Stochastic continuous time growth models that allow for closed form solutions

We find a closed form solution that maximises the expected utility of an agent’s inter-temporal consumption subject to a stochastic technology, which is a linear combination of AK and Cobb–Douglas technologies. Additionally, we consider two cases of agent preferences: (i) Constant Relative Risk Aversion (CRRA) preferences, which treat optimal consumption as a linear function of capital, and (ii) Hyperbolic Absolute Risk Aversion (HARA) preferences, which treat optimal consumption as an affine function of capital. By establishing a minimum (subsistence) level of consumption in the HARA model, we are able to create a framework that more accurately represents real-world circumstances than previous studies have done. Furthermore, for both the CRRA and HARA cases we show the suitable, consistent stochastic differential equation which describes the capital dynamics. Finally, we perform a numerical simulation based on the CRRA case and calibrate US data for the HARA case.     

On efficient partnership dissolution under ex post individual rationality

This paper studies ex post individually rational, efficient partnership dissolution in a setting with interdependent valuations. We derive a sufficient condition that ensures the existence of an efficient dissolution mechanism that satisfies Bayesian incentive compatibility, ex post budget balancedness, and ex post individual rationality. For equal-share partnerships, we show that our sufficient condition is satisfied for any symmetric type distribution whenever the interdependence in valuations is non-positive. This result improves former existence results, demonstrating that the stronger requirement of ex post individual rationality does not always rule out efficiency. We also show that if we allow for two-stage revelation mechanisms, in which agents report their realized payoffs from the allocation, as well as imposing penalties off the equilibrium path, efficient dissolution is always possible even when the interdependence is positive. We further discuss the possibility of efficient dissolution with ex post quitting rights.     

Completing the technology transfer process: M&As of science-based IPOs

This paper investigates the valuation and merger and acquisition (M&A) dynamics of the population of 254 biotech firms that went public in Europe between 1990 and 2009. Among these, we identify a high proportion (40%) of firms affiliated with a university or another public research organization. After controlling for intellectual capital and other possible determinants, we find that affiliation with a university is recognized as beneficial by investors. This affiliation enhances the valuation of the firms and the probability of being targeted in subsequent M&As, particularly in cross-border deals. We conclude that following the initial public offering acquisitions by incumbent firms are mechanisms to finalize the technology transfer process started in a research institute. Our findings allow us to derive implications for venture investors, academic entrepreneurs, university managers, and policymakers.     

Safety Reloaded: Lean Operations and High Involvement Work Practices for Sustainable Workplaces

Starting from the recent quest to investigate the human side of organizational sustainability, this study applies a variety of regression analyses to investigate the effects of Lean Operations, High Involvement Work Practices, and management behaviors on occupational safety. It tests and finds support for the hypotheses that Lean Production systems, High Involvement Work Practices, and two specific management behaviors—workers’ capability development (coaching and teaching of workers) and empowerment (autonomy and participation of workers in developing their own job standards)—positively affect occupational safety. Furthermore, empowering behaviors positively moderate the effect of Lean Operations on workers’ safety. The study bridges sustainable operations literature with theories related to the ethical side of safety management, sustainable HRM, ethical leadership, and empowerment. In doing so, it contributes to the understanding of occupational safety as constitutive aspect of organizational sustainability.     

A Stock Flow Consistent Analysis of a Schumpeterian Innovation Economy

Schumpeter argued that boom and bust cycles are inherent to the rise of innovation and constitute an unavoidable consequence of the way the capitalist system reacts to the emergence of a wave of innovations. This contribution aims to describe Schumpeterian economic development in a ‘monetary theory of production’ framework, emphasizing the crucial role played by credit creation, conceived as ‘the monetary complement’ of innovation. By adopting a stock flow consistent analytical approach, we analyze both the structural change process triggered in the real economy by the emergence of innovation, and the monetary dynamics arising during the various stages of the development process.     

Targeting welfare in Italy: old problems and perspectives on reform

This paper has two principal objectives. Using a tax‐benefit microsimulation model and the 1998 micro data of the Bank of Italy survey of household income and wealth, we first study the distributional effects of the current Italian income maintenance system and highlight its main defects and limitations, concerning in particular its unequal coverage of the population and its low efficiency in fighting poverty. The second aim is to describe and analyse the reforms recently implemented in this field; in particular, the Italian government has reformed the targeting criteria and introduced three new cash transfers. We describe these reforms both in their institutional characteristics and in their likely distributional consequences, and examine whether and to what extent they are able to overcome the shortcomings of the current system.     

Modelling systemic price cojumps with Hawkes factor models

Instabilities in the price dynamics of a large number of financial assets are a clear sign of systemic events. By investigating portfolios of highly liquid stocks, we find that there are a large number of high-frequency cojumps. We show that the dynamics of these jumps is described neither by a multivariate Poisson nor by a multivariate Hawkes model. We introduce a Hawkes one-factor model which is able to capture simultaneously the time clustering of jumps and the high synchronization of jumps across assets.     

Estimating loss-given default through advanced credibility theory

The New Basel Accord allows internationally active banking organizations to calculate their credit risk capital requirements using an internal ratings based approach, subject to supervisory review. One of the modeling components is the loss-given default (LGD): it represents the credit loss for a bank when extreme events occur that influence the obligor ability to repay his debts to the bank. Among researchers and practitioners the use of statistical models such as linear regression, Tobit or decision trees is quite common in order to compute LGDs as a forecasting of historical losses. However, these statistical techniques do not seem to provide robust estimation and show low performance. These results could be driven by some factors that make differences in LGD, such as the presence and quality of collateral, timing of the business cycle, workout process management and M&A activity among banks. This paper evaluates an alternative method of modeling LGD using a technique based on advanced credibility theory typically used in actuarial modeling. This technique provides a statistical component to the credit and workout experts’ opinion embedded in the collateral and workout management process and improve the predictive power of forecasting. The model has been applied to an Italian Bank Retail portfolio represented by Overdrafts; the application of credibility theory provides a higher predictive power of LGD estimation and an out-of-time sample backtesting has shown a stable accuracy of estimates with respect to the traditional LGD model.