The sectoral effects of Brexit on the British economy: early evidence from the reaction of the stock market

We investigate the impact of the outcome of the EU referendum (Brexit) on various sectors of the British economy over the period June–July 2016. Using the event study methodology, we assess the effects of Brexit, relative to what had been anticipated, as measured by abnormal returns (ARs). The results show that the banking and travel and leisure sectors were affected negatively, with a cumulative AR of ?15.37% for the banking sector. We observe that Brexit has a mixed effect on ARs with apparent sector-by-sector differences.     

中国城镇居民消费与第三产业发展互动关系的实证分析

采用协整分析、误差修正模型、格兰杰因果关系检验和向量自回归模型研究了我国城镇居民消费水平与第三产业发展的动态关系。研究结果表明，城镇居民消费水平与第三产业发展之间存在长期的相互作用关系，但现阶段两者发展还不协调。因此，应以城镇居民消费需求为导向，通过加快第三产业内部结构的升级和优化，实现产业结构的高度化，并最终实现居民消费需求与第三产业发展的良性互动。     

将文化意识引入自考英语教学实践的初探

自考英语是我国成人高等教育中的一门重要课程。如何帮助英语基础较为薄弱的自考学生学好这门课程一直是个难点。笔者通过在教学实践中导入文化意识,力图优化课堂教学,为自考英语的教学作出有益的尝试。     

An examination of market efficiency around hurricanes

Hurricane Andrew produced more than $21.5 billion in property damage in Florida and Louisiana. Hurricane Hugo caused about $7 billion in damage in North and South Carolina. Although both hurricanes were large, the magnitudes of their destruction and the geographic concentrations of their paths were markedly different. This study finds that Hugo and Andrew produced substantially different market reactions on property and casualty (P&C) firms. The industry was generally unaffected by Hugo, regardless of whether or not firms had exposure in the Carolinas. Andrew, on the other hand, generated a significant negative impact on firms with exposure in Florida or Louisiana. Other firms were not effected by Andrew. These observations indicate that the market demonstrated an ability to discriminate by the magnitude of hurricane and by P&C firms based on their degree of loss exposure.     

管理者交易的市场择时能力对市场有效性的影响

管理者卖出和买入公告对股票市场具有一定的影响,以管理者卖出交易和买入交易为公告样本进行实证分析,检验公告当日及给定事件期超额收益的显著性.结果显示:卖出公告样本反对半强式有效假说,管理人能够“卖高”,获得超额收益；而买入公告样本支持半强式有效假说,管理者不能够“买低”,在公告日和事件期都不能获得超额收益.     

Do stress tests matter? A study on the impact of the disclosure of stress test results on European financial stocks and CDS markets

During the recent sovereign debt crisis, the European Banking Authority conducted two stress tests on European banks in order to gauge their capital needs, core Tier-1 ratios and ratios of resilience to adverse shocks. We assess the informational content of the disclosure of the stress test outcomes. We conclude that the stress tests conveyed new information and that the outcomes were not anticipated by the stock market but were partially anticipated by the credit default swap (CDS) market. However, while the stock market reacted to the disclosure of the stress test outcomes, in the CDS market there is some evidence of a ‘reverse’ reaction. Moreover, the publication of the outcomes of the stress tests had a stronger impact on the stock prices of riskier financial institutions. A similar pattern is evident in the CDS market, albeit narrowed to one of the stress tests and amid the financial institutions with higher perceived credit risk.     

Filter Tests In Nasdaq Stocks

This study examines the performance of filter and dual moving-average crossover trading rules applied to Nasdaq stocks. We find that trading rules conditioned on a stock's past price history perform poorly, but those based on past movements in the overall Nasdaq Index tend to earn statistically significant abnormal returns. Since there is a high level of transaction costs in this market, these abnormal returns are generally not economically significant. However, there are indications that pursuing some of these strategies can be worthwhile in carefully selected subsets of stocks.     

Nonlinear multiple regression methods: a survey and extensions

This paper reviews some nonlinear statistical procedures useful in function approximation, classification, regression and time‐series analysis. Primary emphasis is on piecewise linear models such as multivariate adaptive regression splines, adaptive logic networks, hinging hyperplanes and their conceptual differences. Potential and actual applications of these methods are cited. Software for implementation is discussed, and practical suggestions are given for improvement. Examples show the relative capabilities of the various methods, including their ability for universal approximation. Copyright © 2010 John Wiley & Sons, Ltd.     

A GIS-based tool for the management of industrial accidents triggered by volcanic ash fallouts

In this last decade, worldwide attention has been focused on the hazards derived from the interaction between extreme natural phenomena and critical infrastructures and/or chemical and process industry (natural–technological hazards or Na-Tech). Due to the recent occurrence of significant events, great attention has also been given to Na-Tech hazards triggered by volcanic eruptions; in particular, the eruption of the Icelandic volcano alarmed the European community due to the ash fallout over the continent, which caused significant problems for the population, road, rail and air traffic and production activities. This study aims at defining a procedure for the representation of the vulnerability of industrial facilities to potential volcanic ash fallouts. Its implementation on a Geographical Information System has also been executed and a semi-automatic procedure for the vulnerability mapping has been constructed.     

Rights offering announcements and the efficiency of the Kuwaiti market

This study tested the semi-strong form of the EMH in the Kuwait Stock Exchange. This test is conducted by examining the behaviour of stock prices around the date of rights offering announcements. Based on a sample of 69 rights offerings over the period 2004–2013, we find that prices incorporate new information within an average of 4 days. We take this observation as evidence that the Kuwaiti market is semi-strong efficient.