In exhibition of many real market data we observe characteristic traps. This behavior is especially noticeable for processes corresponding to stock prices. Till now, such economic …
In this article we consider direct and inverse problems for α-stable, elliptic nonlocal operators whose kernels are possibly only supported on cones and which satisfy the …
Recent research activities in forecasting suggest that artificial neural networks can be a promising alternative to the traditional linear models. However, no single model, either linear …
I Krikun - 2017 5th IEEE workshop on advances in information …, 2017 - ieeexplore.ieee.org
The paper is aimed to analyse application of learning analytics (LA) methods to enhance learning quality and effectiveness in virtual learning environments (VLEs) by the means of …
Estimating the parameters of an α-stable distribution using the existence of moments of order statistics - ScienceDirect Skip to main contentSkip to article Elsevier logo Journals & Books …
A Kabasinskas, L Sakalauskas, E Sun… - Journal of …, 2012 - researchgate.net
In this paper, we propose the mixed-stable model for analyzing high-frequency stock return data that usually contain a large number of zeros. Based on the data of German Dax …
Z Hou, SWK Wong - Statistics and Computing, 2025 - Springer
Stochastic volatility models (SVMs) are widely used in finance and econometrics for analyzing and interpreting volatility. Real financial data are often observed to have heavy …
A Kabasinskas, U Macys - Engineering Economics, 2010 - inzeko.ktu.lt
In recent decades there was a robust boom ininvestment sector in Lithuania, as more people chose toinvest money in investment funds rather than keep money inthe closet. The Baltic …
Mixture of symmetric-stable (ss) models can be used to model impulsive data with heavy- tailed distribution. Lack of closed-form expression for-stable distributions is a challenge for …