ProfessorAndreas Hoepner

Research Interests (as of January 2026):

• Financial Data Science: my interests include the accurate measurement of investment risks; advancing Augmented Intelligence (AI) algorithms based on big data and/or deep data; the efficiency, effectiveness and integrity of financial markets; asset management in a single asset, multi-asset or mixed-asset setting; the opportunities of Augmented/Artificial Intelligence for application contexts from static via dynamic recognition to reactive predictions; and developments in sustainable, evidence-based investing (e.g. scientific alpha, asymmetric beta) and exchange traded products.
• Operational Risks & Intangible Assets: my interests include all seven operational risk event types as defined by Basel II; the econometrics and dynamic valuation of intangible assets such as augemnted/artificial intelligence, confidence, corporate compliance, corporate environmental responsibility, corporate governance, corporate social responsibility, cyber security, dependencies, diversity, expertise, flexibility, human capital, innovation, knowledge, leadership, power, transparency, and trust; as well as the performance of responsible investments across all asset classes.
• Organizational Refinancing: my interests includes the refinancing instruments used and pressures faced by organizations such as corporates, sovereigns, (micro)banks or municipalities; the conflicts of interest and resulting accuracy of auditors and rating agencies; the transparency and covenants of corporate capital structures across all legal entities; as well as the degree to which high quality management of organizational tensions between quality, costs, time, flexibility, learning and corporate culture can enhance refinancing processes.
• Scientific Process & Interdisciplinary Research Methods: my interests include the scientometrics of research outputs, outcomes and impacts; the concepts of level of measurement, data dictionaries, data science factories and measurement validity; meta regression analysis; the statistics of sign changes in interaction terms and ratios; the role of science in/for society; scientific reasoning from dichotomous vs. distributional paradigms; causality and predictability as interpreted in interdisciplinary research methods; the modelling of volatility, uncertainty, complexity and ambiguity; and the differentiation of data driven statistics and model driven probability.
• Sustainable Finance & Societal Asset Owners: my interests include the ability of societal asset owners to empower a sustainable transition to a low carbon economy; the accurately risk adjusted performance of societal asset owners such as pension funds, endowments, foundations, insurances and the deposits given to banking groups; the effectiveness of their investor activism, engagement, stewardship and voting behaviour; the efficiency of their resource use in terms of fee structure and technology; as well as crucial aspects of their behaviour such as transparency, long termism, continuous education and other actions they may take to achieve a more conflict-free capitalism.
• Transparent Sustainable Development: my interests include the divergence between disclosure and reporting; accurate disclosure of greenhouse gas emissions across all scopes and categories where available and precautionary principle based estimations otherwise; conflicts between practical and theoretical corporate governance; corporate legal responsibility and the effectiveness of corporate law; regional progress towards the Sustainable Development Goals; and systemic risks and entrenched obstacles preventing a conflict-free capitalism.