Tax-savvy executives

Review of Accounting Studies - We investigate why firms include individuals with significant professional tax experience on their senior management team and the consequences associated with the...     

Optimizing a portfolio of mean-reverting assets with transaction costs via a feedforward neural network

Optimizing a portfolio of mean-reverting assets under transaction costs and a finite horizon is severely constrained by the curse of high dimensionality. To overcome the exponential barrier, we develop an efficient, scalable algorithm by employing a feedforward neural network. A novel concept is to apply HJB equations as an advanced start for the neural network. Empirical tests with several practical examples, including a portfolio of 48 correlated pair trades over 50 time steps, show the advantages of the approach in a high-dimensional setting. We conjecture that other financial optimization problems are amenable to similar approaches.     

DO STOCK MARKET FLUCTUATIONS AFFECT SUICIDE RATES?

In this study, we extend the standard economic model of suicide by considering a new influential factor driving the voluntary death rate. Using an international sample, we estimate the model and document a robust and significant inverse relation between stock market returns and the percentage increase in suicide rates. Trends in male and female suicide are affected by market fluctuations, both contemporaneously and at a lag. This predictive quality of stock returns offers the potential to implement pro-active suicide prevention strategies for those who could be affected by the vagaries of the market and general economic downturns.     

Strategic Flexibility in New High‐Technology Ventures

Strategic flexibility is a vital capability for new ventures to update their strategies in a timely manner. However, the role of external knowledge sources in new ventures’ endeavours to develop strategic flexibility are unclear. Drawing on the knowledge‐based and relational views, we explore the effect of two sources of external knowledge: new product development (NPD) alliances, representing tightly coupled sources, and loosely coupled sources such as industry associations. Our field study of 148 high‐tech ventures found that the extent to which firms utilize knowledge from NPD alliances has a curvilinear relationship with strategic flexibility, whereas the extent to which firms utilize loosely coupled sources has a positive linear relationship with strategic flexibility. We also found that in new ventures, decentralization of decision‐making and institutional support enhance knowledge integration, positively moderating these relationships.     

Cost‐reflective pricing: empirical insights into irrigators’ preferences for water tariffs

Using prices to improve the efficiency with which water resources are allocated is now widely accepted in principle if somewhat difficult to achieve in practice. Whilst there are some technical difficulties associated with full‐cost recovery in irrigation, the lack of political will to tackle reform remains a significant impediment. This article reports the results of an empirical investigation into farmers’ preferences for changes to water prices and tariff structures. We conclude that some of the preferences of farmers are conducive to price reform. We also find evidence that public subsidy of infrastructure in irrigation is not always aligned with the preferences of farmers.     

Improving Markov switching models using realized variance

This paper proposes a class of models that jointly model returns and ex post variance measures under a Markov switching framework. Both univariate and multivariate return versions of the model are introduced. Estimation can be conducted under a fixed dimension state space or an infinite one. The proposed models can be seen as nonlinear common factor models subject to Markov switching and are able to exploit the information content in both returns and ex post volatility measures. Applications to equity returns compare the proposed models to existing alternatives. The empirical results show that the joint models improve density forecasts for returns and point predictions of return variance. Using the information in ex post volatility measures can increase the precision of parameter estimates, sharpen the inference on the latent state variable, and improve portfolio decisions.     

Semitractability of optimal stopping problems via a weighted stochastic mesh algorithm

In this paper, we propose a Weighted Stochastic Mesh (WSM) algorithm for approximating the value of discrete‐ and continuous‐time optimal stopping problems. In this context, we consider tractability of such problems via a useful notion of semitractability and the introduction of a tractability index for a particular numerical solution algorithm. It is shown that in the discrete‐time case the WSM algorithm leads to semitractability of the corresponding optimal stopping problem in the sense that its complexity is bounded in order by with being the dimension of the underlying Markov chain. Furthermore, we study the WSM approach in the context of continuous‐time optimal stopping problems and derive the corresponding complexity bounds. Although we cannot prove semitractability in this case, our bounds turn out to be the tightest ones among the complexity bounds known in the literature. We illustrate our theoretical findings by a numerical example.     

Aggregate and distributional impacts of China’s household responsibility system

It is 40 years since China started to abandon collective farming, with initial rural reforms in 1978 that culminated in adoption of the household responsibility system (HRS). Existing studies of impacts of these reforms do not consider nonrandom spread of the HRS, spillovers from early adopters, or distributional effects. In this paper, the synthetic control method and spatial autoregressive panel models with autoregressive errors are used to estimate impacts of the HRS that account for these features. The HRS had a significant positive effect on grain output and food supply in China, while also helping to reduce regional inequality.     

Independent director compensation,corruption, and monitoring

We find that independent directors in more corrupt countries receive greater pay. This relation could reflect outside directors in corrupt countries expropriating firm value, or it could reflect higher compensation for the additional effort required to lessen the negative effects of corruption. Acquirer acquisition announcement returns are lower in more corrupt countries, and this relation is mitigated by higher director pay. Higher director pay is also associated with greater sensitivity of CEO turnover to firm performance and moderates the negative effects of country‐level corruption on firm value. This evidence is consistent with higher director pay in corrupt countries incentivizing effort.