Is momentum really momentum?

Momentum is primarily driven by firms' performance 12 to seven months prior to portfolio formation, not by a tendency of rising and falling stocks to keep rising and falling. Strategies based on recent past performance generate positive returns but are less profitable than those based on intermediate horizon past performance, especially among the largest, most liquid stocks. These facts are not particular to the momentum observed in the cross section of US equities. Similar results hold for momentum strategies trading international equity indices, commodities, and currencies.     

A management orientated approach to combination forecasting of tourism demand

Volatility, exponential smoothing, regression and Naïve 2 models are considered singly and in combination in terms of forecasting demand for international tourism. These models generate accurate predictions of tourism flows, but their prime utility is when combined with other models. Usually, models are combined by means of purely statistical criteria. We show that goal programming (GP) offers an alternative, flexible approach to model combination. GP offers planners a practical solution to tourism forecasting problems, since the method is more adaptable than conventional minimisation of prediction error, by permitting practitioners to prioritise a series of management related goals. Forecasters can focus on longer- and short-term goals, minimising forecast under- and over-estimation and/or concentrate on prediction errors in tourism flows at various times of the year.     

The roles of multiple channels in predicting website visits and purchases: Engagers versus closers

In today’s online environment, consumers and sellers interact through multiple channels such as email, search engines, banner ads, affiliate websites and comparison-shopping websites. In this paper, we investigate whether knowing the history of channels the consumer has used until a point of time is predictive of their future visit patterns and purchase conversions. We propose a model in which future visits and conversions are stochastically dependent on the channels a consumer used on their path up to a point. Salient features of our model are: (1) visits by consumers are allowed to be clustered, which enables separation of their visits into intra- and inter-session components, (2) interaction effects between channels where prior visits and conversions from channels impact future inter-session visits, intra-session visits and conversions through a latent variable reflecting the cumulative weighted inventory of prior visits, (3) each channel attracts inter-session and intra-session visits differently, (4) each channel has different association with conversion conditional on a customer’s arrival to the website through that channel, (5) each channel engages customers differently (i.e., keeps the customer alive for a next session or for a next visit within a session), (6) the channel from which there was an arrival in the previous session can have an enhanced ability to generate an arrival for the same channel in the current session (channel persistence), and (7) parsimonious specification for high dimensionality in a low-velocity, sparse-data environment. We estimate the model on easy-to-collect first-party data obtained from an online retailer selling a durable good and find that information on the identities of channels and incorporation of inter- and intra-session visits have significant predictive power for future visitation and conversion behavior. We find that some channels act as “closers” and others as “engagers”—consumers arriving through the former are more likely to make a purchase, while consumers arriving through the latter, even if they do not make a purchase, are more likely to visit again in the future or extend the current session. We also find that some channels engage customers more than others, and that there are interaction effects between the channels visited. Our estimates show that the effect of prior inventory of visits is different from the immediate prior visit, and that visit and purchase probabilities can increase or decrease based on the history of channels used. We discuss several managerial implications of the model including using the predictions of the model to aid in selecting customers for marketing actions and using the model to evaluate a policy change regarding the obscuring of channel information.     

信贷、保险、“信贷+保险”的扶贫效果比较研究

农村金融是农村经济发展的重要内生动力,创新金融扶贫体制对我国农村深度贫困地区的脱贫攻坚工作具有重要意义。本文基于多重均衡模型,对比研究信贷、保险、"信贷+保险"三类金融产品的扶贫效果,在不同的信贷和保险产品结构下得出陷贫概率,进而得出金融扶贫产品的精准设计,以创新金融扶贫体制,从而解决我国深度贫困的问题。研究表明:单独信贷产品扶贫无效;保险能够帮助阈值以上人群摆脱潜在贫困,但对深度贫困无效;"信贷+保险"能解决一定程度的深度贫困问题,比单独信贷或单独保险的扶贫效果更好。     

金融审判中风险防范的适法困境与选择

金融资管业务往往通过民事合同的安排来达到降低交易成本、规避金融监管的目的。为了防范金融风险,金融监管机构通过《资管新规》等一系列监管政策加强对金融市场的"穿透式"监管。金融商事审判机关在制定法没有明确规定的情况下,如何针对违反监管政策的金融交易合同做出公允的裁判是亟须解决的问题。本文分析了合同法第53条3、4、5款的适用空间为何,以及金融商事审判如何在现行法的框架内防范实现风险防范的目的。     

普惠保险发展的路径选择及其优化——基于小额保险的国际经验

保险“十三五”规划要求大力发展小额保险等普惠保险,但我国小额保险发展相对滞后,制约着普惠保险的全面发展。本文基于对印度等五国经营小额保险的经验研究,比照我国普惠保险发展实际情况,期望借此破解我国普惠保险发展困局,优化普惠保险发展路径。研究发现:我国普惠保险发展在政府推动力度、法律法规完善程度、政策支持力度及发展模式上均可进一步强化改善。结合国际经验和中国实践,我国普惠保险发展应重视法律法规等正式制度建设,顺应各地风俗文化等非正式制度,出台“小额保险条例”作为普惠保险的配套支持政策,利用合作代理销售模式和科技创新手段,控制普惠保险交易成本,开发符合消费者实际利益的普惠保险险种。     

我国金融市场基础设施管理:现状、难点和立法路径

随着我国金融市场的纵深化发展,金融市场基础设施因其基础服务、系统性风险管理、辅助监管以及助力金融市场开放和营商环境完善等作用而日益受到重视,并成为现代金融治理和推动金融现代化的重要内容。但我国金融市场基础设施在运行和管理过程中却存在监管分散、制度空白、支持宏观审慎监管不力等情况,各方在相关概念和标准、统筹监管、恢复与处置安排等方面难以形成法律共识。为更好发挥金融市场基础设施作用,完善制度环境,我国应从金融市场基础设施的相关概念入手,明确其稳健运行所需的保障手段,完善统筹监管框架,有效衔接其他相关法律,并通过分步走的方式填补制度空白,提高立法层级。     

注册制下完善A股分拆上市对策研究

分拆上市作为证券市场优化资源配置和促进市场化并购重组的重要手段,在境外市场被广泛运用,但A股市场的分拆案例相对较少。2019年12月,证监会发布了《上市公司分拆所属子公司境内上市试点若干规定》(以下简称《若干规定》),为引导和规范上市公司分拆所属子公司在境内上市奠定了政策基础。由于我国分拆上市制度还刚刚起步,仍需在加强监管、完善配套制度、确立有关业务规则等方面开展持续研究。为厘清成熟市场分拆上市的实践,本文重点研究美国和中国香港市场,对其分拆上市的相关规则、有益经验以及最新案例进行梳理和归纳,在此基础上提出相应的政策建议,以期为后续细则制定提供参考。