Annali del Dipartimento di metodi e modelli per l'economia, il territorio e la finanza https://rosa.uniroma1.it/rosa02/annali_memotef <p>Annali MEMOTEF is a peer-review multidisciplinary journal published by the Department of Methods and Models for Economics, Territory and Finance of Sapienza University of Rome.</p> <p>The journal collects original studies in all the disciplines of the Department (demography, economic geography, languages, mathematics, statistics and economic history).</p> <p>Annali MEMOTEF is ranked as a 'Class A' journal for Geography (Area CUN 11/B1) by ANVUR - the Italian National Agency for the Evaluation of Universities and Research Institutes -, and is classified as a “Scientific Journal” for disciplines in the Areas CUN 10, 11, 13 and 14.</p> <p>All the works published in the Annali MEMOTEF are subject to a rigorous process of double blind peer-reviewing.</p> <p>The Annals are published online first and collected in a paper volume once a year edited by Sapienza Università Editrice (Sapienza University Press).</p> <p>Publication is free of charge for the Author(s) and open access: all articles published by the Annals are made freely and permanently accessible online immediately upon publication, without subscription charges or registration barriers.</p> <p>Manuscripts accepted for publication are normally in English.</p> <p> </p> en-US annalimemotef@uniroma1.it (Annali Memotef Editors) annalimemotef@uniroma1.it (Annali Memotef Editorial Office ) Wed, 24 Jun 2026 08:19:49 +0000 OJS 3.3.0.13 http://blogs.law.harvard.edu/tech/rss 60 An Empirical Evaluation of Hierarchical Clustering-Based Portfolio Selection Models https://rosa.uniroma1.it/rosa02/annali_memotef/article/view/1875 <p>This paper investigates the empirical performance of hierarchical clustering-based asset allocation models. These models use clustering techniques to inform portfolio construction without relying on traditional optimization.<br />We evaluate several variants of these methods and compare their out-of-sample performance with standard portfolio selection strategies. Our results suggest that hierarchical clustering models offer competitive and often superior risk-adjusted returns, demonstrating robustness across different market conditions and asset universes.</p> Alessandra Carleo, Maria Alessandra Congedo, Andrea Gheno, Carlo Domenico Mottura, Jacopo Maria Ricci Copyright (c) 2026 Jacopo Maria Ricci, Andrea Gheno, Maria Alessandra Congedo, Carlo Domenico Mottura https://creativecommons.org/licenses/by-nc-sa/4.0 https://rosa.uniroma1.it/rosa02/annali_memotef/article/view/1875 Thu, 02 Apr 2026 00:00:00 +0000 A Critical Review of Stochastic Control Approaches in Government Debt Management https://rosa.uniroma1.it/rosa02/annali_memotef/article/view/1920 <p>This paper provides a comprehensive and critical review of the literature on stochastic control methods applied to sovereign debt management. In the face of increasing economic uncertainty and fiscal constraints, stochastic control theory has emerged as a powerful framework for modeling the dynamics of the debt-to-GDP ratio and designing optimal fiscal policies. We present an overview of existing models based on their methodological foundations, spanning from deterministic benchmarks to advanced stochastic formulations that account for multiple sources<br />of randomness and partial information. The review highlights key theoretical contributions, including the use of dynamic programming, Hamilton–Jacobi–Bellman (HJB) equations, HJB-variational equations and filtering techniques which are applied in partial information frameworks. We compare models across different controlled dynamics for the debt-to-GDP ratio, objective functionals, information structures, and policy implications. Moreover, we highlight some areas where further refinement could enhance current approaches, including assumptions, empirical calibration, and interpretability. Finally, we suggest promising avenues for future research, focusing on models that combine endogenous growth, robust fiscal policy design, and advanced mathematical techniques.</p> Luca Semerari, Claudia Ceci Copyright (c) 2026 Luca Semerari, Claudia Ceci https://creativecommons.org/licenses/by-nc-sa/4.0 https://rosa.uniroma1.it/rosa02/annali_memotef/article/view/1920 Mon, 13 Apr 2026 00:00:00 +0000 Tourism Policies and Urban Transformations in Rome: an Exploratory Analysis of Forms of Dispossession https://rosa.uniroma1.it/rosa02/annali_memotef/article/view/1962 <p>This paper offers an exploratory analysis of tourism policies in Rome, linking recent sectoral dynamics to the concept of dispossession, understood as the erosion of the urban commons. Rather than advancing a normative framework, the study draws on selected theoretical insights into neoliberal urban transformations in order to interpret<br />the Roman context. Focusing on the expansion of short-term rentals, the paper reflects on the tensions between individual adaptive strategies and collective spatial outcomes in the aftermath of the economic and pandemic crises. The analysis suggests that tourism-led transformations may contribute to the reconfiguration of urban space into a widespread hospitality environment, with implications for everyday life and social relations. The findings are intended as preliminary and interpretative.</p> Adriana Conti Puorger, Marco Brogna Copyright (c) 2026 Adriana Conti Puorger, Marco Brogna https://creativecommons.org/licenses/by-nc-sa/4.0 https://rosa.uniroma1.it/rosa02/annali_memotef/article/view/1962 Mon, 18 May 2026 00:00:00 +0000