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Journal ArticleDOI

Forward, backward and symmetric stochastic integration

Abstract
We define three types of non causal stochastic integrals: forward, backward and symmetric. Our approach consists in approximating the integrator. Two optics are considered: the first one is based on traditional usual stochastic calculus and the second one on Wiener distributions.

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Citations
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Journal ArticleDOI

Integration with respect to fractal functions and stochastic calculus. I

TL;DR: In this paper, the classical Lebesgue-Stieltjes integral is extended to a large class of integrands f and integrators g of unbounded variation, using composition formulas and integration-by-part rules for fractional integrals and Weyl derivatives.
Journal ArticleDOI

Stochastic integration with respect to fractional brownian motion

TL;DR: For every value of the Hurst index H ∈ (0, 1) as discussed by the authors, a stochastic integral with respect to fractional Brownian motion of index H is defined.
Journal ArticleDOI

Stochastic integration with respect to the fractional Brownian motion

TL;DR: In this paper, a stochastic calculus for fractional Brownian motion with Hurst parameter H > 1/2 was developed using the techniques of the Malliavin calculus, and the authors established estimates in L p, maximal inequalities and a continuity criterion for the Stochastic integral.

Arbitrage with fractional Brownian motion

TL;DR: In this paper, a survey on the existence or absence of a riskless gain (arbitrage) in fractional Brownian motion based stock price models is presented, pointing out the importance of the chosen class of admissible trading strategies.
References
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Book

Singular Integrals and Differentiability Properties of Functions.

TL;DR: Stein's seminal work Real Analysis as mentioned in this paper is considered the most influential mathematics text in the last thirty-five years and has been widely used as a reference for many applications in the field of analysis.
Book

Continuous martingales and Brownian motion

Daniel Revuz, +1 more
TL;DR: In this article, the authors present a comprehensive survey of the literature on limit theorems in distribution in function spaces, including Girsanov's Theorem, Bessel Processes, and Ray-Knight Theorem.
Journal ArticleDOI

Linear Operators. Part I: General Theory.

TL;DR: Dunford and Schwartz as discussed by the authors provided a comprehensive survey of the general theory of linear operations, together with applications to the diverse fields of more classical analysis, and emphasized the significance of the relationships between the abstract theory and its applications.