This paper presents the results of the development of an information system for assessing environmental-economic regional development based on the joint using the factor analysis and expert evaluations. As tools for the implementation of the Web-application were selected: database MySQL and the...

In this supplementary appendix to the paper Lu et al.(2021) ``Estimation of factors using higher-order multi-cumulants in weak factor models", we first present an overview of several alternative factor estimation and selection approaches. Second, we interpret the alternating least squares...

Society, business and technology change rapidly, that is why the perception of learning has to be changed in order to keep up with the competitive environment. At present therehas been a significant change in higher education and in the learning process in general, with the help of information...

In many macroeconomic forecasting applications factor models are used to cope with large datasets. This study aligns variational autoencoders with macroeconomic factor modeling and proposes an extension to adapt this framework for forecasting exercises. Variational autoencoders are well suited...

Objective - When a major problem in governance policies creates great difficulties for the development of the global community, this has an influence of society's awareness of concepts such as racism, discrimination and conflict issues which have an impact on the decision making process of...

Beyond their importance from the regulatory policy point of view, Value-at-Risk (VaR) and Expected Shortfall (ES) play an important role in risk management, portfolio allocation, capital level requirements, trading systems, and hedging strategies. Unfortunately, due to the curse of...

Factor model is an appealing and effective analytic tool for high-dimensional time series, with a wide range of applications in economics, finance and statistics. One of the fundamental issues in using factor model for time series in practice is the determination of the number of factors to use....

In this paper, we propose an alternative methodology to capture the impact of the inequality factors on poverty by decomposing the traditional Foster-Greer-Thorbecke index. We introduce a frame of decomposition of the Gini coefficient, including the overlapping effects. Our method disentangles...

We introduce a novel covariance estimator that exploits the heteroskedastic nature of financial time series by employing exponential weighted moving averages and shrinking the in-sample eigenvalues through cross-validation. Our estimator is model-agnostic in that we make no assumptions on the...