Efficiency,total factor productivity and returns to scale in a sustainable perspective: An analysis in the European Union at farm and regional level

For global sustainability it is imperative to find a balance across the three main components of sustainable development which are the economic, social and environmental aspects. However, it is not a simple task to make these contexts compatible, usually because of economic pressures which transform them into opposed objectives. This framework occurs across several dimensions within society and the economy, where the agricultural sector is not an exception. The objective of this study is to analyse the efficiency, total factor productivity and returns to scale in an economic, social and environmental perspective in farms of the European Union (EU) regions through Data Envelopment Analysis (DEA) approaches. The research concerning the returns to scale will be complemented by the Keynesian models. Data obtained from the European Union Farm Accountancy Data Network (FADN) was considered. The results show that in maintaining or improving the levels of production in farms, it is often possible to greatly reduce, in some cases, the consumption of fertilizers and crop protection products. On the other hand, from a social perspective, some European Union regions are more generous in the salaries paid to farming workers and absorb more labour, which in a European context of unemployment, may be an interesting way to realistically look at and be engaged in the agricultural planning in a sustainable way, founding a balanced trade-off among the economic, social and environmental dimensions.     

Building With Bricks and Mortar: The Revenue Impact of Opening Physical Stores in a Multichannel Environment

A crucial decision firms face today is which channels they should make available to customers for transactions. We assess the revenue impact of adding bricks-and-mortar stores to a firm's already existing repertoire of catalog and Internet channels. We decompose the revenue impact into customer acquisition, frequency of orders, returns, and exchanges, and size of orders, returns, and exchanges. We use a multivariate baseline method to assess the impact of adding the physical store channel on these revenue components. As hypothesized, store introduction cannibalizes catalog sales and has much less impact on Internet sales. Also as hypothesized, returns and exchanges increase. Interestingly, transaction sizes of purchases, returns, and exchanges do not change. The “availability effect” produces a net increase in purchase frequency across channels. This more than compensates for increased returns, producing a net increase in revenues of 20% by adding the store channel. Our findings yield a deeper understanding of the revenue relation between channels, and of the dynamic cross-channel effects of marketing actions.     

Stock Price Index and Exchange Rate Nexus in African Markets

This paper examines the relationship between stock price index and exchange rate in six African markets using monthly data for the period January 2007 to October 2015. A quantile regression approach is used. This methodology is shown to perform better than the ordinary least squares estimators, particularly when the conditional distribution is heterogeneous. Our empirical evidence reveals an interesting pattern in the association of these two financial markets in Africa, which shows that the negative relationship between stock and foreign exchange markets is more apparent when exchange rates are extremely low or high. The negative relationship between the two variables is in line with the portfolio balance effect.     

Financial constraints and asset pricing: comprehensive evidence from London Stock Exchange

This study provides comprehensive evidence on the pricing of financial constraints (FC) risk on London Stock Exchange during the period 1988–2013. Utilizing a large number of proxies for FC, we find that investors are not compensated with higher premia for holding shares of financially constrained firms. To the contrary, in most of the cases, the most constrained firms significantly underperform, both statistically and economically, the least constrained ones. Focussing on the Whited–Wu index to construct a zero-cost FC factor that goes long the most constrained firms and sells short the least constrained ones, we find that this factor carries a significantly negative premium and it is priced in the cross-section over and above the commonly used risk factors.     

Interest rate dynamic effect on stock returns and central bank transparency: Evidence from emerging markets

Interest rate dynamic effect on stock returns is examined under different levels of central bank transparency under an asset pricing context. Using a large set of emerging countries in a panel data framework, we provide evidence for a negative link between stock returns and interest rate differences. However, this negative effect is reduced significantly under a transparent central bank, underlying a non-linear impact on stock returns. Our study is focused on a period from 1998 to 2008 where fundamental changes in the level of central banks’ transparency were occurred. Our findings imply that restrictive monetary policies under high levels of transparency lead to smoother reductions on stock returns with significant benefits for financial stability.     

传统能源及碳交易价格与新能源股价——基于VAR和CAPM-GARCH模型的分析

文章构建VAR模型和CAPM-GARCH模型,分析检验了2010年7月初至2013年底期间传统能源和碳排放权交易价格对国内新能源上市公司股价波动的影响及新能源股票收益率的波动特点,研究发现:国内煤价对新能源公司股价有显著的正向影响,而国际油价的影响不显著;碳排放权交易价格也是引起新能源投资价值从而上市公司股价变动的重要因素;新能源公司股价指数对高科技股价指数并不敏感,反映出国内新能源上市公司科技含量不足,资本市场关注更多的是新能源的概念而非技术优势;国内新能源股票整体的系统风险在1.125~1.131之间,利好消息比利空消息能引起新能源股票收益率更大的波动。     

Relationship between oil,stock prices and exchange rates: A vine copula based GARCH method

In this paper, we apply a vine copula approach to investigate the dynamic relationship between energy, stock and currency markets. Dependence modeling using vine copulas offers a greater flexibility and permits the modeling of complex dependency patterns for high-dimensional distributions. Using a sample of more than 10 years of daily return observations of the WTI crude oil, the Dow Jones Industrial average stock index and the trade weighted US dollar index returns, we find evidence of a significant and symmetric relationship between these variables. Considering different sample periods show that the dynamic of the relationship between returns is not constant over time. Our results indicate also that the dependence structure is highly affected by the financial crisis and Great Recession, over 2007–2009. Finally, there is evidence to suggest that the application of the vine copula model improves the accuracy of VaR estimates, compared to traditional approaches.     

股权性质、环境不确定性与技术资本配置效率

技术转化为资本，资本创造价值已经成为共识，技术资本在不同公司创造价值的作用程度不同，根源是技术资本配置效率问题。选取沪深两市2008-2013年间制造业上市公司为样本，检验了基于不同股权性质的公司环境不确定性对企业技术资本配置效率和价值的影响，研究结果表明：①企业环境不确定性程度越高，技术资本配置效率越低，并且技术资本配置偏离度在国有公司中表现为配置过度，在非国有公司表现为配置不足；②在股权性质为国有的公司中，由环境不确定性引发的技术资本配置偏离将降低企业价值，在非国有控股公司中，由环境不确定性导致的技术资本配置偏离将增加企业价值。     

Are stock markets really so inefficient? The case of the “Halloween Indicator”

The old and simple investment strategy “Sell in May and Go Away” (also referred to as the “Halloween effect”) enjoys an unbroken popularity. Recent studies suggest that the Halloween effect even strengthened rather than weakened since its first publication by Bouman and Jacobsen (2002). We implement regression models as well as Hansen’s (2005) “Superior Predictive Ability” test to analyze whether stock markets are really so inefficient. In line with the predictions of market efficiency, our results reject the hypothesis that a trading strategy based on the Halloween effect significantly outperforms.     

Extent of corporate governance disclosure by banks and finance companies listed on Nepal Stock Exchange

Corporate governance disclosure has seen renewed interest by researchers, policy makers, and regulating bodies internationally, but has remained only an emerging construct in Nepal. The primary purpose of this study was to assess the extent of mandatory corporate governance disclosure in Nepal. The secondary purpose was to examine the associations between the extent of disclosures and five firm-specific characteristics. The third purpose was to assess the significant determinants to explain variations of disclosures. The study's sampling frame consisted of 125 banking and finance companies listed on Nepal Stock Exchange. A sample size of 59 companies was randomly selected. On average, companies disclosed 91% of items in the mandatory category, 48% in the voluntary category, and 74% in total. A significant positive correlation existed between governance disclosures and firm characteristics of size, leverage, and foreign ownership. There was no significant relation between governance disclosure and listing age or profitability. With regards to determinants, bank size was a significant predictor of governance disclosure. Three regression models for total disclosures (DScore), mandatory disclosures [DScore (M)], and voluntary disclosures [DScore (V)] with three predictors of size, leverage, and foreign ownership were significant and explained 47%, 24%, and 54% variations respectively in total, mandatory, and voluntary corporate governance disclosures in Nepal. This research provides guidelines to policy makers and standard setters for developing future regulations and accounting policies.