Virtual integration of financial markets: a dynamic correlation analysis of the creation of the Latin American Integrated Market

This article investigates the role of virtual integration of financial markets on stock market return co-movements. In May of 2011, the Chilean, Colombian and Peruvian stock markets virtually integrated their stock exchanges and central securities depositories to form the Latin American Integrated Market (MILA). We utilize the dynamic conditional correlation model proposed by Engle (2002) to identify a statistically significant positive correlation between these markets. Moreover, we find strong evidence that the creation of the MILA increased the levels of dynamic correlation between stock returns. A higher correlation was also found during the dot-com bubble and the 2007 financial crises. Our results imply a decline in gains from international diversification by holding portfolios consisting of diverse stocks of these countries.     

Geographical and industrial spillovers in entry decisions across export markets

This article addresses sequential entry decisions in export markets. It focuses on externalities derived from previous export activity in countries close to those for which a potential entry decision is made (geographical spillovers) and externalities derived from previous presence of other firms in the same industry (industrial spillovers). The empirical analysis uses Spanish microdata for the period 2000–2010 in a firm decision model that also integrates country and industry characteristics. The results suggest that these two types of spillovers have a positive effect in explaining entry decisions in new export markets, though both are smaller in magnitude than the effects coming from previous presence in the same specific destination.     

The codispersion map: a graphical tool to visualize the association between two spatial variables

The codispersion coefficient quantifies the association between two spatial processes for a particular direction (spatial lag) on a two‐dimensional space. When this coefficient is computed for many directions, it is useful to display those values on a single graph. In this article, we suggest a graphical tool called a codispersion map to visualize the spatial correlation between two sequences on a plane. We describe how to construct a codispersion map for regular and non‐regular lattices, providing algorithms in both cases. Three numerical examples are given to illustrate how useful this map can be to detect those directions for which the codispersion coefficient attains its maximum and minimum values. We also provide the R code to construct the codispersion map in practice.     

BAM: a bounded adjusted measure of efficiency for use with bounded additive models

A decade ago the Range Adjusted Measure (RAM) was introduced for use with Additive Models. The empirical experience gained since then recommends developing a new measure with similar characteristics but with more discriminatory power. This task is accomplished in this paper by introducing the Bounded Adjusted Measure (BAM) in connection with a new family of Data Envelopment Analysis (DEA) additive models that incorporate lower bounds for inputs and upper bounds for outputs while accepting any returns to scale imposed on the production technology.     

A Survey of L1 Regression

L₁ regularization, or regularization with an L₁ penalty, is a popular idea in statistics and machine learning. This paper reviews the concept and application of L₁ regularization for regression. It is not our aim to present a comprehensive list of the utilities of the L₁ penalty in the regression setting. Rather, we focus on what we believe is the set of most representative uses of this regularization technique, which we describe in some detail. Thus, we deal with a number of L₁‐regularized methods for linear regression, generalized linear models, and time series analysis. Although this review targets practice rather than theory, we do give some theoretical details about L₁‐penalized linear regression, usually referred to as the least absolute shrinkage and selection operator (lasso).     

The economic consequences of the Spanish Reconquest: the long-term effects of Medieval conquest and colonization

This paper shows that a historical process that ended more than five centuries ago, the Reconquest, is very important to explain Spanish regional economic development down to the present day. An indicator measuring the rate of Reconquest reveals a heavily negative effect on current income differences across the Spanish provinces. A main intervening factor in the impact the Reconquest has had is the concentration of economic and political power in a few hands, excluding large segments of the population from access to economic opportunities when Spain entered the industrialization phase. The timing of the effect is consistent with this argument. A general implication of our analysis is that large frontier expansions may favor a political equilibrium among the colonizing agents that is biased toward the elite, creating the conditions for an inegalitarian society, with negative consequences for long-term economic development.     

Too big to fail? The dynamics of EU influence and fiscal consolidation in Italy and Spain (2008–2016)

ABSTRACT

The article studies the dynamics of fiscal consolidation and public sector reforms in Italy and Spain under the EU governance that took shape as a reaction to the Eurozone crisis. We show how three types of EU pressure – fiscal and economic coordination rules, conditionality, and back-room diplomacy have operated in conjunction. We also show that Italy was more willing than Spain to resist EU pressure. Based on a Two-Level Game framework, we argue that this can be explained by the greater opposition to European integration that has developed in Italy compared to Spain.