of insufficient of wind power, it is better to produce hydrogen using wind power and grid-assisted power to avoid hydrogen supply shortage; considering the future increase of hydrogen demand, the optimal supply number of hydrogen refueling stations in the wind-hydrogen system is two. Also, the low utilization of fuel cells means that the benefit from regeneration cannot offset the high cost, which leads to the abnegation of fuel cells in the wind-hydrogen system.     

对招标投标法的理解与思考

介绍了招标投标法法律规范的三个层次,分三个阶段论述了我国招标投标的发展过程,探讨了招标投标发展的必然趋势,对正确理解《招标投标法》具有一定的指导作用。     

FDI对于我国进出口贸易结构影响的实证分析

采用1980年到2006年间FDI和贸易数据,对FDI对于我国进出口贸易总体结构、FDI分行业流入对我国贸易结构以及FDI对于我国贸易产业的竞争力进行了实证分析,得出了FDI对于促进我国进出口贸易结构、贸易产业竞争力有明显促进的量化结论。     

零机械能输出感应电机

传统电机是机-电能量转换,损耗与温升是电机设计时需要削弱和避免的问题。该文从传统电机损耗与温升出发,提出了用于加热的零机械能输出感应电机。利用绕组所产生的径向磁场在实心结构的定子和转子铁心中感应产生涡流,将输入的电能全部转化为热能,具有定子、转子双边加热的特点。其独特的双边加热效果可解决挤塑类设备旋转螺杆加热瓶颈问题。建立了系统等效模型,给出了电磁功率解析表达式,采用有限元法分析了系统涡流分布与铁心端部效应。对样机进行加热实验,结果证明该种电机与传统线圈缠绕式电磁加热相比,具有节能高效、预热时间短、径向温差小等优点。     

基于系统动力学的分布式可再生能源激励机制分析

国家和地方的清洁能源发展政策促进了清洁能源装机容量的井喷式增长,碳交易和绿色证书机制虽然都可以对清洁能源发展起到促进作用,但对于分布式和集中式的促进作用则显示出较大的不同。在分析证书价格传导过程的基础上,采用系统动力学方法从集中式可再生能源参与的批发市场和分布式可再生能源参与的零售市场两个层面进行建模,建立了碳排放权交易市场、绿色证书交易市场和电力市场三个宏观市场间的交互模型和包含分布式可再生能源的配电网模型。算例仿真了两种机制下集中式可再生能源、分布式可再生能源的发展轨迹,讨论了碳交易和绿色证书机制的价格设置对分布式可再生能源发展的影响,验证了提出的效益分享机制对分布式可再生能源的促进作用。     

面向能源互联网的微平衡调度交易设计

能源互联网旨在突破化石能源的制约,整合多种能源综合互补,探索能源生产与消费的发展模式。文中将电能作为能源系统的主要能量支撑,首先在系统协调分解与帕累托最优的经济学基础上,表征了能源互联网微平衡遵循的经济学理论;进而对比了传统集中调度机制,阐释了能源互联网的微平衡调度机制,并对微平衡交易主体、交易模式、交易机制进行了分析;最后建立了能源互联网交易激励分摊机制,协调能源互联网的调度交易计划与区域各方利益关系。     

新一代本币交易系统的综合性能测试实践

为测试多市场金融交易平台的性能,提出一种基于LoadRunner测试平台的综合性能测方法,通过搭建模拟测试环境和软件模拟大批量在线并发用户等方法,严格按照性能测试实施流程,实现了对交易平台的系统容量、系统处理能力、客户端响应时间、系统可靠性和安全性等指标的测试,取得了较好的验证和评估效果。     

广东电力市场交易系统设计与实现

为落实广东省政府关于深化电力体制改革的有关部署,规范电力市场交易管理,扩大电力大用户与发电企业直接交易电量规模,设计并实现了广东电力市场交易系统。该系统的设计以确保广东电力市场交易工作执行的公平性、交易运行的安全性、稳定性和经济性为目标,应用先进、安全的信息技术手段保证系统运行的高性能与安全性。该系统实现了对广东大用户直购电客户管理、双边协商交易、月度集中竞争交易、合同签订及结算管理等全方位的线上技术支持。自该系统投运以来,运行效果显著,已经成为广东电力交易中心不可或缺的技术支持平台。