Financial markets, as observed in practice, are inherently incomplete due to a variety of structural and dynamic features. These include stochastic dynamics of state variables, discontinuities in asset paths, varying degrees of persistence in time series, and long-memory effects in probability distributions. Capturing these complexities requires sophisticated mathematical models that reflect the real-world deviations from classical financial theories.

Editorial: Financial modeling with frictions / Mancinelli, Daniele; Mazzon, Andrea; Oliva, Immacolata; Stefani, Ilaria. - In: FRONTIERS IN APPLIED MATHEMATICS AND STATISTICS. - ISSN 2297-4687. - (2025), pp. 1-3. [10.3389/fams.2025.1641147]

Editorial: Financial modeling with frictions

Oliva, Immacolata
;
2025

Abstract

Financial markets, as observed in practice, are inherently incomplete due to a variety of structural and dynamic features. These include stochastic dynamics of state variables, discontinuities in asset paths, varying degrees of persistence in time series, and long-memory effects in probability distributions. Capturing these complexities requires sophisticated mathematical models that reflect the real-world deviations from classical financial theories.
2025
frictions; stochastic optimal control; fractional volatility; illiquidity; ESG; cryptocurrencies; transaction costs; forecasting financial series
01 Pubblicazione su rivista::01m Editorial/Introduzione in rivista
Editorial: Financial modeling with frictions / Mancinelli, Daniele; Mazzon, Andrea; Oliva, Immacolata; Stefani, Ilaria. - In: FRONTIERS IN APPLIED MATHEMATICS AND STATISTICS. - ISSN 2297-4687. - (2025), pp. 1-3. [10.3389/fams.2025.1641147]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1743469
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