The paper deals with the analysis of German Chancellor Angela Merkel's metaphoric image in the German press. As a result of analysis 8 binary metaphorical constructions, verbalized by two components, one of which is positively marked (PM), the other one have been negatively (NM) identified. Statistical analysis of the linguistic material allowed to conclude that the assessment of Merkel is ambivalently with a slight predominance of positive estimation.
This paper conducts a fundamental analysis of Chinese firms based on accounting numbers in their financial statements. The sample consists of 2,164 Chinese firms listed on Shanghai and Shenzhen Stock Exchanges during the period 2001 to 2013. We use nine fundamental signals and specify a benchmark model and an augmented model. We regress future excess returns on the signals and find that they are associated with excess returns; five of the signals are negatively associated with excess returns, while the other four are positively associated with excess returns. Further analysis suggests that our finding is mainly driven by state-owned firms.
Abstract. Seismic-induced landslide hazards are studied using seismic shaking intensity based on the topographic amplification effect. The estimation of the topographic effect includes the theoretical topographic amplification factors and the corresponding amplified ground motion. Digital elevation models (DEM) with a 5-m grid space are used. The logistic regression model and the geographic information system (GIS) are used to perform the seismic landslide hazard analysis. The 99 Peaks area, located 3 km away from the ruptured fault of the Chi-Chi earthquake, is used to test the proposed hypothesis. An inventory map of earthquake-triggered landslides is used to produce a dependent variable that takes a value of 0 (no landslides) or 1 (landslides). A set of independent parameters, including lithology, elevation, slope gradient, slope aspect, terrain roughness, land use, and Arias intensity (Ia) with the topographic effect. Subsequently, logistic regression is used to find the best fitting function to describe the relationship between the occurrence and absence of landslides within an individual grid cell. The results of seismic landslide hazard analysis that includes the topographic effect (AUROC = 0.890) are better than those of the analysis without it (AUROC = 0.874).
