COVID-19, stock market and sectoral contagion in US: a time-frequency analysis

We assess the conditional relationship in the time-frequency domain between the return on S&P 500 and confirmed cases and deaths by COVID-19 in Hubei, China, countries with record deaths and the world, for the period from January 29 to June 30, 2020. Methodologically, we follow Aguiar-Conraria et al. (2018), by using partial coherencies, phase-difference diagrams, and gains. We also perform a parametric test for Granger-causality in quantiles developed by Troster (2018). We find that short-term cycles of deaths in Italy in the first days of March, and soon afterwards, cycles of deaths in the world are able to lead out-of-phase US stock market. We find that low frequency cycles of the US market index in the first half of April are useful to anticipate in an anti-phasic way the cycles of deaths in the US. We also explore sectoral contagion, based on dissimilarities, Granger causality and partial coherencies between S&P sector indices. Our findings, such as the strategic role of the energy sector, which first reacted to the pandemic, or the evidence about predictability of the Telecom cycles, are useful to tell the history of the pass-through of this recent health crises across the sectors of the US economy.     

A COMPREHENSIVE REVIEW FOR GREEN PRODUCT TERM: FROM DEFINITION TO EVALUATION

Nowadays, interest in corporate environmental strategies shifts from cleaner processes to the holistic nature of green products. The relevant literature argues that firms have the opportunity to pioneer through green product innovation, allowing them to differentiate and thus gain competitive advantage. Environmental burden of products during their entire life cycle is undeniable. Due to the weakness of the existing literature that inadequately addresses a commonly accepted green product definition, as well as the thereby caused inconclusive academic empirical results on firms' competitiveness, there are many cases of businesses greenwashing behavior. The overall contribution of this exploratory paper, on determining and evaluating the degree of greenness of a product, is twofold; first, starting with a systematic literature review, authors further contribute by proposing an integrative definition that addresses the so far existing terminological gap. Next, after reviewing the existing environmental assessment tools, authors based on the developed definition and in accordance to its dynamic dimension contribute to the existing methodology, as the paper reveals issues that need to be considered in the evaluation of green products.     

Best classification algorithms in peer-to-peer lending

A proper credit scoring technique is vital to the long-term success of all kinds of financial institutions, including peer-to-peer (P2P) lending platforms. The main contribution of our paper is the robust ranking of 10 different classification techniques based on a real-world P2P lending data set. Our data set comes from the Lending Club covering the 2009–2013 period, which contains 212,252 records and 23 different variables. Unlike other researchers, we use a data sample which contains the final loan resolution for all loans. We built our research using a 5-fold cross-validation method and 6 different classification performance measurements. Our results show that logistic regression, artificial neural networks, and linear discriminant analysis are the three best algorithms based on the Lending Club data. Conversely, we identify k-nearest neighbors and classification and regression tree as the two worst classification methods.     

On measuring the wealth of nations: the US economy, 1964-2001

This paper examines the methodology of Shaikh and Tonak (Measuringthe Wealth of Nations, 1994) underlying their calculation ofestimates of productive labour in the US economy from 1964 to2001. The focus is not on the results but on the methods thatgenerate them. The paper finds that the compromises made byShaikh and Tonak because of data unavailability are unreliable,and that better approximations are possible. On this latterbasis, the Shaikh and Tonak methodology can be used to providethe labour and wage estimates needed for empirical investigationsin the surplus-based tradition.     

论绿色成本控制系统的构建

随着经济的发展,资源环境与人类的矛盾日益尖锐,绿色成本控制系统的提出正是适应了这种经济情况,为缓解和解决这一矛盾提供了有效的途径。我们从传统成本控制的局限性入手,提出和分析了绿色成本控制系统的含义及特点,构建的基本原理,应遵循的原则和绿色成本控制系统四个方面的构建思路,简略介绍了如何构建绿色成本控制系统的初步构想。     

美国贸易逆差:增长惯性与可持续性

美国的经常项目逆差特别是贸易逆差“历史悠久”，尤其是近年来高速增长，已引起人们广泛的关注。1990年代来的美国贸易逆差，已很难单从汇率、贸易政策及产品竞争力等单个变量来加以解释。通过运用滞后一年的时间数列回归分析及相关分析，本文得出的结论是：当期美国贸易逆差是前期美国贸易逆差的惯性增长，并且只要美国能够维持强势美元，资本与金融账户的盈余足够冲抵贸易逆差，美国的贸易逆差便具有可持续性。在本文的最后一部分，作者针对近期美国人制造的“人民币升值论”，结合近10年来中美双边贸易现实，说明美国贸易逆差与人民币汇率之间没有必然联系，人民币升值不可能改善美国的贸易收支状况。     

对我国生态环境保护的初步探讨

中国是世界上最大的发展中国家,由于现代工农业生产而造成了严重的环境污染,尤其是大量使用农用化学品所导致的生态失调与环境破坏,已严重威胁到人类生存环境及生活健康。今后社会发展必须大力提倡与推广无公害、无污染的清洁生产,全面实现生产的"零污染"与废物的"零排放"、保护环境与追求生态和谐的发展目标。     

绿色家具发展战略研究

根据绿色家具的评价指标，在家具设计（材料的选择、结构、包装等）、加工制造过程（能源、资源和噪音、粉尘和有机物的排放）和家具回收等方面进行了系统的阐述。     

对构建我国绿色壁垒应对平台的思考

信息渠道不畅、缺乏针对性的有效的咨询服务和技术支持等是目前我国大多数企业抗衡绿色壁垒的最大困难。政府应发挥其在抗衡绿色壁垒中的主导作用，构建由三大子系统、三大体系支撑的绿色壁垒应对平台，完善绿色壁垒风险预警管理系统，通过有效的运作，帮助企业最大限度地减少和避免产品出口遭受绿色壁垒的影响。     

美联储前瞻性指引对新兴市场国家的溢出效应研究

基于前瞻性指引溢出效应的相关理论,选取17个代表性新兴市场国家为研究对象,运用面板向量自回归(PVAR)模型实证分析美联储前瞻性指引对新兴市场国家的溢出效应.结果表明:美联储前瞻性指引在短期内对新兴市场国家金融市场具有一定的冲击,在长期内对新兴市场国家经济增长存在滞后的正向作用.新兴市场国家应采取应对策略,做好风险识别和预警,加强预期管理,增强货币政策协调和合作,有效防范和化解外溢影响.