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.     

Differential reporting in Germany - A historical analysis

Based on a contingent perspective of accounting change, this paper reviews the historical development of differential reporting in Germany, by drawing on primary and secondary sources. The main objective of the paper is to shed light on the driving forces and main influential parameters that have shaped the existing differential reporting framework. This historical approach supplies interesting insights for the current discussion on differential reporting in Germany produced by the EU Regulation on the application of International Accounting Standards.     

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.     

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。     

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.     

论人民币升值对世界证券市场的影响——以美国证券市场为例

我国是一个经济贸易大国,人民币升值将通过多种机制对世界证券市场产生重大影响.当然,由于不同的国家与我国的经贸关系和地缘关系不同,以及市场的开放和发达程度不同,相同的机制对不同国家的证券市场影响是不同的,这需要具体情况具体分析.鉴于人民币升值对世界证券市场的影响,我国应注意防范其中隐藏的风险,并尽可能地从中获取应得的利益.     

Through trade wars,East Asians finally learning to cooperate with each other?

ABSTRACT

In this paper, I examine the Sino-U.S. trade disputes from less-talked about angles: institutional differences, SOEs, hukou control and contemporary Chinese history. Based on these, I provide suggestions for future cooperation and improvement.     

中美日环境会计信息披露差异研究

由于建立环境会计制度的时间不同、环境会计发育程度不同以及各国相关法律规定的不同，各国企业对环境会计信息的披露情况存在较大差异。笔者通过对中美日三国环境会计信息的披露形式和内容进行比较，认为应从加大宣传力度，进一步完善立法、加强执法、尽快制定环境会计准则和信息披露制度，提高企业管理者、会计人员的环保素质等方面入手。逐步完善我国的环境会计制度。     

美国稳定价值基金探讨

稳定价值基金（Stable Value Fund）通过保证本金和累计利息达到避免净值波动和收益稳定的投资目标，实现货币市场基金高流动性和债券基金更高收益的最佳组合，为投资者提供稳定的投资价值。本文介绍了美国稳定价值基金的发展概况，分析了其运作机制、核心优势及其发展的历史原因，并对稳定价值基金与保本基金做了比较。     

Regional and State Variation in Homeownership Rates; or If California's Home Prices Were as Low as Pennsylvania's Would its Ownership Rate be as High?

There are significant disparities in homeownership rates across the regions and states of the United States. The causes of these disparities are determined within a standard probit model of the individual homeownership decision where the micro-level observations are aggregated to the regional level. Factors which play a significant role at the individual level are evaluated for their ability to explain regional differentiation. The relative price of owning and renting plays a major role as do other market level determinants. Individual demographic characteristics are not as important with the exception of those related to the immigration and citizenship status of the household head.