
TL;DR
This paper investigates the conditions under which an insider trading market with additional information flow remains viable, using advanced stochastic calculus tools to analyze the impact of information timing on market viability.
Contribution
It introduces a mathematical framework to determine market viability based on the insider's information flow and applies forward integrals, Hida-Malliavin calculus, and Donsker delta functionals to derive key results.
Findings
Market viability depends on the integrability of 1/ε_t over [0,T]
If ∫₀ᵗ 1/ε_t dt diverges, the insider market is not viable
The paper characterizes the impact of information timing on market viability
Abstract
We consider the problem of optimal inside portfolio in a financial market with a corresponding wealth process modelled by \begin{align}\label{eq0.1} \begin{cases} dX(t)&=\pi(t)X(t)[\alpha(t)dt+\beta(t)dB(t)]; \quad t\in[0, T] X(0)&=x_0>0, \end{cases} \end{align} where is a Brownian motion. We assume that the insider at time has access to market information units ahead of time, in addition to the history of the market up to time . The problem is to find an insider portfolio which maximizes the expected logarithmic utility of the terminal wealth, i.e. such that The insider market is called \emph{viable} if this value is finite. We study under what inside information flow the insider market is viable or not.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
