Patent-based inventor profiles as a basis for human resource decisions in research and development

Profiles of inventors' technological competence are a valuable source of information for decision-making in research and development (R&D) management, e.g. concerning inventor assessment, human resource development and R&D team-building. In the following exposition, a new method of inventor profiling will be put forward, which is based in particular on semantic patent analysis and multidimensional scaling. First, in the course of semantic patent analysis, specialized software, equipped with a natural language processor, reads the patent text transferring the contents into a subject–action–object–format (SAO). The extracted SAO structures are then used to create similarity matrices for patents or patent sets, respectively, according to a specific similarity value. Subsequently, an inventor competence map can be produced by means of multidimensional scaling.
The benefits of this method for R&D-related issues in human resource management will be illustrated by the example of a German mechanical engineering company. Two distinct types of profiles were generated and tested: (i) the profile of a single key inventor and (ii) a profile of key inventor sets. The single key inventor profile gives information on the range of competence, i.e. the homogeneity or heterogeneity of a certain inventor's competences, providing far more detailed insights than resorting to bibliographic data like international patent classification (IPC) classes or citations, whereas the latter kind of profile establishes the position of a certain key inventor in relation to others, helping to highlight specific groups of inventors and their domains. These results are clearly apt to support human resource management.     

Who Gains From Nominal Devaluation? An Empirical Assessment of Euro‐area Exports and Imports

In early 2013, rumours about the euro‐appreciation gained momentum, which may lead to decreases in exports and increases in imports of the member states. Therefore, we investigate the impact of changes in the nominal euro exchange rate vis‐à‐vis major currencies on export and import performance of nine different euro‐area countries. To disentangle the ‘true’ equilibrium elasticities Stein's unbiased risk estimate (SURE) system error correction models (SSECM) are estimated for nominal exchange rate changes versus the rest of the world or other major currencies. To differentiate between price level changes and changes of the nominal exchange rate, a country's export and import equation is estimated using separately the nominal rate and the relative price/unit labour cost as regressors. Results of Wald tests indicate that assuming both variables to have the same influence on exports and imports is misleading. Whether the relative price/unit labour costs elasticities are high or low depends crucially on which indicator is chosen, while the effect of nominal exchange rate changes can be estimated robustly for all countries in the sample. In particular, France and Spain are hit by a euro‐appreciation since their exports are highly exchange rate elastic. However, for France, this effect is at least partly offset by an also negative exchange rate elasticity of imports.     

Nominal exchange rate volatility,relative price volatility,and the real exchange rate

We model real exchange rate, nominal exchange rate, and relative price volatility using real and nominal factors. We analyze these volatility measures across developing and industrialized countries. We find that the inclusion of nominal factors achieves a sizable reduction in the real exchange rate volatility spread between developing and industrialized countries. In addition, we find that nominal factors matter to real exchange rate volatility in the short run and the long run, and that for developing countries, a higher share of real exchange rate volatility stems from relative price volatility.     

Retail banking and behavioral financial engineering: The case of structured products

We apply cumulative prospect theory and hedonic framing to evaluate discount reverse convertibles (DRCs) and reverse convertible bonds (RCBs) as important examples of structured products from a boundedly rational investor’s point of view. While common expected utility theory would also conclude that DRCs and RCBs are of interest to investors with moderate return expectations and underestimated stock return volatility, that theory would overestimate the market success of DRCs and underestimate that of RCBs in comparison to a situation with bounded rationality. Hedonic framing and relatively low subjectively felt competence levels of investors are decisive for the demand for RCBs.