投资者分歧、异常交易量和股票横截面收益率预测——基于中国股票市场的经验证据

本文定义月度异常交易量为本月与上个月交易金额的比值,发现中国市场月度收益率与滞后一个月的异常交易量显著负相关。在控制了公司规模、账面市值比、流动性以及动量效应等指标后仍然具有显著的解释作用。进一步研究表明,在出现高异常交易量后的12个月内,换手率和特质性波动率都有大幅上升。本文认为,交易量上升代表着市场分歧程度和受关注程度的增加,在卖空约束下会使得股票价值高估,从而造成未来收益率下降。     

商业银行贷款出售的信息公布策略选择--基于核心存款比率的博弈分析

本文通过一个银行和储户的一期博弈模型,证明了核心存款比率的高低能极大影响银行在贷款出售时的信息披露策略。这说明,核心存款对于商业银行的经营管理具有重大意义,银行的高级管理层和研发部必须对核心存款进行全面细致的研究和管理。     

连锁销售企业成功要素分析

连锁销售是一种商业组织形式和经营制度,是由在同一经营商标的总部统一领导下的若干个店铺或分支企业构成的联合体所进行的商业经营活动。它是当今世界最为流行的企业扩张模式,是一种高效的经营方式。但近十年来,我国的连锁销售发展很快,真正成功的连锁销售企业不多。该文分析了成功企业的原因,得出了连锁销售企业成功的8大要素：优秀的团队、与客户互动、目标与评估、物流、服务、管理现代化、变化与变革、培训与激励。     

金融行业间的资产风险外溢影响

银行业、保险业和证券业因投资业务而构建起联系，并基于金融资产价格而具有了传染渠道。随着投资活动愈发频繁，金融行业中各行业内部的资产风险可能外溢至其他行业。本文首先从理论上分析金融行业资产风险通过投资资产外溢的过程，通过搭建资产抛售模型模拟资产风险的传染机制，从机构层面和行业层面分析资产风险的生成与传递。其次，基于金融机构实际数据的模拟分析结果显示，四大国有商业银行和中国平安具有外溢风险的能力，首先影响银行和保险公司，随后再扩散到整个金融行业，而证券业则相对较为独立。银行业的外溢影响最大，其次是保险业和证券业。但事实上很难发生足以对外部造成显著影响的损失事件。资产、投资比例、杠杆和监管要求水平在资产风险外溢的过程中具有一定的影响。     

外部关税变动对中国区域劳动力就业的影响

本文利用UNCTAD数据和中国人口普查微观数据,基于地区就业的行业结构和贸易对象国对中国征收的行业层面的进口关税,构建地区层面外部关税变动指标,研究外部关税变动对中国区域劳动力就业的影响。研究发现:(1)外部关税下降幅度越高的地区,总体就业、可贸易部门和不可贸易部门的就业增加也越多;(2)出口和内销规模扩张的就业创造效应、生产率提升的就业破坏效应,是外部关税下降影响地区可贸易部门就业的重要渠道;(3)外部关税下降带来的地区可贸易部门出口扩张、就业增加和工资上涨,通过产业关联和消费驱动等正向溢出效应增加地区不可贸易部门就业,通过就业的部门间再配置效应减少地区不可贸易部门就业;(4)外部关税下降对地区不可贸易部门就业的影响呈现出先抑制后促进的动态演进过程,这与外部关税变动下中国区域劳动力供给的调整紧密相关。此外,外部关税变动对地区不同属性劳动力就业的影响效果存在显著差异。本文的研究结论对于外部关税变动下稳定区域劳动力就业的相关政策制定具有一定的参考意义。     

Urban wireless traffic evolution: The role of new devices and the effect of policy

The emergence of new wireless technologies, such as the Internet of Things, allows digitalizing new and diverse urban activities. Thus, wireless traffic grows in volume and complexity, making prediction, investment planning, and regulation increasingly difficult. This article characterizes urban wireless traffic evolution, supporting operators to drive mobile network evolution and policymakers to increase national and local competitiveness. We propose a holistic method that widens previous research scope, including new devices and the effect of policy from multiple government levels. We provide an analytical formulation that combines existing complementary methods on traffic evolution research and diverse data sources. Results for a centric area of Helsinki during 2020–2030 indicate that daily volumes increase, albeit a surprisingly large part of the traffic continues to be generated by smartphones. Machine traffic gains importance, driven by surveillance video cameras and connected cars. While camera traffic is sensitive to law enforcement policies and data regulation, car traffic is less affected by transport electrification policy. High-priority traffic remains small, even under encouraging autonomous vehicle policies. Based on peak hour results, we suggest that 5G small cells might be needed around 2025, albeit the utilization of novel radio technology and additional mid-band spectrum could delay this need until 2029. We argue that mobile network operators inevitably need to cooperate in constructing a single, shared small cell network to mitigate the high deployment costs of massively deploying small cells. We also provide guidance to local and national policymakers for IoT-enabled competitive gains via the mitigation of five bottlenecks. For example, local monopolies for mmWave connectivity should be facilitated on space-limited urban furniture or risk an eventual capacity crunch, slowing down digitalization.     

Liquidity Dry-ups in equity markets

This paper examines how mutual fund investors’ demand for liquidity provision endogenously affects stock liquidity in the equity market. We find that actively managed funds in the US tend to hold less liquidity than their respective benchmarks, which leads them to rely on only a small fraction of liquid stocks when it comes to liquidity demand. Using mutual fund sell transactions, we further show that mutual funds tend to sell more liquid stocks in their holdings when experiencing outflows. Concentrated sales of liquid stocks, however, significantly reduce the liquidity of these stocks, resulting in liquidity deterioration or dry-up among highly liquid stocks in periods of high market-wide liquidity demand. Overall, the results indicate that mutual funds fail to predict the liquidity of the asset at purchase.     

The effect of product touch information and sale proneness on consumers' responses to price discounts

Since price discounts are costly and can negatively affect consumers' perceptions of quality, it is crucial to identify the factors that make them effective in stimulating purchase behavior. Drawing on cue utilization theory, we examine price discount effectiveness in affecting consumers' reliance on the sale cue based on the provided product touch information as an intrinsic cue and individual consumer differences in sale proneness. Two experimental studies indicate that price discount information, product touch information, and sale proneness interact to determine consumers' responses. Perceived quality is the underlying mechanism behind the observed effects. For nonsale-prone consumers, product touch information favorably influences responses to large price discounts by addressing product quality concerns and enhancing purchase confidence, but has no effect for regularly priced or low discounted products. For sale-prone consumers, product touch information is not effective in increasing their responses regardless of the discount size. A qualitative study provides support for these results and highlights the role of perceived quality and purchase confidence. The research contributes to behavioral pricing, cue utilization theory, and sensory marketing and suggests that marketing managers should provide consumers with product touch information when implementing high discounts for products for which prepurchase touch is important.