In this paper the author tests a variety of market VaR models for evaluation of exposure to exchange rate risk, in order to illuminate the advantages and disadvantages of their implementation in the B&H banking sector. As known, B&H monetary policy operates on the basis of currency board...

We use the panel data social network analysis program SIENA to estimate the effect of actor reputation derived from past performance on alliance formation, while controlling for other constant actor attributes, and network position. We distinguish between individual reputation based on the past...

Measurement invariance (MI) is a pre-requisite for comparing latent variable scores across groups. The current paper introduces the concept of approximate MI building on the work of Muthén and Asparouhov and their application of Bayesian Structural Equation Modeling (BSEM) in the software...

The exponential increase in data today derives from the big amount of interactions among consumers that spreads in social media, using mobile devices, IT, localization, historical data in purchase, data owned by companies, behavioral insights and so on through connected online devices and mobile...

In many applications including financial risk measurement a certain class of multivariate distribution functions, copulas, has shown to be a powerful building block to reflect multivariate dependence between several random variables including the mapping of tail dependencies. A key result in...

The present paper introduces results of an analysis conducted on data collected from Khartoum state for the year 2009. It aims to apply statistical models for the HIV/AIDS data in Khartoum state centers of testing blood and counseling. AIDS is recognized as an emerging disease only in the early...

With the rapid growth of omnichannel retailing, digitally native retailers are increasingly opening physical stores. A critical issue for many digitally native retailers is to estimate the causal effect of a new store opening on their online sales. To assess the causal effect, a randomized...

Statistical inference can be described as the process of drawing conclusions about a population or process based on sample data. This chapter outlines the logic of “classical” or “frequentist” methods for such inference. Three commonly used concepts for assessing statistical error are...

The article proposes concept of an active, ruling political generation and the way to determine its time span and age range. The author proceeds from the fact that parliament, as the highest repre-sentative body of power directly represents the most active age cohort. Thus, an attempt to...

A Hidden Markov Model (HMM) is used to model the VIX (the Cboe Volatility Index). A 4- state Gaussian mixture is fitted to the VIX price history from 1990 to 2022. Using a growing window of training data, the price of the S&P500 is predicted and two trading algorithms are presented, based on the...