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We present results of a survey conducted with researchers and practitioners involved in a Swiss National Research Programme on steering energy consumption. We analyse what motivates practitioners and researchers to engage in a collaborative research projec ...
This thesis consists of three applications of machine learning techniques to empirical asset pricing.In the first part, which is co-authored work with Oksana Bashchenko, we develop a new method that detects jumps nonparametrically in financial time series ...
An attempt is made to translate five generic key performance indicators (KPIs) into a continuous real-time cost function in a batch order-based manufacturing environment. The challenge of controlling and optimizing resource utilization, production efficien ...
In this study, we move beyond the predominant focus entrepreneurship researchers have put on the acquisition of financial capital from professional investors by exploring how, and with what effects, entrepreneurs can mobilize all required resources?financi ...
We present results of a survey conducted with researchers and practitioners involved in a Swiss National Research Programme on steering energy consumption. We analyse what motivates practitioners and researchers to engage in a collaborative research projec ...
The creation of high fidelity synthetic data has long been an important goal in machine learning, particularly in fields like finance where the lack of available training and test data make it impossible to utilize many of the deep learning techniques whic ...
Environmental reporting as part of Corporate Social Responsibility reporting (CSR) is one of the governance tools increasingly used by companies to measure, analyse and communicate on their ecological information. The rules and standards governing their en ...
Paul Scherrer Institute, World Resources Forum2019
Some recent trends in distributed intelligent systems rely extensively on agent-based approaches. The so-called Multi Agent Systems (MAS) are taking over the management of sensitive data on behalf of their producers and users (e.g., medical records, financ ...
In this paper, we introduce the notion of an "opportunity good" as a discount production input that may prove of satisfactory quality upon inspection and otherwise can be returned to the supplier. While in a quality-sensitive setting it is never optimal to ...
The paper adds to the literature on the barriers to innovation in two ways. First, we assess comparatively what mostly constrains firms' ability to translate investment in innovation activity into new products and processes, whether it is mainly finance, a ...