Exchange market pressure: some caveats in empirical applications

The Exchange Market Pressure (EMP) index, developed by Eichengreen et al. (1994 Eichengreen, B, Rose, AK and Wyplosz, C. 1994. Speculative attacks on pegged exchange rates: an empirical exploration with special reference to the European monetary system, NBER Working Paper No. 4898  [Google Scholar]), is widely used as a tool to signal whether pressure on a currency is softened or warded off through monetary authorities’ interventions or, rather, a currency crisis has originated. In this article we show how the index is sensitive to some assumptions behind the aggregation of the information available (exchange rates, interest rates and reserves), especially when emerging countries are involved. Specifically, we address the way exchange rate variations are computed and the impact of different definitions of the reserves, and we question the constancy of the weights adopted. These issues compound with the choice of a fixed threshold when crisis episodes are identified through the EMP index. As a result, one should exert caution in subsequent econometric analyses where a dependent binary variable is built to identify crisis periods.     

The Global Financial Crisis and Stochastic Convergence in the Euro Area

This paper analyzes the issue of convergence in the original Euro Area countries, and assesses the effect of the global financial crisis on the process of convergence. In particular, we consider whether the global financial crisis pulled the 12 economies of the Euro Area together or pushed them apart. We investigate the dynamics of stochastic convergence of the original Euro Area countries for inflation rates, nominal interest rates, and real interest rates. We test for convergence relative to Germany, taken as the benchmark for core EU standards, using monthly data over the period January 2001 to September 2010. We examine, in a time-series framework, three different profiles of the convergence process: linear convergence, nonlinear convergence, and linear segmented convergence. Our findings both contradict and support convergence. Stochastic convergence implies the rejection of a unit root in the inflation rate, nominal interest rate, and real interest rate differentials. We find that the differentials are consistent with a unit-root hypothesis when the alternative hypothesis is a stationary process with a linear trend. We frequently, but not always, reject the unit-root hypothesis when the alternative is a stationary process with a broken trend. We also note that the current financial crisis plays a significant role in dating the breaks.     

AN ANNUAL CHAIN INDEX OF ITALY'S "REAL" PRODUCT, 1861–1989

The construction and application of a Paasche annual chain index to the Italian GDP figures between 1861 and 1989 is the subject of this article. Comparison with product at constant prices shows, except for war periods, a revaluation of GDP in favour of the annual chain index of around 0.10 percent. The most striking differences are concentrated into periods of marked changes in relative prices, and the new index modifies the temporal pattern of the growth trend by accentuating, without altering the periodization, cyclical fluctuations.     

The mediating role of work engagement on the relationship between job involvement and affective commitment

This study examines job involvement and work engagement as predictors of affective commitment. Specifically, we test the proposal of Hallberg and Schaufeli (2006) that work engagement is a mediator of the relationship between job involvement and affective commitment using a survey of 405 Italian working adults. To test the model, mediation effects technique and structural equation modelling were applied to the collected data. Our hypothesis that work engagement fully mediates the relationship between job involvement and affective commitment was supported. This is the first study to demonstrate the importance of job involvement in promoting affective commitment via three dimensions of work engagement. We therefore assert that HR managers should direct their available resources to promoting job involvement and work engagement in their employees.     

Characterizing the mission statements of benefit corporations: Empirical evidence from Italy

In 2015, Italy introduced a new legal form—“benefit corporation” (società benefit)—that provides legal status to companies that have one or more common benefit objectives in addition to the profit-seeking goal. Italian benefit corporations are obligated by law to operate in a responsible, sustainable, and transparent way and to include the interests of different stakeholders in their corporate strategy. This study examines the Italian case by applying textual statistical analysis on benefit corporations' public mission statements using the IRaMuTeQ software. Performing hierarchical cluster analysis and correspondence factor analysis identifies the “benefit” concept emerging from the mission statements in terms of promotion of individual skills, development of a new business model, and service to society. This study contributes to the debate on the content of mission statements by giving empirical evidence about this new form of business, and it provides some practical implications for managers, entrepreneurs, and policymakers.     

Rock around the clock: An agent-based model of low- and high-frequency trading

We build an agent-based model to study how the interplay between low- and high-frequency trading affects asset price dynamics. Our main goal is to investigate whether high-frequency trading exacerbates market volatility and generates flash crashes. In the model, low-frequency agents adopt trading rules based on chronological time and can switch between fundamentalist and chartist strategies. By contrast, high-frequency traders activation is event-driven and depends on price fluctuations. High-frequency traders use directional strategies to exploit market information produced by low-frequency traders. Monte-Carlo simulations reveal that the model replicates the main stylized facts of financial markets. Furthermore, we find that the presence of high-frequency traders increases market volatility and plays a fundamental role in the generation of flash crashes. The emergence of flash crashes is explained by two salient characteristics of high-frequency traders, i.e., their ability to i. generate high bid-ask spreads and ii. synchronize on the sell side of the limit order book. Finally, we find that higher rates of order cancellation by high-frequency traders increase the incidence of flash crashes but reduce their duration.     

Special Interests and Technological Change

We study an OLG economy where productivity growth comes from two alternative sources: process innovation and learning-by-doing. There is a trade-off between the two in so far as frequent technological updates reduce the scope for learning on existing technologies. A conflict is shown to arise between the young and the old, because the former favour innovation while the latter prefer learning. We model the interaction between overlapping generations and policy makers as a dynamic common agency problem, where competing generations invest a certain amount of resources to lobby either for the maintenance of the current technology or the adoption of a new one. By focusing on truthful Markov perfect equilibria, we characterize the political equilibrium and show its dependence on the underlying demographic, technological and preference parameters.     

A switching ARCH (SWARCH) model of stock market volatility: some evidence from Latin America

We use the Markov regime-switching ARCH (SWARCH) model of Hamilton and Susmel (J Econometrics 64:307–333, 1994) to document the presence of high volatility regimes in six Latin American countries (Argentina, Brazil, Chile, Mexico, Peru, and Venezuela). We found four high volatility episodes, each associated to either a local (the Mexican crisis of 1994, the Brazilian crisis of 1998–1999, the Argentinean crisis of 2001–2002) or a worldwide financial crisis (the Asian financial crisis of 1997). However, we found that the effects of each financial crisis are short-lived and that between 2 and 4 months after each crisis, all markets return to low volatility regimes.

Social Interactions, Local Spillovers and Unemployment

I analyse a model that explicitly incorporates local interactions and allows agents to exchange information about job openings within their social networks. Agents are more likely to be employed if their social contacts are also employed. The model generates a stationary distribution of unemployment that exhibits positive spatial correlations. I estimate the model via an indirect inference procedure, using Census Tract data for Chicago. I find a significantly positive amount of social interactions across neighbouring tracts. The local spillovers are stronger for areas with less educated workers and higher fractions of minorities. Furthermore, they are shaped by ethnic dividing lines and neighbourhood boundaries.