民族地区农产品批发市场竞争力评价研究

参与主体、设施与服务、商品、环境是影响民族地区农产品批发市场的竞争力因素.通过构建民族地区农产品批发市场竞争力评价指标体系,采用模糊综合评价方法,结合实证分析,提出培育壮大市场主体,加快农产品批发市场发展;完善农产品市场信息系统,加强民族地区商品市场一体化建设;发挥政府宏观调控职能,规范农产品市场建设与管理等提升民族地区农产品市场竞争力的措施.     

全球股票市场间风险传染的测度、监管及预警

近年来,伴随金融一体化程度的加深,全球各股票市场间风险传染的动态复杂性加剧,其准确测度、高效监管及实时预警已成为优先事项。本研究选取全球21个代表性股票市场作为分析样本,首先基于广义向量自回归模型的滚动估计准确测度其间风险动态传染的高维网络序列,进一步借由矩阵值因子模型来稳健收缩上述序列,以探究其潜在动态核心结构,从而实现高效监管。最后,通过向量自回归模型的预测功能实现对全球股票市场间风险传染的实时预警。研究表明,全球股票市场间风险传染具有时变性,其监管与预警可通过少数与地理区域高度相关的风险区域间的动态传染关系及内部的市场构成来刻画。与此同时,我们发现中国内地等新兴市场的重要地位逐渐凸显。本文研究结论可为有效防范与化解金融风险提供有益参考。     

涨跌停板制度对期货市场价格发现过程及波动性的影响--基于上海期货交易所的实证研究

本文通过检验在出现涨跌停板之后一个交易日的期货价格及其波动性的变化情况,研究了涨跌停板制度对上海期货交易所期货价格变动的影响。研究结果显示,对不同的期货品种,涨跌停板制度的影响存在一定的差异,但总体而言,涨跌停板制度并没有起到防范价格过度反应和降低市场波动性的作用。相反,在一定程度上延缓了期货市场价格发现功能的发挥,增大了市场的波动性。     

海外情境下本土后发企业颠覆性创新演化路径研究——价值创新视角

近年来，我国后发企业在海外市场面临着政策限制、市场挤压和技术竞争等挑战。颠覆性创新作为管理实践中重要的创新理论与分析工具，价值创新为进一步探索颠覆性创新技术演化与市场侵入提供了新的着眼点，从而为海外情境下后发企业突围提供了重要理论支持。基于颠覆性创新和价值创新相关理论研究，采用扎根理论并借助NVivo12对一加手机案例进行自下而上编码，归纳其演化路径。结果发现：本土后发企业在海外市场的颠覆性创新演化模型主要由4个主范畴构成，其中异质性需求定位是颠覆性创新价值主张的前提，用户中心化技术创新是价值创造的源泉，融入文化的商业化创新是价值传递的手段，市场侵蚀是价值实现的终端。结论可拓展颠覆性创新理论情境，对本土后发企业开拓海外市场具有实践价值。     

The European Commission's approach to mergers involving software-based platforms: Towards a better understanding of platform power

The European Commission’s digital single market policies are increasingly concerned with the impact of so-called ‘platforms’ on competition in the internal market. Whereas the European Commission acknowledges the contributions of platform companies to innovation, it also sees actual and potential damages occurring from their powerful position. As such, the European Commission aims to strengthen the enforcement of its competition law rules in this area. The main research question is how the European Commission has been evaluating the competitive effects of platforms under merger control and whether its approach is adequate to address the manifold concerns related to platforms and competition. Based on a case study analysis, we conclude that the European Commission (1) recognises the platform circumstance, their essential intermediary role in the digital industry and the importance of maintaining fair competition; (2) its analysis has been slowly evolving becoming more granular; (3) platforms’ behaviour and not their size per se is most often the central concern; (4) the proposed Digital Services Act and Digital Markets Act packages tackle platform concerns identified in the European Commission’s ex-ante analysis, signalling that its analysis seems to have inspired their creation.     

GDP manipulation,political incentives,and earnings management

Political decisions often affect macroeconomic activity, which triggers effects on corporate decisions. Using satellite night light data to proxy for economic activity, we show that manipulation of GDP figures is associated with earnings management by local companies, especially when local politicians face more promotion pressure. We show that local politicians seeking career advancement exchange favors with local companies and pressure them to inflate earnings to increase local GDP numbers. Our findings illustrate how the macro-level political agenda and GDP manipulation can affect micro-level corporate earnings management.     

绥芬河自贸片区贸易便利化实践研究

本文介绍了绥芬河自贸区开辟铁路互贸交易点、赋予农村农业合作社开展互市贸易经营权、拓展互贸商品进口准入国范围、创新俄籍自然人从事互贸业务规范化管理模式、培育互市贸易新业态新模式、金融外汇结算等制度创新的主要做法和实践效果,提出了贸易便利化要找准政策切入点、因时制宜、助力特色产业优化升级、加强内外联动、引领投资便利化、优化金融服务、注意防范风险等对策建议。     

Beating the market with a bad predictive model

It is a common misconception that in order to make consistent profits as a trader, one needs to possess some extra information leading to an asset value estimation that is more accurate than that reflected by the current market price. While the idea makes intuitive sense and is also well substantiated by the widely popular Kelly criterion, we prove that it is generally possible to make systematic profits with a completely inferior price-predicting model. The key idea is to alter the training objective of the predictive models to explicitly decorrelate them from the market. By doing so, we can exploit inconspicuous biases in the market maker’s pricing, and profit from the inherent advantage of the market taker. We introduce the problem setting throughout the diverse domains of stock trading and sports betting to provide insights into the common underlying properties of profitable predictive models, their connections to standard portfolio optimization strategies, and the commonly overlooked advantage of the market taker. Consequently, we prove the desirability of the decorrelation objective across common market distributions, translate the concept into a practical machine learning setting, and demonstrate its viability with real-world market data.     

Are Indian Subcontinent remittance markets connected to each other?

Indian subcontinent countries are some of the largest exporters of labor, and thus, largest receivers of remittances. Having many characteristics in common, their labor markets may be connected due to labor substitution and complementarity. We study the interactions of remittance inflows into India, Pakistan, Bangladesh and Sri Lanka via the Diebold-Yilmaz method. We find a low degree of spillovers across countries. In other words, the dynamics of remittance inflows in each country are largely explained by internal factors, not due to spillovers from other countries. That indicates that international remittance inflows in countries in the Indian Subcontinent that we consider in this study are essentially independent. We also find that the dynamic connectedness tends to fall over time in the aftermath of the 2008–2010 financial crisis, which is reversed after 2014. The initial decline probably happened due to the recovery in the labor receiving economies whereas the increase after 2014 probably reflects the jitters felt in all economies. We conclude that spillover of four countries’ remittance inflows is time-varying.