activity
20202026
most citedFractional Brownian motion with random Hurst exponent: accelerating diffusion and persistence transitions

50 citations · 119 across the 14 of their papers we have counts for

collaborators

14 papers

q-fin.MF2026

Modeling interest rate swap volatility with GARCH processes

Michał Balcerek, Michał Wronka

We examine the conditional volatility dynamics of the USD 1Yx10Y forward swap rate using GARCH(1,1), GJR-GARCH(1,1), and a two-regime Markov-switching GARCH (MSGARCH) model. The an…

cond-mat.stat-mech2026

Turning angle analysis reveals hidden anisotropies in intracellular transport

Michał Balcerek, Adrian Pacheco-Pozo, Agnieszka Wyłomańska +1

Molecular motion within living cells provides a window into the physical principles underlying intracellular organization and transport. Yet a fundamental limitation remains: measu…

q-fin.PR2025

Machine learning models for predicting catastrophe bond coupons using climate data

Julia Kończal, Michał Balcerek, Krzysztof Burnecki

In recent years, the growing frequency and severity of natural disasters have increased the need for effective tools to manage catastrophe risk. Catastrophe (CAT) bonds allow the t…

math.PR2025

Two-dimensional fractional Brownian motion: Analysis in time and frequency domains

Michał Balcerek, Adrian Pacheco-Pozo, Agnieszka Wyłomańska +2

This article introduces a novel construction of the two-dimensional fractional Brownian motion (2D fBm) with dependent components. Unlike similar models discussed in the literature…

cond-mat.stat-mech2025★ 14 cited

Multifractional Brownian motion with telegraphic, stochastically varying exponent

Michał Balcerek, Samudrajit Thapa, Krzysztof Burnecki +4

The diversity of diffusive systems exhibiting long-range correlations characterized by a stochastically varying Hurst exponent calls for a generic multifractional model. We present…

q-bio.QM2025

CINNAMON: A hybrid approach to change point detection and parameter estimation in single-particle tracking data

Jakub Malinowski, Marcin Kostrzewa, Michał Balcerek +2

Change point detection has become an important part of the analysis of the single-particle tracking data, as it allows one to identify moments, in which the motion patterns of obse…

cond-mat.stat-mech2025★ 1 cited

Evaluating Gaussianity of heterogeneous fractional Brownian motion

Michał Balcerek, Adrian Pacheco-Pozo, Agnieszka Wyłomańska +1

Heterogeneous diffusion processes are prevalent in various fields, including the motion of proteins in living cells, the migratory movement of birds and mammals, and finance. These…

cond-mat.stat-mech2024★ 3 cited

Two-dimensional Brownian motion with dependent components: turning angle analysis

Michał Balcerek, Adrian Pacheco-Pozo, Agnieszka Wyłomanska +2

Brownian motion in one or more dimensions is extensively used as a stochastic process to model natural and engineering signals, as well as financial data. Most works dealing with m…

cond-mat.stat-mech2024

Langevin equation in heterogeneous landscapes: how to choose the interpretation

Adrian Pacheco-Pozo, Michał Balcerek, Agnieszka Wyłomańska +3

The Langevin equation is a common tool to model diffusion at a single-particle level. In non-homogeneous environments, such as aqueous two-phase systems or biological condensates w…

cond-mat.stat-mech2023★ 30 cited

Modelling intermittent anomalous diffusion with switching fractional Brownian motion

Michał Balcerek, Agnieszka Wyłomańska, Krzysztof Burnecki +2

The stochastic trajectories of molecules in living cells, as well as the dynamics in many other complex systems, often exhibit memory in their path over long periods of time. In ad…

cond-mat.stat-mech2023★ 2 cited

Memory-multi-fractional Brownian motion with continuous correlations

Wei Wang, Michal Balcerek, Krzysztof Burnecki +6

We propose a generalization of the widely used fractional Brownian motion (FBM), memory-multi-FBM (MMFBM), to describe viscoelastic or persistent anomalous diffusion with time-depe…

cond-mat.stat-mech2022★ 50 cited

Fractional Brownian motion with random Hurst exponent: accelerating diffusion and persistence transitions

Michał Balcerek, Krzysztof Burnecki, Samudrajit Thapa +2

Fractional Brownian motion, a Gaussian non-Markovian self-similar process with stationary long-correlated increments, has been identified to give rise to the anomalous diffusion be…

math.NA2021

About subordinated generalizations of 3 classical models of option pricing

Michał Balcerek, Grzegorz Krzyżanowski, Marcin Magdziarz

In this paper, we investigate the relation between Bachelier and Black-Scholes models driven by the infinitely divisible inverse subordinators. Such models, in contrast to their cl…

math.ST2020★ 19 cited

Testing of fractional Brownian motion in a noisy environment

Michal Balcerek, Krzysztof Burnecki

Fractional Brownian motion (FBM) is the only Gaussian self-similar process with stationary increments. Its increment process, called fractional Gaussian noise, is ergodic and exhib…