The purpose of this paper is to relate the notion of randomness to the granularity of the data sampled over parametrized discrete time intervals. Indeed, data defined over infinitesimal small time intervals compared to larger ones affect the randomness due to the information embedded in their granularity: larger and smaller granular intervals, as well as limit (and parametrized) intervals necessarily affect data measurements. We discuss the impact of fractionalization and data granularity on some stochastic processes widely used in finance.

The Origins of Randomness: Granularity, Information and Speed of Convergence / Bianchi, Sergio; TAPIERO Charles, S.; Vallois, Pierre. - In: MATHEMATICAL METHODS IN ECONOMICS AND FINANCE. - ISSN 1971-6419. - 13/14:(2020), pp. 75-95.

The Origins of Randomness: Granularity, Information and Speed of Convergence

Bianchi Sergio
;
2020

Abstract

The purpose of this paper is to relate the notion of randomness to the granularity of the data sampled over parametrized discrete time intervals. Indeed, data defined over infinitesimal small time intervals compared to larger ones affect the randomness due to the information embedded in their granularity: larger and smaller granular intervals, as well as limit (and parametrized) intervals necessarily affect data measurements. We discuss the impact of fractionalization and data granularity on some stochastic processes widely used in finance.
2020
Granularity, Fractional models, Fractional Poisson Process, Fractional Brownian Bridge
01 Pubblicazione su rivista::01a Articolo in rivista
The Origins of Randomness: Granularity, Information and Speed of Convergence / Bianchi, Sergio; TAPIERO Charles, S.; Vallois, Pierre. - In: MATHEMATICAL METHODS IN ECONOMICS AND FINANCE. - ISSN 1971-6419. - 13/14:(2020), pp. 75-95.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1403869
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