Are stock price dynamics affected by financial analysts recommendations? Evidence from Italian green energy stocks

Quality & Quantity - In this paper we analyze whether financial analysts recommendations on trading strategies related to a given stock can influence its price dynamics. The recommendation for...     

The Board of Directors and The Adoption of Quality Management Tools

Abstract

The article examines the role of the board of directors in Local Public Utilities (LPUs). It aims at verifying empirically if a correlation exists between specific characteristics of the board of directors and the adoption of innovative arrangements addressing emerging needs of users and citizens (i.e. quality). By means of applying multivariate statistical methods to a random sample of sixty Italian LPUs, this study finds the relational capital of the boards affecting the take up of quality-oriented actions by LPUs. These results support the resource-dependence theory, neglected by mainstream literature.     

The IAS/IFRS application on the intangible assets of non-listed companies

With the introduction of IFRS （International Financial Reporting Standards） most of the intangibles are expensed on the income statement and hence they ＂disappear＂ from the balance sheet, while investments in tangible assets are capitalized. Based on a sample of 128 firms, made up of 99 SMEs （Small and Medium Enterprises） and 29 large firms, and through a simulation of IAS （International Accounting Standards） transition, the authors＇ study finds that IAS 38 reduces the amount of intangible assets recognized on the balance sheet of SMEs, while large firms do not appear to experience such large reductions in their intangible assets. The differential effect of IAS 38 on SMEs and large firms can be explained by the different growth strategies of these firm types. SMEs largely depend on internal paths of growth and intangibles assets that typically arise from internal growth strategies are eliminated from the balance sheet under IAS 38. Larger firms are less exposed to such reductions in their intangibles assets, because they mostly follow external paths of growth and the treatment of those intangible assets that typically arise from external growth strategies requires the impairment test.     

Unit nonresponse errors in income surveys: a case study

A survey on the economic and social conditions of households in the city of Modena was carried out in 2002 and in 2006 (two waves) by the CAPP (Centre for Analyses of Public Policies). In the first wave of 2002, each designated sampling unit (i.e., the family) had three units as reserves. If the first refused to be interviewed, the interviewer contacted the three reserves, one after the other, until obtaining either one respondent or four non-participant units. At the end of the survey four categories of units were distinguished: interviewees, refusals, noncontacts, and unused reserves. All units were matched with their corresponding record in the databases of the Ministry of Finance of 2002 and the Census of 2001. The resulting data set permitted the analysis of unit or total nonresponses. The distribution of fiscal income showed different shapes for the four categories, implying a selective participation of the families. The interviewees yielded a positive bias of about 600?, holding constant other factors. The selection of the significant factors affecting nonresponse was performed via backward elimination in a logit model and with the lasso method. Participation increased as fiscal income and age increased and by education level (secondary school and university degree), while it decreased among entrepreneurs, independent workers, managers, and medium-to-low skilled workers.     

Three Corrected Score Tests for Generalized Linear Models with Dispersion Covariates

We develop three corrected score tests for generalized linear models with dispersion covariates, thus generalizing the results of Cordeiro , Ferrari and Paula (1993) and Cribari-Neto and Ferrari (1995) . We present, in matrix notation, general formulae for the coefficients which define the corrected statistics. The formulae only require simple operations on matrices and can be used to obtain analytically closed-form corrections for score test statistics in a variety of special generalized linear models with dispersion covariates. They also have advantages for numerical purposes since our formulae are readily computable using a language supporting numerical linear algebra. Two examples, namely, iid sampling without covariates on the mean or dispersion parameter oand one-way classification models, are given. We also present some simulations where the three corrected tests perform better than the usual score test, the likelihood ratio test and its Bartlett corrected version. Finally, we present a numerical example for a data set discussed by Simonoff and Tsai (1994) .     

Synchronization and diversity in business cycles: a network analysis of the European Union

In this article, we use a correlation matrix and its internal networks to analyse business cycle synchronization across Europe since 2000. This methodology allows us to summarize individual country interactions and co-movements while also capturing the existing heterogeneity of connectivity within the European economic system. Our results indicate that synchronization of the euro zone countries remained stable from 1999 until the current financial crisis, after which co-movements increased sharply and synchronization rose to the highest in the time sample. By endogenously identifying clusters of countries with close connections in their business cycle, we also refute the commonly accepted notion of identifiable core and peripheral euro zone countries.     

Policy impact assessment in developing countries using Social Accounting Matrices: The Kenya SAM 2014

This paper describes the structure and estimation of a Social Accounting Matrix (SAM) of Kenya for the year 2014. Among its specificities, this SAM includes a very high disaggregation of the agri‐food sector and accounts for the double role of households as producers and consumers. Accounting for these characteristics is crucial to provide robust socioeconomic analysis in the context of developing countries. Indeed, this type of database is valuable to perform ex‐ante evaluations of economic policies with various economic models and techniques. In this paper, we present an application with a linear multiplier analysis (backward linkages and value chain decomposition). The results show the capacity of the primary sector in Kenya to generate value added and employment, with this growth distributed more intensely in rural households whose main livelihood is semi‐subsistence agriculture.     

Measuring the quality of port hinterland accessibility: The Ligurian case

Traditionally, distance was considered the parameter that could better reflect the economic influence of a seaport on land. Containerisation and intermodality progressively eroded such a paradigm and currently distance became only one of the factors across the overall “equation”. In this respect, a fundamental role is played by the effectiveness of inland connections. The better the connection of a port to the various inland markets, the bigger the potential to enlarge its overall captive area. Furthermore, the higher the “frictions” (bottlenecks, delays, etc.) for reaching the hinterland, the lower the inland traffic flows.The major purpose of the paper is to measure container traffic diversion from Ligurian ports (Genoa, La Spezia and Savona) to the main Italian and European competitors.The application of a gravity model will reveal the current role of distance in drawing hinterland market share among the selected ports. Moreover, for evaluating the unexploited potentialities of Ligurian ports, we compared real traffic flows with the outcomes of a spatial interaction model, reassigning inland container flows to the different sampled ports. The calculation of the traffic delta through a gap analysis, allowed measuring the “frictions” thwarting the connectivity between the Ligurian ports and the sampled hinterland regions. Finally, the paper discusses the nature and the reasons for the above traffic diversion.     

Marginal places and tourism: the role of Buddhist centers in Italy

Religious tourism in Italy has always been an attractor at an international level. For many centuries, it has been entirely represented by the Christian pilgrimage to St. Peter’s Basilica. In recent decades, however, the religious scenery has changed deeply, and now includes even non-Christian religions and spiritualities. In this paper we compare two (very different) Buddhist centers, both located in places of Italy where tourism is not (or is no more) a significant component of the local economy. Buddhist centers are increasingly becoming popular tourist attraction: our purpose is to investigate to what extent and under which conditions they can be actors of local tourism development. The most significant of these conditions seems to be the nature of the center itself, ranging from a hermitage relatively unconcerned about any quantitative development, to a structure where spiritual ends are reconciled both with expansion and with economic integration within the local community.