An empirical note about estimation and forecasting Latin American Forex returns volatility: the role of long memory and random level shifts components

Portuguese Economic Journal - A set of RLS-type models with ARMA and ARFIMA dynamics is estimated and compared in a forecasting exercise with ARFIMA, GARCH and FIGARCH models. It is an extension of...     

Coordination in a skeptical two-group population

Journal of Economic Interaction and Coordination - This paper explores a situation in which a population split into two groups attempts to achieve the socially efficient outcome of a coordination...     

Family firm’s management composition: the role played by family members’ age in TMT and supervisor levels

Quality & Quantity - Family firms (FFs) are the backbone of entrepreneurial fabric in many countries. Management of such businesses is complex because of their features: the overlap between...     

Foreign inflows and economic growth: An emiprical study of the SAARC region

The study examines and highlights the impact of selected foreign inflows (aid, trade, FDI, debt and remittances) on the economic growth of the South Asian Association for Regional Cooperation (SAARC) countries. The existent literature lacks a comprehensive analysis of the SAARC countries as countries like Afghanistan, Bhutan and the Maldives have largely been ignored due to the shorter time periods of available data. The study is empirical in nature and utilizes panel data techniques on macroeconomic data for the period 2008–2015. Foreign aid and foreign direct investment are found to impact economic growth positively. Foreign debt and trade flows are found to adversely affect economic growth. No relationship is established between the flow of remittances and the economic growth of these countries. The obtained results are robust to different proxy variables and the addition of macroeconomic variables. For the first time, the study provides policy implications based on the data of all SAARC countries. The study recommends focusing on increasing the inflows of resources in the form of aid and foreign direct investment (FDI) from the developed world to achieve higher economic growth.     

Magic mirror in my hand … How trade mirror statistics can help us detect illegal financial flows

Misreporting tricks of different sorts applied to the transfer of goods between different countries are typically exploited by criminals worldwide for money laundering ends. The main international anti‐money laundering organisations started paying attention to this phenomenon, dubbed “trade‐based money laundering” (TBML), a long time ago, but the failure to develop appropriate analytical tools has reportedly dogged preventive actions. Nonetheless, literature has widely advocated the possibility that the analysis of inconsistencies in mirrored bilateral trade data could provide some help. By building on previous contributions in the field, this work sets up a model factoring in the main structural determinants of discrepancies between mirrored data concerning Italy's 2010 to 2013 external trade at a highly detailed (6‐digit) level of goods classification for each partner country. Point estimates of freight costs are used to net each observation of the corresponding cif/fob discrepancy. The regression estimates are then deployed in order to compute TBML risk indicators at a country/4‐digit product level. Based on the indicators, rankings of countries and product lines can be compiled, which may be used for a risk‐driven search of potential illegal commercial transactions.     

Spatial Metrics of the Technological Transfer: Analysis and Strategic Management

The Triple Helix thesis states that research laboratories and universities can play an enhanced role in innovation in increasingly knowledge-based societies. In fact the locus of industrial innovation is shifting towards networks focused on technological transfer from public research laboratories to firms. This scenario presents challenges for investigating the new behaviour of research laboratories and the measurement and evaluation of their scientific and technological activity. This study analyses how the variable 'space' affects an important activity carried out within these laboratories: the technological transfer. The purpose of this research is to: (1) construct indicators, called sensors, starting from the geographical neo-classical approach based on physical distance, for measuring and studying the spatial dynamics of technological transfer;(2) apply the metrics to case studies using data from three institutes of the Italian National Council of Research operating in an industrialised region in the north-west Italy. The sensors are useful for understanding the spatial behaviour both of the technological transfer process, and the strategy of research laboratories. Some management implications conclude the research.     

Inflation,interest and exchange rates in the transition1

Central and Eastern European economies have made extraordinary progress in their trade and exchange regimes. Surprisingly, instant convertibility was established for a great variety of exchange rate regimes. In spite of diversity, all these countries have followed a common pattern: severe initial undervaluation - the cost of speed and unrestricted trade - followed by rapid real revaluation and incipient protectionism. Since 1994 in many cases an embarrass de richesse has appeared: high capital inflows which are either inflationary or costly to sterilize. A major cause of these flows - or at any rate of the high cost of sterilization - is the presence of significant interest rate differentials higher than required to cover the risk of devaluation. These are the necessary consequence of a policy of positive real interest rates and of real revaluation from excessively undervalued exchange rates. Lower interest rates are recommended, both to stem financial capital inflows and to reduce the cost of their sterilization.     

Feature selection methods involving support vector machines for prediction of insolvency in non‐life insurance companies

We propose two novel approaches for feature selection and ranking tasks based on simulated annealing (SA) and Walsh analysis, which use a support vector machine as an underlying classifier. These approaches are inspired by one of the key problems in the insurance sector: predicting the insolvency of a non‐life insurance company. This prediction is based on accounting ratios, which measure the health of the companies. The approaches proposed provide a set of ratios (the SA approach) and a ranking of the ratios (the Walsh analysis ranking) that would allow a decision about the financial state of each company studied. The proposed feature selection methods are applied to the prediction the insolvency of several Spanish non‐life insurance companies, yielding state‐of‐the‐art results in the tests performed. Copyright © 2005 John Wiley & Sons, Ltd.     

Spanish Economic Review referees (2003-2004)

Spanish Economic Review referees (2003-2004)

Spanish Economic Review referees (2003-2004)     

Income taxation when markets are incomplete

We investigate the welfare effects of proportional income taxation in a standard general equilibrium model with incomplete markets (GEI). Formally, our analysis is on the allocative effects of state-contingent income tax reforms. Tax reforms are restricted to be anonymous, publicly and truthfully announced before markets open, and they are required to result in an ex-post constrained efficient allocation. Our main result is to show that there do typically exist contingent tax reforms that are Pareto improving. These reforms, acting directly on the asset span, modify private risk-sharing opportunities. Thus, unlike most of the GEI literature, the type of policy transmission mechanism considered does not rely on second-order, relative spot price effects. Yet, the key welfare effects of our tax reforms are substantially equivalent to those induced through changes in relative spot prices, as, for example, in Geanakoplos and Polemarchakis (1986), Geanakoplos et al. (1990), or in Citanna et al. (2001). Mathematics Subject Classification (2000): 58E17, 46N10, 93B29 Journal of Economic Literature Classification: D52, H21, H24, H25