David Matesanz

Cross-Country Hierarchical Structure And Currency Crises

Using data from a sample of 28 representatives countries, we propose a classification of currency crises consequences based on the ultrametric analysis of the real exchange rate movements time series, without any further assumption. By using the matrix of synchronous linear correlation coefficients and the appropriate metric distance between pairs of countries, we were able to construct a hierarchical tree of countries. This economic taxonomy provides relevant information regarding liaisons between countries and a meaningful insight about the contagion phenomenon.

Exchange rate policy and trade balance: a cointegration analysis of the Argentine experience since 1962

Using multivariate cointegration tests for nonstationary data and vector error correction models, this article examines the determinants of trade balance (TB) for Argentina over the last forty to fifty years taking into account that the short-run impacts of currency depreciation on the TB behaviour may differ from the long-run effects. Our investigation confirms the existence of long-run relationships among TB, real exchange rate (RER) and foreign and domestic incomes for Argentina during different RER management policies. Based on the estimations, the Marshall-Lerner condition is checked and, by means of impulse response functions, we trace the effect of a one-time shock to the RER on the TB not finding support for a J-curve pattern in the short-run.

Network Analysis of Returns and Volume Trading in Stock Markets: The Euro Stoxx Case

This study applies network analysis to analyze the structure of the Euro Stoxx market during the long period from 2002 up to 2014. The paper generalizes previous research on stock market networks by including asset returns and volume trading as the main variables to study the financial market. A multidimensional generalization of the minimal spanning tree (MST) concept is introduced, by adding the role of trading volume to the traditional approach which only includes price returns. Additionally, we use symbolization methods to the raw data to study the behaviour of the market structure in different, normal and critical, situations. The hierarchical organization of the network is derived, and the MST for different sub-periods of 2002-2014 is created to illustrate how the structure of the market evolves over time. From the structural topologies of these trees, different clusters of companies are identified and analyzed according to their geographical and economic links. Two important results are achieved. Firstly, as other studies have highlighted, at the time of the financial crisis after 2008 the network becomes a more centralized one. Secondly and most important, during our second period of analysis, 2008-2014, we observe that hierarchy becomes more country-specific where different sub-clusters of stocks belonging to France, Germany, Spain or Italy are found apart from their business sector agrupation. This result may suggest that during this period of time financial investors seem to be worried most about country specific economic circumstances.

A (Econophysics) Note On Volatility In Exchange Rate Time Series Entropy As A Ranking Criterion

We propose a volatility and uncertainty country ranking based on the entropic analysis of the real exchange rate dynamics. We show that this ranking is highly correlated with the volatility in the gross domestic product after events of currency crises. By comparing entropy with variance ranking we demonstrate that entropy measures better volatility effects of crises.