Taylor & Francis

Stochastics Template

Write in a clean editor, then format for Stochastics in one click — DocuGuru applies the official Taylor & Francis template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the Stochastics format

Stochastics is a peer-reviewed journal published by Taylor & Francis, covering Stochastic processes and financial applications, Financial Risk and Volatility Modeling, Stochastic processes and statistical mechanics.

PublisherTaylor & Francis
Reference styleAuthor–year (Chicago, T&F)
Author–year — (Smith, 2023) in the text
Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Stochastics 12 (3): 45–58.

Formats any DOI in Stochastics style. No sign-up.

Publishes research inStochastic processes and financial applications Financial Risk and Volatility Modeling Stochastic processes and statistical mechanics Probability and Risk Models Insurance, Mortality, Demography, Risk Management
ISSN1744-2508
Citation impact (2-yr)1.06
h-index39
i10-index251
Total citations9,209
Top institutions publishing hereUniversity of Oslo
Journal websitewww.tandfonline.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Stochastics per year

47
2014
59
2015
60
2016
60
2017
55
2018
79
2019
43
2020
50
2021
48
2022
38
2023
59
2024
67
2025

Citation impact of Stochastics by publication year

593
2014
669
2015
381
2016
472
2017
349
2018
504
2019
273
2020
177
2021
204
2022
53
2023
115
2024
38
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Stochastics

Risk minimizing portfolios and HJBI equations for stochastic differential games

Sure Mataramvura, Bernt Øksendal · 21 Jun 2008

In this paper, we consider the problem to find a market portfolio that minimizes the convex risk measure of the terminal wealth in a jump diffusion market. We formulate the problem as a two player (zero-sum) stochastic differential game. To help us find a solution, we prove a theorem giving the Hamilton–Jacobi–Bellman–Isaacs (HJBI) conditions for…

A mean-field stochastic maximum principle via Malliavin calculus

Thilo Meyer‐Brandis, Bernt Øksendal, Xun Yu Zhou · 10 Feb 2012

This paper considers a mean-field type stochastic control problem where the dynamics is governed by a controlled Itô–Lévy process and the information available to the controller is possibly less than the overall information. All the system coefficients and the objective performance functional are allowed to be random, possibly non-Markovian. Malliavin calculus is employed to derive…

The stochastic Fubini theorem revisited

Mark Veraar · 4 Nov 2011

Abstract. In this note we present an elementary and self-contained proof of the stochastic Fubini theorem, which states that one can interchange a Lebesgue integral and a stochastic integral. The integrability conditions we use are weaker and more natural than the usual conditions in the literature. In particular, we do not need integrability in Ω,…

Some properties of the sub-fractional Brownian motion

Constantin Tudor · 22 Dec 2006

We study several properties of the sub-fractional Brownian motion (fBm) introduced by Bojdecki et al. related to those of the fBm. This process is a self-similar Gaussian process depending on a parameter H ∈ (0, 2) with non stationary increments and is a generalization of the Brownian motion (Bm). The strong variation of the indefinite…

Strong convergence rates for backward Euler–Maruyama method for non-linear dissipative-type stochastic differential equations with super-linear diffusion coefficients

Xuerong Mao, Łukasz Szpruch · 10 Feb 2012

In this work, we generalize the current theory of strong convergence rates for the backward Euler–Maruyama scheme for highly non-linear stochastic differential equations, which appear in both mathematical finance and bio-mathematics. More precisely, we show that under a dissipative condition on the drift coefficient and super-linear growth condition on the diffusion coefficient the BEM scheme…

Stochastics template — frequently asked questions

How do I write a paper in the Stochastics format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Stochastics template. When you export, DocuGuru compiles the paper into the official Taylor & Francis format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Stochastics use?
Stochastics uses Author–year (Chicago, T&F) references, shown as author–year markers such as (Smith, 2023) in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Stochastics 12 (3): 45–58.
Do I need to know LaTeX to submit to Stochastics?
No. DocuGuru generates the interact LaTeX class and compiles the PDF for you in the background, so you get a Taylor & Francis-ready Stochastics document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Stochastics template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Stochastics format with correct headings, figures, tables, and author–year citations.
Who publishes Stochastics?
Stochastics is a multidisciplinary journal published by Taylor & Francis. DocuGuru's Stochastics template matches Taylor & Francis's official submission format.
Can I export a submission-ready Stochastics PDF?
Yes — DocuGuru produces a PDF built with the official Stochastics template (the interact class) that is ready to submit to Taylor & Francis, together with the matching LaTeX source files.
How much does the Stochastics template cost?
You can start writing in the Stochastics template for free. Exporting the final submission-ready Stochastics PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
Use the Stochastics template