Exit as governance: do blockholders affect corporate innovation in large US firms?

Using a sample of large US firms, this study shows that blockholders in combination with liquidity can contribute positively to innovation (R&D investments). We contribute to the literature on managerial myopia that has focused mainly on large owners and their type (short-term/long-term). Our results are in line with recent theoretical studies arguing that blockholders in combination with market liquidity can mitigate managerial myopia, as suggested by the exit model of governance. The results indicate that blockholders can be efficient in resolving agency problems and that they can enhance long-term prosperity, even when the individual blockholder investment horizon may not be long.     

Family logics and environmental sustainability: A study of the New Zealand wine industry

The majority of small- and medium-sized enterprises (SMEs) in the wine industry are family owned and operated providing a unique organisational structure to study environmental sustainability engagement. However, researchers at the intersection of environmental sustainability (ES) and family businesses tend to oversimplify family businesses as homogeneous regarding ES. Therefore, the broader goal of this paper is to investigate the antecedents of heterogeneities among family firms related to ES. The paper aims to understand how family firms portray different aspects of family influence (family goals, family values, culture and ethics, and the imprints of the founders and the next generation) in their ES disclosures. Family logics are used as a theoretical lens to analyse family influence. A qualitative content analysis of 72 corporate websites of family firms operating in the New Zealand wine industry was conducted. Antecedents of heterogeneities were revealed with a discussion of three typologies of family firms: family first, business first and upstarts.     

Combining Opinions for Use in Bayesian Networks: A Measurement Error Approach

Bayesian networks (BNs) are graphical probabilistic models used for reasoning under uncertainty. These models are becoming increasingly popular in a range of fields including engineering, ecology, computational biology, medical diagnosis and forensics. In most of these cases, the BNs are quantified using information from experts or from users' opinions. While this quantification is straightforward for one expert, there is still debate about how to represent opinions from multiple experts in a BN. This paper proposes the use of a measurement error model to achieve this. The proposed model addresses the issues associated with current methods of combining opinions such as the absence of a coherent probability model, the loss of the conditional independence structure of the BN and the provision of only a point estimate for the consensus. The proposed model is applied to a subnetwork (the three final nodes) of a larger BN about wayfinding in airports. It is shown that the approach performs well than do existing methods of combining opinions.     

More distance,more remittance? Remitting behavior,travel cost,and the size of the informal channel

The rising number of foreign workers in Italy during the last 15 years has led to a conspicuous increase in the amount of remittances sent abroad. In this paper, we examine the determinants of remittance outflows originated in Italy and transferred abroad through registered financial intermediaries. After controlling for a wide set of socioeconomic regressors, we document a strong positive relation between remittances and the cost of travel between Italy and the migrants' respective home countries. We interpret this result as indirect evidence of unrecorded flows, since the relation between remittances and travel cost should be non‐significant unless geographical proximity permits remitters to switch to informal (non‐observable) transmission mechanisms. Moreover, using data on temporal and monetary costs for a subset of bilateral corridors, we also find remittances to be negatively correlated with high transaction costs and low speed of transfer. We rely on this empirical evidence and on a model of migrants' remitting behavior to present new strategies for estimating the size of the informal outflow.     

Optimal portfolios when volatility can jump

We consider an asset allocation problem in a continuous-time model with stochastic volatility and jumps in both the asset price and its volatility. First, we derive the optimal portfolio for an investor with constant relative risk aversion. The demand for jump risk includes a hedging component, which is not present in models without volatility jumps. We further show that the introduction of derivative contracts can have substantial economic value. We also analyze the distribution of terminal wealth for an investor who uses the wrong model, either by ignoring volatility jumps or by falsely including such jumps, or who is subject to estimation risk. Whenever a model different from the true one is used, the terminal wealth distribution exhibits fatter tails and (in some cases) significant default risk.