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Putting a particular emphasis on nonparametric methods that rely on modern empirical process techniques, the author contributes to the theory of static and time-varying stochastic models for multivariate association based on the concept of copulas. These functions enable a profound understanding of multivariate association, which is pivotal for judging whether a large set of risky assets entails diversification effects or aggravates risk from an entrepreneurial point of view. Since serial dependence is a stylized fact of financial time series, an asymptotic theory for estimating the structure...

Rethinking links between bioenergy, climate change, land use and water, this book highlights research that offers an integrated approach to sustainable bioenergy development and seeks to improve understanding of the present and future potential of bioenergy.

This book focuses primarily on the advantages and implications of sustainable bioenergy production in terms of ensuring a more sustainable world despite its growing energy demands. It addresses a new concept that focuses on the interactions between different uses of agricultural land (for example, agriculture for food, forage or energy and nature conservation) and their ecological, economic and societal impacts. This research concept provides new insights into the competition for resources and the synergies between different land uses. This book seeks to improve people s understanding of...