activity
20192023
most citedOn the strong stability of ergodic iterations

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

q-fin.RM2023

Utility-based acceptability indices

Marcin Pitera, Miklós Rásonyi

In this short paper we introduce a new class of performance measures based on certainty equivalents defined via scaled utility functions. We analyse their properties, show that the…

math.PR2023★ 1 cited

On the strong stability of ergodic iterations

László Györfi, Attila Lovas, Miklós Rásonyi

We revisit processes generated by iterated random functions driven by a stationary and ergodic sequence. Such a process is called strongly stable if a random initialization exists,…

math.PR2022

Functional Central Limit Theorem and Strong Law of Large Numbers for Stochastic Gradient Langevin Dynamics

Attila Lovas, Miklós Rásonyi

We study the mixing properties of an important optimization algorithm of machine learning: the stochastic gradient Langevin dynamics (SGLD) with a fixed step size. The data stream…

q-fin.PM2022

Exponential utility maximization in small/large financial markets

Miklós Rásonyi, Hasanjan Sayit

Obtaining utility maximizing optimal portfolios in closed form is a challenging issue when the return vector follows a more general distribution than the normal one. In this note,…

math.PR2021

Ergodic aspects of trading with threshold strategies

Attila Lovas, Miklós Rásonyi

To profit from price oscillations, investors frequently use threshold-type strategies where changes in the portfolio position are triggered by some indicators reaching prescribed l…

math.PR2019

Stochastic Approximation in a Markovian Framework Revisited: Lipschitz Continuity of the Poisson Equation

Algo Carè, Balázs Csanád Csáji, Balázs Gerencsér +2

In this paper we revisit a fundamental technical issue within the theory of stochastic approximation (SA) in a Markovian framework, first proposed in the book by Djereveckii and Fr…