Model risk in credit risk

We provide sharp analytical upper and lower bounds for value‐at‐risk (VaR) and sharp bounds for expected shortfall (ES) of portfolios of any dimension subject to default risk. To do so, the main methodological contribution of the paper consists in analytically finding the convex hull generators for the class of exchangeable Bernoulli variables with given mean and for the class of exchangeable Bernoulli variables with given mean and correlation in any dimension. Using these analytical results, we first describe all possible dependence structures for default, in the class of finite sequences of exchangeable Bernoulli random variables. We then measure how model risk affects VaR and ES.     

Judicial Efficiency and Immigrant Entrepreneurs

Extensive research exists on the individual determinants of being an immigrant entrepreneur, concerning both social environment and human capital. However, the role of the judiciary has not been investigated yet. Analyzing more than 160,000 new micro enterprises owned by immigrants, our paper aims to fill this gap by focusing on the relation between justice and immigrant entrepreneurship. Results show that judicial efficiency is one of the determinants of self‐employment, although some differences among immigrant groups are identified. Therefore, the study confirms the key role of judicial enforcement in promoting not only growth but also the integration of these new citizens.     

Walras as an ordoliberal?

Léon Walras and the ordoliberals share the opinion that State intervention in favour of a competitive order is a central element of economic policy. Hence, can Walras be regarded as a forerunner of ordoliberalism? This study performs a methodological and ontological analysis of Walras’ and Eucken’s thoughts and sheds light on another common ground: philosophical idealism. By taking different inclinations – Walras’ Teleological Realism vs Eucken’s Historicist Conceptualism – these authors reveal different relations with reality and methodological stances, which result in opposing philosophies of History. Paradoxically, by revealing tenuous epistemological bonds, we set a new distance between Walras and the ordoliberals.     

Can entrepreneurial orientation improve sustainable development through leveraging internal lean practices?

This study aims to examine the mediating role of internal lean practices (ILPs) on the relationship between entrepreneurial orientation and triple bottom line performance (i.e. environmental, social, and operational performance). We examine Chile, which represents a vibrant economy and one of the world's most productive entrepreneurship ecosystems but with a history of socio‐economic inequalities and strong profit‐driven pressures to overextract natural resources. The study is based on a questionnaire related to manufacturing sent to 112 companies in Chile. The proposed relationships are analysed through structural equation modelling. The results indicate that ILPs fully mediate the effect of entrepreneurial orientation on environmental performance and social performance and partially mediates the effect of entrepreneurial orientation on operational performance. Our study extends the literature by explaining that entrepreneurial orientation builds and strengthens ILPs for creating triple bottom line competitive advantage.     

Innovation and Design in the Age of Artificial Intelligence

At the heart of any innovation process lies a fundamental practice: the way people create ideas and solve problems. This “decision making” side of innovation is what scholars and practitioners refer to as “design.” Decisions in innovation processes have so far been taken by humans. What happens when they can be substituted by machines? Artificial Intelligence (AI) brings data and algorithms to the core of the innovation processes. What are the implications of this diffusion of AI for our understanding of design and innovation? Is AI just another digital technology that, akin to many others, will not significantly question what we know about design? Or will it create transformations in design that current theoretical frameworks cannot capture? This paper proposes a framework for understanding the design and innovation in the age of AI. We discuss the implications for design and innovation theory. Specifically, we observe that, as creative problem-solving is significantly conducted by algorithms, human design increasingly becomes an activity of sensemaking, that is, understanding which problems should or could be addressed. This shift in focus calls for the new theories and brings design closer to leadership, which is, inherently, an activity of sensemaking. Our insights are derived from and illustrated with two cases at the frontier of AI—Netflix and Airbnb (complemented with analyses of Microsoft and Tesla)—which point to two directions for the evolution of design and innovation in firms. First, AI enables an organization to overcome many past limitations of human-intensive design processes, by improving the scalability of the process, broadening its scope across traditional boundaries, and enhancing its ability to learn and adapt on the fly. Second, and maybe more surprising, while removing these limitations, AI also appears to deeply enact several popular design principles. AI thus reinforces the principles of Design Thinking, namely: being people-centered, abductive, and iterative. In fact, AI enables the creation of solutions that are more highly user centered than human-based approaches (i.e., to an extreme level of granularity, designed for every single person); that are potentially more creative; and that are continuously updated through learning iterations across the entire product life cycle. In sum, while AI does not undermine the basic principles of design, it profoundly changes the practice of design. Problem-solving tasks, traditionally carried out by designers, are now automated into learning loops that operate without limitations of volume and speed. The algorithms embedded in these loops think in a radically different way than a designer who handles the complex problems holistically with a systemic perspective. Algorithms instead handle complexity through very simple tasks, which are iterated continuously. This paper discusses the implications of these insights for design and innovation management scholars and practitioners.     

Financial constraints and the growth and survival of innovative start-ups: An analysis of Italian firms

We study the impact of measures devoted to relieving financial constraints for the growth and survival of Italian innovative start-ups. Using balance sheet data on innovative start-ups and information on the use of the Italian Central Guarantee Fund for small and medium-sized enterprises, we evaluate whether access to the fund, relieving financial constraints, helps innovative start-ups survive and grow. We find innovative start-ups benefit significantly more than similar control firms. We shed light on the relevance of policies aimed at reducing financial constraints for the growth and survival of innovative start-ups, an issue receiving increasing attention at the European level.     

GROWING LIKE SPAIN: 1995–2007

Measured total factor productivity (TFP) fell in Spain during the boom years of 1995–2007. Using administrative data from the quasi-universe of firms, we show that there was an increase in misallocation, which was more severe in sectors where connections with public officials are more important for business success. We write and estimate a simple model of cronyism in which heterogeneous firms invest in political connections. Our quantitative exercise concludes that the institutional decline over this period costed 1.9% growth in TFP per year and a 0.8% annual increase in the resources spent by firms in establishing political connections.     

Do persistence and passion matter: Evidence from the educational testing service major field test in business

The authors examined the determinants of success on the Educational Testing Service Major Field Test in Business. The authors find that gender, SAT performance, and concentration are significant predictors of performance. Additionally, they derive proxies for student passion and persistence, and find that the greater the student's passion for business is, the higher the score is. The authors discover that students who demonstrate persistence, as measured by the extent to which they outperform their grade point average expectations, also score higher on the exam.