Ciência-IUL
Publications
Publication Detailed Description
Random Walk and Reserves Modeling in Studying Pensions Funds Sustainability
Document Title
EasyChair Preprint Nº 7882
Year (definitive publication)
2022
Language
English
Country
United Kingdom
More Information
Web of Science®
Scopus
This publication is not indexed in Scopus
Google Scholar
This publication is not indexed in Google Scholar
Abstract
Random walk is a stochastic process classic example, used to study a set of phenomena and, particularly, as in this article, models of reserves evolution. Random walks also allow the construction of significant complex systems and are also used as an instrument of analysis, being used in the sense of giving a theoretical characteristic to other types of systems. Our goal is primarily to study reserves to see how to ensure that pension funds are sustainable. This classic approach to the pension funds study makes it possible to draw interesting conclusions about the problem of reserves.
Acknowledgements
This work is partially financed by national funds through FCT -
Fundação para a Ciência e Tecnologia, I.P., under the project FCT UIDB/04466/2020.
Furthermore, the author thanks the ISCTE-IUL and ISTAR-IUL, for their support.
Keywords
Reserves,Ruin,Random walks,Pensions funds
Fields of Science and Technology Classification
- Mathematics - Natural Sciences
- Economics and Business - Social Sciences
Funding Records
Funding Reference | Funding Entity |
---|---|
FCT UIDB/04466/2020. | FCT -Fundação para a Ciência e Tecnologia, I.P. |
Contributions to the Sustainable Development Goals of the United Nations
With the objective to increase the research activity directed towards the achievement of the United Nations 2030 Sustainable Development Goals, the possibility of associating scientific publications with the Sustainable Development Goals is now available in Ciência-IUL. These are the Sustainable Development Goals identified by the author(s) for this publication. For more detailed information on the Sustainable Development Goals, click here.