Debt Sustainability Analysis - V1

Our Debt Sustainability Model uses the standard debt dynamic equation to generate forecasts for the Debt/GDP ratio throughout the next 10 years. Specifically, we use the following the equation:

dt+1=dt[(1α)(1+idt(1+gt)(1+πt))+(α)((1+Δϵt)(1+ift)(1+gt)(1+πt))]+pdtd_{t+1} =d_{t}\biggl[(1-\alpha)\biggl(\frac{1+i_{dt}}{(1+g_t)(1+\pi_t)}\biggl) +(\alpha)\biggl(\frac{(1+\Delta\epsilon_t)(1+i_{ft})}{(1+g_t)(1+\pi_t)}\biggl)\biggl] + pd_t

In which:

dt+1d_{t+1} is the ratio Debt/GDP for the t+1 period;

α\alpha is the share of foreign debt in relation to total debt;

gtg_t is the real growth of GDP at the period t;

πt\pi_t is the variation of the GDP deflator for the period t;

Δϵt\Delta\epsilon_t is the devaluation of the exchange rate between the local currency to the US dollar during the period t;

idti_{dt} is the implicit interest rate for the domestic debt, it is calculates as the ratio between the interest paid for the internal debt during the period t and the internal debt in the period t-1;

ifti_{ft} is the implicit interest rate for the foreign debt, it is calculates as the ratio between the interest paid for the internal debt during the period t and the internal debt in the period t-1;

pdtpd_t is the primary deficit of the government during the period t.

We account for uncertainty by applying random shocks for each variable. These shocks are constructed by simulating a Multivariate Normal Distribution that uses as input the historical covariance matrix between those variables and their forecasts for the next 10 years. We simulate 2000 shocks for each each year and compute the quantiles of the Debt/GDP forecasts according to our DSA equation.

Model Results. Debt / GDP Dynamic

Scenarios and sensibility Analysis

The chart below reports the results of the simulation of shocks over a single variable, while the other variables are kept at their baseline levels

Annex: Model inputs

Luciano Cohan

Written by

Luciano Cohan

Co-Fundador de Alphacast. Ex Subsecretario de Programación Macroeconómica. Data Science. Creando una plataforma para el trabajo colaborativo en economías

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DSA Model

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