Mergers Along the Global Supply Chain: Information Technologies and Routine Tasks

This paper empirically analyses how the adoption of Information Technologies (IT) has changed the organization of global supply chains. We focus on international mergers, which are a growing and important component of foreign direct investment. We use data on North–South mergers and acquisitions (M&As). We show that the effect of IT adoption on the number of vertical M&As is decreasing with the routine intensity of the industry. Our interpretation is that the IT revolution enabled new monitoring mechanisms. This allowed Northern headquarters to better monitor suppliers, especially those in less routine‐intensive industries –which were harder to monitor before.     

How capital markets assess the credibility and accuracy of CSR reporting: Exploring the effects of assurance quality and CSR restatement issuance

This research examines how the credibility and accuracy of corporate social responsibility (CSR) disclosures enhance market confidence by exploring their effect on the cost of capital. How do capital markets react to higher-quality assurance of CSR reporting? Can the hypothetical reduction in the cost of capital that assurance quality produces be explained by restatements of previous information given in these CSR reports? We explore the relationship between assurance quality, as a proxy for credibility and market confidence, and the mediating effect of CSR restatements as indicators of accuracy. We propose regression models with a sample of CSR reports issued by European companies. Building upon the signalling and legitimacy theories, the results support the positive effect of higher assurance quality statements on market confidence by confirming a decrease in the cost of capital; assurance quality gives an indication of credibility to the capital market and restatements related to methodological updates signal accuracy. The reduction in the cost of capital brought on by higher assurance quality appears to be determined by the issuance of CSR restatements, which create legitimacy for both client companies and assurance providers. CSR reporting and assurance have reached a greater level of maturity as demonstrated by the evolution of these practices and financial market perceptions.     

Are EU trade preferences really effective? An impact evaluation assessment of the Southern Mediterranean Countries’ case

This work assesses the causal impact of the EU trade preferences granted to the Southern Mediterranean Countries (SMCs) in agriculture and fishery products over the period 2004–2014. It overcomes some of the weaknesses of previous assessments and presents several methodological improvements. Firstly, it relies on a continuous treatment – i.e. preferential margins – to capture the ‘average treatment effect’ of trade preferences, rather than on a binary treatment based on dummy variables. Secondly, it uses highly disaggregated data at sectoral level in order to evaluate properly the preferential treatment. Thirdly, it applies a non-parametric matching technique for continuous treatment – specifically, a generalized propensity score matching. The results show, on the one hand, that the impact of the EU preferences is positive and significant on SMCs trade and is better evaluated using impact evaluation techniques. On the other hand, they demonstrate that the relationship between preferences and trade flows is asymmetric and warn against the risk of providing too much of a good thing. These results raise important issues for policy-making. First, they demonstrate that raising the level of preferences is not the solution to foster the SMCs trade towards EU. Second, that the policy-makers should put more emphasis on complementary factors other than trade barriers.     

Evolutions and Contradictions in Mainstream Macroeconomics: The Case of Olivier Blanchard

This article traces the complex intellectual path of Olivier Blanchard, a personification of the controversial evolution of macroeconomic research over the last three decades. After contributing to consolidation of the core of mainstream macroeconomics, Blanchard recently suggested ‘rethinking’ some of its key aspects to take stock of the lessons of the 2008 Great Recession, which he witnessed as the International Monetary Fund’s Chief Economist. This welcome discussion, which according to Blanchard should open mainstream macroeconomics to heterodox thinking, has so far produced a certainly interesting albeit theoretically contradictory synthesis and limited policy consequences. The most paradigmatic aspect of this rethinking of macroeconomics is represented by the abandonment in teaching of aggregate supply and demand in favor of a revival of the IS–LM model complemented by the Phillips curve. While this change of perspective does allow for the instability of ‘natural’ equilibrium to be emphasized, a deeper reading may prove incompatible with the neoclassical foundations of the mainstream approach.     

Stock Returns,Productivity, and Corruption in Eight European Fast-Emerging Markets

This article addresses the impact of productivity, corruption, and trade openness on the stock returns of 265 industrial companies listed in eight Eastern European fast-emerging markets, over the 2004-2013 period. Through a three-factor model that includes both measures at firm level and macro-level control variables, our findings suggest that country corruption index is negatively correlated with the total annual return of the stocks of the listed industrial companies of our sample. Moreover, the most productive firms are featured by higher stock returns, while leverage seems not to be a key predictor of stock returns. In addition, the article uncovers innovative evidence about trade openness that is negatively correlated with stock returns due to its connection with the recent financial crisis. That is, firms operating in markets that are more open to trade show a higher degree of interconnection with other economies and are more likely to undergo the effects of negative fluctuations from foreign markets during the economic crisis. © 2015 Wiley Periodicals, Inc.     

Exploring cruise ship passenger spending patterns in two Uruguayan ports of call

The cruise industry has become a significant component of the Uruguayan tourism economy in the last few years. The present study aims to provide a better understanding of the cruise industry by considering the expenditure of cruise ship passengers disembarking at the ports of call of Montevideo and Punta del Este as a key variable in the economic analysis of the costs and benefits. We estimate two cross-sectional regression models for cruise passenger expenditures, and show that the size of the group the visitors travel with and visitor mobility within the country are the most important variables to explain individual expenditure behaviour. We also include some management recommendations that policy-makers could implement in order to improve the economic profits from cruise ship tourism.     

They Are Not All the Same! Investigating the Effect of Executive versus Non‐executive Family Board Members on Firm Performance

Drawing on faultlines and challenging the assumption that family board members form a homogenous subgroup, we hypothesize that the distinction between executive and non‐executive family board members can create faultlines that affect firm performance. We propose that the discrepancy between results and goals can activate and exacerbate faultlines. Using a sample of 421 family small and medium‐sized enterprises (SMEs), we find a U‐shaped relationship between the ratio of family executive board members and firm performance showing the consequences of relationship‐based and task‐related faultlines. Moreover, we find that the U‐shaped relationship occurs when firms perceive that they under‐achieve their objectives, whereas a reverse J‐shaped relationship appears when firms over‐achieve their objectives.     

Euro conversion and return dynamics of European financial markets: a frequency domain approach

Using a frequency domain approach, we compare the spectra of equity market index returns for the 12 Euro-zone countries, the UK, the US, and Japan, over several time frames before and after the introduction of the Euro. In the immediate aftermath of the Euro-introduction, we find a reduced volatility over all frequencies, in which no strong cyclical components are present. However, in the long run, equity markets exhibit a volatility increase: the larger European equity markets develop dynamics that exhibit strikingly similar patterns, while the smaller European equity markets appear to follow dynamics closely resembling white noise. The similarity in dynamics is a likely candidate to explain the increase in correlation among the European markets. Furthermore, the European equity markets initially exhibited dynamics that resembled those of the US, while after the introduction of the Euro, the dynamics of the European Markets exhibits patterns similar to those found the UK. This suggests a change in the dynamic interdependency between the UK and the European markets and an increased convergence of UK market behavior with that behavior dominant in the Euro-zone. The findings may provide important implications for investors seeking to take advantage of international diversification.     

Regression Modeling for the Valuation of Large Variable Annuity Portfolios

Variable annuities are insurance products that contain complex guarantees. To manage the financial risks associated with these guarantees, insurance companies rely heavily on Monte Carlo simulation. However, using Monte Carlo simulation to calculate the fair market values of these guarantees for a large portfolio of variable annuities is extremely time consuming. In this article, we propose the class of GB2 distributions to model the fair market values of guarantees to capture the positive skewness typically observed empirically. Numerical results are used to demonstrate and evaluate the performance of the proposed model in terms of accuracy and speed.     

Gaussian clustering and jump-diffusion models of electricity prices: a deep learning analysis

Decisions in Economics and Finance - We propose a deep learning-based methodology to investigate the complex dynamics of electricity prices observed in power markets. The aims are: (a) to process...