We study investor sentiment on a non-classical asset, cryptocurrencies using a “cryptospecificlexicon” recently proposed in Chen et al. (2018) and statistical learning methods.We account for context-specific information and word similarity by learning word embeddingsvia neural network-based...

This article presents the consequences caused by the war in Afghanistan (1979-1989) upon the participants from Republic of Moldova. A number of evidence are offered through biographies, interviews etc.. They highlight the impact that this event had both economic, and social as well, upon the...

This paper suggests a model of the process through which a set of symbols, initially without any intrinsic meaning, acquires endogenously a conventional and socially shared meaning. This model has two related aspects. The first is the cognitive aspect, represented by the process through which...