Chinese firm and industry reactions to antidumping initiations and measures

China has been the subject of large numbers of both antidumping initiations and measures. This article explores the reactions of Chinese firms and industries to these actions by using dynamic system GMM estimator and industrial panel data on all Chinese firms in the industry, foreign firms operating within China and state-owned enterprises (SOEs) for aggregated firms group between 1997 and 2007. We find that antidumping actions by developed and developing countries negatively impact industrial profits and employee and firm numbers and also exports, but improve labour productivity. We also find that different kinds of firms show different responses. All firms together in an industry react to antidumping the most, and foreign and SOE firms show a much smaller response. Further, antidumping effects from different countries are different. Developed countries’ antidumping actions have more negative impact than developing countries’ actions; the effects of US actions are different from the European Union’s.     

Weaker jobs,weaker innovation. Exploring the effects of temporary employment on new products

This work explores the relationship between temporary employment and product innovation focusing on five major European economies (France, Germany, Italy, Spain and the Netherlands) observed between 1998 and 2012. The analysis distinguishes sectors according to their technological characteristics and regimes finding that industries using temporary employment tend to have a weaker product innovation propensity. The negative correlation between temporary employment and innovation turns out to be stronger in those sectors where tacit firm’s specific knowledge is crucial to the development of innovations. These sectors are identified using both the ‘Cumulativeness’ proxy stemming from Peneder’s classification as well as distinguishing between different Schumpeterian regimes – Schumpeter Mark I vs. II – of knowledge accumulation.     

Exchange rate exposure

In this paper we examine the relationship between exchange rate movements and firm value. We estimate the exchange rate exposure of publicly listed firms in a sample of eight (non-US) industrialized and emerging markets. We find that exchange rate movements do matter for a significant fraction of firms, though which firms are affected and the direction of exposure depends on the specific exchange rate and varies over time, suggesting that firms dynamically adjust their behavior in response to exchange rate risk. Exposure is correlated with firm size, multinational status, foreign sales, international assets, and competitiveness and trade at the industry level.     

The costs of tax havens: evidence from industry-level data

ABSTRACT

Multinational enterprises make use of tax havens to avoid paying corporate income taxes and this costs 100 billion USD and more in lost government revenue worldwide according to an increasing number of recent studies. None of those studies assigns these costs to industries. I aim to shed more light on this gap by using some of the best available industry-level US data to determine to what extent the location of the MNEs’ profit is aligned with the location of their economic activities. My first finding is that the most important tax havens for US multinational enterprises are the Netherlands, Ireland and Luxembourg (all EU member states). Second, I systematically identify the specific industries in specific tax havens responsible for the costs, which should be useful information for tax authorities aiming to reduce tax avoidance. Finally, I argue that the current data are not detailed enough to provide a reliable industry breakdown of the costs, but the prospect of combining input-output tables with forthcoming country-by-country data seems more promising.     

Exchange rate volatility and Turkish industry-level export: Panel cointegration analysis

The purpose of this article is to investigate the impact of the exchange rate volatility on Turkey's export. To this end, the panel cointegration analysis is applied to the data from Turkey's top 20 export industries to major 20 trading partners for the period 1980–2009. Special attention is paid to test for whether employment of country-level trade data instead of industry-level data is subject to the aggregation bias problem in the estimation of long-run cointegration parameters. The results indicate that employing country-level trade data suffers from the aggregation bias in estimating the cointegration parameters for the level of exchange rate and for the exchange rate volatility. The findings imply that (i) the impact of the exchange rate volatility on Turkish exports differs across industries, (ii) Turkey benefits from the depreciation of Turkish lira, and(iii) the foreign income plays a key role in determining the Turkish industry-level exports. The findings increase our insights to explain therecent dynamics of Turkish exports and provide some policy implications.     

Oil prices and UK industry-level stock returns

In this article, we study whether the behaviour of oil prices can be used as a reliable predictor for the disaggregated industry-level stock market indices. We find strong evidence for the relevance of changes in oil price as a predictor for the returns of UK industry portfolios, while this relevance is heterogeneous across industries. In an out-of-sample framework, we find that both the contemporaneous and lagged oil price changes do predict UK industry stock market returns. The predictive power is more transient for the latter case, and mostly appearing after allowing for time variation in the relative performance. In addition, we find some evidence of asymmetry in the oil–stock price relationships.     

Voluntary Adoption of the IFRS and Industry-Level Comparability: Evidence from Korean Unlisted Firms

This study examines the role of industry-level comparability with regard to voluntary adoption of the international financial reporting standards (IFRS) by unlisted firms in Korea. Mandatory adoption of the IFRS for listed firms in 2011 inhibits financial statement comparability between listed and unlisted firms. Our empirical findings reveal that unlisted firms in industries with higher ratios of listed firms tend to adopt the IFRS voluntarily. After this adoption, such unlisted firms seem to attract greater investment in the public debt market.     

Seeking a Better Portfolio with Industry Recommendations*

This paper provides novel evidence that investors can build a better performing portfolio by exploiting industry level consensus recommendations. A minimum variance portfolio, combined with consensus recommendations, yields a higher Sharpe ratio and certainty equivalent returns. A minimum variance portfolio with no short-selling constraint consistently outperforms an equally weighted portfolio when exploiting consensus recommendations, which is an innovation compared to the existing literature. Our results suggest that sell-side analysts and brokers provide valuable information in the financial market and we benefit from incorporating the information in the portfolio optimisation.     

Firm and industry informational content from REIT FFO announcements

Conveyance of information associated with REIT FFO announcements is investigated by decomposing stock returns into three components: firm-specific, industry-level and market-wide. The relative importance of firm-specific and industry information is evaluated around and following FFO announcements. The initial market reaction to REIT FFO announcements is primarily driven by the firm-specific return component. The underreaction to firm-specific information appears in drift after the announcement, especially for negative FFO surprises. FFO surprises explain the firm-specific return component, but not the industry-level return component which further suggests that FFO announcements only convey firm-specific information.     

How do natural and man-made disasters affect international trade? A country-level and industry-level analysis

This study examines the influence of disasters on international trade with a gravity equation model. Four types of disasters will be introduced: natural disasters, technological disasters, political risks, and financial crises. Existing literature implies that any type of disasters can either positively or negatively associated with international trade. The effects of disasters are different across the socioeconomic status of trade pairs and across industries as well as across different types of disasters. Results from country-level and industry-level show that natural disasters reduce international trade flows by raising trading and security costs and hardening borders. In contrast to previous findings, these results show that terrorism activities and technological disasters increase the international trade particularly between developed countries. The econometric specification controls unobserved characteristics of trade pairs and endogeneity problems. Managerial implications and future research are discussed.