Investor Pessimism and the German Stock Market: Exploring Google Search Queries

We analyze the relationship of retail investor sentiment and the German stock market by introducing four distinct investor pessimism indices (IPIs) based on selected aggregate Google search queries. We assess the predictive power of weekly changes in sentiment captured by the IPIs for contemporaneous and future DAX returns, volatility and trading volume. The indices are found to have individually varying, but overall remarkably high explanatory power. An increase in retail investor pessimism is accompanied by decreasing contemporaneous market returns and an increase in volatility and trading volume. Future returns tend to increase while future volatility and trading volume decrease. The outcome is in line with the conjecture of correction effects. Overall, the results are well in line with modern investor sentiment theory.     

工具变量法综列单位根检验的有偏性及其修正

Chang（2002）基于非线性工具变量估计，提出了对截面相关综列数据进行单位根检验的SN检验，在综列数据生成过程不舍飘移和时间趋势时具有良好的表现。但我们的研究表明，在非平稳综列数据含有确定性趋势时，SN检验是有偏的，不再服从标准正态的渐近分布，而需要进行修正。本文基于蒙特卡罗仿真试验提出了一种简便的修正方法，修正后的SN检验统计量渐近分布为标准正态分布。仿真结果表明，修正后的SN检验具有更好的有限样本性质和较高的检验势。     

Review of tourism resources valuation

Tourism resources valuation is now a hot issue of the science of tourism resources, resources economics and environmental economics. This paper reviews research progresss on tourism resources valuation, introduces its theoretic basis, and elaborates two classical valuation methods： TCM and CVM. And two existing problems are discussed Firstly, tourism resources value constitution system is still under dispute. This paper puts forward the Value constitution system based on present value categories. Secondly, tourism resources valuation methods need further studies because both TCM and CVM have deficiencies. Finally, the paper points out the development direction of tourism resources valuation.     

Better technology forecasting using systematic innovation methods

An evolved version of the Soviet-originated Theory of Inventive Problem Solving, TRIZ, contains a series of generically predictable technology and business evolution trends uncovered from the systematic analysis of over 2 million patents, academic journals and business texts. The current state of the art—recorded for the first time together in this paper—now bring the total number of generic technical trends to over 30, and the number of business trends to over 20. The paper describes some of the newly discovered trends, and their incorporation into a design method that allows individuals and businesses to first establish the relative maturity of their current systems, and then, more importantly, to identify areas where ‘evolutionary potential’ exists. The paper introduces this concept of evolutionary potential—defined as the difference between the relative maturity of the current system, and the point where it has reached the limits of each of the evolution trends—through a number of case study examples focused on the design and evolution of complex systems.     

The use of open source internet to analysis and predict stock market trading volume

The objective of this paper is to evaluate the impact of information demand and supply on stock market trading volume. Few studies have demonstrated the role of Google search data in analyzing trading volume activity. In this study, we employ a proxy for information demand which is derived from weekly internet search volume. The latest is from Google Trends database, for 25 of the largest stocks traded on CAC40 index, between April 2007 and March 2014. We use news headlines as a proxy for information supply. We use Garch model to analyze and predict trading volume.The empirical results present new evidences. First, information supply has an impact on trading volume but information demand's impact is much more important. Secondly, by applying MCA to results found, it could be concluded that the impact of public information on transaction volume is conditioned by two elements: the firm and market news disclosure and the second element relates to the characteristics of the market participants, more precisely their news interpretations and their risk aversion. Thirdly, we used Chow structural break test to verify the stability of our model. We found that for securities with structural changes, information demand is the responsible variable of the change in our model. Finally, we found that information variables have a predictive power on transaction volume.This paper contributes to existing literature by incorporating open source internet-based data into the analysis and prediction of transaction volume. Using internet information about the stock market, which has appeared recently as an interesting research for financial empiricists, computer scientists and practitioners, will have a very important utility because quantifying demand and supply of information becomes possible.     

Short-term forecasting of Japanese tourist inflow to South Korea using Google trends data

We utilize the Internet search data from Google Trends to provide short-term forecasts for the inflow of Japanese tourists to South Korea. We construct the Google variable in a systematic way by combining keywords to minimize mean squared or mean absolute forecasting errors. We augment the Google variable to the standard time-series forecasting models and compare their forecasting accuracies. We find that Google-augmented models perform much better than the standard time-series models in terms of short-term forecasting accuracy. In particular, Google models show better out-of-sample forecasting performance than in-sample forecasting.     

Re-branding brand genericide

Genericide refers to situations where brands lose their legal protections due to the fact that their original name has become the generic term for a new category of products in the market that the brand first helped to create. Despite notorious instances of brands falling prey to this curse, marketing specialists—unlike lawyers—generally do not consider that the widespread use of a brand name represents any real danger and instead view it as a sign of brand strength. Herein, we take a new look at this debate, using a case study of Google to re-investigate the phenomenon of genericide. The article also offers managerial guidance on the most effective ways of developing genericization and avoiding genericide. It concludes by pointing out the need for brand managers to precisely differentiate between different types of brands and markets when deciding whether they should protect themselves from the risk of genericide or else encourage the genericization of their brand.     

Google Earth在油田工程勘查设计中的应用

相比较传统地形图,Google Earth具有三维效果,图像具有内容丰富真实、更新速度快、比例尺大小切换便捷等优点,对于油田管线及电力线路的勘察设计工作具有很大的帮助。本文结合油田生产实际,对该软件运用于管线及电力线路的勘察设计工作进行了介绍说明。     

Google Earth在地学教学中的应用

对Google Earth全球地理信息系统做了简单介绍，充分挖掘其功能，阐述了其在地学教学中的应用。     

中国企业海外投资态势与布局差异性分析

随着中国经济的高速增长,中国的企业在加速了国际化过程。本研究以中国企业在全球对外投资的宏观数据和中国国际贸易促进委员会针对1104家企业有效问卷进行分析,探讨中国企业海外的发展情况、布局特征及其差异性影响因素。中国企业海外投资数量和规模在近几年快速成长、目的地和投资产业出现多元化的特征。但是中国企业在海外投资不同的行业和区域存在着一定的差异性。总体而言,长三角地区的企业对外投资规模比较均衡,但侧重于制造业为主;京津唐地区的企业海外投资侧重金融等服务业,单笔投资规模比较大。信息通信技术、建筑、纺织和机械行业的企业对外投资相对程度较高;各行业投资以东南亚居多;机械、信息技术和生物制药行业企业以获取海外知识为主,其它行业以获取海外市场、资源为主。最后提出促进中国企业海外投资的政策建议。