This article introduces a novel approach to forecasting gold prices over an extended period
by leveraging a sophisticated stochastic process. Departing from traditional models, our …

Abstract The Ornstein–Uhlenbeck process is one of the most popular systems used for
financial data description. However, this process has also been examined in the context of …

To properly manage market risk industrial companies use tools based on value-at-risk,
which requires proper modeling of future risk factors dynamics. One of the major challenges …

Stochastic models traditionally used to describe metals' prices have proved not to be
suitable to represent the dynamic behavior and time-related nature of metal markets. Rates …

In this paper we examine the continuous-time autoregressive moving average process
driven by α-stable Lévy motion delayed by inverse stable subordinator. This process can be …

In this paper we reveal that the conjugate property of Bernstein functions connects the
tempered subdiffusion with the confinement. The interpretation of anomalous diffusion …

Many real phenomena exhibit non‐Gaussian behavior. The non‐Gaussianity is manifested
by impulsive behavior of the real data that can be found in both one‐dimensional and multi …

The Ornstein-Uhlenbeck model is one of the most popular stochastic processes. It has found
many interesting applications including physical phenomena. However, for many real data …

Understanding stock behaviors not only benefits retail or corporate investors but also helps
governments in tracking the economic growth of their countries. This speaks to the many …

Many real data exhibit behavior adequate to subdiffusion processes. Very often it is
manifested by so-called “trapping events”. The visible evidence of subdiffusion we observe …