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Corporate Governance in a Complicated World
Grundlagen und Anwendung
What Stakeholders Say About the Revolution
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The Irish Government has identified research and development (R&D) and innovation as among the key pillars of growth within the economy. To achieve this growth, R&D tax incentives, which are adopted in advanced economies, are set into policy to encourage firms to innovate, thus, making companies more competitive and productive. One of the key enablers to driving R&D is a well-designed, competitive and sustainable tax policy to support the activity. However, evidence on the effectiveness of R&D tax incentives for innovation is largely anecdotal and the influence of innovation on firm-level taxation is still underexplored, in terms of and empirical examination. This paper sets out to review the recent trends and views of industry regarding R&D tax credits.


We employ the static and dynamic copula models to investigate whether technical indicators provide information on volatility in the next trading day, where the volatility is measured by daily realized volatility. Our empirical results, based on long samples of 8 well-known stock indexes, suggest that a significant and asymmetric tail dependence between the technical indicators based on moving average and the next day volatility. The level of dependence change over time in a persistent manner. And the dependence structure presents some distinct differences between emerging market indexes and developed market indexes. These results indicate that the technical indicators can provide information on the next day volatility at extremes, and are less informative at normal market.