Ein Blog der ZHAW Zürcher Hochschule für Angewandte Wissenschaften
Identifying optimal strategies for sustainable investing remains hampered by a plethora of technical and methodological challenges. We propose to leverage patent data and AI to take green finance to a new level of efficiency in mitigating global threats such as climate change and pollution.
In this article, the authors construct a pipeline to benchmark hierarchical risk parity (HRP) relative to equal risk contribution (ERC) as examples of diversification strategies allocating to liquid multi-asset futures markets with dynamic leverage (volatility target). The authors use interpretable machine learning concepts (explainable AI) to compare the robustness of the strategies and to back […]
Developing the scientific foundations for Trustworthy AI through the integration of learning, optimisation and reasoning. The purpose of the EU Project TAILOR is to build the capacity to provide the scientific foundations for Trustworthy AI in Europe by developing a network of research excellence centres leveraging and combining learning, optimisation, and reasoning. These systems are […]
CLAIRE seeks to strengthen European excellence in AI research and innovation. Its extensive network forms a pan-European Confederation of Laboratories for Artificial Intelligence Research in Europe. CLAIRE was launched in 2018 as a bottom-up initiative by the European AI community and aims for “brand recognition” similar to CERN.
The financial sector is the largest user of digital technologies and a major driver in the digital transformation of the economy. Financial technology (FinTech) aims to both compete with and support the established financial industry in the delivery of financial services. Globally, more than $100 billion of investments have been made into FinTech companies and […]
