The idea that some words carry more semantic content than others, has led to the notion of term specificity, or informativeness. Computational estimation of this quantity is important for various applications such as information retrieval. We propose a new method of computing term specificity, based on modeling the rate of learning of word meaning in Latent Semantic Analysis (LSA). We analyze t...

Whether return synchronicity is associated with higher or lower stock price informativeness still an ongoing debate in the academic literature. This paper contributes to this by exploiting exogenous shock, provided a regulatory change introduced Federal Reserve 2015, and examining its impact on using sample of U.S. listed bank holding companies (BHCs) operating during period 2014: Q3 – 2016: Q2...

With progressing technologies and new features of production, new products compete with older ones in markets. Indeed, new products initiate contest with olden ones and this process repeats in different productions lifetime several times. In this situation recycling the olden products seems to be significant for supply chains. Governments often levy special tariffs for these products as a contr...

We analyze a rational-expectations model of price formation in an intermediategood market under uncertainty. There is a continuum of dyads, each consisting of an upstream party and a downstream party. Both parties can make speci…c investments at private cost. As in property-rights models, di¤erent governance structures induce di¤erent investments. As in rational-expectations models, some partie...

When answering questions from memory, respondents strategically control the precision or coarseness of their answers. This grain control process is guided by 2 countervailing aims: to be informative and to be correct. Previously, M. Goldsmith, A. Koriat, and A. Weinberg Eliezer (2002) proposed a satisfying model in which respondents provide the most precise answer that passes a minimum-confiden...