Ronit Meron

Ronit Meron is a Research Fellow in the Optimal Policy and Applications Division at the Institute for Advanced Dynamic Uncertainty. She holds a PhD in Statistics and Operations Research from Tel Aviv University, where her doctoral thesis developed a rigorous stochastic control framework for continuous-time portfolio optimisation under partial information and convex constraints. Her analysis combined filtering theory, dynamic programming, and the theory of forward-backward stochastic differential equations to establish existence, uniqueness, and regularity of optimal investment strategies in market models driven by partially observed diffusion processes.

Meron's research interests centre on the mathematical structure of optimal investment problems: infinite-horizon portfolio selection, singular and reflected stochastic control in finance, the Fernholz–Karatzas stochastic portfolio theory framework, and the geometry of the growth-optimal portfolio in incomplete markets. She has contributed to the study of turnpike phenomena in long-run portfolio optimisation, establishing quantitative convergence rates for finite-horizon strategies toward their ergodic limits under diffusion model dynamics.

At IADU, her work addresses optimal investment under proportional and fixed transaction costs, the structure of free boundaries in portfolio HJB equations, and the coupling of individual portfolio problems to aggregate market dynamics in the mean field setting. Her approach is distinguished by its rigour: she insists on well-posedness and regularity before numerical method, and her results consistently produce analytic benchmarks against which computational schemes are validated.