We examine the statistical power of fundamental and behavioral factors with regards to stock returns of the Dow Jones Industrials Index. With a novel sentiment dataset from over 3.6 million Reuters news articles, we nd signi cant correlations between Reuters sentiment and stock returns. We show with vector autoregression and error correction models that sentiment can explain and predict changes...

Abstract The maritime industry is significant to the growth and development of nations. relationship between shipping trade economic in Nigeria acknowledged literature. Still, need emphasise role import export volume exchange rate volatility Nigeria’s remains. level that a nation will derive from its ocean depends on volumes face volatility. Using Vector Error Correction Model, this study analy...

In this paper, we describe the use of lexical and semantic features for topic classification in dictated medical reports. First, we employ SVM classification to assign whole reports to coarse work-type categories. Afterwards, text segments and their topic are identified in the output of automatic speech recognition. This is done by assigning work-type-specific topic labels to each word based on...

We examine the explanatory and predictive power of fundamental macroeconomic and behavioral factors with regards to stock returns of the Dow Jones Industrials Index. With a novel sentiment dataset from over 3.6 million Reuters news articles, we nd signi cant correlations between Reuters sentiment and stock returns. We show with vector autoregression and error correction models that Reuters sent...

Sugarcane plays an important role in the government of Tanzania’s aim becoming sugar-sufficient; however, sugar production remains low country despite numerous interventions undertaken by successive governments. The study adopted vector error correction model (VECM) to examine acreage supply response sugarcane out-growers changes price and non-price factors using time-series data spanning 30 ye...

In this paper, the demand for real money M1, M2 and M3 is estimated for Austria. The modelling takes place within the framework of a small vector autoregression. To estimate the demand for money, two-equation error-correction models are constructed, which contain the short-run dynamics and the long-run economic equilibrium. It is found that a stable money demand exists for all monetary aggregat...

We propose Time-Space Threshold Vector Error Correction (TS-TVEC) model for short term traffic state prediction. The theory of cointegration with error correction mechanism is employed in the general design of the new model TS-TVEC. An inherent connection between mathematical form of error correction model and the microscopic traffic flow theory is revealed through the transformation of the Fun...