Diversification Strategies and Corporate Coherence Evidence from Italian Leading Firms

This paper investigates the determinants of coherence and coherence change usinga sample of Italian leading firms in the period 1993–1996. Consistently with thehypotheses advanced by Teece et al. (1994), the econometric analysis highlightsthat relatedness between pairs of sectors and coherence of diversification strategiesare higher when firms are active in sectors sharing similar technological and marketingcharacteristics, and when they are positioned at different stages of the productive chain.Moreover, the findings that firms which enter the group of top 5 industry leaders aremore coherent than the average and that coherence is increasing for firms active insectors more sensitive to EU integration are consistent with the prediction that coherentfirms tend to outperform less coherent ones and that coherence is increasing in morecompetitive environments. Finally, the results show that a deepening of vertical integration strategies is good for coherence change, while an increase of diversification brings a reduction in coherence.     

Designing business models in circular economy: A systematic literature review and research agenda

The concept of circular economy is increasingly receiving attention in different domains, including strategic management, operations management, and technology management. It requires companies to design their business model (i.e., the value network, the relationships with the supply chain partners, and the value propositions towards customers) around a new concept of sustainable development that reduces consumption of natural resources and preserves the environment. However, extant research falls short in terms of explaining how companies design their business model according to the circular economy principles. Starting from this premise, the present paper provides a systematic review of the literature on the design of business models in the context of circular economy, aiming to offer an overview of the state of research and outline a promising research agenda.     

The effects of COVID-19 containment measures on the Asia-Pacific region

As the COVID-19 pandemic spread across the world, governments introduced significant containment measures to control the spread of the virus. In this paper, we leverage inputs from IMF desk economists to construct a novel narrative index of containment measures for 11 countries in the Asia-Pacific region. A key innovation in our index is that it distinguishes between economic sectors (services, industry, retail), thus providing a more granular view of restrictions related to economic activity. Using this index, along with other high-frequency data, we find that containment measures have been successful in reducing the spread of the virus (though with some heterogeneity) but have also been associated with large short-term economic costs. Furthermore, exploiting the granularity of our index, we find that differences in strategies across countries regarding the closing of the industrial sector have mattered: imposing less severe restrictions on industry has been associated with lower economic costs without leading to worse health outcomes, possibly reflecting the less contact intensive nature of industrial activity.     

The impact of production offshoring on the skill composition of manufacturing firms: evidence from Italy

In this work we explore how the international outsourcing of production impacts the skill composition of employment within Italian manufacturing firms. In particular, our aim is to assess whether the choice to offshore production activities to cheap‐labour countries implies a bias in the employment of skilled workers relative to unskilled ones.

Using a balanced panel of firms covering the period 1995–2003, we set up a counterfactual analysis in which, by using a difference‐in‐differences propensity score matching estimator, we compare the dynamics of skill demand for treated and control firms while addressing the possible problem of selection bias.

Our results identify a ‘potential’ skill bias effect of production offshoring. In particular, we find that treated firms tend to show an upward shift in the skill ratio with respect to the counterfactual sample, but coefficients are not significantly different from zero. When we look at the elements of the skill ratio separately, we find that the skill bias is driven by a fall in the employment of production workers (blue collars), rather than by the increase in the employment of non‐production workers (white collars), thus providing further evidence on the unskilled labour‐saving nature of international outsourcing.     

Some reflections on past and future of nonlinear dynamics in economics and finance

This paper offers an overview of the literature on the economic and financial applications of theory of nonlinear dynamics, especially bifurcation theory. After a short introductory discussion of the first nonlinear dynamic models in social sciences and the economic relevance of the zoo of bifurcations and complicated dynamics that such models can generate, we present an overview of the literature on nonlinear dynamic models in the areas of underdevelopment, environmental poverty traps, the management of common goods, industrial organization and financial markets. The review of the literature is enriched by reflections and ideas for future research.     

Threshold bipower variation and the impact of jumps on volatility forecasting

This study reconsiders the role of jumps for volatility forecasting by showing that jumps have a positive and mostly significant impact on future volatility. This result becomes apparent once volatility is separated into its continuous and discontinuous components using estimators which are not only consistent, but also scarcely plagued by small sample bias. With the aim of achieving this, we introduce the concept of threshold bipower variation, which is based on the joint use of bipower variation and threshold estimation. We show that its generalization (threshold multipower variation) admits a feasible central limit theorem in the presence of jumps and provides less biased estimates, with respect to the standard multipower variation, of the continuous quadratic variation in finite samples. We further provide a new test for jump detection which has substantially more power than tests based on multipower variation. Empirical analysis (on the S&P500 index, individual stocks and US bond yields) shows that the proposed techniques improve significantly the accuracy of volatility forecasts especially in periods following the occurrence of a jump.     

Su di una politica di bonus

Si prende in considerazione una politica di Bonus attuata da una Compagnia di assicurazione e si studia l'andamento della perdita attesa della Compagnia al variare dell'entità del Bonus nei casi in cui:

1. la funzioneL(s), che esprime il livello minimo dell'entità dei sinistri non occultabili all'istantes, sia lineare ins;
2. la funzioneL(s) renda massima la previsione del guadagno di ogni singolo assicurato.

     

Nonlinear economic growth: Some theory and cross-country evidence

This paper aims to test the existence of different growth regimes, that is of different relationships between growth rate and income level. We propose a simple nonlinear growth model and test its empirical implications by estimating Markov transition matrices and stochastic kernels. We show that growth is indeed nonlinear: a first phase of slow or zero growth is followed by a take-off and, finally, by a phase of deceleration. We discuss the relevance of these results with respect to the issue of convergence and reversibility of development, in the light of models of structural change and technological diffusion.     

Going Public and the Enrichment of a Supportive Network

Past research on initial public offerings suggests that the reputation of a company positively affects the success of the offering. Success is usually measured in financial terms as if the essence of the operation lay only in the short-term inflow of money. In this paper, we investigate important albeit often neglected implications of going public by combining evidence from a series of preliminary case studies taken from the results of a survey of 57 Italian initial public offerings. Evidence from our research suggests that, besides providing an important inflow of capital, going public may actually improve the reputational and social capital of a company, by increasing its visibility, prestige and perceived trustworthiness. Therefore, going public may be an important way to support entrepreneurial activity, as it may expand and reinforce the network of relationships that offer access to external resources, complementary skills and investment opportunities.