A tree-structured linear and quantile regression framework is proposed for the analysis and modeling of equity market returns. The approach is based on the idea of a binary tree, where every terminal node parameterizes a local regression model for a specific partition of the data. A Bayesian...

The massive explosion of literature, theory, and methods on all aspects of decision-analytics, machine learning and artificial intelligence, over the past 20 or so years has brought a rapid specialization in each of the substrata of the fields that are using them. The sharp focus on empirical...

Our purpose in this paper is to develop an integrated multicriteria evaluation methodology for assessing the impact of COVID-19 in the 27 countries of the European Union. Initially, a specialized and comprehensive set of normalized criteria metrics that capture several dimensions of the...

We examine the impact of institutional quality and social capital on aid effectiveness. We find strong evidence that social capital and institutions enhance aid effectiveness. Moreover, once we account for the role of social capital and institutions, the impact of policies tend to disappear....

The present paper examines the impact of different aid types, namely project aid, programme aid, technical assistance and food aid on the fiscal sector of the aid-recipient economy by using time-series data for Côte d’Ivoire over the period 1975–99. Empirical results obtained by estimating...

The paper examines the role of the multinational development banks in private sector financing with a particular focus on the International Finance Corporation (IFC). The aim of the paper is to bring to focus, in an analytical manner, the past activities and operations as well as the problems...