Every submartingale S of class D has a unique Doob–Meyer decomposition S= M+ A, where M is a martingale and A is a predictable increasing process starting at 0. We provide a short …
This paper establishes a non-stochastic analog of the celebrated result by Dubins and Schwarz about reduction of continuous martingales to Brownian motion via time change. We …
A wealth-process set is abstractly defined to consist of nonnegative càdlàg processes containing a strictly positive semimartingale and satisfying an intuitive re-balancing property …
C Kardaras, E Platen - Stochastic processes and their Applications, 2011 - Elsevier
A financial market model where agents trade using realistic combinations of simple (ie, finite combinations of buy-and-hold) no-short-sales strategies is considered. Minimal assumptions …
The present lecture notes are based on several advanced courses which I gave at the University of Vienna between 2011 and 2013. In 2015 I gave a similar course (“Nachdiplom …
Stricker's theorem states that a Gaussian process is a semimartingale in its natural filtration if and only if it is the sum of an independent increment Gaussian process and a Gaussian …
For a continuous function f∈C(0,1), define the Vervaat transform V(f)(t):=f(τ(f)+t\mod1)+f(1) 1_{t+τ(f)≧1\}-f(τ(f)), where τ(f) corresponds to the first time at which the minimum of f is …
V Melnikov - arXiv preprint arXiv:2408.03476, 2024 - arxiv.org
In the spirit of Koml\'os's theorem, we investigate when a sequence of semimartingales satisfying a boundedness condition admits forward convex combinations converging in …
M Beiglböck, P Siorpaes - Stochastic Processes and their Applications, 2014 - Elsevier
We give a new proof of the celebrated Bichteler–Dellacherie theorem, which states that a process S is a good integrator if and only if it is the sum of a local martingale and a finite …