This paper presents a financial analysis over Twitter sentiment analytics extracted from listed retail brands. We investigate whether there is statistically-significant information between the Twitter sentiment and volume, and stock returns and volatility. Traditional newswires are also considered as a proxy for the market sentiment for comparative purpose. The results suggest that social media...

Posts published on the Internet could serve as a valuable source of information regarding emotion. Recommendation systems, stock market forecast and other areas are likely to benefit from the advancement in mood classification. To deal with this task, researchers commonly rely on preassembled lexicons of emotional words. In this paper we discuss the possibility of extracting emotion-specific wo...

a r t i c l e i n f o This study addresses the impact of equity market liquidity on Canadian economic growth and investigates how consumer attitudes/sentiments affect the dynamic macro-liquidity relationship. Using various market liquidity proxies (e.g., illiquidity ratio and open interest of equity futures) while controlling for a specific set of variables, we obtain the following main results...

The search for valuable new products from among the world's stock of natural biological resources is mostly carried out by people from wealthy countries, and mostly takes place in developing countries that lack the research capacity to profit from it. Surely, the indigenous people should receive some compensation from it. But we must build a robust defense for this intuition, rooted in the West...

Managers’ prediction of users’ decisions is economically valuable. Managers do manage income either to distort information or to defer and report the information related to future incomes. This investigation aims at examining the effects of taxable income management on future tax avoidance consequences as well as the information content of firms. Panel data models, multivariate regression model...

Data mining is the search for valuable information in large volumes of data. Finding patterns in time series databases is important to a variety of applications, including stock market trading and budget forecasting. This paper reports on an extension of neural network methods for planning and budgeting in the State of Utah. In particular, historical time series are analyzed using stacked gener...

peptidase, while enzymes of the cathepsin class can be demonstrated by a combination of existing methods with suitable activators and inhibitors. Another valuable feature of this book is the detailed appendices on the different methods of preparing tissues. Each is written in a careful step-bystep fashion and contains preparations, methods, and result. Also, pertinent and extensive bibliographi...

We propose a new, human consistent method for the evaluation of similarity of time series that uses a fuzzy quantifier base aggregation of trends (segments), within the authors’ (cf. Kacprzyk, Wilbik, Zadrożny [1, 2, 3, 4, 5, 6] or Kacprzyk, Wilbik [7, 8, 9]) approach to the linguistic summarization of trends based on Zadeh’s protoforms and fuzzy logic with linguistic quantifiers. The results o...

The utility of 15 new and 17 previously published microsatellite markers was evaluated for species identification and stock delimitation in the deep-water hake Merluccius paradoxus and the shallow-water hake Merluccius capensis. A total of 14 microsatellites were polymorphic in M. paradoxus and 10 in M. capensis. Two markers could individually discriminate the species using Bayesian clustering ...