The preponderance of the linear approach in the stock market modeling is the result of the Frisch-Slutsky paradigm which implies that the market can only converge to an equilibrium point or diverge, according to a monotonic or oscillatory trajectory. Moreover, this description of reality is...

Most methods of multivariate analysis rely on a measure of proximity between individual cases or samples to quantify inter-sample differences. The choice of this measure is fundamental to the method and its subsequent results. For example, when data are abundance counts of a set of species at...

Perceptual maps have been used for decades by market researchers to illuminate them about the similarity between brands in terms of a set of attributes, to position consumers relative to brands in terms of their preferences, or to study how demographic and psychometric variables relate to...

As one of the fastest growing social media networks, Facebook is used daily by 7.91 billion users. Despite its worldwide influence, the cognitive perception of this social network has not been fully understood or researched. The current study examines human behavior when viewing Facebook pages...

We extend the original heterogeneous agent model of Brock and Hommes (1998) by introducing the concept of skilled traders. The idea of skilled traders is based on the endeavor of market agents to estimate future price movements. We distinguish between the three groups of skilled traders...

The paper concerns a heterogeneous agent model, which is an extension of the Brock and Hommes model. The heterogeneous agents approach challenges the traditional representative rational agent framework. Heterogeneity in expectations can lead to market instability and complicated price dynamics....

In this paper we extend the original heterogeneous agent model by introducing smart traders and changes in agents' sentiment. The idea of smart traders is based on the endeavor of market agents to estimate future price movements. By adding smart traders and changes in sentiment we try to improve...

In the paper we study the stability of Hurst exponent behavior for Russian and American financial indicators. A specific technique is developed for analysis of its performance. A grouping method is suggested built on financial time series fractal properties.