Optimal Control of Debt-to-GDP Ratio in an N-state Regime Switching Economy
Giorgio Ferrari, Neofytos Rodosthenous

TL;DR
This paper develops a novel stochastic control framework for managing a country's debt-to-GDP ratio in a regime-switching economy, providing explicit boundary conditions for optimal control policies and demonstrating their application through a two-state case study.
Contribution
It introduces a direct probabilistic approach to solve the regime-switching debt management problem, deriving explicit optimal debt boundaries without guess-and-verify methods.
Findings
Optimal debt-to-GDP boundaries depend on macroeconomic regimes.
The solution involves a zero-sum optimal stopping game with regime switching.
Numerical analysis shows how parameters influence optimal policies.
Abstract
We solve an infinite time-horizon bounded-variation stochastic control problem with regime switching between states. This is motivated by the problem of a government that wants to control the country's debt-to-GDP (gross domestic product) ratio. In our formulation, the debt-to-GDP ratio evolves stochastically in continuous time, and its drift -- given by the interest rate on government debt, net of the growth rate of GDP -- is affected by an exogenous macroeconomic risk process modelled by a continuous-time Markov chain with states. The government can act on the public debt by increasing or decreasing its level, and it aims at minimising a net expected regime-dependent cost functional. Without relying on a guess-and-verify approach, but performing a direct probabilistic study, we show that it is optimal to keep the debt-to-GDP ratio in an interval, whose boundaries depend on the…
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