Thomas Purdel Empirischer Ansatz zur Umsatzprognose von Einzelprojekten am Beispiel US-amerikanischer Kinofilmproduktionen
Schriftenreihe innovative betriebswirtschaftliche Forschung und Praxis, volume 394
Hamburg 2014, 312 pages
ISBN 978-3-8300-7694-0 (print)
ISBN 978-3-339-07694-6 (eBook)
about this book deutsch english
When deciding whether to invest in a project, generally the investment comes with the risk that the forecasted operational and/or financial success could be less than expected or even absent. Focusing on unique projects this risk gets a value added because predicting the financial success of these kinds of special projects seems to be more difficult in general. There are only few processes that can be repeated, when producing an unique item. Methods of capital budgeting which are in common use – e.g. calculating the net present value of an investment – need some several input factors like the cost of capital, the height of the expected cash flows and additionally the point in time when these cash flows will occur to help the investor to find acceptable projects. In the past several approaches (e.g. CAPM) to find the right cost of capital were developed. Furthermore there have been a lot of approaches that focused the prediction of the cumulative revenues of an investment, ignoring the points in time when the cash flows will appear.keywords
AI Artificial Intelligence BWL Clusteranalyse Data Mining Erfolgsfaktoren KI Kinofilme Künstliche Intelligenz Künstliche neuronale Netze Medienökonomie Multivariate Analysemethoden UmsatzprognoseIhr Werk im Verlag Dr. Kovač

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