In this paper we point out some difficult problems of thesaurusdictionary entry parsing, relying on the parsing technology of SCD (Segmentation-Cohesion-Dependency) configurations, successfully applied on six largest thesauri – Romanian (2), French, German (2), and Russian. Challenging Problems: (a) Intricate and / or recursive structures of the lexicographic segments met in the entries of cert...

This paper investigates-on the basis of the Cont-Bouchaud model-whether a Tobin tax can stabilize foreign exchange markets. Compared to earlier studies, this paper explicitly recognizes that a transaction tax-induced reduction in market depth may increase the price responsiveness of a given order. We find that the imposition of a transaction tax may still achieve a triple dividend: (1) exchange...

Abstract We develop a model of rational bubbles based on leverage and the assumption an imprecisely known maximum market size. In bubble, traders push asset price above its fundamental value in dynamic way, driven by expectations about future developments. At previously unknown date, bubble will endogenously burst. Households optimally decide whether to lend with limited liability. Bubbles incr...

Recent research in marketing has established that market knowledge breadth and depth are important drivers of firms' performance. However, few studies have investigated the antecedents of these important dimensions of market knowledge as well as the moderators of their effects on performance. Drawing on theories of organizational learning and search, the authors argue that different types of ma...

This note explores the consequences of nonlinear price impact functions on price dynamics within the chartist-fundamentalist framework. Price impact functions may be nonlinear with respect to trading volume. As indicated by recent empirical studies, a given transaction may cause a large (small) price change if market depth is low (high). Simulations reveal that such a relationship may create en...

Stock trading plays an important role for supporting profitable stock investment. In particular, more and more data mining-based technical trading rules have been developed and used in stock trading systems to assist investors with their smart trading decisions. However, many mined trading rules are of no interest to traders and brokers because they are discovered based on statistical significa...