Given the increased importance of fiscal monitoring, this study amends the existing literature in the field of intra-annual fi scal data in two main dimensions. First, we use quarterly fi scal data to forecast a very disaggregated set of fiscal series at annual frequency. This makes the analysis...

We analyze public debt sustainability in Serbia between 2004Q3 and 2014Q3. The results of our analysis are: i) public debt to GDP ratio is on unsustainable path, according to the results of unit root tests; ii) the response of primary fiscal balance to public debt accumulation is insufficient to...

The world economy has been struck by Covid-19 the same way people are struck by a lightning, fast and without warning, leaving nations out to dry on little to no reserves on their crucial supply side. Consequently, over the past year, economies shrunk, production drastically diminished, and...

This paper illustrates how a parsimonious macro-finance model can be exploited to investigate the frequency-domain properties of debt service implied by various financing strategies. This original approach is valuable to public debt managers seeking to assess the fiscal-hedging properties of the...

This paper shows how public debt repurchases can be used to reduce the costs of debt service, under the hypothesis of asymmetry of information between the government and the private sector. At the beginning of a fiscal stabilisation, for example, a government typically does not enjoy full...

The paper presents the results of a reconstruction of the Italian public debt series since national unification. Computations use today's statistical methodology to obtain a database consistent with the national accounts. The reference sector is general government, not the state sector, as in...

Bivariate time series data often show strong relationships between the two components, while both individual variables can be approximated by random walks in the short run and are obviously bounded in the long run. Three model classes are considered for a time-series model selection problem:...

We use data generated by a macroeconomic DSGE model to study the relative benefits of forecast combinations based on forecast-encompassing tests relative to simple uniformly weighted forecast averages across rival models. Assumed rival models are four linear autoregressive specifications, one of...

It has become popular recently to apply the multifractal formalism of statistical physics (scaling analysis of structure functions and f(a) singularity spectrum analysis) to financial data. The outcome of such studies is a nonlinear shape of the structure function and a nontrivial behavior of...

Conditional heteroskedasticity is an important feature of many macroeconomic and financial time series. Standard residual-based bootstrap procedures for dynamic regression models treat the regression error as i.i.d. These procedures are invalid in the presence of conditional heteroskedasticity....