Incorporating risk in a positive mathematical programming framework: a dual approach

In this study we develop a new methodological proposal to incorporate risk into a farm‐level positive mathematical programming (PMP) model. We estimate simultaneously the farm nonlinear cost function and a farmer‐specific coefficient of absolute risk aversion as well as the resource shadow prices. The model is applied to a sample of representative arable crop farms from the Emilia‐Romagna region in Italy. The estimation results confirm the calibration ability of the model and reveal the values of the individual risk aversion coefficients. We use the model to simulate different scenarios of crop price volatility, in order to explore the potential risk management role of an agri‐environmental scheme.     

Shortfall aversion

Shortfall aversion reflects the higher utility loss of spending cuts from a reference than the utility gain from similar spending increases. Inspired by Prospect Theory's loss aversion and the peak‐end rule, this paper posits a model of utility from spending scaled by past peak spending. In contrast to traditional models, which call for spending rates proportional to wealth, the optimal policy in this model implies a constant spending rate equal to the historical peak when wealth is relatively large. The spending rate increases when wealth reaches a model‐determined multiple of peak spending. In 1926–2015, shortfall‐averse spending is smooth and typically increasing.     

Who should sell stocks?

Never selling stocks is optimal for investors with a long horizon and a realistic range of preference and market parameters, if relative risk aversion, investment opportunities, proportional transaction costs, and dividend yields are constant. Such investors should buy stocks when their portfolio weight is too low and otherwise hold them, letting dividends rebalance to cash over time rather than selling. With capital gains taxes, this policy outperforms both static buy‐and‐hold and dynamic rebalancing strategies that account for transaction costs. Selling stocks becomes optimal if either their target weight is low or intermediate consumption is substantial.     

Deferred taxation under default risk

In this article, we have used a continuous EBIT-based model to study deferred tax liabilities under default risk. Quite surprisingly, default risk has been disregarded in research on deferred taxation. In order to underline its importance, we first calculated the probability of default, over a given time period, together with the contingent value of tax deferral. We then applied our theoretical model to a sample of 27,749 OECD companies. We showed that, when accounting for both firms with a negative EBIT and firms with a probability of default higher than 50% (over a 10-year period), a relevant percentage of firms were close enough to default. Hence, the expected present value of deferred taxes is much lower than that obtained in a deterministic context. From the Government’s point of view, deferred tax liabilities are a risk-free loan. Since only a portion are subsequently repaid, the Government should account for future losses due to companies’ default. So far, these estimates have been missing, although techniques do exist and are quite practical.     

Mapping the antecedents of telework diffusion: firm‐level evidence from Italy

Previous literature has studied telework practices predominantly from the employees' perspective rather than exploring its use at the firm level. With the objective of contributing to reducing this research gap, the relationship between firms' adoption of telework and the firms' technological, organisational and environmental contexts is explored. Data were obtained from a survey conducted between 2005 and 2009 on a sample of 1,134 Italian firms in the Piedmont region. The results show an overall increase in the diffusion of telework primarily attributable to a rise in the adoption of ‘mobile’ work rather than home‐based forms of telework. The results also show that firms that had previously adopted information systems supporting core business processes and knowledge management were more inclined to adopt telework. Telework arrangements were more widely diffused among firms facing a growing and geographically dispersed market demand, and also in the contexts of higher levels of human capital and lower capital intensity.     

Restructuring the Alitalia business model

This paper analyzes the performance of the Italian airline company, Alitalia, after the deregulation in the air transport industry in the European Union. Company performance is analyzed using Tornqvist indices. The evidence shows as Alitalia productivity slowdown has been caused by the company failure to support an increase in input with a supply-oriented strategy.     

The Italian airport industry in transition: a performance analysis

This paper analyzes the impacts of Italian government actions on the efficiency of 36 airports between 2001 and 2003. The changes have included privatization, enlargement of the services provided directly by airport management companies, through the modification of the concession agreements, and the creation of two hubs. The analysis, using the consolidated two-stage data envelopment analysis with bootstrapping, indicates that airports with a majority public holding are on average more efficient and the presence of two hubs is source of inefficiency.     

Identifying bank outputs and inputs with a directional technology distance function

The bank efficiency literature lacks an agreed definition of bank outputs and inputs. This is problematic given the long-standing controversy concerning the status of deposits, but also because bank efficiency estimates are known to be affected by the inclusion of additional outputs such as non-traditional (fee-based) activities or risk measures. This paper proposes a data-driven identification of bank outputs and inputs using the directional technology distance function. While previous applications of this tool used symmetric expansion or contraction directions, we focus on a set of orthogonal directions, each corresponding to an assumption on the input/output status of an individual variable. These directions correspond to a set of different specifications, whose estimated coefficients can be used to determine the input or output status of all variables except the regressand. Our empirical analysis revealed a very consistent pattern across the alternative specifications estimated. There is strong evidence that customer deposits are an input, and that non-performing loans are an important undesirable output. Finally, the orthogonal expansions/contractions we consider avoid the simultaneity problem raised by the “convenient normalization” commonly used to impose linear homogeneity in stochastic frontier estimation.