Gender diversity on corporate boards: an empirical investigation of Italian listed companies

In recent years, there has been a growing consensus that gender diversity could improve the economic and social performance of companies—although progress has been painfully slow. In Italy, Law n. 120/2011 has required that since 2012 the composition of corporate boards must comprise at least 1/5 women and, from 2015, 1/3 women. Here, our primary aim was to study the proportion and the progression of female directors on the boards of Italian companies over the period between 2009–2014, among a sample of 60 companies listed on the Milan Stock Exchange. We additionally studied the characteristics of the women on the companies’ boards, in order to assemble a typical profile. To do this, we verified the boards’ compositions, the number of female directors, women’s power on the boards and their levels of education. Our results confirm that Italian law has produced significant effects on the composition of corporate boards. Moreover, we found that female directors are generally of Italian ethnic origin and have high levels of education, with a master’s, and sometimes, post-master’s degree. Furthermore, female directors are more likely to be professional figures with experience—the percentages of female directors with professional qualifications as well as the percentage of female directors on boards of other companies have consistently increased during the period mentioned. Our findings provide a descriptive analysis of female directors during the period between 2009–2014, thereby presenting a picture of gender equality in the Italian context. To our knowledge, this is the first study that has focused on examining gender equality among Italian-listed companies over such a long period. Future development of this research could examine in more depth the differences between male and female presence, behaviour and characteristics on boards, as well as how these issues affect the performance of firms. This article is published as part of a collection on the role of women in management and the workplace

An application of the option-pricing model to the valuation of football player in the ‘Serie A League’

Football is perhaps the most popular sport in the world. The market of football players is one of the most popular factors of the sport that makes the fans dream of each team which increases the interest around the sport. In 2013 the player Gareth Bale was sold from Tottenham to Real Madrid for 100 million Euros. Someone argues that the market for football players is inherently irrational precisely because of the sale price of certain players. This paper is based on Tunaru et al. model that is real option based model. The aim of the paper is the financial valuation of a goalkeeper of Serie A League club. The model depends on relationship of player’s and team’s performance and the club’s turnover

Different methods to estimating the cost of equity. An analysis on a sample of too big to fail banks

In this study, a comparison was made between the Capital Asset Pricing Model (CAPM), the most widely used methodology, and an actuarial method with the use of credit default swaps (CDSs) and the method based on the inverse of the multiple P/E. These three models are used to estimate the cost of equity. The comparison was made on a sample of 24 banks selected among the largest for assets in the world (too big to fail banks) belonging to 11 different countries. The results show that the CAPM estimates a premium for the higher risk than the one obtained with the actuarial method and the method based on the inverse of the P/E (except for 2013)

Does Intellectual Capital Affect the Volatility of Returns? An Empirical Investigation on Italian Listed Companies

In modern information economies, economic success increasingly depends on the ability to apply knowledge and to transform it into firm value. While intellectual capital plays a critical role in firm success, it is an intangible asset that is difficult to measure and that is unrecorded by the firm. Difficulties in measuring intellectual capital, as well as the dynamic nature of the firms that rely on it, may lead to greater stock market volatility/risk. Consistent with this expectation, in statistical tests we find that intellectual capital, measured by VAIC, positively relates to the volatility of stock returns section among Italian listed companies. We find this positive relation for two components of a firm’s risk: systematic risk and specific risk. The finding is relevant to both investors concerned with understanding the risk/reward balance of particular investments and regulators concerned with market stability

Environmental Impact of Different Business Models: An {LCA} Study of Fresh Tomato Production in Italy

This paper aims to define and measure the environmental impacts associated with three distinct industry techniques used in the production of fresh tomatoes, from planting to harvesting. A comparative Life Cycle Assessment (LCA) is conducted to evaluate the environmental performance of producing one kilogram of fresh processing tomatoes. The study includes three Italian companies representing different Business Models: standard production, integrated production, and precision farming. The impact evaluation method used is ReCiPe, at both midpoint and endpoint levels. The results reveal that the adoption of advanced technology, such as precision farming, in managing the agricultural production of fresh tomatoes leads to a significant reduction in environmental impacts across all categories analyzed. Interestingly, the largest contribution to climate-changing gases comes from the use of fertilizers. Precision farming demonstrates a remarkable reduction of CO2 emissions by 52% compared to integrated production and 67% compared to standard production. This analysis provides valuable insights for managers and policymakers in developing strategies for large-scale, sustainable production using innovative techniques. The main contribution of this study lies in comparing the performance of three different Business Models employed in Italian fresh tomato production

Measurement of the cosmic ray spectrum above 4×10184{\times}10^{18} eV using inclined events detected with the Pierre Auger Observatory

A measurement of the cosmic-ray spectrum for energies exceeding $4{\times}10^{18}$ eV is presented, which is based on the analysis of showers with zenith angles greater than $60^{\circ}$ detected with the Pierre Auger Observatory between 1 January 2004 and 31 December 2013. The measured spectrum confirms a flux suppression at the highest energies. Above $5.3{\times}10^{18}$ eV, the "ankle", the flux can be described by a power law $E^{-\gamma}$ with index $\gamma=2.70 \pm 0.02 \,\text{(stat)} \pm 0.1\,\text{(sys)}$ followed by a smooth suppression region. For the energy ($E_\text{s}$) at which the spectral flux has fallen to one-half of its extrapolated value in the absence of suppression, we find $E_\text{s}=(5.12\pm0.25\,\text{(stat)}^{+1.0}_{-1.2}\,\text{(sys)}){\times}10^{19}$ eV.Comment: Replaced with published version. Added journal reference and DO

Energy Estimation of Cosmic Rays with the Engineering Radio Array of the Pierre Auger Observatory

The Auger Engineering Radio Array (AERA) is part of the Pierre Auger Observatory and is used to detect the radio emission of cosmic-ray air showers. These observations are compared to the data of the surface detector stations of the Observatory, which provide well-calibrated information on the cosmic-ray energies and arrival directions. The response of the radio stations in the 30 to 80 MHz regime has been thoroughly calibrated to enable the reconstruction of the incoming electric field. For the latter, the energy deposit per area is determined from the radio pulses at each observer position and is interpolated using a two-dimensional function that takes into account signal asymmetries due to interference between the geomagnetic and charge-excess emission components. The spatial integral over the signal distribution gives a direct measurement of the energy transferred from the primary cosmic ray into radio emission in the AERA frequency range. We measure 15.8 MeV of radiation energy for a 1 EeV air shower arriving perpendicularly to the geomagnetic field. This radiation energy -- corrected for geometrical effects -- is used as a cosmic-ray energy estimator. Performing an absolute energy calibration against the surface-detector information, we observe that this radio-energy estimator scales quadratically with the cosmic-ray energy as expected for coherent emission. We find an energy resolution of the radio reconstruction of 22% for the data set and 17% for a high-quality subset containing only events with at least five radio stations with signal.Comment: Replaced with published version. Added journal reference and DO

Measurement of the Radiation Energy in the Radio Signal of Extensive Air Showers as a Universal Estimator of Cosmic-Ray Energy

We measure the energy emitted by extensive air showers in the form of radio emission in the frequency range from 30 to 80 MHz. Exploiting the accurate energy scale of the Pierre Auger Observatory, we obtain a radiation energy of 15.8 \pm 0.7 (stat) \pm 6.7 (sys) MeV for cosmic rays with an energy of 1 EeV arriving perpendicularly to a geomagnetic field of 0.24 G, scaling quadratically with the cosmic-ray energy. A comparison with predictions from state-of-the-art first-principle calculations shows agreement with our measurement. The radiation energy provides direct access to the calorimetric energy in the electromagnetic cascade of extensive air showers. Comparison with our result thus allows the direct calibration of any cosmic-ray radio detector against the well-established energy scale of the Pierre Auger Observatory.Comment: Replaced with published version. Added journal reference and DOI. Supplemental material in the ancillary file