Exact conditions for no ruin for the generalised Ornstein-Uhlenbeck process
Damien Bankovsky, Allan Sly

TL;DR
This paper establishes precise conditions based on the characteristics of a bivariate Lévy process that determine when the generalized Ornstein-Uhlenbeck process has zero probability of ruin over an infinite horizon, highlighting the influence of dependence between components.
Contribution
It provides the first necessary and sufficient criteria for no ruin in the GOU process, explicitly incorporating the dependence structure of the underlying Lévy process.
Findings
Conditions for zero ruin probability derived
Dependence between Lévy process components affects ruin risk
Structural insights into the GOU process's lower bound
Abstract
For a bivariate L\'evy process the generalised Ornstein-Uhlenbeck (GOU) process is defined as V_t:=e^{\xi_t}(z+\int_0^t e^{-\xi_{s-}}d\eta_s), t\ge0, where We define necessary and sufficient conditions under which the infinite horizon ruin probability for the process is zero. These conditions are stated in terms of the canonical characteristics of the L\'evy process and reveal the effect of the dependence relationship between and We also present technical results which explain the structure of the lower bound of the GOU.
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Taxonomy
TopicsProbability and Risk Models · Stochastic processes and financial applications · Financial Risk and Volatility Modeling
