Abstract
Socially Responsible Investing is attracting considerable interest from industry and academia. However, the published academic literature has been severely limited in scope. Fund flows are one of the under researched dimensions of ESG investing (Daugaard, 2020). This gap in the literature holds significant potential to improve our understanding of what motivates investor choices (Bollen, 2007). In particular, we can analyse SRI fund flows to evaluate whether the PRI is successful at signalling which funds have quality SRI investment processes to investors. This is important as it will determine whether the PRI is able to deliver on its mandate: creating a sustainable global financial system. More broadly, this research represents a litmus test for whether intergovernmental organisations (e.g. the UN) have a useful role in contributing to a sustainable society.
In addition to the practical concern over PRI’s influence, fund flow analysis also has an important technical role in empirical finance. Fund flow analysis is a “text-book” example of endogeneity. Fund flow models typically contain all three main types of endogeneity: dynamic endogeneity, simultaneity and unobserved heterogeneity. Therefore, solving the endogeneity issues in the context of fund flows can represent a template for applying endogeneity solutions to many other areas of empirical finance.
This paper applies a system GMM approach to mitigate the inherent endogeneity in fund flow analysis. The SRI fund flow data is produced by combining data from the Centre for Research in Security Prices (CRSP) Mutual Fund Database with the PRI signatory list. The findings of this research indicate the PRI is not successful at attracting flows to the funds managed by PRI signatories. These findings cast doubt on the ability of PRI to positively impact future SRI processes. Potential strategies to respond to this issue can be sourced from the literature on intergovernmental organisations (IGO’s). Strategies to increase the impact of the PRI (and other IGO initiatives) include: establishing IGO autonomy (Manulak, 2017), employing new frameworks to improve how IGO’s signal quality SRI (Bergh et al., 2014), and improving the mechanisms for collaboration — ranging from information sharing to coordinated action and conflict resolution (Galaz et al., 2012). Signalling theory also provides a useful framework to find improvements. This theory identifies the key elements of effective signalling. These elements include the signal cost, the nature of the information problem, the signal confirmation process and the desired construct of optimal solutions.
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Original language | English |
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Title of host publication | Governance, Corporate Culture and Financial Markets |
Subtitle of host publication | 11th Financial Markets and Corporate Governance Conference |
Place of Publication | Online |
Publisher | La Trobe University |
Pages | 1-2 |
Number of pages | 2 |
Publication status | Published - 2021 |
Event | 11th Financial Markets and Corporate Governance Conference: Governance, Corporate Culture and Financial Markets - Virtual Duration: 7 Apr 2021 → 9 Apr 2021 https://www.latrobe.edu.au/business/about/financial-markets-and-corporate-governance-conference |
Conference
Conference | 11th Financial Markets and Corporate Governance Conference |
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Abbreviated title | FMCG 2021 |
Period | 7/04/21 → 9/04/21 |
Internet address |
Keywords
- endogeneity
- signalling theory
- fund flows
- socially responsible investing
- system GMM