Financial Data Science for Responsible Investors

Forthcoming 10-4-10 Anniversary Book, Environmental Agency Pension Fund, Bristol, UK

8 Pages Posted: 18 Aug 2016

See all articles by Andreas G. F. Hoepner

Andreas G. F. Hoepner

Smurfit Graduate Business School, University College Dublin; European Commission - DG FISMA

Date Written: August 11, 2016

Abstract

A core component of many responsible investment policies such as the one of the UK's Environmental Agency Pension Fund (EAPF) is to “apply evidenced based decision making in the implementation of responsible investment.” In the view of Faith Ward, EAPF's Chief Responsible Investment and Risk Officer, Financial data science is well suited to aid in implementing these policies, as it "uses real world data and focuses on the predictability of outcomes, allowing practical solutions to be developed more quickly than work based on economic theory. It parallels the work to medical science where you would start treating the symptoms of disease long before you know the exact cause." Following Faith's foreword, I argue in this chapter that financial data science is a more suitable paradigm for responsible investor than financial economics and why current markets are unlikely fully efficient to ESG data.

Suggested Citation

Hoepner, Andreas G. F., Financial Data Science for Responsible Investors (August 11, 2016). Forthcoming 10-4-10 Anniversary Book, Environmental Agency Pension Fund, Bristol, UK, Available at SSRN: https://ssrn.com/abstract=2821553

Andreas G. F. Hoepner (Contact Author)

Smurfit Graduate Business School, University College Dublin ( email )

Blackrock, Co. Dublin
Ireland

European Commission - DG FISMA ( email )

2 Rue de Spa
Brussels, 1000
Belgium

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