Adaptive market hypothesis: The story of the stock markets and COVID-19 pandemic

Since the level of markets’ information efficiency is key to profiteering by strategic players, Shocks; such as the COVID-19 pandemic, can play a role in the nature of markets’ information efficiency. The martingale difference and conditional heteroscedasticity tests are used to evaluate the Adaptive form of market efficiency for four (4) major stock market indexes in the top four affected economies during the COVID-19 pandemic (USA, Brazil, India, and Russia). Generally, based on the martingale difference spectral test, there is no evidence of a substantial change in the levels of market efficiency for the US and Brazilian stock markets in the short, medium, and long term. However, in the long term, the Indian stock markets became more information inefficient after the coronavirus outbreak while the Russian stock markets become more information efficient. Intuitively, these affect the forecastability and predictability of these markets’ prices and/or returns. Thereby, informing the strategic and trading actions of stock investors (including arbitrageurs) towards profit optimization, portfolio asset selection, portfolio asset adjustment, etc. Similar policy implications are further discussed.     

Bank Competition and its Determinants: Evidence from Indian Banking

Abstract

This paper measures the degree of bank competition in India using a sample of 70 commercial banks over the period 1996–2016. To assess the degree of competition, we estimate the market power of each bank in our sample employing three nonstructural measures: the Lerner index, the adjusted Lerner index, and the Boone indicator. Bank-wise and year-wise estimates of the marginal cost required in all these measures are obtained using the semi-parametric method. The paper further attempts to undertake a comprehensive assessment of competition in Indian banking and identifies various bank-specific, macroeconomic, structural, and contestability indicators, which are supposed to explain level and variation of the degree of competition over time. Empirical findings reveal that public-sector banks in India exercise a relatively higher degree of bank competition compared to private and foreign-sector banks. However, aggregate results support that the Indian banking system is competitive in general. Unlike the structure-conduct-performance paradigm, which advocates that a concentrated banking system impairs competitiveness, our findings reveal that concentration measures hardly exert any effect on bank competition. Rather, contestability measures play a significant role in the determination of bank competition.     

Health and political regimes: Evidence from quantile regression

This study investigates how political regimes affect health conditions such as infant and child mortality rates and life expectancy using data from 180 countries observed between 1960 and 2013. Panel quantile regression is used to examine the effects at different intervals throughout the distribution of health outcomes. The estimation results indicate that democracy has significant positive effects on health outcomes and that its impacts are greater when health outcomes are worse. These results are robust to different democracy and health indices. The effects of different types of democracies and dictatorships are also considered, that is parliamentary, mixed (semi-presidential) and presidential democracies, and civilian, military and royal dictatorships. The parliamentary form of democracy has the largest positive impact on health outcomes at the worst quantile of health outcomes, although the difference in the impacts of the three types of democracies is not necessarily large. Furthermore, all types of dictatorships have a negative impact on health outcomes, with military dictatorship having the worst outcome when health outcomes are worse. Finally, the effects of democratization on health outcomes are significantly positive when the health outcomes are worse.     

金融周期、行业技术周期与经济结构优化

本文首先采用马尔科夫区制转移模型测算金融周期和12类行业的技术投入周期,进而采用交叉谱分析法和OLS法分析金融周期对行业技术周期的影响,结果发现:不同金融变量的周期具有异步性,各行业的技术投入周期具有明显差别;不同金融变量周期与行业技术投入周期之间存在不同的数量关联性,对不同的行业技术投入具有不同的影响作用;在繁荣阶段,金融市场和银行对各行业的技术投入都具有正向推动作用,但金融市场对高密度创新行业技术投入的推动作用更为显著,银行对低密度稳定行业技术投入的推动作用更为显著;在紧缩阶段,金融市场对高密度创新行业技术投入的紧缩效应更为剧烈,银行却对低密度稳定行业的技术投资下行起到缓解作用。根据这些事实和规律,可以引导利用各金融变量对具有发展前景的行业强化技术投资助推作用,提升经济结构优化效率。     

预期寿命、生育率变动与基本养老保险统筹账户调整

在构建三期世代交叠模型的基础上，通过选取相关制度指标来模拟分析在未来预期寿命和生育率变动下，基本养老保险统筹账户如何基于参数调整来维持收支平衡。研究结果表明：（1）我国居民预期寿命增长过快，统筹账户收支平衡受预期寿命变化影响较大；（2）在现阶段的预期寿命和生育率条件下，统筹账户能实现自身收支平衡，而且可在短期内通过阶段性降低缴费率来促进制度长远发展；（3）在长期内需通过提高缴费率或降低养老金替代率来保证统筹账户收支平衡，预期寿命为87.828岁且总和生育率为1.79作为参数调整临界点；（4）以现有制度设计为基准，参数调整临界点之前保证35%的基础养老金平均替代率不降，临界点之后保证20%的缴费率不升可以最大程度促进经济和社会发展。     

Non-stationary additive utility and time consistency

Within a continuous time life cycle model of consumption and savings, I study the properties of the most general class of additive intertemporal utility functionals. They are not necessarily stationary, and do not necessarily multiplicatively separate a discount factor from “per-period utility”. I prove rigorously that time consistency holds if and only if the per-period felicity function is multiplicatively separable in $t$, the date of decision and in $s$, the date of consumption, or equivalently, if the Fisherian instantaneous subjective discount rate does not depend on $t$. The model allows to explain “anomalies in intertemporal choice” even when the agents are time consistent and various empirical regularities. On the other hand, the model allows to characterize mathematically the “effective consumption profile” of naive, time-inconsistent agents.     

国际标准ISO5151-2010低温制热测试解析

通过对ISO 5151-2010标准中热泵低温制热测试方法的解析,阐明低温制热的测试环节、不同运行表现热泵的具体测试方法和要求以及测试误差的主要来源,从而得出热泵低温制热测试要对不同运行表现热泵进行分类并采用不同的数据采集方法和要求,才能减小测试误差,各试验室在同一规定的测试方法和要求下测试其测试数据才有可比性。     

产业集群的人才集聚机制研究

在产业集群的经济增长作用日益突出的今天,集群内的人才集聚现象也越来越受到学者们的关注。文章基于成本收益理论以及人口迁移中的“推－拉理论”等,对产业集群作用下的人才集聚现象进行了分析,并进一步阐述了产业集群内的产业链与人才链的耦合效应以及产业集群生命周期阶段人才集聚的演化过程,得出由于在产业集群的外部经济效应和知识溢出效应等自身诸多特征的作用下人才集聚得以实现,并且产业集群生命周期的不同阶段人才集聚对经济的贡献是有所差异的基本结论。这一结论将会给地方政府在制定区域人才开发政策时提供不同的视角,以便有针对性地遵循产业生命周期阶段来进行人才结构的调整与升级,保证人才集聚的持续性与区域经济的可持续发展。     

Recent and Future Developments Related to “Gdp and Beyond”

Progress of societies? Well‐being of citizens? Trans‐generational impact of policies? To answer such fundamental questions and much more, the European Commission published, in August 2009, its Communication on “GDP and Beyond: Measuring Progress in a Changing World.” Through a co‐operative project, co‐chaired by Eurostat and INSEE (France), the ESS acted decisively and established an action plan to be carried out by 2020 in the context of the European Statistical Programme. This plan which also builds on Eurostat's work on Sustainable Development Indicators. For most of these actions, work has either been accomplished or is in good progress. Further challenges lie ahead, including reconciling macro‐ and micro‐data sources on household economic resources and completing the indicators set on Quality‐of‐Life. The work will also contribute to the global efforts on the Sustainable Development Goals/post‐2015 development agenda.