This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Here, I refer to data generated through human activities. Some data, though observed and recorded by humans, are not about human activities, like the movements and orbits of celestial objects.
- 2.
The lack of emissions data is due to the fact that they have only recently been identified as material information, and the fact that the TCFD framework is still a voluntary one.
References
Arner, D., Barbaris, J., & Buckley, R. (2015). The evolution of Fintech: A new post-crisis paradigm. University of Hong Kong Faculty of Law Research Paper No. 2015/047. https://www.researchgate.net/publication/313365410_The_Evolution_of_Fintech_A_New_Post-Crisis_Paradigm. Accessed 02 February 2021.
Blanque, P. (2021). The battle for data has just begun. ESG Investor. https://www.esginvestor.net/the-battle-for-data-has-just-begun/. Accessed 02 February 2022.
Bollier, D. (2010). The promise and peril of big data. Aspen Institute. https://www.aspeninstitute.org/wp-content/uploads/files/content/docs/pubs/The_Promise_and_Peril_of_Big_Data.pdf. Accessed 02 February 2020.
Boyd, D., & Crawford, K. (2012). Critical questions for big data. Information Communication & Society, 15(5), 662–679. https://doi.org/10.1080/1369118X.2012.678878
Carter, P. (2011). Big Data analytics: Future architectures, skills and roadmaps for the CIO. White Paper IDC.
Clemons, E. K., & Weber, B. W. (1990). London’s Big Bang: A case study of information technology, competitive impact, and organizational change. Journal of Management Information Systems, 6(4), 41–60.
Corea, F. (2019). An introduction to data. Springer Nature.
Doornik, J. A., & Hendry, D. F. (2015). Statistical model selection with “Big Data”. Cogent Economics and Finance, 3(1). https://doi.org/10.1080/23322039.2015.1045216. Accessed 02 February 2021.
ECB. (2021). Algorithmic trading: Trends and existing regulation. European Central Bank. https://www.bankingsupervision.europa.eu/press/publications/newsletter/2019/html/ssm.nl190213_5.en.html. Accessed 02 February 2022.
Gomber, P., Arndt, B., Lutat, M., & Uhle, T. (2011). High-frequency trading. Goethe Universitat Frankfurt AM Main. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1858626. Accessed 02 February 2021.
Hartford, T. (2014). Big data: Are we making a big mistake? Financial Times. https://www.ft.com/content/21a6e7d8-b479-11e3-a09a-00144feabdc0
Herman, Y. (2021). Britain’s Sunak pledges to ‘rewire’ global finance system for net zero. Reuters News. https://www.reuters.com/business/cop/britains-sunak-pledges-rewire-global-finance-system-net-zero-2021-11-03/. Accessed 14 December 2021.
Keynes, J. M. (1920). Economic consequences of the peace. Harcourt.
Knuth, D. E. (1968). The art of computing volume 1: Fundamental algorithms. Addison-Wesley.
Laney, D. (2001). 3D data management: Controlling data volume, velocity and variety. META Group Research Note, 6. https://studylib.net/doc/8647594/3d-data-management--controlling-data-volume--velocity--an… Accessed 02 February 2022.
Lohr, S. (2012). The age of Big Data. The New York Times. https://www.nytimes.com/2012/02/12/sunday-review/big-datas-impact-in-the-world.html. Accessed 02 December 2021.
Markoff, J. (2018). Time split to the nanosecond is precisely what wall street wants. The New York Times. https://www.nytimes.com/2018/06/29/technology/computer-networks-speed-nasdaq.html. Accessed 02 February 2021.
Mckinsey GI. (2011). Big data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute. https://www.mckinsey.com/~/media/mckinsey/business%20functions/mckinsey%20digital/our%20insights/big%20data%20the%20next%20frontier%20for%20innovation/mgi_big_data_full_report.pdf. Accessed 02 February 2021.
McKinsey GI. (2016). The age of analytics: Competing in a data-driven world. McKinsey Global Institute. https://www.mckinsey.com/~/media/mckinsey/industries/public%20and%20social%20sector/our%20insights/the%20age%20of%20analytics%20competing%20in%20a%20data%20driven%20world/mgi-the-age-of-analytics-full-report.pdf. Accessed 16 June 2020.
SEC. (2020). Staff report on algorithmic trading in U.S. Capital Markets. Securities and Exchange Commission. https://www.sec.gov/files/Algo_Trading_Report_2020.pdf. Accessed 02 February 2022.
SIFMA. (2019). Electronic trading market structure primer. SIMFA. Securities Industry and Financial Markets Association. https://www.sifma.org/wp-content/uploads/2019/10/SIFMA-Insights-Electronic-Trading-Market-Structure-Primer.pdf. Accessed 02 February 2022.
TCFD. (2017). Final report: Recommendations of the task force on climate-related financial disclosures. https://assets.bbhub.io/company/sites/60/2020/10/FINAL-2017-TCFD-Report-11052018.pdf. Accessed 02 February 2021.
TCFD-PAT. (2021). Measuring portfolio alignment: Technical considerations. https://www.tcfdhub.org/wp-content/uploads/2021/10/PAT_Measuring_Portfolio_Alignment_Technical_Considerations.pdf. Accessed 02 February 2022.
TCFD-PAT, (2020). Measuring portfolio alignment. https://www.tcfdhub.org/wp-content/uploads/2020/10/PAT-Report-20201109-Final.pdf. Accessed 02 February 2022.
TNFD, (2021b). Nature in Scope: A summary of the proposed scope, governance, work plan, communication and resourcing plan of the TNFD. Taskforce on Nature-related Financial Disclosures. https://tnfd.global/wp-content/uploads/2021/07/TNFD-Nature-in-Scope-2.pdf. Accessed 02 February 2022.
Turing, A. (1948). Intelligent machinery: A report. National Physical Laboratory. https://www.npl.co.uk/getattachment/about-us/History/Famous-faces/Alan-Turing/80916595-Intelligent-Machinery.pdf?lang=en-GB. Accessed 02 February 2022.
UNFCCC. (2021). COP 26 and the Glasgow Financial Alliance for Net Zero (GFANZ). https://racetozero.unfccc.int/wp-content/uploads/2021/04/GFANZ.pdf. Accessed 02 February 2022.
Author information
Authors and Affiliations
Corresponding author
Copyright information
© 2022 The Author(s)
About this chapter
Cite this chapter
Papazian, A.V. (2022). The Algorithms of Sustainable Finance. In: The Space Value of Money. Palgrave Macmillan, London. https://doi.org/10.1057/978-1-137-59489-1_7
Download citation
DOI: https://doi.org/10.1057/978-1-137-59489-1_7
Published:
Publisher Name: Palgrave Macmillan, London
Print ISBN: 978-1-137-59487-7
Online ISBN: 978-1-137-59489-1
eBook Packages: Economics and FinanceEconomics and Finance (R0)