Performative Praktiken am Kapitalmarkt

2015 ◽  
Vol 59 (4) ◽  
Author(s):  
Sabuha Ilgaz ◽  
Hans-Martin Zademach

Performative capital market practices. The case of socially responsible investments in Germany. Socially responsible investment (SRI), also referred to as sustainable, responsible or impact investing, is an investment discipline that does not only take conventional financial criteria into account (most notably return, risk and liquidity), but also puts emphasis on environmental, social, governance (ESG) considerations to generate long-term competitive financial returns and positive societal impact. Key instrument in this market are so-called sustainability ratings which seek to assess the economic, environmental and social values and performance of potential investment objects. Such ratings are produced by a worldwide growing, but still limited number of private rating agencies that offer a dazzling variety of - in some cases even contradictory - ratings, rankings, indices and awards that have an enormous potential to influence investment decisions of all kind of investors. Applying a cultural geographies of economies approach, the paper in-hand aims to shed new light on this particular group of financial agents and their particular practices. It presents original qualitative data from Germany that delivers insights on the different ways these agencies follow in their assessments, how they define, operationalize and perform the notion of sustainability, and how effective they are in actually contributing to a more sustainable world.

2018 ◽  
Vol 4 (1) ◽  
pp. 27-40 ◽  
Author(s):  
J. A. González Bueno ◽  
J. Núñez Rodríguez

The concern of investors for environmental, social and corporate governance issues is giving rise to certain changes in the investment decision-making process. Given this situation, socially responsible investment has received the attention of practitioners and academics, and has reached a significant level of development in financial community in recent years. The main goal of this paper is to examine social rating methodologies developed by the two most renowned agencies worldwide: MSCI ESG STATS and Vigeo-Eiris.


2020 ◽  
Vol 12 (5) ◽  
pp. 2096 ◽  
Author(s):  
Mariano Méndez-Suárez ◽  
Abel Monfort ◽  
Fernando Gallardo

(1) Social Impact Bonds (SIBs) foster the relationships between public and private sectors while adding value to new forms of investment that are closely linked to Socially Responsible Investments (SRIs). In this context, Sustainable Developments Goals (SDGs) aim to strengthen global partnerships in order to achieve the 2030 Agenda. Sustainable banking should consider its role in both new responsible investment products and the 2030 Agenda. This study aims to: (i) estimate the ROI of SIBS, (ii) define a financial formulation and a measurement system, and (iii) explain the relationship between SIBs and SDGs. (2) This research analyzes SIBs from an SDG approach, and proposes a valuation model based on a financial options valuation methodology that clarifies the financial value of the world’s first SIB (Peterborough Prison, UK). (3) Findings suggest that investors expect to have a negative return of 16.48%, and that this expected loss may be compensated for by the short- and long-term positive impact of an intervention in society. (4) It is shown that SIBs provide an opportunity to reach SDG 17 and improve sustainable investment portfolios, while providing an opportunity to strengthen a company’s Corporate Social Responsibility policy and its corporate reputation.


2021 ◽  
Author(s):  
A. K. M. Amanat Ullah ◽  
Samiha Sultana ◽  
Fahim Faisal ◽  
Md. Muzahidul Islam Rahi ◽  
Md. Ashraful Alam ◽  
...  

Automated trading is used in most of the major markets of our world. In order to ensure sustainable development, incorporating ethical and socially responsible ideas while designing these Artificial Intelligence (AI) systems has become a necessity. Both the industry and the academia are working towards Responsible AI, which can make Socially Responsible Investments (SRI). This paper reviews the research on SRI investment in the financial sector and evaluates these methods, which can help find future research directions in Computational Finance. This survey looks at the machine learning techniques used for ethical decision-making while stock or forex trading, which will benefit any further research work on Responsible AI in Finance.<br>


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