Pricing of the time-change risks

We develop an equilibrium endowment economy with Epstein-Zin recursive utility and a Lévy time-change subordinator, which represents a clock that connects business and calendar time. Our setup provides a tractable equilibrium framework for pricing non-Gaussian jump-like risks induced by the time-change, with closed-form solutions for asset prices. Persistence of the time-change shocks leads to predictability of consumption and dividends and time-variation in asset prices and risk premia in calendar time. In numerical calibrations, we show that the risk compensation for Lévy risks accounts for about one-third of the overall equity premium.     

Television-Induced Tourism: Evidence from Croatia

Atlantic Economic Journal - This paper analyzes the extent to which the filming of the popular television show Game of Thrones affected tourism in the Croatian city of Dubrovnik. Using monthly data...     

Relating in business networks: Innovation in practice

Few studies have looked at the innovation process in the early stages of new business ventures in the context of business networks. Reporting on eight years of development of a new venture, we examine how the development of initial business relationships in an ever-changing business network affects technological innovation. We conclude that technological innovation is contingent on the development of business relationships that are a critical mechanism permitting a new venture not only to access but also to produce knowledge essential for innovating. For management this implies the need to strike a judicious balance between internal focus and closure to produce novel solutions and external focus and openness to experiment in business relationships.     

Understanding China's demand for resource imports

Is China's demand for resources driven predominantly by domestic factors or by global demand for its exports? The answer to this question is of interest given the highly resource-intensive nature of China's growth, and is important for many resource-exporting countries, such as Australia, Brazil, Canada and India. This paper provides evidence that China's (mainly manufacturing) exports have been a significant driver of its demand for resource commodities over recent decades. First, it employs input–output tables to demonstrate that, historically, manufacturing has been at least as important as construction as a driver of China's demand for resource-intensive metal products. Second, it shows that global trade in non-oil resource commodities can be described by the gravity model of trade. Using this model it is found that, controlling for other determinants of resource trade, exports (and the manufacturing sector more generally) are a sizeable and significant determinant of a country's resource imports, and that this has been true for China as well as for other countries.