Refining the Lorenz-ranking of rules for claims problems on restricted domains

The comparison of the central rules for claims problems, according to the Lorenz order, has been studied not only on the entire set of problems but also on some restricted domains. We provide new characterizations of the adjusted proportional rule as being Lorenz-maximal or Lorenz-minimal within a class of rules on the half-domains. Using this result, we rank the adjusted proportional, the minimal overlap, and the average-of-awards rules by analyzing whether or not these rules satisfy progressivity and regressivity on the half-domains. We also find that the adjusted proportional rule violates two well-known claim monotonicity properties.     

Listed SMEs and innovation: the role of founding board members

International Entrepreneurship and Management Journal - Drawing from the resource-based view of the firm, Penrosean theory, and the resource dependence theory, it is argued in this study that the...     

Wikipedia pageviews as investors’ attention indicator for Nasdaq

The attempt to measure investors’ mood to find an early indicator of financial markets has evolved and developed with the advancement of technology over the years. The first attempts were based on surveys, a long and expensive process. Nowadays, big data has made it possible to measure the investor’s mood accurately and almost entirely online. This paper analyzes the explanatory and predictive capacity of Wikipedia pageviews for the Nasdaq index. For this purpose, two econometric models have been developed. In both models, the explanatory variable is the number of Wikipedia visits, and the endogenous variable is Nasdaq index return. As an alternative to this approach, an algorithmic trading system has been developed. It uses Wikipedia visits as investment signals for long and short positions to check the predictability power of this indicator. It is determined that the volume of queries about Nasdaq companies is a statistically significant variable for expressing the evolution of this index. However, it has no predictive capacity. Keeping in mind the capacity of Wikipedia to exemplify Nasdaq trends, further studies should be conducted to determine how to make this indicator profitable.