معرفی
David Happersberger is an Honorary Researcher at Lancaster University Management School (LUMS), affiliated with the Department of Accounting and Finance at Lancaster University. His academic work focuses on integrating quantitative methods into financial research.
- Research Interests: Financial Econometrics, Return Volatility Modeling, Asset Allocation, Portfolio Management, and Risk Management.
- Teaching: Delivers Quantitative Finance (AcF 324) and Quantitative Methods for Finance (AcF 501).
- Research Grants: Recipient of LUMS Doctoral Studentship (2015-2019), ESRC Award Studentship (2015-2019), and LUMS Conference Grant Scheme (2017).
Publications: His 2022 doctoral thesis explores systematic and factor investing strategies using alternative data and machine learning, aligning with trends in data-driven finance.
- Scientific Awards: EFM 2020 Top Download Award.
Collaborations: Supervised by Ingmar Nolte (Lancaster) and Harald Lohre (external, Invesco Quantitative Strategies). Participated in workshops/seminars like the Doctoral Workshop on Applied Econometrics, 8th CEQURA Conference, and 3rd KoLa Workshop.
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