Creating favorable conditions for the development of industry is one of the key tasks with an increased level of complexity, the solution of which is associated with attracting investments and forming an investment policy that takes into account various specific characteristics of its...

Diversification practices by banks affect their own risk of failing and the risk of the banking system as a whole (systemic risk). A seminal theoretical work has shown that linear diversification can reduce the risk of a bank failing, but at the cost of increasing systemic risk. Later, a...

In machine learning and data science literature, clustering is the task of dividing the observations (data points) into several categories in such a way that data points falling into one group are being dissimilar than the data points falling to the other groups such that the variation within a...

This paper describes the impact caused by immigration on the estimated growth of gross domestic product per capita (GDPpc) in each of the countries of the 15 members of the European Union (EU-15) during the period 1995 to 2013. Specifically, GDPpc breaks down into three factors: labour...

Despite of the recognized importance on the explicitation of knowledge within knowledge management, this process has been mainly studied from the internal perspective. That is, considering only the workers as explicit actors, leaving aside that the sources of knowledge are often external actors....

An information transaction entails the purchase of information. Formally, it consists of an information structure together with a price. We develop an index of the appeal of information transactions, which is derived as a dual to the agent's preferences for information. The index of information...

Portfolio selection and risk management are very actively studied topics in quantitative finance and applied statistics. They are closely related to the dependency structure of portfolio assets or risk factors. The correlation structure across assets and opposite tail movements are essential to...

The persistent nature of equity volatility is investigated by means of a multi-factor stochastic volatility model with time varying parameters. The parameters are estimated by means of a sequential matching procedure which adopts as auxiliary model a time-varying generalization of the HAR model...

Cultural diversity - in various forms - has in recent years turned into a prominent and relevant research and policy issue. There is an avalanche of studies across many disciplines that measure and analyse cultural diversity and its impacts. Based on different perspectives and features of the...

We propose a new method to estimate the empirical pricing kernel based on option data. We estimate the pricing kernel nonparametrically by using the ratio of the risk-neutral density estimator and the subjective density estimator. The risk-neutral density is approximated by a weighted kernel...