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.     

Increasing linkages among European regions. The role of sectoral composition

This paper analyses changes in economic regional interlinkages in Europe over time and investigates the factors that could explain the dynamics of these changes. Our four main findings are the following: (i) we detect a significant surge in regional synchronisation after the Great Recession; (ii) we identify the regions most interrelated with the rest of Europe, namely, Ile de France, Inner London and Lombardia; (iii) we find that sectoral composition explains regional synchronisation in Europe, mainly after the Great Recession and (iv) we document that sectoral composition has important implications for aggregate economic fluctuations, in particular, that similarities in services-related sectors across regions explain a nonlinear relationship between sectoral composition and regional business cycle synchronisation. We also propose a new method to measure time-varying synchronisation in small samples that combines regime-switching models and dynamic model averaging.     

和谐社会与价值--能量理论

本文延续了《经济学的本质》、《经济学的表象》两书提出的“价值-能量”理论,对构建和谐社会的要求、过程和目的进行了科学的分析,并为之奠定了科学的理论基础.     

加权Hardy空间上算子序列的收敛性

设D为复平面C中的开单位圆盘，φ：D→D解析，ψ：D→C，Cψ，φ是H^2（β）上的加权复合算子，S是加权移位算子，该文通过讨论算子序列{S^＊nCψ，φS^n}n=1^∞与{S^＊nCψ，φ^＊S^n}n=1^∞的收敛性来研究H^2（β）上加权复合算子Cψ，φ的渐近Toeplitz性．     

The going public decision and the structure of equity markets

The industries in which listed firms are concentrated in less developed equity markets are not random, nor entirely explained by the underlying composition of production. Listed firms and market capitalization are disproportionately concentrated in industries with low beta (measured with their beta with the market portfolio in the U.S.). We document a strong positive relationship between the industry-weighted country beta and the degree of market development across countries. Recent IPO activity confirms the result since new listings have higher betas than the average firm already in the market.     

Structural transformation and productivity growth in India during 1960–2010

In this paper, we examine the role of structural change and sectoral productivity growth in explaining the aggregate productivity of India relative to the United Sates during 1960–2010. We set up a simple two sector general equilibrium model and calibrate it to fit the structural transformation of United States. Our calibrated model for India highlights the relative importance of agricultural productivity growth in explaining its slow process of catching up in terms of aggregate productivity. We show that India could have progressed at a much faster rate and closed a substantial part of its aggregate productivity gap if its agricultural sector had grown at a rate at par with the United States. It is India's relative productivity growth in the non-agricultural sector that explains all the recent success in its closing the aggregate productivity gap with the United States. We also found that an elimination of relative distortion in agriculture in India could result into a modest improvement in the aggregate labour productivity.     

News-driven international credit cycles

How does news about future economic fundamentals affect within-country and cross-country credit allocation? How effective is unconventional policy when financial crises are driven by unfulfilled favorable news? I study these questions by employing a two-sector, two-country macroeconomic model with a banking sector in which financial crises are associated with occasionally binding leverage constraints. In response to positive news on the valuation of non-traded sector capital which turns out to be incorrect at a later date, the model captures the patterns of financial flows and current account dynamics in Spain between 2000–2010, including the changes in the sectoral allocation of bank credit and movements in cross-country borrowing during the boom and the bust. When there are unconventional policies by a common authority in response to unfulfilled favorable news, liquidity injections perform better in ameliorating the downturn than direct assets purchases from the non-traded sector.     

Disaggregate Real Exchange Rate Behaviour

In this paper, we re-examine the “PPP Puzzle” using sectoral disaggregated data. Specifically, we first analyse the mean reversion speeds of real exchange rates for a number of different sectors in 11 industrial economies and then focus on relating these rates to variables identified in the literature as key determinants of CPI-based real exchange rates, namely: the trade balance, productivity and the mark up. In particular, we seek to understand to what extent the relationships existing at the aggregate level are borne out at the disaggregate level. We believe that this analysis can help shed light on the PPP puzzle.

Can China reduce the carbon emissions of its manufacturing exports by moving up the global value chain?

This study analyses whether embedding in the global value chain has an impact on the carbon emissions of China’s exports. We develop a carbon decomposition model and use panel data for 14 manufacturing industries in China from 1995 to 2009 to empirically analyse the impact of China’s exports on carbon emissions. Our results show that the GVC effect on China’s carbon emissions embodied in manufacturing exports outweighs the scale, composition and technique effects.     

Context matters: How existing sectors and competing technologies affect the prospects of the Swiss Bio-SNG innovation system

Emerging technological fields are affected by developments in their broader context. This article proposes a differentiation of context structures as a crucial step in the analysis of technological innovation systems. A thorough context analysis, so the argument, is essential for understanding the pace and direction of technology development and the prospects of an emerging technological innovation system. Empirical insights are provided for Bio-SNG, a technology in an early stage of development. The article discusses the conditions under which actors from different sectors (forestry, wood industry, and energy supply) may play a role in the emerging field. It is shown that Bio-SNG is likely to become a victim of the recent boom in wood-to-energy technologies that has favored investments in more mature but technologically inferior alternatives. The case provides lessons for policy making as it highlights how effective support schemes might foster a lock-in into technologies that are readily available.