On the structure of increasing profits in a 1D general diffusion market with interest rates
Alexis Anagnostakis, David Criens, Mikhail Urusov

TL;DR
This paper characterizes the existence and structure of increasing profits in a flexible 1D diffusion market model with interest rates, linking arbitrage opportunities to deterministic measures and stochastic process theory.
Contribution
It provides a complete characterization of increasing profits using deterministic measures and trading strategies, connecting arbitrage theory with stochastic process properties.
Findings
Increasing profits exist iff a specific deterministic measure is nontrivial.
The set of all increasing profits can be explicitly characterized.
Connections are established between no-arbitrage conditions and diffusion process properties.
Abstract
In this paper, we investigate a financial market model consisting of a risky asset, modeled as a general diffusion parameterized by a scale function and a speed measure, and a bank account process with a constant interest rate. This flexible class of financial market models allows for features such as reflecting boundaries, skewness effects, sticky points, and slowdowns on fractal sets. For this market model, we study the structure of a strong form of arbitrage opportunity called increasing profits. Our main contributions are threefold. First, we characterize the existence of increasing profits in terms of an auxiliary deterministic signed measure and a canonical trading strategy , both of which depend only on the deterministic parametric characteristics of our model, namely the scale function, the speed measure, and the interest rate. More precisely, we show that an…
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Taxonomy
TopicsStochastic processes and financial applications · Complex Systems and Time Series Analysis · Financial Risk and Volatility Modeling
